bluuebunny/crossref_metadata_2025_split huggingface dataset:
Network Situation Assessment Method Based on Improved BP Neural Network
Authors: Du ZhiQiang , Yao Haitao , Fu Yanfang , Cao Zijian , Liang Hongtao , Ren Jinkang 
Published: October 2022

Abstract
The wide application of the Internet and the use of various network devices make the existing network scale increasingly complex, and the hidden dangers of various network security incidents are gradually exposed. Software Defined Network (SDN) brings potential security risks and challenges while changing the underlying network structure. In this paper, a situation assessment model based on SDN network is proposed by summarizing the important indicators and parameters of SDN. Then, the situational factors are mapped to the layers of the neural network, and the weights and thresholds of the back propagation(BP) neural network are optimized by the improved algorithm to obtain the global optimal solution. Finally, the purpose of situation assessment and comprehensive rating of the SDN network is realized. The experimental results show that the situation assessment method proposed in this paper has good effect and high accuracy, which provides a better basis for the next situation prediction.
Comparison of polyethylene wear of vitamin E-diffused and MPC-grafted highly cross-linked polyethylene in total hip arthroplasty
Authors: Naito Yohei , Hasegawa Masahiro , Tone Shine , Wakabayashi Hiroki , Sudo Akihiro 
Published: October 2022

Abstract
The purpose of this study was to compare polyethylene wear of vitamin E-diffused highly cross-linked polyethylene (HXLPE) and 2-methacryloyloxyethyl phosphorylcholine (MPC)-grafted HXLPE in cementless total hip arthroplasty (THA). Thirty-six THAs with vitamin E-diffused HXLPE (VEPE) and 143 THAs with MPC-grafted HXLPE were evaluated. The Merle d’Aubigné and Postel scores were administered. Kaplan-Meier survivorship was analyzed. Annual radiographs were analyzed using computerized method and linear steady-state wear rate was measured. The mean duration of follow-up was 9 years (range, 6–11 years) in VEPE group and 8 years (range, 5–10 years) in MPC group (p < 0.001). The mean Merle d'Aubigné and Postel scores improved postoperatively in both groups. Kaplan-Meier survivorship with endpoint of revision was 100% (95% confidence interval [CI], 100–100%) in VEPE group and 98% (95% CI, 94–99%) in MPC group at 9 years (p = 0.083). The mean steady-state wear rate was 0.004 mm/year in VEPE group and 0.007 mm/year in MPC group (p = 0.972). The clinical results of both groups were good and wear rates of both liners were very low.
miR-200a-3p regulates PRKACB and participates in aluminium-induced tau phosphorylation in PC12 cells
Authors: Li Huan , Liu Qun , Zhang Qinli , Xue Xingli , Zhang Jingsi , Zhang Jing , Lin Li , Niu Qiao 
Published: October 2022

AbstractAluminium (Al) is an environmental neurotoxin that humans are widely exposed to, but the molecular mechanism of its toxic effects is not fully understood. Many studies have shown that exposure to Al can cause abnormal phosphorylation of the tau protein that is believed as one of pathological features of Alzheimer’s disease. Increasing evidence indicates that microRNAs (miRNAs) may be involved in the pathological processes of neurodegenerative diseases and are potential regulatory factors for related target genes. Phosphorylation at Ser-133 of cAMP response element-binding protein (CREB) is one of the major pathways of CREB activation, and phosphorylation at this site is controlled by protein kinase A (PKA). The catalytic subunit of PKA, cAMP-dependent protein kinase catalytic subunit beta (PRKACB), phosphorylates CREB. The target gene prediction software TargetScan showed that PRKACB was one of the target mRNAs of miR-200a-3p. The purpose of this study was to investigate whether miR-200a-3p regulates the PKA/CREB pathway by targeting PRKACB and leads to abnormal phosphorylation of the tau protein in nerve cells. The results showed that Al exposure increased the expression level of miR-200a-3p, and miR-200a-3p increased the expression of targeted down-regulated PRKACB, and then decreased the PKA/CREB signalling pathway activity, leading to abnormal hyperphosphorylation of tau.
Plasma Exosome-derived MicroRNAs profiles in patients with serofast syphilis
Authors: Liu Jinquan , Zhang Ruihua , Lian Tingting , Chen Zuoxi , Zhang Ruili , Wang Qianqiu 
Published: October 2022

Abstract
Background
Syphilis is a bacterial STI caused by Treponema pallidum that results in substantial morbidity and mortality. Currently, it has been suggested that exosomes (Exo) may play a possible role as novel biomarkers for the detection of infectious diseases. Here, we investigated the exosomal miRNA derived from plasma in syphilis, aimed to help in the diagnosis and prognosis of serofast syphilis.
Methods
A discovery cohort was used to investigate exosomal miRNAs that vary across the different subjects of participants. Exosomal miRNAs were isolated from peripheral plasma obtained at secondary syphilis(SS,n=5), serofast(SF,n=6),healthy control(HC,n=5) and serologically cured syphilis patients(SC,n=4), and microarray analysis was performed. A validation cohort was used to confirm the selected differential expression of exosomal miRNAs by real-time fluorescence quantitative PCR (RT-qPCR). ROC analysis was used to evaluate the differentiation power of these miRNAs in syphilis diagnosis.
Results
The microarray result revealed a specific plasma exosomal miRNA expression profile in serofast syphilis. 44 miRNAs showed significant differences between serofast and secondary syphilis, and 12 miRNAs were differentially expressed between serofast and serologically cured syphilis patients. MiR-1273g-3p, miR-4485-5p, miR-197-3p, miR- 1908-3p were significantly upregulated in syphilis patients in a stage-specific manner. These miRNAs singly or jointly displayed an improved diagnostic capability to differentiate serological cure patients or healthy people from serofast syphilis.
Conclusions
In practical work, differently-expressed exosomal miRNAs may be of great clinical significant utility in the diagnosis and prognosis of serofast syphilis. According to the data, miR-197-3p, miR- 1908-3p, miR-1273g-3p, miR-4485-5p within exosomes might singly or jointly be potential diagnostic biomarkers at serofast syphilis.
Optimization of the extraction process of Millet Bran polysaccharides and Antioxidant activities analysis
Authors: Zong Enxiang , Guo Dingyi , Fan Sanhong , Bai Baoqing , Zhang Jinhua 
Published: October 2022

Abstract
This study aimed to optimization of the extraction process of a novel water-soluble millet bran polysaccharide (MBP), and investigated its antioxidant activities in vitro. Finally, the optimal process of ultrasonic-assisted enzymatic extraction of millet bran polysaccharide was obtained as follows: Liquid-solid Ratio of 31:1, enzymatic hydrolysis temperature of 59 ℃, ultrasonic time of 22 min. The extraction amount of millet bran polysaccharide was 3.87%. MBP-1 was extracted from millet bran by ultrasonic-enzyme-assisted method, and DEAE-52 cellulose and Sephadex G-100 were used for isolation and purification. The strong scavenging ability to hydroxyl radical, DPPH, superoxide radical and ABTS radical, and strong Fe2+ chelating activity, and the high inhibition rates of α-glucosidase and α-amylase in vitro indicate that MBP-1 possessed strong antioxidant and hypoglycemic activities. The results shown that MBP-1 can be used as potential hypoglycemic agent and have certain application prospects in food-related fields, such as functional food additives.
“Classification and Detection of Lung Cancer Nodule using Deep Learning of CT Scan Images”: A Systematic Review
Authors: Abrar Anas , Rajpoot Priyanka 
Published: October 2022

Abstract
Lung cancer is considered as the common cancerous neoplasms across the globe. In 2018, the World Health Organization (WHO) statistics approximated 2.09 million lung cancer cases with 1.76 million deaths globally. Early identification is an important aspect of providing the greatest chance of healing the patients. The objective of this manuscript was to explore how Deep Learning (DL) performs when the method is evaluated on datasets that are not from LUNA 16 for detection of pulmonary nodule and categorization of computed tomography scans. This report covered only peer-reviewed, original research papers using DL technology, and only findings were included from testing on datasets other than LUNA-16 and LIDC-IDRI. Deep learning utilizes Computed-Tomography (CT) to automatically improve the precision of an initial diagnosis of lung cancer. Consequently, this manuscript presents a short yet important review of DL methods to solve the extraordinary challenges of detecting lung cancer. In addition, this paper also traces the various causes, types, and treatment procedures of lung cancer. The fundamental principles of deep learning and CT have been described. A review of the various lung cancer detection methods via deep learning has been presented. Finally, discussions have been provided for further improvisation of the deep learning method. 9 studies investigated pulmonary nodule detection performance, 10 studies investigated the classification of pulmonary nodule performance, and 16 studies documented of pulmonary nodule for both classification and detection. Some of prominent DL methods which have been successful in detection and categorization of lung cancer nodules are Computer Aided Detection (CAD), Wavelet Recurrent Neural Network (WRNN), Optimal Deep Neural Network (ODNN), Massive Artificial Neural Network (MTANN) and Convolutional Neural Network (CNN) Training. Among, these DL methods, in most cases CNN achieved higher accurate results. The reports CNN achieved results between 73%-96.73% for both classification and detection. The CNN achieved results between 76%-99.2% for lung nodules classification and also achieved the results between 74.6%-97.78% for lung nodule detection. In addition to this, it was found that other DL method i.e., MTANN achieved the accurate results between 97%-100% for detection which came out to be superior related to other DL approaches.
Evaluate the performance of the artificial neural network model in hybrids with different preprocessors to forecast the streamflow time series
Authors: Momeneh Sadegh , Nourani Vahid 
Published: October 2022

Abstract
In arid and semi-arid regions, accurate forecasting of hydrological processes and sustainable management of water resources is inevitable due to the floods and water crisis. In the present study, was the various data preprocessing techniques used to help understand the processes and increase the accuracy of the artificial neural network (ANN) model. To forecast streamflow from preprocessors including, discrete wavelet transform (DWT), empirical mode decomposition (EMD), complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), successive variational mode decomposition (SVMD), and multi-filter of the smoothing (MFS) in hybrid with the ANN model, were utilized. In general, the results showed that choosing the suitable approach to applying input data and the suitable preprocessor can have a highly favorable effect on the performance of hybrid models for daily streamflow forecasting. Overall, the results indicate that had the best performance the MFS-ANN model in short-term forecasting and the SVMD-ANN model in long-term forecasting.
Design and performance of a small bath cryostat with NMR capability for transport of hyperpolarized samples
Authors: Capozzi Andrea 
Published: October 2022

Abstract
As of today, dissolution Dynamic Nuclear Polarization (dDNP) is the only clinically available hyperpolarization technique for 13C-MRI. Despite the clear path towards personalized medicine that dDNP is paving as an alternative and/or complement to Positron Emission Tomography (PET), the technique struggles to enter everyday clinical practice. Because of the minute-long hyperpolarization lifetime after dissolution, one of the reasons lies in the need and consequent complicacies of having the machine that generates the hyperpolarization (i.e. the dDNP polarizer) on site. Since some years, research groups are working to make hyperpolarization transportable. Two different methods have been developed that allow “freezing” of the nuclear spin state prior to samples extraction from the polarizer. Nevertheless, so far, all attempts of transport have been limited to a very small scale and to the level of proof-of-principle experiments. The main reason for that is the lack of adequate hardware, strategy, and control on most of the crucial parameters. To bridge the technical gap with PET and provide MRI facilities with hours long relaxing hyperpolarized compounds at controlled conditions, a new generation of low cost/small footprint liquid He cryostats equipped with a magnetically enforced cryogenic probe is needed. In this paper, we detail the theoretical and practical construction of a hyperpolarized samples transportation device small enough to fit in a car and able to hold a sample at 4.2 K for almost 8 h despite the presence of a cryogenically-demanding purpose-built probe that provides enough magnetic field upon insertion of the sample and NMR quality homogeneity at storage position. Should transportable hyperpolarization via DNP become a reality, we herein provide important details to make it possible.
Classification of Text and Non-Text from Bilingual Real-Time Document Using Deep Learning Approach
Authors: G SHIVAKUMAR , M Ravikumar , J Shivaprasad B 
Published: October 2022

Abstract
In this work, we have presented an efficient approach for classification of text and non-text document information from real time office documents images which are bilingual using a deep learning approach i.e., U-net architecture for experimentation purpose. We have created our own dataset containing 2000 document images. Initially pre-processing is applied on the input document images proposed method is compared with other existing methods and obtained accuracy of 99.62% different performance measure i.e., (Specificity, Sensitivity, Precision, F1-Score) used in the experimentation.
Influence of Crushed Sand and Lime Stabilizer on the properties of Clayey Soil for Pavement Sub-Grade
Authors: Rathod Rajshekhar Gopal , Ravande Kishore 
Published: October 2022

Abstract
In poor subgrade soil areas, pavement construction apt to be relatively expensive. Replacing the poor subgrade soil as a measure taken to improve soil properties cannot always act as an effective economical solution. Taking this as deliberation, with the help of stabilizers similarly, Lime and Crushed sand a trial study has been executed on the soil using three different proportions of lime, crushed sand to illustrate an effective economical solution by the use of subgrade soil chemo-mechanical stabilization. The trial is mainly focused on plasticity, consolidation, compaction and strength characteristics. This study involves trial investigations to categorize the subgrade soils of 3m thickness (which are highly malleable clay cum dusty soils founded in Loni Kalbhor, Pune, Maharashtra). The reports of investigation will be based on the following tests like – Specific Gravity Test (IS 2730-3-1 1980), Sieve Analysis (IS 2720 Part 4 1965), California Bearing Ratio (ASTM D4429-09a), Standard Proctor Test (IS 2720 Part 8 1983), Atterberg Limit of Consistency (IS 2720 Part 5 1985). These trials were conducted to know the properties of the soil like consistency, bearing capacity, comparison of effective methods to improve the bearing capacity using different components to improve the properties of soil. These experiment’s main objectives are to identify the effectiveness of stabilizing the weak soil using crushed sand and lime blend. Examining the blended soil’s physical properties by using Crushed sand and Lime mixture. (CBR) California Bearing Ratio Test under X-ray/Electronic Microscope study and for the blended portion examination the CBR samples test was held.
Malnutrition: an Unrecognized and Untreated Complication in Cancer
Authors: J Sowmiya , Thilagamani S. 
Published: October 2022

Abstract
The World Health Organization has reported that cancer is the second most common cause of death (9.3 million) among all Non Communicable Diseases (NCD’s). In addition, Cancer statistics of India disclosed that top five cancer of men and women accounts for approximately 47.2% of all cancers. Amidst all the complications in cancer, malnutrition is the most important complication that remains unrecognised and untreated. Studies have revealed that the prevalence of cancer associated malnutrition ranges from approximately 20% to ˃70%. It is also delineated that10–20% of cancer patient deaths are related to malnutrition, not the malignancy itself. Malnutrition and cachexia are associated with delay in cancer treatment, poor quality of life, longer hospital stay, increased treatment costs, increased morbidity and mortality. Therefore, cancer associated malnutrition is of prime importance to both oncologists and dietitians. This review article discloses current statistics regarding global and Indian scenarios, causes, risk factors and treatment types. Furthermore, the consequences of malnutrition in patients with cancer are brought to light. To reduce the risk of malnutrition in treatment outcomes and quality of life, early nutritional screening and assessment should be carried out. Various validated nutrition screening and assessment tools for detecting the clinical status of patients with cancer were reviewed. Early nutritional screening, assessment, diagnosis and provision of individualised care plans for each cancer patient should be considered as a vital approach.
Efficacy of HIV and AIDS Education Programs in Elmina Fishing Community in Ghana
Authors: Kyei-Gyamfi Sylvester 
Published: October 2022

Abstract
One of the most important steps in HIV prevention is the provision of education to raise awareness to ensure individuals have sufficient understanding about HIV and AIDS and encourage them to apply that knowledge. The study is based on an earlier descriptive cross-sectional study that sought a link between fishers' mobility and their risk of HIV exposure in the Elmina fishing community. The current paper focuses on initiatives taken within the study area to inform fishers about HIV and AIDS. Additionally, it analyzes the successes and challenges of these programs and offers suggestions for improvement. Public and community durbars, town hall meetings, radio and television transmission, film creation, and the distribution of IE&C materials are the main strategies utilized to carry out HIV and AIDS education. The results suggest that few fishers in the study area take part in programs, whiles projects on HIV and AIDS cannot be implemented consistently and effectively due to lack of funding and delays in the delivery of government funds. To enable organizations whose mandates, relate to HIV and AIDS interventions carry out the programs timely and fully, it is advised that government enhances its financing and ensures timely and full release of program funds.
Unintended Impacts of the Global Budget on the Quality of Healthcare Among Inpatients with Heart Failure in China: An Explanatory Sequential Mixed-Methods Study
Authors: Ning Jie , Tao Hongbing , Huang Yitian , Peng Yarui , Xiong Haoling , Yue Jingkai 
Published: October 2022

Abstract
Background: To evaluate the impact of global budget payment (GBP) reform on the quality of healthcare among inpatients with heart failure (HF) and analyze the influencing factors of healthcare quality in the context of GBP reform. Methods: The administrative data on patients with HF from January 1, 2014 to December 31, 2017 were used, and the in-hospital mortality and length of stay (LOS) were compared using logistic regression and zero-truncated negative binomial regression, respectively. The content analysis method was then used to organize and analyze the records of in-depth interviews with key insiders. Results: A total of 4222 eligible HF patients and 58 interview records were finally analyzed. The in-hospital mortality increased from 1.21% to 3.58% after the GBP reform was implemented (OR, 2.197; 95% CI, 1.153 to 4.229). The average LOS in the pre-budget and post-budget groups was 9.65 days and 9.07 days (IRR, 1.012; 95% CI, 0.997 to 1.027), respectively. Additionally, the top three influencing factors ranked by key frequency analysis are the diagnosis and treatment technology level (50, 86.21%), the supervision of healthcare quality (50, 86.21%) and the implementation of the core system in healthcare quality system (49, 84.48%).Conclusions: The implementation of the GBP had a detrimental effect on the outcome quality for inpatients with HF. Besides, hospital administration, especially quality control, was the most important factor affecting healthcare quality after the implementation of the GBP reform. GBP policy possibly needs to be further improved by policy-makers.
Avaliação Radiográfica da Osteossíntese das Fraturas do Rádio Distal com Placa Distração
Authors: Ezidorio Neander Neves Alves , Vilela Luiz Henrique , Chamon Henrique Gontijo , Ribeiro Paulo Henrique Sampaio , Braga Pedro Henrique , Coelho Neto Eduardo Barbosa , Rezende Luis Guilherme Rosifini Alves 
Published: October 2022

Introdução: As fraturas de rádio distal são as mais comuns na prática ortopédica, perfazendo 17,5% de todas as fraturas de adultos, e 4,5% destas são classificadas como articulares complexas. Entre os diversos métodos disponíveis para o seu tratamento, a placa de distração dorsal é uma opção de tratamento para fraturas cominutivas instáveis do rádio distal, porém pouco utilizada. Objetivo: avaliar radiograficamente os resultados pós-operatórios de pacientes com fraturas do rádio distal do tipo AO 2R3C3 tratados pela técnica de placa distração. Métodos: Estudo retrospectivo que avaliou 26 pacientes, de 20 a 69 anos, submetidos à osteossíntese, no período de 2015 a 2017, com seguimento mínimo de 6 meses. Para mensuração radiográfica, foram definidos como parâmetros: variância ulnar, inclinação volar, inclinação ulnar e degrau articular. Resultados: O valor médio da variância ulnar foi de 0,88 mm, da inclinação volar foi de 3,58 graus, da inclinação ulnar foi de 16,34 graus e e do degrau articular foi de 0,31mm. Conclusão: Conclui-se que o método de placa distração é uma ferramenta adicional útil e eficaz no tratamento de fraturas articulares complexas do rádio distal.