bluuebunny/crossref_metadata_2025_split huggingface dataset:
High MEIS3 expression intimates poor prognosis for clinical stage II/III colorectal cancer patients
Authors: Jian Ma , Li Haitao , Wang Meihua , Zhu Ming , Li Ang , Ling Yang 
Published: June 2021

Abstract
Background
The middle stages colorectal cancer (CRC) patients are severely differentiated, so suitable biomarkers are required to distinguish the cohort with high recurrence risk. We hypothesized that among the specimens retained after surgery, those from cohort who relapsed quickly after surgery may be more capable to find the high-risk markers.
Methods
A lable-free analysis was employed to identify candidate proteins markers in CRC tissues relapsed within three years since surgery. Combined with MEIS3 immunohistochemistry characteristic, we analyzed MEIS3 (myeloid ecotropic viral insertion site 3) expression level in clinical stages. Kaplan-Meier Analysis was adopted to analyze the correlation between gene expression and 5-year disease-free survival (DFS) of CRC patients. Finally, cell biology methods were employed to analyze molecular mechanism for tumor cell migration and metastasis.
Results
Through proteomics immunohistochemistry analysis, we identified protein MEIS3 are mainly located in growth front and other highly invasive areas in cancer. And its expression level is closely associated to the clinical stage of CRC. Furthermore, high MEIS3 expression in cancer tissues is closely related to the 5-year DFS expectations of CRC patients. The 5-year DFS of stage II patients with high MEIS3 expression was significantly lower than that of low MEIS3 expression (60.2% % vs 81.1% p < 0.01). The 5-year DFS III patients with high MEIS3 expression was also significantly lower than those of low MEIS3 expression (38.1% vs 56.7% p < 0.01). The analysis on SW480 cells showed that MEIS3 may promote migration and invasion of CRC cells by regulating the expression of LAMB1.
Conclusion
This study intimates that MEIS3 overexpression is associated to poor prognosis for stage II and III patients, and MEIS3 can promote the CRC cells invasion through regulating LAMB1 expression.
Identification of WRKY transcription factors associated with leaf and corolla senescence in Petunia hybrida
Authors: Astigueta Francisco Horacio , Baigorria Amilcar Hernán , García Martín Nahuel , Delfosse Verónica Cecilia , González Sergio Alberto , Torre Mariana Cecilia Pérez de la , Moschen Sebastián , Lia Verónica Viviana , Heinz Ruth Amelia , Fernández Paula del Carmen , Trupkin Santiago Ariel 
Published: June 2021

Abstract
Several families of transcription factors (TFs) control the progression of senescence. Many key TFs belonging to the WRKY family have been described to play crucial roles in the regulation of leaf senescence, mainly in Arabidopsis. However, little is known about senescence-associated WRKY members in floricultural species. Delay of senescence in leaves and petals of Petunia hybrida, a worldwide ornamental crop are highly appreciated traits. In this work, starting from 28 differentially expressed WRKY genes of Arabidopsis during the progression of leaf senescence, we identified the orthologous in P. hybrida and explored the expression profiles of 20 PhWRKY genes during the progression of natural (age-related) leaf and corolla senescence as well as in the corollas of flowers undergoing pollination-induced senescence. Simultaneous visualization showed consistent and similar expression profiles of PhWRKYs during natural leaf and corolla senescence, although weak expression changes were observed during pollination-induced senescence. Comparable expression trends between PhWRKYs and the corresponding genes of Arabidopsis were observed during leaf senescence, although more divergences were found in petals of pollinated petunia flowers. Integration of expression data with phylogenetics, conserved motif and cis-regulatory element analyses were used to establish a list of solid candidates that could regulate more than one senescence process. Our results suggest that several members of the WRKY family of TFs are tightly linked to the regulation of senescence in P. hybrida.
Development of Slope Deformation Monitoring System Based on Tilt Sensors with Low Power Wide Area Network Technology and Its Application
Authors: Putra Aulia Dharma , Toda Hikaru , Hafidz Achmad , Matsuba Kouji , Kimikado Yuuichi , Takahashi Yoshinori , Tsuzuki Shinji , Kinoshita Naoki , Yasuhara Hideaki 
Published: June 2021

Abstract
A simple monitoring method for observing slope movement and deformation can be performed with tilt sensors. A more efficient monitoring method, using a type of wireless communication called LPWA (Low Power Wide Area) network technology, has also recently become available. In the present study, a monitoring system was developed that combines tilt sensors and LPWA network technology for measuring the movement of slopes and sending the information through wireless communication. Firstly, radio wave propagation experiments were conducted to find the proper location for the gateway device of the monitoring system. Then, in March 2018, the developed system that consists of tilt and water-level sensors and the wireless communication of LPWA was installed at an observation site. Since the installation, the data from the tilt sensors have been successfully collected through LPWA, and a slope failure was unexpectedly observed at the observation site during the Heavy Rain Event of July 2018, which caused severe disasters, particularly from western Japan to the Tokai region. Using the data from the tilt sensors, the rainfall data, and the groundwater level, the slope failure was analysed. A site investigation was conducted, and the shear strength parameter was examined using back analysis method. In conclusion, the developed system using sensors and LPWA has continued to efficiently monitor the movement of the targeted slope, but the collection of additional data will be required to increase the reliability of the system.
Impact of sea level rise and shoreline changes in the tropical island ecosystem of Andaman and Nicobar region, India
Authors: thangaraj mageswaran , V Sachithanandam , R Sridhar , Mahapatra Manik , Purvaja R , Ramesh R 
Published: June 2021

Abstract
We report here a four decades of shoreline changes and possible sea level rise (SLR) impact on landuse/landcover (LULC) in Little Andaman Island by using remote sensing (RS) and GIS techniques. A total of six remote sensing data sets covering years between 1976 and 2018 were used to understand the shoreline changes. Moreover, a Digital Shoreline Analysis System (DSAS) was used to estimate short- and long- term shoreline changes from ArcGIS environment. Besides, the Island vulnerability due to SLR was studied through using digital elevation model (DEM). As a result of Sumatra earthquake (2004), the results were showed a significant variation in shorline upliftment and subsidence. The land subsidence was noticed in the range of 1042-3077 ha with sea level rise between 1 and 5 m. Hence, we conclude that Little Andaman Island is vulnerable to SLR and overwhelm low elvation coastal zone.
Continuity of care and its determinants of routine maternal and newborn health visits in Nepal: Evidence from a nationally representative household survey
Authors: Khatri Resham Bahadur , Karkee Rajendra , Durham Jo , Assefa Yibeltal 
Published: June 2021

Abstract
Background Maternal and newborn health (MNH) is a priority health issue in Nepal, has high maternal and neonatal deaths. Maternal and neonatal deaths can be prevented through uptake of essential antenatal, intrapartum, and postnatal interventions received during routine MNH visits. Not all women, however, receive all recommended routine visits across the MNH Continuum of Care (CoC) in Nepal. This study examined the patterns and determinants of (dis)continuity of care across the MNH continuum. Methods The study included 1,978 women aged 15–49 years who had a live birth in the two years preceding the survey. Data were derived from the Nepal Demographic and Health Survey (NDHS) 2016. The outcome variable was (dis)continuity of care at different stages of MNH visits (at least four antenatal care (4ANC) visits, institutional delivery, and postnatal care (PNC) visit). Several structural, intermediary and health system explanatory variables were included in the analysis. Multinomial logistic regression analysis was conducted, and the magnitude of (dis)continuity of care was reported as relative risk ratios (RR) with 95% confidence intervals (CIs). The statistical significance level was set p<0.05. Results More than two-in-five (41%) women in Nepal received all three MNH visits across the CoC. There was high risk of discontinuity of care during months or weeks prior to childbirth or around childbirth. Higher risk of discontinuation across the CoC was reported among women of disadvantaged ethnic groups, lower wealth status and illiterate. Similarly, women who speak Bhojpuri, provinces six and seven, who had higher birth order (≥4), who involved in agricultural sector, had unwanted last birth had higher risk of discontinuation of MNH visits. Women did not complete all MNH visits if they had poor awareness on health mother groups and if they perceived problem of not having female healthcare providers. Conclusions Women had poor completion of all routine MNH visits. High discontinuation was observed among disadvantaged groups across the COC. Regular monitoring using the composite indicator of continuity of care through routine health management information system is required. Program approaches should focus on disadvantaged women to improve the completion of routine MNH visits and uptake of essential interventions.
Impact of Lymphadenectomy on Short- and Long-term Complications in Patients With Endometrial Cancer
Authors: Proppe Louisa , Alkatout Ibrahim , Koch Ricarda , Baum Sascha , Kotanidis Christos , Achim Rody , Hanker Lars C. , Gitas Georgios 
Published: June 2021

Abstract
IntroductionEarly endometrial cancer is primarily treated surgically via hysterectomy, adenectomy and, depending on tumor stage and subtype, lymphadenectomy. Systematic lymph node dissection is known to cause surgical complications. The aim of the present study was to investigate morbidity and mortality rates associated with lymphadenectomy in patients with endometrial cancer who underwent surgery in a routine clinical setting.MethodsWe collected data from 232 patients who were operated for endometrial carcinoma between 2006 and 2018 at the University of Luebeck, Germany. Surgical complications were viewed in relation to surgical risk factors. Additionally, a questionnaire concerning long-term lymphatic complications and survival was completed. Survival was compared between patients who underwent lymphadenectomy (group I) and those who did not (group II). Results Patients in group I needed revision surgery significantly more often due to postoperative complications (such as lymphoceles) compared to those in group II (p = 0.01). The results indicate more serious complications in patients who underwent a systematic lymphadenectomy and in those with lymph node metastases.15 % of patients who underwent a systematic lymphadenectomy had lymph node metastases. Recurrences occurred in 12.5 % of cases and were significantly more frequent in patients who had undergone a lymphadenectomy, even if the lymph nodes were negative (p = 0.02). A comparison of survival data during the follow-up period revealed no significant difference.The study highlighted the need for a better preoperative risk stratification and the avoidance of lymphadenectomy for surgical staging alone.
Synthesis And Surface Modification of Cellulose Aerogel from Coconut Peat for Oil Adsorption
Authors: La Phat Nam , Huynh Nguyen Cam , Bui Khoa Dang Dang , Pham Khang Tan , Dao Tien Xuan , Tran Thang Quoc , Nguyen Trung Kim , Hoang Nam Minh , Mai Phong Thanh , Nguyen Hieu Huu 
Published: June 2021

Abstract
Oil spillage is one of the world’s biggest environmental problems, its various impacts including shifting the balance of the ecosystem, affecting marine animals, and inhibiting economical activities. Therefore, the efficient resolution of this issue is a topic of great interest. In this work, the solution of choice is an adsorption method using aerogels made from coconut peat. Cellulose coconut peat aerogels (CCPA) are synthesized by cross-linking method with poly(vinyl alcohol) (PVA) and freeze-drying technique to form the porous structure. The CCPA are furthermore dip-coated in poly(dimethylsiloxane) (PDMS) to obtain PDMS-coated cellulose coconut peat aerogel (CCPA-P) with hydrophobic properties for the studying of oil adsorption. The characteristics of CCPA and CCPA-P are evaluated by density and porosity, specific surface area following Brunauer-Emmett-Teller (BET) theory, scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), energy dispersive X-ray analysis (EDX), and water contact angle (WCA) measurements. Results showed that CCPA-10 with the mass ratios of cellulose to PVA 10:1 had the lowest density of 28.21 mg/cm3, highest porosity of 98.15 %. Furthermore, the modified CCPA-P10 had maximum adsorption capacity of up to 2.083 and 2.452 mg/mg for the static adsorption model and dynamic adsorption model, respectively. This indicates that coconut peat is a viable material for aerogel synthesis in oil adsorption applications.
Flow based intrusion Detection system with Whale Optimization and Evolutionary Algorithms (EA) for Diversified Traffic Streams
Authors: rajiv k , Chandra G Ramesh , Prashanthi Vempaty , Akila V , Himabindu D. Dakshayani 
Published: June 2021

Abstract
The technological growth and advances in the internet led to the generation of huge volume of data that networks must be capable of transmitting. Providing security to this data is a challenging task. The development in the internet attracts several vulnerable attacks. The researchers in the literature proposed several machine learning, Deep learning and ANN based approaches for efficient attack detection. However, these approaches are prone to high false alarm rates and exhibits poor performance for diversified incoming traffic, because these methodologies relay on the packet level or transaction level features. The performance is inversely proposal to the diversity ratio of packet level features. To handle this, we introduced a combination of high-performed evolutionary algorithms and neural networks for attack classification at flow level with low false alarm rates and high detection accuracy. A unique set of flow features are defined to handle the traffic at flow level and optimal feature selection using whale Optimization Algorithm (WOA). The gravitational search (GS), and particle swarm optimization (PSO) combinations are used in attack detection phase to train the ANN and results proposed model as GSPSO-ANN with WOA. The performance of the proposed model is evaluated with NSL-KDD and CSE-CIC-IDS2018 datasets. The results are compared with other ANN based conventional methods. The results inferred that the proposed GSPSO-ANN with WOA attained maximum detection accuracy with low false alarm rates and processing time and also maintained consistency in the performance for diversified traffic.
Implementing Integrity Assurance System for Big Data
Authors: Alyami Fawaz , Almutairi Saad 
Published: June 2021

Abstract
With the rapid advancement of big data technology and statistical data analysis solutions, the computing of big data and its services has become the subject of research and popular applications. There are many problems related to data quality that lead to making wrong decisions in institutions and companies. Current research rarely discusses how to validate data effectively to ensure its quality Integrity is data validity. It is a task that is not an easy task that is usually undertaken in national statistical organizations and institutions. There is an urgent need to produce a general framework to verify the integrity of big data. This methodology has been devoted to proposing a model that works on data integrity, especially big data, and how to address the validation process. The data also includes the validity of the data fields and the validity of measuring the data and assessing the compatibility with the data cycle chain. The speed of the processing process and the accuracy of the verification process for the integrity of big data are considered. Based on using the latest technologies and programming languages, the research was based on the programming language in Python and real test data.
Mitigation of Nonlinear Phase Noise in Single-channel Coherent 16-QAM Systems Employing Logistic Regression
Authors: de Paula Romulo , Marim Lucas , Penchel Rafael , Bustamante Yessica Rumaldo , Abbade Marcelo Francisco Luis , Perez Grethell Georgina , Aldaya Ivan 
Published: June 2021

Abstract
We propose and analyze a classier based on logistic regression (LR) to mitigate the impact of nonlinear phase noise (NPN) caused by Kerr induced self-phase-modulation in digital coherent systems with single-channel unrepeated links. Simulation results reveal that the proposed approach reduces the bit error ratio (BER) in a 100-km-long 16 quadrature amplitude modulation (16-QAM) system operating at 56-Gbps. Thus, the BER is reduced from 6.88·10 -4 when using maximum likelihood to 4.27·10 -4 after applying the LR-based classification, representing an increase of 0.36 dB in the effective Q-factor. This performance enhancement is achieved with only 624 operations per symbol, which can be easily parallelized into 16 lines of 39 operations.
HP-SFC Algorithm for MmWave Massive MIMO Hybrid Precoding Systems
Authors: Du Ruiyan , Liu Huajing , Liu Fulai , Li Dan 
Published: June 2021

Abstract
This paper presents an alternating iteration hybrid precoding algorithm for the switch network-based dynamic fully-connected (SFC) structure, namely HP-SFC algorithm. Firstly, based on the sparsity of switch network, the optimization problem of the analog switch precoding matrix is transformed into a binary dictionary updating problem, which avoids to deal with the binary constraint straightly. Then, the optimization problem of the analog phase shifter (PS) precoding matrix is modeled as a quadratic unimodular programming problem by the vectorization of the analog PS precoding matrix. So that the analog PS precoding matrix can be readily optimized. Finally, the analog switch precoding matrix, the analog PS precoding matrix and the digital precoding matrix are alternately optimized via the block coordinate descent, the generalized power method and the least square, respectively. Theoretical analysis and simulation results show that the proposed algorithm can provide brilliantly hybrid precoding performence campared with the previous works, for example: 1) it reduces the hybrid precoding matrix residual, so that its spectral efficiency is close to the full digital optimal precoding; 2) it provids at least 15\% energy efficiency improvement comparing with related algorithms.
Association Between the Morphological Features of Necrotizing Pancreatitis on Endoscopic Ultrasound and the Outcome of Endoscopic Transmural Step-Up Approach
Authors: Ding Ling , Li Xue-Yang , Tan Ji-Xue , Xia Liang , He Wen-Hua , Xiong Hui-Fang , Zhu Yong , Liu Pi , Shu Xu , Liu Zhi-Jian , Zhu Yin , Chen You-Xiang , Lu Nong-Hua 
Published: June 2021

Abstract
BackgroundTo investigate the association between features of necrotic collections on endoscopic ultrasound (EUS) and outcomes of the endoscopic transmural step-up approach.MethodsThis was a retrospective cohort study analyzing patients with necrotic collections underwent endoscopic transmural step-up approach. According to the amount of solid necrotic debris quantified as a percentage of the total collection size, participants were divided into three groups: <30% (group 1), 30%-50% (group 2), and >50% (group 3).Results Out of a total of 134 patients, the mean necrotic collection size was 8.5 (7.0, 10.0) cm, with <30% (group 1), 30%-50% (group 2) and >50% (group 3) solid debris present in 52, 59, and 23 patients, respectively. Patients with more solid necrotic debris needed more sessions of necrosectomy (group 1, 1 (0, 1) time vs. group 2, 1 (1, 2) time vs. group 3, 2 (2, 3) times, P<0.001), more likely experienced stent occlusion (group 1, 9.6% vs. group 2, 16.9% vs. group 3, 34.8%; P<0.05), and had a longer hospital stay (group 1, 25.5 (17.3, 44.0) days vs. group 2, 28.0 (19.0, 41.0) days vs. group 3, 40.0 (30.0, 58.0) days; P<0.05). Procalcitonin (OR, 6.14; 95% CI, 1.40-26.94; P<0.05) and any organ failure (OR, 11.51; 95% CI, 2.42-54.78; P<0.01) were independently associated with clinical failure of the endoscopic transmural step-up approach.ConclusionsMore solid debris on EUS predicted more sessions of necrosectomy, stent occlusion, and hospital stay. Procalcitonin and organ failure are risk factors for clinical failure of the endoscopic transmural step-up approach.
Design of Photonic Crystal Fiber with Large Mode Area for Flat-top Mode Generation
Authors: Zhang Zuxing , Lu Guangwei , Liu Shuang , Lv Dongyu , Chen Mengmeng 
Published: June 2021

Abstract
We report a large mode area photonic crystal fiber with a top-hat mode field. The optical fiber has a multi-layer square structure with air holes and doped layer. A flat and top-hat-like mode intensity profile is provided through the reasonable design of the doped layer. The modal characteristics including effective mode area, dispersion and confinement loss are investigated. The proposed fiber with a top-hat mode generation may have potential applications in laser drilling, laser cleaning, imaging, spectroscopy, and so on.