bluuebunny/crossref_metadata_2025_split huggingface dataset:
LPI-EnEDT: An Ensemble Framework with Extra Tree and Decision Tree Classifiers for Imbalanced lncRNA-protein Interaction Data Classification
Authors: Peng Lihong , Yuan RuYa , Shen Ling , Gao Pengfei , Zhou Liqian 
Published: May 2021

Abstract
Background: Long noncoding RNAs (lncRNAs) have dense linkages with various biological processes. Identifying interacting lncRNA-protein pairs contributes to understand the functions and mechanisms of lncRNAs. Wet experiments are costly and time-consuming. Most computational methods failed to observe the imbalanced characterize of lncRNA-protein interaction (LPI) data. More importantly, they were measured based on a unique dataset, which produced the prediction bias. Results: In this study, we develop an Ensemble framework (LPI-EnEDT) with Extra tree and Decision Tree classifiers to implement imbalanced LPI data classification. First, five LPI datasets are arranged. Second, lncRNAs and proteins are separately characterized based on Pyfeat and BioTriangle and concatenated as a vector to represent each lncRNA-protein pairs. Finally, an ensemble framework with Extra tree and decision tree classifiers is developed to classify unlabeled lncRNA-protein pairs. The comparative experiments demonstrate that LPI-EnEDT outperforms four classical LPI prediction methods (LPI-BLS, LPI-CatBoost, LPI-SKF, and PLIPCOM) under cross validations on lncRNAs, proteins, and LPIs. The average AUC values on the five datasets are 0.8480, 0,7078, and 0.9066 under the three cross validations, respectively. The average AUPRs are 0.8175, 0.7265, and 0.8882, respectively. Case analyses suggest that there are underlying associations between HOTTIP and Q9Y6M1, NRON and Q15717. Conclusions: Fusing diverse biological features of lncRNAs and proteins and exploiting an ensemble learning model with Extra tree and decision tree classifiers, this work focus on imbalanced LPI data classification as well as interaction information inference for a new lncRNA (or protein).
Pathogenic Genetic Variants From Highly Connected Cancer Susceptibility Genes Confer the Loss of Structural Stability
Authors: Reza Mahjerin Nasrin , Ferdous Nadim , Emon Md. Tabassum Hossain , Islam Md. Shariful , Mohiuddin A. K.M. , Hossain Mohammad Uzzal 
Published: May 2021

Abstract
Genetic polymorphisms in DNA damage repair and tumor suppressor genes have been associated with increasing the risk of several types of cancer. Analyses of putative functional single nucleotide polymorphisms (SNP) in such genes can greatly improve human health by guiding choice of therapeutics. In this study, we selected nine genes responsible for various cancer types for gene enrichment analysis and found that BRCA1, ATM, and TP53 were more enriched in connectivity. Therefore, we used different computational algorithms to classify the nonsynonymous SNPs which are deleterious to the structure and/or function of these three proteins. Our study demonstrated that V1687G and V1736G variants of BRCA1, I2865T and V2906A variants of ATM, V216G and L194H variants of TP53 are major mutations with pathogenic impact and are likely to have a greater impact on destabilizing the proteins. To stabilize the high-risk SNPs, we performed mutation site-specific molecular docking analysis and validated using molecular dynamics (MD) simulation and molecular mechanics/Poisson Boltzmann surface area (MM/PBSA) studies. Additionally, SNPs of untranslated regions of these genes affecting miRNA binding were characterized. Hence, this study will assist in developing precision medicines for cancer types related to these polymorphisms.
Compilation Method of CNC Lathe Cutting Force Spectrum Based on Kernel Density Estimation of G-SCE
Authors: Wang Shengxu , He Jialong , Li Guofa , Hao Qingbo , Huang Hao 
Published: May 2021

Abstract
The cutting force spectrum of the CNC lathe is the basic data for the reliability design, reliability test and reliability evaluation of the CNC lathe and its components. Due to the complex and changeable turning conditions and different cutting processes, the cutting load presents multi-peak characteristic. In order to compile the CNC lathe cutting force spectrum accurately, a compilation method based on kernel density estimation (KDE) of goodness-smoothness comprehensive evaluation (G-SCE) is proposed. According to the measured dynamic cutting force, the KDE is used to establish the dynamic cutting force distribution of the CNC lathe. For the rule of thumb method (ROT) based on the mean integrated square error and the least squares cross-validation method (LCV) based on the integrated square error does not take into account the influence of different bandwidths on the goodness estimation and the smoothness of the estimated curve. The estimation accuracy test method based on multiple goodness-of-fit tests, and the smoothness test method based on the envelope curve are proposed. The entropy method is used to comprehensively calculate the estimated goodness index and the smoothness index to determine the optimal bandwidth. The case analysis shows that the method proposed can solve the problem of too large estimation error of parameter distribution for multimodal distribution. At the same time, it can better comprehensively evaluate the KDE under different bandwidths. In short, a new method of optimal bandwidth selection is proposed in the original method.
Global, Regional, and National Burden of Kidney, Bladder, and Prostate Cancers and Their Attributable Risk Factors, 1990-2019
Authors: Zi Hao , Leng Xie-Yuan , Xu Xiao-Feng , Huang Qiao , Weng Hong , He Shao-Hua , Zhu Cong , Li Lu-Yao , Gu Jia-Min , Li Xu-Hui , Ming Dao-Jing , Li Xiao-Dong , Yuan Shuai , Wang Xing-Huan , He Da-Lin , Zeng Xian-Tao 
Published: May 2021

Abstract
Background: To investigate the burden and attributable risk factors for three genitourinary cancers in 204 countries and territories during 30 years.Methods: We extracted data of kidney, bladder, and prostate cancers from the Global Burden of Disease 2019 database, including incidence, mortality, disability-adjusted life-years (DALYs), and the attributable risk factors from 1990 to 2019. Estimated annual percentage changes (EAPC) were calculated to assess the changes in age-standardized incidence rate, age-standardized mortality rate (ASMR), and age-standardized DALYs rate (ASDR). The associations between cancers burden and socio-demographic index (SDI) were also analyzed.Results: Compared with 1990, the global incident cases of kidney, bladder, and prostate cancers have increased by 154.78%, 123.34%, and 169.11% in 2019. The ASMR and ASDR of bladder cancer (EAPC = -0.68 for ASMR, EAPC = -0.83 for ASDR) and prostate cancer (EAPC = -0.75 for ASMR, EAPC = -0.71 for ASDR) showed a downward trend, but kidney cancer increased (EAPC = 0.35 for ASMR, EAPC = 0.12 for ASDR). Of all cancers, incidence, mortality, and DALYs were higher in the high-level SDI regions and countries. The burden of bladder cancer and prostate cancer was mainly distributed among older men, while the burden of kidney cancer increases among younger men. Smoking related mortality and DALYs decreased, but high body-mass index and high fasting plasma glucose related mortality and DALYs increased among kidney, bladder, and prostate cancers between 1990 and 2019.Conclusions: Kidney, bladder, and prostate cancers remain the major global public health challenge until 2019. We suggest the 204 countries and territories to take positive cancer prevention and intervention strategies, especially the urologists and urological related academic associations.
Comparing two data collection methods to track vital events in maternal and child health via community health workers in rural Nepal
Authors: Choudhury Nandini , Tiwari Aparna , Wu Wan-Ju , Bhandari Ved , Bhatta Laxman , Bogati Bhawana , Citrin David , Halliday Scott , Khadka Sonu , Marasini Nutan , Pandey Sachit , Ballard Madeleine , Rayamazi Hari Jung , Sapkota Sabitri , Schwarz Ryan , Sullivan Lisa , Maru Duncan , Thapa Aradhana , Maru Sheela 
Published: May 2021

Abstract
Background: Timely tracking of health outcomes is difficult in low- and middle-income countries without comprehensive vital registration systems. Community health workers (CHWs) are increasingly collecting vital events data while routinely delivering care in communities in low-resource settings. It is necessary, however, to assess whether routine programmatic data collected by CHWs are sufficiently reliable for timely monitoring and evaluation of health interventions. To study this, we assessed the consistency of vital events data recorded by CHWs using two methodologies – routine data collected while delivering an integrated maternal and child health intervention, and data from a birth history census approach at the same site in rural Nepal. Methods: We linked individual records from routine programmatic data from June 2017 to May 2018 with those from census data, both collected by CHWs at the same site using a mobile platform. We categorized each vital event over a one-year period as “recorded by both methods,” “census alone,” or “programmatic alone.” We further assessed whether vital events data recorded by both methods were classified consistently. Results: We identified a total of 713 unique births (from maternal records only) and 746 births (collectively from maternal and child records) from June 2017 to May 2018 in one or both data collection methods. About three-fourths (n=526) of total births (from maternal records only), and (n=572) of total births (collectively from maternal and child records) were identified by both methods. Among births from maternal records identified by both methods, there was high consistency in birth location classification. Programmatic data captured more births (from mothers and children combined) than census data (723 versus 595). Most infants were consistently classified as “living” in both methods, while infant deaths and stillbirths were largely classified inconsistently or recorded by only one method. Programmatic data identified five infant deaths and five stillbirths not recorded in census data. Conclusions: Our findings suggest that data collected by CHWs from routinely tracking pregnancies, births, and deaths over time are promising for timely program monitoring and evaluation despite some limitations, and may be more effective than cross-sectional census surveys asking women to recall these events.
Synthesis, Characterization and Thermal Behavior of Poly(Vinyl) Chloride Reinforced by Folic Acid-modified Titanium Dioxide
Authors: LU Yiheng , Lu Yi-heng , Chen Zong-li , Lu Yu-wei 
Published: May 2021

Abstract
To improve the environmental friendliness of polyvinyl chloride (PVC) and inhibit the agglomeration of nanotitanium dioxide, a PVC composite film reinforced by folic acid-modified titanium dioxide was synthesized and characterized using X-ray powder diffraction, thermogravimetric analysis, X-ray photoelectron spectroscopy and thermogravimetric analysis coupled with Fourier transform infrared spectroscopy. The average grain size of the folic acid-modified titanium dioxide particles decreased by 1.3 nm, indicating that the cohesiveness of nanoparticles decreased. The induction period of hydrogen chloride release for PVC pyrolysis at 195°C was much higher than that of the control sample. After reinforcement with modified TiO2, the lowest temperature for 1.0% thermal decomposition of PVC was 230.0°C, which is higher than the temperatures of the control sample. During the first decomposition stage, the peak temperature was 309.5°C, and the degradation progressed to the high-temperature zone. The decomposition rate at this peak temperature is 39.6% lower than that of the control sample. Energy spectrum analysis shows that after adding modified TiO2, the stability of the PVC improved due to an increased number of surface oxygen atoms and a lower number of surface chlorine atoms, as well as the formation of intermolecular hydrogen bonds. Infrared spectroscopic analysis shows that after modification, the vibration peak intensities of ester groups 1264, 1736 and 1106 cm-1 from the plasticizer decreased significantly. The enhanced PVC film suppressed the release of CO2, and the strongest vibration peak at 1264 cm-1 was 17.2% lower than that of the blank sample, indicating that the decomposition of plasticizer was inhibited by additives.
Phylogenetic Analysis and Assessment of the Pathogenic Potential of Avian Influenza Virus H9N2 in Wild Waterfowl, Wild Birds, and Lagoon Water in Tunisia
Authors: LARBI IMEN , Ghedira Kais , Butcher Gary D , Rego Natalia , Arbi Marwa , Naya Hugo , Tougorti Halima , Behi Imen El , Nsiri Jihene , Lachheb Jihene , Ghram Abdeljelil 
Published: May 2021

Abstract
H9N2 avian influenza viruses (AIV) have been isolated from various species of wild birds and domestic poultry worldwide. They have been described to not only infect mammals directly, but also provide gene segments to generate novel but lethal human reassortants. H9N2 AIV has circulated in Tunisian commercial poultry since 2009 and poses a serious threat to the poultry industry. In the present study, we investigate five H9N2 viruses isolated from greater flamingoes (GF) (Phoenicopterus roseus), gray-headed gull (GHG) (Chroicocephalus crirrocephalus), black-winged stilt (BWS) (Himantopus himantopus), and lagoon water (EN) from Maamoura Lagoon, Korba Lagoon, and Kuriat Island in Tunisia from 2014–2018. Full-length genome sequences of AIV H9N2.Viral sequence analyses showed several amino acid changes related to viral adaptation to mammals. Phylogenetic analyses demonstrated that the five isolates belonged to the same sublineage G1and were close to AIV H9N2 poultry strains isolated in North Africa, West Africa, and the Middle East. At the hemagglutinin (HA) cleavage site, viruses (GF/120/15), (BSW/119/18), (GHG/216/18), and (EN/117/18) had the 335RSSR/GLF341 motif. However, (GF/121/14) undergo punctual substitutions at the HA1/HA2genesand acquires the dibasic pattern 335KSSR/GLF341.All Tunisian viruses carried in their hemagglutinins the human-like marker 226L, which is important for avian-to-human viral transmission. The neuraminidase (NA) of the five viruses showed S372A and R403W substitutions previously detected in H9N2 from Asia and the Middle East and in H3N2 and H2N2 strains reported in human pandemics. Many mutations associated with mammalian infections have been detected in internal proteins. Chicken experiments (IPIV) show that the five Tunisian viruses displayed low pathogenicity, causing mild symptoms in chickens. The virus could not kill mice, and merely replicated when administrated to mice. To our knowledge, this is the first study to address the evolution, pathogenicity, and transmission of the H9N2 viruses isolated from wild birds, waterfowl, and lagoon water in North Africa. Our results indicate that we should pay greater attention to H9N2 AIV surveillance in wilds birds. These results provide new insights into the measures that need to be undertaken regarding the role of wild birds in AIV introduction and persistence in Tunisia.
Impact of the preoperative prognostic nutritional index as a predictor for postoperative complications after resection of locally recurrent rectal cancer
Authors: Paku Masakatsu , Uemura Mamoru , Kitakaze Masatoshi , Fujino Shiki , Ogino Takayuki , Miyoshi Norikatsu , Takahashi Hidekazu , Yamamoto Hirofumi , Mizushima Tsunekazu , Doki Yuichiro , Eguchi Hidetoshi 
Published: May 2021

Abstract
Background
Local recurrence is common after curative resections for rectal cancer. Surgical intervention is among the best treatment choices. However, achieving a negative resection margin often requires extensive pelvic organ resections; thus, the postoperative complication rate is quite high. Recent studies have reported that the inflammatory index could predict postoperative complications. This study aimed to validate the correlation between clinical factors, including inflammatory markers, and severe complications after surgery for local recurrent rectal cancer.
Methods
This retrospective study included 99 patients that underwent radical resections for local recurrences of rectal cancer. Postoperative complications were graded according to the Clavien-Dindo classification. Grades ≥ 3 were defined as severe complications. Risk factors for severe complications were identified with univariate and multivariate logistic regression models and assessed with receiver-operating characteristic curves.
Results
Severe postoperative complications occurred in 38 patients (38.4%). Analyses of correlations between inflammatory markers and severe postoperative complications revealed that the strongest correlation was found between the prognostic nutrition index and severe postoperative complications. The receiver-operating characteristic analysis showed that the optimal prognostic nutrition index cut-off value was 42.2 (sensitivity: 0.790, specificity: 0.508). In univariate and multivariate analyses, a prognostic nutrition index ≤ 44.2 (Odds ratio: 3.007, 95%CI:1.171–8.255, p = 0.02) and a blood loss ≥ 2850 mL (Odds ratio: 2.545, 95%CI: 1.044–6.367, p = 0.04) were associated with a significantly higher incidence of severe postoperative complications.
Conclusions
We found that a low preoperative prognostic nutrition index and excessive intraoperative blood loss were risk factors for severe complications after surgery for local recurrent rectal cancer.
Aggregate Excess Demand on Wall Street
Authors: Han Qingyuan , Keen Steve 
Published: May 2021

Abstract
The rational investor behavior and news triggered price change assumed by the Efficient Market Hypothesis (EMH) could not explain most of asset price variances, suggesting the need for an alternative theory. The Behavioral Finance Theory advocates that economic judgments and decisions in markets are often irrational because of systematic and predictable psychological bias. However, due to the lack of measurable investment behaviors, proponents of the efficient market hypothesis (EMH) argue that irrational behavior could not be reliably identified and predicted. Here we show that the price-takers behavior gauged by the normalized excess demand (NED) can be measured and the results explain most of the variances of SP500 daily returns over eight years of available data, the remaining variances are due to price-makers behavior, an influence abstracted out by the Walrasian general equilibrium theory. The interactions between behaviors of price-takers and price-makers drive market price fluctuations. For short-term prediction, we demonstrate that detected market makers' inventory positions often lead to intraday and daily market reversals. For long-term forecasting, feedback analyses of NED and SP500 data reveal signals of looming plunges and recovery processes in 2000, 2008, and 2020 market crises.
Selected ‘Starter Kit’ energy system modelling data for Cote d'Ivoire (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger , Cronin Jen 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Cote d'Ivoire, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for Eswatini (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger , Cronin Jen 
Published: May 2021

Abstract
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Eswatini, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Influence of freezing on changes in the structure of black currant fruits
Authors: Osokina Nina , Kostetska Kateryna , Herasymchuk Olena , Tkachenko Hennadii , Podpriatov Hryhorii , Pusik Ludmila , Falendysh Nataliy , Bobel Inna , Belinska Kristina 
Published: May 2021

Object of research: frozen fruits of black currant varieties Bilorus Sweet, Minai Shmyrev.
Investigated problem: substantiation of the influence of the method, the duration of freezing on changes in the structure of black currant fruits of different degrees of maturity and pomological varieties.
The main scientific results: the advantages of fast freezing of black currant fruits in a fast freezing chamber with forced air circulation at a speed of 1.5–2.5 m/s at a temperature of -30 …- 32 °C compared to slow freezing in " Calex " freezers were established at a temperature of -20 …- 22 °C. Rapid freezing forces cooling, freezing and freezing due to a decrease in the temperature of initiation of ice formation, an increase in the rate of heat extraction and an increase in the temperature of freezing.
The area of practical use of the research results: food industry enterprises specializing in the freezing of plant products.
An innovative technological product: the technology of freezing black currant fruits, which allows to extend the period of consumption of high-quality fruits with a preserved structure.
Scope of application of an innovative technological product: nutrition of the population.