bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parental Corporal Punishment and Nonsuicidal Self-Injury Among Chinese Adolescents: The Mediating Role of Depressive Symptoms and the Moderating Role of the GABRA2 Genotype
Authors: Chen Yanrong , Yu Chengfu , Wang Zhenhai , Tao Zhiyuan , Zhang Wei 
Published: September 2022

Abstract
Nonsuicidal self-injury (NSSI) is a global health concern. Parental corporal punishment is shown to be related to NSSI, with unclear underlying mechanisms. The current study tested a potential mediator (i.e., depressive symptoms) and moderator (i.e., the GABRA2 rs279858 genotype) in the relationship between parental corporal punishment and NSSI. Chinese adolescents (N = 673; 53% girls; aged 11–14 years) completed self-report measures and provided saliva samples for DNA genotyping. A moderated mediation model was tested. The results showed that parental corporal punishment was positively associated with NSSI, and depressive symptoms partially mediated this association. The linkage between depressive symptoms and NSSI was weaker among rs279858 GA or GG genotype carriers than AA genotype carriers. Implications of this study are discussed.
Complete RNA replication cycles in a Hadean microcompartment
Authors: Salditt Annalena , Karr Leonie , Salibi Elia , Vay Kristian Le , Braun Dieter , Mutschler Hannes 
Published: September 2022

Abstract
The replication of nucleic acids is a prerequisite for the survival and evolution of living systems. Before the advent of protein synthesis, genetic information was most likely stored on and replicated by RNA. However, experimental systems for sustained RNA-dependent RNA-replication are difficult to realise due to the high thermodynamic stability of duplex products and the low chemical stability of catalytic polynucleotides. Using a derivative of a group I intron as a model for an RNA replicase, we show that heated air-water interfaces exposed to a plausible CO2-rich atmosphere drive complete cycles of plus and minus strand replication. The reaction is driven by autonomous oscillations in salt concentrations and pH that transiently destabilise RNA duplexes. Newly synthesised strands can dissociate from their templates and adopt catalytically active conformations. Our results suggest that an abundant Hadean microenvironment may have promoted the replication of RNAs while maintaining the activity of the synthesised ribozymes.
Upgrading Traditional Poly(1,3-dioxolane) Electrolytes via Integrated Design of Ultra-Stable Network for Solid-State Lithium Metal Batteries
Authors: Li Hao , Du YunFei , Zhao Long , Xiong Chenyu , Zhao Erqing , Li Changgong , Hao Shumeng , Zhou Weidong 
Published: September 2022

AbstractPoly(1,3-dioxolane) (PDOL)-based solid electrolytes are expected to be exploited in solid-state lithium metal batteries (SLMBs) due to their high ionic conductivity, good lithium metal compatibility, and facile preparation method ofin-situpolymerization in cells. However, inferior structural stability and low Li-ion transference number (tLi+) still impede PDOL from authentic commercialization. Herein we propose a novel ultrathin crosslinked PDOL-based electrolyte (PTADOL), which is preparedviaa multifunctional trimethylolpropane tris[3-(2-methyl-1-aziridine) propionate] additive. Thein-situformed PTADOL not only affords an integrated network configuration with stabilized electrode/electrolyte interface, but also achieves improved oxidative stability, excellent thermal stability, and superior flame retardancy. Moreover, PTADOL has rational O-Li+coordination for fast Li+transport, which enhances both ionic conductivity andtLi+. Based on the ultra-stable PTADOL, the high voltage LiNi0.8Mn0.1Co0.1O2||Li batteries exhibit excellent electrochemical performance without electrolyte degradation. This work provides a practical approach to designing a highly stable solid polymer electrolyte for high-performance SLMBs.
Assessment of the earthquake-triggered landslide susceptibility using machine learning and grey wolf optimizer (GWO): A case study of Jiuzhaigou
Authors: Wei Liangshuai , Gou Jingsong , Wu Lei , Yang Xin , Liu Rui 
Published: September 2022

Abstract
Landslide susceptibility assessment plays a critical role in disaster management and post-disaster planning. Machine learning-based approaches have recently attracted a lot of attention. However, the parameters tuning in this category of methods has not been accurately determined and is even considered as a weak point. The main objective of this study is to develop two machine learning-based landslide susceptibility models that optimized using a metaheuristic optimization algorithm, the grey wolf optimizer (GWO), for assessing the probability of landslide occurrence without artificial tuning. The selected machine learning algorithm were random forests (RF) and support vector machines (SVM). We apply the optimized models to Jiuzhaigou County on the eastern margin of Qinghai-Tibet Plateau. A total of 270 earthquake-triggered landslides were identified by remote sensing interpretation and filed surveys. Sixteen predisposing factors involving geology, human activity, and hydrology were extracted from the available materials. Then thirteen factors suitable for the study area were selected using multicollinearity diagnosis methods. Two meta-optimization models, GWO-RF, GWO-SVM, were con-structed after GWO's automated search for model parameters. Finally, the Receiver Operating Characteristic (ROC) curve and related statistics, including Accuracy, Sensitivity, and Specificity, were chosen to evaluate and compare the performance of the optimized landslide susceptibility models. Both models were constructed with ROCs higher than 0.95 on the training dataset and validation dataset as well as high accuracy. GWO-RF obtained the best both of accuracy and AUC values of 0.9198 and 0.972 on the validation dataset, respectively. Furthermore, we performed a weighting analysis of the factors and speculated on the relationship between the raw data distribution and accuracy. The results of this study show that the construction of the landslide susceptibility model optimized using a metaheuristic optimization algorithm is a feasible approach.
Does the Hinterland Distance Affect the Competitiveness of European ports? Based on the Nighttime Light Data
Authors: Li Kaiyuan , Liu Wei , Yang Yanbin , Wang Liehui , Sun Ling 
Published: September 2022

Abstract
Over 80% of global trade by volume and more than 70% of its value are carried by the seaborne worldwide. As the critical hub between sea and land, ports handle a huge amount of cargo. In the past, hinterland could be split by the distance of port-hinterland. With the development of containerization and multi-model transport, the reduction in transport rates makes the distance between port and hinterland not as important as before. Therefore, we want to know if the competitiveness of every port is not in causality with distance. Nighttime light (NTL) is applied to observe the hinterlands of the European continent. Container throughput (TP) and Liner shipping connectivity (LSC) are selected as characteristics reflecting port competitiveness. The result of the Ganger causality test means that there is no causality between NTL and TP or LSC for most ports. For the contribution, NTL is tried to discover the port-hinterland relationships in space, and the whole European continent is used to test the causality between NTL and TP or LSC. Because parts of the ports are still causality, the results of this paper will help establish the recognition of port supply and demand based on port-hinterland relationships.
Changes of salivary metabolomics in patients with chronic erosive gastritis
Authors: Liu Shaowei , Zhang Shixiong , Chen Haoyu , Zhou Pingping , Yang Tianxiao , Lv Jingjing , Li Huixia , Wang Yangang 
Published: September 2022

Abstract
Introduction Chronic erosive gastritis (CEG) is closely related to gastric cancer and needs early diagnosis and intervention. The invasiveness and discomfort of electronic gastroscope make it difficult to apply to the extensive screening of CEG. Therefore, a simple and noninvasive screening method is needed in clinic.
Objectives The aim of this study is to screen potential biomarkers that can identify diseases from saliva samples of CEG patients using metabolomics.
Methods Saliva samples from 64 CEG patients and 30 healthy volunteers were collected, and metabolomic analysis was performed using uhplc-q-tof/ms in the positive and negative ion mode. Statistical analysis was performed using univariate (student's t-test) and multivariate (orthogonal partial least squares discriminant analysis). Receiver operating characteristic (ROC) analysis was used to determine potential predictors in saliva of CEG patients.
Results By comparing saliva samples from CEG patients and healthy volunteers, we found 45 differentially expressed metabolites, of which 37 were up-regulated and 8 were down-regulated. These differential metabolites are related to amino acid, lipid, phenylalanine metabolism, protein digestion and absorption, and mTOR signaling pathway. In the ROC analysis, the AUC values of 7 metabolites were greater than 0.8, among which the AUC values of 1,2-dioleoyl-sn-glycoro-3-phosphodylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phospholine (SOPC) were greater than 0.9.
Conclusions We identified salivary metabolites related to CEG and screened out 45 potential biomarkers, 1,2-dioleoyl-sn-glycoro-3-phosphorylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phosphorine (SOPC), which may have clinical application value.
Growth and Study of Gamma Glycine Mixed With Oxalate, Nitrate and Maleic Acid With Its Structure and Transmission by Sest Method
Authors: Priyadharshini V.J. , BEGUM A.MEHARAJ , SHALINI P.BABY , MEENAKSHI G 
Published: September 2022

Abstract
Comparative study of three different types of γ- glycine compounds doped with oxalate, lithium nitrate and maleic acid were doped in slow evaporation method. Gamma glycine was doped with different ratio and crystals were synthesized. Powder X-Ray diffraction was calculated and recorded as GLN and BGM belong to hexagonal group were BGO changes to monoclinic system. The UV-VIS system shows the lower cutoff transmission in which all the crystals are soft material calculated by the Micro hardness method. These crystals pose good agreements for the Non linear property of second harmonic generation.
Clinical Response and Safety of Bevacizumab-awwb treatment in Patients with Metastatic Colorectal Cancer: A case series and review of the literature
Authors: Hung Chun-Yen , Chen Chou-Pin , Chen Chou-Chen 
Published: September 2022

Abstract

Background:Bevacizumab-awwb (MVASI®) is the first and the only bevacizumab biosimilar made available in Taiwan. However, its extrapolation of indication and the lack of available real-world clinical data has raised some concern. This article is aimed at presenting our real-world experience in the use of MVASI for treating patients with metastatic Colorectal Cancer (mCRC) for purposes of evaluating tumor response and safety.Materials & Methods:Adult patients from a single institution initiating MVASI use following an mCRC diagnosis during the period of May 2020 to August 2021 were included in the study. Each patient's demographics and tumor characteristics were collated retrospectively. We described treatment patterns and evaluated treatment efficacy stratified by initiating MVASI as either first line or later line therapy.Results:A total of 20 patients were identified, with 2 being excluded due to incomplete therapy and lost follow-up. The mean age of the subjects was 58.7 years. Most patients had a left-sided colorectal tumor (83.3%) and underwent a primary tumor resection (94%) prior to systemic antineoplastic therapy. Fourteen out of 18 patients initiated MVASI use as first line therapy, where the Disease-control Rate (DCR) was 85.7%. Alternatively, four out of 18 patients in later line therapy all experienced disease progression, with progression-free survival (PFS) ranging 4 to 10 months. Five patients had prior bevacizumab reference product utilization but switched to MVASI mostly due to economic issues, with three of these patients (60%) showing progression disease (PFS ranging 3-10 months). Only two patients (11%) encountered adverse events during MVASI therapy.Conclusion:Both the efficacy and safety of MVASI in the mCRC population are deemed comparable with the bevacizumab reference product, exclusively at first line therapy. The strategy of switching between the biosimilar and reference product is currently controversial, and therefore further studies are still required.
Prognostic value of adjuvant external beam radiotherapy for papillary thyroid cancer based on competitive risk model and propensity score matching
Authors: Zhou Jiani , Wu Chaoqun , Fan Shihong , Zhao Miaohui 
Published: September 2022

Abstract
Background: This study aimed to assess the impact of adjuvant external beam radiotherapy (EBRT) on the survival of patients with locally invasive papillary thyroid carcinoma.
Methods: This retrospective study used data from the Surveillance, Epidemiology, and End Results database for the diagnosis of papillary thyroid carcinoma, using Cox models to screen for adverse prognostic factors. The prognostic value of using adjuvant external beam radiotherapy in papillary thyroid carcinoma was further evaluated, based on the competing risk model and propensity score matching.
Results: Based on the competitive risk model, the sub-distribution hazard ratio (SHR) of the multivariate analysis of patients receiving EBRT alone versus those receiving radioiodine-131 alone was 9.301 (95% CI, 5.99–14.44) (P<0.001), and the SHR of the univariate analysis was 1.97 (95% CI, 1.03–3.78) (P=0.042). In the propensity score-matched Kaplan–Meier analysis, patients who received EBRT still had worse OS (6-year OS, 59.62% vs 74.6%; P<0.001) and DSS (6-year DSS, 66.6% vs. 78.2%; P<0.001) than patients who did not receive EBRT. Patients who received EBRT had a higher cumulative risk of death due to thyroid cancer after PSM (P<0.001).
Conclusion: Adjuvant EBRT was not associated with survival benefit in the initial management of locally invasive papillary thyroid cancer.
Spatio-temporal distribution of Colorectal Cancer incidence in Cordoba, Argentina
Authors: Canale Marcela G , Muñoz Sonia E , Diaz Maria del Pilar 
Published: September 2022

Abstract
Purpose: To analyse the spatio-temporal distribution of CRC incidence in Cordoba and its association with the level of urbanisation in Argentina (2004-2014).
Methods: An ecological time-series study using data from an 11years (2004-2014) was conducted. Age-standardised incidence rates (ASIR) (standard national and world population) by sex were calculated for the province and 26 counties for CRC in Cordoba using the provincial tumour registry database. Joinpoint regression models were adjusted to provincial ASIRs. Counties’ ASIRs were mapped in quintiles. The counties were grouped into three strata according to urbanisation: High (n1=6, >107,000 inhabitants); Intermediate (n2=13, 33,000-107,000 inhabitants); and Low (n3=7, <33,000 inhabitants). Spatio-temporal correlation analysis of counties’ rates was fulfilled using the multilevel modelling strategy.
Results: ASIRs of CRC in Cordoba province were 30.9 ±1.5 and 24.3 ±1.5 cases/100,000 for men and women, respectively. During 2004-2014, ASIRs tended to decrease (annual per cent change: -0.6; CI95% -1.8, 0.6). Maps reflected different geospatial patterns by sex. CRC incidence in males was higher than in females in all strata (high urbanisation, IRR: 1.66; intermediate, IRR: 1.59; and low, IRR: 1.70). There was a significant downward temporary variation in the most populous counties (3% per year).
Conclusions: CRC presents a non-random spatial pattern across the territory with a decreasing temporal variation in the most populous counties. Differential incidence and temporospatial tendency burden in Cordoba involve sex and urbanisation. Men continue to be the population at greatest risk; this pattern is more noticeable in less urban settings.
Comparing the Diagnostic Performance of QuantiFERON-TB Gold Plus with QFT-GIT, T-SPOT.TB and TST: A Systematic Review and Meta-analysis
Authors: Zhang Yu , Zhou Guozhong , Shi Wei , Shi Weili , Hu Meijun , Kong Defu , Long Rong , He Jian , Chen Nan 
Published: September 2022

Abstract
Background:
QuantiFERON-TB Gold Plus (QFT-Plus) is an important test that has emerged in recent years for detecting TB infection. We conducted a review to compare the sensitivity, specificity and positive rate of QFT-Plus with that of QuantiFERON-TB Gold In-Tube (QFT-GIT), T-cell spot of tuberculosis assay (T-SPOT.TB) and Tuberculin test (TST).
Methods:
PubMed and Embase were searched, without language restrictions, from 1 January 2015 to 31 March 2022 using “Mycobacterium tuberculosis Infections” and “QuantiFERON-TB-Plus” etc. We estimated the sensitivity from studies of patients with active tuberculosis, specificity from studies of populations with very low risk of TB exposure, and positive rate from studies of high-risk populations. The methodological quality of the eligible studies was assessed, and a random-effects model meta-analysis was used to determine the risk difference (RD). We assessed the pooled rate by using a random-effects model. PROSPERO number was CRD 42021267432.
Results:
Of 3996 studies, 83 were eligible for full-text screening and 41 were included in the meta-analysis. In patients with active TB, the sensitivity of QFT-Plus was compared to that of QFT-GIT and T-SPOT.TB, respectively, and no statistically significant differences were found. In populations with a very low risk of TB exposure, the sensitivity of QFT-Plus was compared with that of QFT-GTI and T-SPOT.TB, respectively, and no statistically significant differences were found. Two studies were eligible to compare the specificity of the QFT-Plus test with that of the TST test, and the pooled RD was 0.12 (95% CI 0.02 to 0.22). In high-risk populations, 17 studies were eligible to compare the positive rate of the QFT-Plus test with that of the QFT-GIT test, and the pooled RD was 0.02 (95% CI -0.02 to 0.03). The positive rate of QFT-Plus was compared with that of T-SPOT.TB and TST groups, and no statistically significant differences were found.
Conclusions:
The diagnostic performance of QFT-Plus was similar to that of QFT-GIT and T-SPOT.TB, but was slightly more specific than TST.
A Cross-Sectional Study to Assess the Prevalent Myths and Misconceptions Among the Caregivers of Patients With Cancer
Authors: Kaul Pallvi , Tiwari Ajeet Ramamani , Choudhary Deepti , Walia Rhythm , Garg Pankaj Kumar 
Published: September 2022

Abstract
INTRODUCTION
Certain popular ideas about how cancer starts and spreads—though scientifically wrong—can seem to make sense, especially when those ideas are rooted in old theories. The present study was conducted to assess the prevalence of myths and misconceptions among the caregivers of patients with cancer.
MATERIAL AND METHOD
A hospital-based survey in a tertiary teaching hospital was conducted where caregivers (aged 18–70 years) were administered questionaries containing 10 close-ended questions. The study was conducted in small batches of 20-25 participants per week. The questionnaire was analysed, and a health care worker discussed the questionnaire with the participants and clarified their myths.
RESULTS
A total of four hundred participants were included in the study. The median age of the participants was 45 years (IQR 35-59). The majority of the participants were males (85%, n=340). Table 1 displays the common myths and misconceptions prevalent in the caregivers of patients with cancer.
CONCLUSION
The present study highlights the widespread cancer myths and misconceptions among the caregivers of patients with cancer. Therefore, the need of the hour is to eliminate them to avoid any unnecessary treatment delays and strengthen the emotional and social support system for patients with cancer.
Determination of Urban Drainage Distribution Based on Analysis of Catchment Area Characteristics
Authors: Imaaduddiin Muhammad Hafiizh , Khoiri Mohamad , Saud Ismail , Machsus Machsus , Aini Anissa Nur 
Published: September 2022

Abstract
Increasing population in a city is directly proportional to the increasing demand for land for development. This is inversely proportional to the water catchment area which is decreasing due to land conversion. The water that was supposed to come through the ground turned into a surface stream and overloaded the urban drainage channels. This study analyzes the travel time value (Tc) of the build-up area which will be compared with the peak time value (Tp) in the persiil drainage flow. Results of these Tc and Tp calculation values are then combined to create a linear equation of the influence of watershed characteristics with the large change of land across the city of Surabaya. The linear equations formula analyzed in each district indicate different values. This is due to the influence of differences in the slope of topography and watershed area on each district in Surabaya. The channel scattered throughout the city has different and separate drainage systems from one another depending on the location of its district. This then becomes a consideration to form a formulation of development requirements regarding the relationship of the area of the build-up area with the peak time and volume of the reservoir based on the characteristics of each in order to minimize the flood.
MTL4MHC2: MHC class II binding prediction using multi-task learning from small training data
Authors: Ikkyu Kazuhiro , Nikaido Itoshi 
Published: September 2022

Abstract
Background
Neoepitopes are cancer-specific antigens and significant therapeutic cancer vaccine candidates. Tumor neoepitopes induce an immune response to eliminate cancer cells. This immune activation depends on the binding affinity between antigen peptide and the major histocompatibility complex (MHC), which is an immune receptor. The epitope-MHC binding assay is a technologically difficult, time-consuming, and expensive experiment because it involves HLA protein expression and epitope peptide synthesis. Therefore, prediction methods of these binding affinities have been developed using computational prediction approaches. In particular, because of the wide variety of MHC class II subtypes, there is a need to improve the performance of MHC class II prediction. Here, we propose a novel deep learning model that can predict epitope-MHC class II binding from limited training data.
Results
MTL4MHC2 consists of multi-task Bi-LSTM models, an antigen peptide learning model and an MHC peptide learning model. Each multi-task model shares the MHC class I and II learning parameters. MTL4MHC2 achieves an AUC-ROC score of 82.2%, outperforming state-of-the-art models while maintaining generalization performance.
Conclusions
We have demonstrated the effectiveness of multi-task learning for improving prediction performance from limited training data. MTL4MHC2 can be applied to develop novel cancer vaccines.