bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gastric Carcinoma with low ROR alpha, low E- Cadherin and High LAPTM4B Immunohistochemical Profile; is associated with poor prognosis in Egyptian patients
Authors: Mashad Shereen Nagib El , Kandil Mona Abd El-Halem , Talab Taysseer Abd El-Hamid , Naby Abd El Naby Saied Abd El , Sultan Mervat Mahmoud , Sohaib Ahmed , Hemida Aiat Shaban 
Published: October 2022

Abstract
Background
Gastric carcinoma (GC) is the tenth most prevalent cancer in both sexes in Egypt. Many pathways have been investigated regarding pathogenesis of GC, including epithelial-mesenchymal transition (EMT) pathway. In view of multiplicity of carcinogenic pathways, poor survival and chemotherapy resistance detected in GC patients, more analysis of these pathways is required for better molecular selection of patients, prediction of prognosis and developing new therapeutic targets. Down-regulation of E-Cadherin is an important EMT stage. RORα is a tumor suppressor gene, expressed in normal epithelial tissues and reduced in a variety of human cancers. Knocking down of RORα; increase cell proliferation, EMT, migration, and invasion. LAPTM4B is a protooncogene and it has been suggested to be strictly associated with EMT induction. Therefore, this work aims to investigate the role of RORα, LAPTM4B and E-Cadherin and its relationship to prognosis of GC.
Methods
This is a retrospective study where the standard immunohistochemical technique was done to assess the expression of RORα, LAPTM4B and E-Cadherin in 167 cases of chronic gastritis (control group) and 73 primary gastric carcinomas (51 of them have available adjacent non tumor tissue).
Results
Low RORα and high LAPTM4B expression in GC cases were associated with unfavorable prognostic factors such as positive lymph nodes, and high tumor budding. E-Cadherin Heterogeneous staining was associated with poor prognostic pathological criteria, such as diffuse type GC and high tumor budding. In GC, there was significant co parallel correlation between RORα and E-Cadherin expression while LAPTM4B showed inverse correlation with E-Cadherin expression. Low RORα, high LAPTM4B, and negative or heterogeneous E-Cadherin were the most common immunohistochemical profile in GC cases. Low RORα expression showed poor prognostic impact on overall patient survival.
Conclusions
Low RORα H-score and increased expression of LAPTM4B were significantly associated with unfavorable prognostic parameters of GC which may indicate their crucial role in tumor aggressiveness. The predominance of low RORα, high LAPTM4B and heterogeneous or negative E-Cadherin immunohistochemical profile in GC cases with unfavorable pathological parameters suggested that this profile may predict tumor behavior and this profile could be linked to EMT molecular subtype of GC
Engineering-Oriented Ground-Motion Model for Israel
Authors: Kamai Ronnie , Yagoda-Biran Gony 
Published: October 2022

Abstract
This study presents a response-spectral Ground Motion Model (GMM) for Israel, called KYB22 herein and derived with practical applications in mind. This model is based on the former work by Maiti et al. (2021), which derived a suite of nine Fourier amplitude spectra GMMs, based on both empirical data and calibrated point-source simulations. In this study, a weighted average of the Maiti et al. (2021) FAS models is computed and a synthetic database is created. Next, this database is converted to the Response spectral domain using the random vibration theory and a new GMM is regressed, constraining the magnitude and distance scaling on the synthetic response-spectral data. Site scaling is represented by VS30 and is a combination of empirical scaling with other considerations which are discussed in the text. Nonlinear site response is constrained from a global model, as are finite-fault effects, such as hanging-wall, mechanism and top of rupture – which cannot be constrained from the data because it does not contain enough large magnitude data. State-wide hazard is then computed using KYB22, comparing results with other GMM combinations. It is found that the hazard results obtained by using KYB22 as a backbone model are comparable to results obtained using other popular combinations of GMMs in the logic tree. Therefore, we recommend using the new GMM as one of the branches within the ground-motion logic tree when conducting seismic hazard calculations for Israel.
The appropriacy of the analytical models for calculating the shear capacity of cross-laminated timber (CLT) under out-of-plane bending
Authors: Huang Zirui , Jiang Lingyun , Ni Chun , Chen Zhongfan 
Published: October 2022

Abstract
Rolling shear, an inherent property of cross-laminated timber (CLT) due to the weak shear strength of cross layers, is always the determinant of load-bearing capacity for short-span CLT members subjected to out-of-plane bending. Many analytical models were developed to calculate the shear capacity of CLT members. Because of the difficulty to precisely model the complicated shear failure mechanisms, however, no model was universally accepted. This paper aims to study the appropriacy of the commonly used analytical models, namely, composite beam theory, shear analogy method, Gamma method, and simple beam theory, by tests and analytical calculations. A composite beam theory-based simplified method was proposed. Three-point loading tests for the short-span CLT panels with 3 and 5 layers were conducted, and the shear capacities of the test specimens were calculated by using the above-mentioned analytical methods. Shear strength and modulus of cross layers of the test specimens, which were used as the inputs for calculating the shear capacities, were tested by modified planar shear method. By comparing the calculation results obtained from different analytical models and the test results as well, it can be concluded that: (1) composite beam theory, shear analogy method, and the proposed simplified method give almost the same calculation results, therefore, the proposed simplified method can be used as the replacement for the other models; (2) Gamma method is more appropriate for calculating the shear capacity in case the input shear strength is determined by planar shear test; (3) the simple beam theory that is used in CSA O86 provides significantly lower shear capacity predictions than those obtained by the other methods.
Improvement of financial autonomy of the rural municipalities in Lithuania using the spatial modelling method
Authors: Skauronė Laima , Miceikienė Astrida , Žalkauskas Remigijus 
Published: October 2022

Abstract
In the scientific literature, the financial autonomy (FA) of rural municipalities has been referred to as a complex and dynamic phenomenon. Its manifestation has been claimed to depend on a variety of externalities and internalities of the local government. Rural municipalities occupy a significant share of the geographical space of the European Union and are very diverse. Hence, the manifestation of autonomy of the local government and possibilities for improvement of the FA in the rural areas are specific for each country and are characterised by their diversity and complexity. The issue of improvement of the FA has become of particularly topical interest in the context of regional and rural development in recent years. It has become increasingly relevant in autonomous and sustainable decision-making and implementation by the local governments as well as in the search for sustainable financial resources in spatial terms. Research aim: to develop the recommendations on improvement of the FA of the rural municipalities in Lithuania in the context of the key endogenous factors identified. The article presents the empirical research findings obtained as a result of an assessment of the FA of 36 rural municipalities in Lithuania under the multi-criteria decision analysis method TOPSIS. The restraining and driving endogenous factors of the FA of the rural municipalities were analysed by applying the Moran’s I statistic method. Global Moran’s I statistic and Cluster and Outlier Analysis (Anselin Local Moran's I) were used to check for global and local patterns in the distribution of the FA of Lithuanian municipalities and related factors.
The research findings have demonstrated low or medium low the FA of rural municipalities in Lithuania. The result has been determined by the rapidly deteriorating demographic situation, restraining social factors, and contrasting economic environment observed in rural areas of Lithuania during the recent 11 years. The spatial autocorrelation models enabled the identification of the rural municipality clusters characterized by insufficient economic development and concentrated in the western and southern regions of the country. The spatial modelling-based assessment of the endogenous factors and using the tree-based regression model technique has shown the possibilities for improvement of the FA of rural municipalities of Lithuania.
JEL Classification H72, R11, R15.
Assessment of gold potential in stream sediments around the Neoproterozoic Boyo area, Betare-Oya Gold District, Eastern Cameroon
Authors: Jean-Lavenir Ndema Mbongué , Ngomba Mbua Elvis , Junior Emmanuel Eseya Mengu 
Published: October 2022

Abstract
Stream sediment geochemical survey was carried out in Boyo area, samples collected and analyzed for major, trace and rare earth elements using ICP-MS method. Minerals present in concentrates include gold, zircon, muscovite. The grain size of gold varies from 0.125 to 1 mm, their shape ranges from sub-angular to angular. Gold grains are of two categories: the first category includes those that are distal to the source, the second category comprises those that are proximal to the source. Fe2O3, Al2O3 and SO3 are dominant major elements in stream sediment, sediments are depleted in Nb and Mo. Gold (8440 to > 10000 ppb) has the highest concentration, the Au/Ag (av.: 14.16) ratio exhibits unusual value greater than the value of the upper lithosphere. Sediments ranged into low Ag (0.062 to 8.47 ppm) and high Ag (20 to 51.3 ppm) content, and all of this suggests that the Boyo gold grains result from two sources or derived by two geological processes; the sulphidation was the dominant mechanism of gold ore deposition. Ag-Au-Bi-Cu constitutes the mineralization factor and the chalcophile elements Ag, Bi and Cu serve as potential pathfinders for Au in the Boyo area. The presence of these elements in the same factor suggests that gold is associated with sulphide minerals. Ag-Hg-W association is related to the hydrothermal alteration of wall rock. The association Ag-Au-Bi-Cu indicates a typical primary mesothermal sulphide ± gold mineralization paragenesis. The Boyo mature sediments derived from intermediate igneous sources that were deposited in a passive margin environment.
LncRNA-NONMMUT100923.1 as a ceRNA regulates mouse embryonic palatal shelf adhesion via medial epithelial cell desmosome junction during palatogenesis
Authors: Zhang Ming , Zhou Jieyan , Ji Yingwen , Shu Shenyou , Zhang Mingjun , Liang Yan 
Published: October 2022

Abstract
Background: Long non-coding RNA (lncRNA) is involved in cleft palate (CP) formation, but its regulatory mechanism remains unknown. We explored the molecular mechanisms ofLncRNA-NONMMUT100923.1 as a competing endogenous RNA (ceRNA) during CP formation.
Methods: RNA-sequencing was performed for lncRNA, microRNA (miRNA), and mRNA expression profiling of mouse embryonic palatal shelf (MEPS) tissue samples in the normal group vs. model group (all-trans-retinoic acid-induced group). Differentially expressed RNAs and potential ceRNAs were screened, and their functions were predicted through bioinformatics analysis. Reverse transcription-PCR was conducted to verify the expression levels of LncRNA-NONMMUT100923.1, Cdsn, and miR-200a-3p in both groups. Fluorescence in situhybridization was used to determine the subcellular location of LncRNA-NONMMUT100923.1 and miR-200a-3p in MEPS epithelial cells. A luciferase reporter assay was performed to investigate the interaction relationships among miR-200a-3p, LncRNA-NONMMUT100923.1, and Cdsn in HEK293T cells. Gain-and loss-of-function experiments (cell transfection, western blotting, cell counting kit-8, cell colony formation, and EdU staining) were conducted to evaluate the biological effects of LncRNA-NONMMUT100923.1 on MEPS adhesion and MEPS epithelial cell desmosome junction.
Results: ALncRNA-NONMMUT100923.1-miR-200a-3p-Cdsn ceRNA regulatory network was constructed through bioinformatics analysis based on RNA-sequencing results. The results of reverse transcription-PCR were consistent with those of RNA-sequencing. LncRNA-NONMMUT100923.1 and miR-200a-3p were localized mainly in the cytoplasm and LncRNA-NONMMUT100923.1 negatively regulated the expression of miR-200a-3p, followed by the regulation of its direct target, Cdsn. Gain- and loss-of-function experiments demonstrated that the overexpression of LncRNA-NONMMUT100923.1 inhibited medial edge epithelium (MEE) cell proliferation, migration, and epithelial-mesenchymal transition by preventing the disintegration of the desmosome junction in MEE cells in vitro.
Conclusions: We revealed a potential ceRNA regulatory network in which LncRNA-NONMMUT100923.1 regulates Cdsn expression by competitively binding to endogenous miR-200a-3p during palatogenesis, which inhibits MEPS adhesion by preventing the disintegration of the desmosome junction in MEE cells.
Pub-G: Unravelling the traits of n-Power, Illusory Superiority, and Schadenfreude through Gaming
Authors: Dar Suhail Ahmad , Munawer Ishrat , Bisati Azhar Imtiyaz , Rashid Aadil 
Published: October 2022

Abstract
Objectives: This study aimed to reveal the traits of n-power, illusory superiority, and Schadenfreude through Pub-G and also check the relationship between these traits. Simultaneously, the predictive role of Time spent on Pub-G on these traits was explored.
Method: A total of 154 Pub-G users (males 79.2%, 25 females 15.7%) participated in this study and were asked to fill out the questionnaire through an online mode via emails and WhatsApp. The questionnaire included demographic information and traits-related statements of Pub-G users. The statements were framed for the dimensions- “traits of n-power”, “illusory superiority”, and “Schadenfreude”.
Results: The results exhibited a significantly positive correlation in all the three combinations i.e, a good correlation between n-Power and Illusory Superiority, a Moderate Correlation between Illusory Superiority and Schadenfreude, and a low correlation between n-Power and Schadenfreude. We also found that time spent on PUB-G for more than 4hrs significantly predicted Illusory Superiority, n-Power, and Schadenfreude but the overall variance explained in Schadenfreude by Time intervals was found to be insignificant. However, time intervals below 4hrs showed mixed results on these three variables.
Conclusion: The current study is centered on the role of varied time intervals in playing Pub -G on different Socio-Cognitive traits (Illusory Superiority, n-Power, and Schadenfreude) and also how these traits are correlated to each other. We found a substantial role of time in revealing the traits but it’s highly suggested to look for other determinants like Locus of Control, Time Paradox, and many other social and cognitive factors.
Open Text News Benchmark: A Novel ChineseNews Benchmark for Text Classification
Authors: Wang Guishen , Guo Xiaoxuan , Wu Junlin , Zhou Xiaotang 
Published: October 2022

Abstract
With the help of deep learning technology, related topics of natural language processing such as summarization, text classification, and sentiment analysis, are researched deeper and deeper. However, related benchmarks especially for Chinese language are in short. For this reason, we propose a novel Chinese news text benchmark called Open Text News benchmark (OTN) enhancing related research in natural language processing. OTNSTANDARD contains 90,000 Chinese news from April 2000 to June 2021 in nine categories, including finance, estate, education, technology, military, automobiles, sports, games, and entertainment. We employed several classical machine learning classifiers and several deep learning models to test our OTN benchmark to see how well it performed at text classification.
Association between Remnant Cholesterol and Verbal Learning and Memory Function in the Elderly in the US
Authors: Xie Ying-Yi , Zhao Liang , Gao Li-Jian , Xu Rui-Xia , Gao Ying , Dou Ke-Fei , Guo Yuan-Lin , He Yong-Ming 
Published: October 2022

Abstract
Background

The relationship between remnant cholesterol (RC) and atherosclerotic cardiovascular risk has been given increasing attention in recent years. However, its association with verbal learning and memory performance has not been reported.

Methods

Data were extracted from the National Health and Nutrition Examination Survey (NHANES) 2011–2014 database. Participants aged ≥ 60 years with available fasting lipid data were included. Verbal learning and memory performance were evaluated using the Consortium to Establish a Registry for Alzheimer’s Disease Word List Memory Task (CERAD-WL) subtest. The CERAD total score was calculated as the mean of three immediate recalls and a delayed recall. RC was calculated as total cholesterol (TC) minus the sum of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). Multivariate ordinal logistic regression was performed to evaluate the association between RC, as well as its derived marker, the TC/RC ratio, and age-stratified quartiles of the CERAD total score.

Results

A total of 1377 participants were analysed. On a continuous scale, a 1 mmol/L increase in RC and a 1 unit increase in the TC/RC ratio were associated with multivariable adjusted odds ratios (95% CI) of 0.74 (0.58–0.94) and 1.45 (1.13–1.87), respectively, for having a CERAD total score in a higher quartile. On a categorical scale, higher RC quartiles were associated with having a CERAD total score in a lower quartile; in contrast, the higher TC/RC quartile was associated with having a CERAD total score in a higher quartile, with all P for trend < 0.05.

Conclusions

The study suggests that lower RC levels and a higher TC/RC ratio are associated with better verbal learning and memory function, which indicates that lowering RC levels could be beneficial for preventing cognitive impairment in the elderly. Further research is needed to validate the causal roles of RC and the TC/RC ratio in cognition.
COVID-19 vaccination and SARS-CoV-2 infection in early pregnancy and the risk of major congenital anomalies: a national population-based cohort study
Authors: Wood Rachael , Calvert Clara , Carruthers Jade , Denny Cheryl , Donaghy Jack , Hopcoft Lisa , Hopkins Leanne , Goulding Anna , Lindsay Laura , McLaughlin Terry , Moore Emily , Taylor John , Loane Maria , Dolk Helen , Morris Joan , Auyeung Bonnie , Bhaskaran Krishnan , Gibbons Cheryl , Katikireddi Srinivasa , O’Leary Maureen , McAllister David , Shi Ting , Simpson Colin , Robertson Chris , Sheikh Aziz , Stock Sarah 
Published: October 2022

Abstract
Evidence on associations between COVID-19 vaccination or SARS-CoV-2 infection and the risk of congenital anomalies is limited. We conducted a national, population-based, matched cohort study to estimate the association between COVID-19 vaccination and, separately, SARS-CoV-2 infection between six weeks pre-conception and 19 weeks and six days gestation and the risk of [1] any congenital anomaly and; [2] non-genetic anomalies. Mothers vaccinated in this pregnancy exposure period mostly received an mRNA vaccine (73.7% Pfizer-BioNTech BNT162b2 and 7.9% Moderna mRNA-1273). Of the 6,731 babies whose mothers were vaccinated in the pregnancy exposure period, 153 had any congenital anomaly and 120 had a non-genetic anomaly. Primary analyses found no association between vaccination and any anomaly (adjusted Odds Ratio [aOR] = 1.01, 95% Confidence Interval [CI] = 0.83–1.24) or non-genetic anomalies (aOR = 1.00, 95% CI = 0.81–1.22). Primary analyses also found no association between SARS-CoV-2 infection and any anomaly (aOR = 1.02, 95% CI = 0.66–1.60) or non-genetic anomalies (aOR = 0.94, 95% CI = 0.57–1.54). Findings were robust to sensitivity analyses. These data provide reassurance on the safety of vaccination, in particular mRNA vaccines, just before or in early pregnancy.
Feature Selection of Microarray Data Using Multidimensional Graph Neural Network and Supernode Hierarchical Clustering
Authors: Xie Weidong , Zhang Shoujia , Wang Linjie , Yu Kun , Li Wei 
Published: October 2022

Abstract
Cancer is one of the leading causes of death for patients, and microarray technology offers new ways to diagnose and treat cancer. However, limited by the difficulty of sample acquisition, its genetic dimension is much higher than the sample dimension. Such data are also called high-dimensional small sample data or microarray data. Feature selection can effectively select effective features from the high-dimensional feature space of microarray data as biomarkers for further analysis. However, there are many interdependencies among genes, such as regulatory networks and pathways, and it is difficult for existing methods to fully utilize this information to guide the feature selection and ranking process and build efficient classification models. Therefore, this paper proposes a feature selection algorithm and classification model based on graph neural networks to solve the above problems. In the proposed method, a multidimensional graph is used to represent the complex interactions between genes, link prediction techniques are used to enrich the existing graph structure relationships, and a multidimensional node evaluator and a supernode discovery algorithm based on spectral clustering are used to achieve the initial filter of nodes. Subsequently, we used a hierarchical graph pooling technique based on downsampling to further screen nodes to achieve feature selection and build classification models. The results on nine publicly available microarray datasets show that the proposed method outperforms both classical feature selection methods and advanced feature selection methods in different evaluation metrics, demonstrating the effectiveness and advancement of the proposed method.
A filter sequential adaptive cubic regularisation algorithm for nonlinear constrained optimization
Authors: Pei Yonggang , Song Shaofang , Zhu Detong 
Published: October 2022

Abstract
In this paper, we propose a filter sequential adaptive regularisation algorithm using cubics (ARC) for solving nonlinear equality constrained optimization. Similar to sequential quadratic programming methods, an ARC subproblem with linearized constraints is considered to obtain a trial step in each iteration. Composite step methods and reduced Hessian methods are employed to tackle the linearized constraints. As a result, a trial step is decomposed into the sum of a normal step and a tangential step which is computed by a standard ARC subproblem. Then, the new iteration is determined by filter methods and ARC framework. The global convergence of the algorithm is proved under some reasonable assumptions. Preliminary numerical experiments are reported.
Improvement of Technology for the Development of Dredgers for Underwater Work and Mining.
Authors: Sarsenbayev Vadim , Savinkin Vitaly 
Published: October 2022

Abstract
For the current period of time, the existing technologies for underwater operations and mining have a number of shortcomings. Existing dredgers have limitations in the amount of pumped liquids, depth of development, conditions where these devices can be used. Many types of dredgers can be used for mining, cleaning the world's oceans and small ponds from accumulated debris. The working bodies of the dredgers themselves also have limitations in work, which, due to the use of the wrong materials, cannot work with hard soils or have a short service life.