bluuebunny/crossref_metadata_2025_split huggingface dataset:
Micropore structure and water driving characteristics of tight sandstone reservoirs in Ordos Basin
Authors: Zhou Shuxun , Zhou Yan , Shi Jian , Zhu Yujie , Xiao Wulin , Zhang Rui 
Published: October 2021

AbstractIn order to explore the influence of the micropore structure of the tight sandstone reservoir in the water driving characteristics, the studies on the Chang 6 tight sandstone reservoir of the middle-western part of Ordos Basin are carried out by various experiments such as cast-thin section analysis, scanning electron microscopy, high-pressure mercury injection and micro-water driving. The result shows that the permeability contribution curves of samples shift to the left as the sample permeability decreases, indicating that the greater the permeability, the greater the proportion of large pores. The permeability is mostly dominated by pores with the radius larger than R50–R60. There are big differences in the water driving type, oil-driven efficiency and residual oil distribution characteristics between reservoirs of different types. The type II reservoir is the major target of subsequent exploration and development, where water driving types consist of mesh and finger, leaving the residual oil mainly locked by water or isolated as oil drops. The size and distribution feature of pores are the key factors dominating the oil-driven efficiency.
The changing microRNA landscape by color and cloudiness: a cautionary tale for nipple aspirate fluid biomarker analysis
Authors: Patuleia Susana I. S. , van der Wall Elsken , van Gils Carla H. , Bakker Marije F. , Jager Agnes , Voorhorst-Ogink Marleen M. , van Diest Paul J. , Moelans Cathy B. 
Published: October 2021

Abstract
Purpose
Investigation of nipple aspirate fluid (NAF)-based microRNAs (miRNAs) as a potential screening tool for women at increased risk of developing breast cancer is the scope of our research. While aiming to identify discriminating NAF-miRNAs between women with different mammographic densities, we were confronted with an unexpected confounder: NAF sample appearance. Here we report and alert for the impact of NAF color and cloudiness on miRNA assessment.

Methods
Seven classes of NAF colors coupled with cloudiness appearance were established. Using 173 NAF samples from 154 healthy women (19 samples were bilaterally collected), the expression of 14 target and 2 candidate endogenous control (EC) miRNAs was investigated using Taqman Advanced miRNA assays to identify significant differential expression patterns between color-cloudiness classes. Inter- and intra-individual variation of miRNA expression was analyzed using the coefficient of variation (CV).

Results
We found that between the seven NAF classes, fold change miRNA expression differences ranged between 2.4 and 19.6 depending on the interrogated miRNA. Clear NAF samples exhibited higher miRNA expression levels compared to cloudy NAF samples with fold change differences ranging between 1.1 and 6.2. Inter-individual and intra-individual miRNA expression was fairly stable (CV < 15 %), but nevertheless impacted by NAF sample appearance. Within NAF classes, inter-individual variation was largest for green samples (CV 6-15 %) and smallest for bloody samples (CV 2-6 %).

Conclusions
Our data indicate that NAF color and cloudiness influence miRNA expression and should, therefore, be systematically registered using an objective color classification system. Given that sample appearance is an inherent feature of NAF, these variables should be statistically controlled for in multivariate data analyses. This cautionary note and recommendations could be of value beyond the field of NAF-miRNAs, given that variability in sample color and cloudiness is likewise observed in liquid biopsies such as urine, cerebrospinal fluid and sputum, and could thereby influence the levels of miRNAs and other biomarkers.
Fetal Congenital Mesoblastic Nephroma: Case Report
Authors: Patil Prajakta Aloorkar , Vemarapu Gayatri 
Published: October 2021

AbstractCongenital mesoblastic nephroma (CMN) is a rare renal tumor, but the commonest tumor of early infancy. It can be detected prenatally as a renal mass and is associated with prematurity, polyhydramnios, and neonatal hypertension. We report a case of congenital mesoblastic nephroma which presented as a large unilateral solid renal mass detected at 33 weeks of gestation associated with oligohydramnios and small for gestational age (SGA) fetus. Ultrasound features were a large hypoechoic mass arising from the upper pole of the Left kidney measuring 52 ⅹ 43 ⅹ 32 mm. Inside the mass there were incomplete septae and a few cystic areas, likely hemorrhagic areas, with minimal peripheral vascularity. The mass was surrounded by a hyperechoic capsule. The left adrenal gland could be imaged separately. The baby was delivered by a lower segment cesarean section (LSCS) at 38 weeks of gestation. After birth, the baby presented with a mass per abdomen with no other symptoms and no hypertension. CT scan and ultrasound guided biopsy confirmed the finding of the cellular variant of congenital mesoblastic nephroma. Left radical nephrectomy with adrenal gland conservation was performed on day 8 of life. Postoperative adjuvant chemotherapy was administered. On follow-up, the baby is asymptomatic with no relapse or metastasis. Fetal CMN and Wilms tumor have overlapping ultrasound features and are difficult to differentiate on prenatal ultrasound. Prenatal detection of fetal renal tumors and timely neonatal management improve perinatal outcome.
Effect of corporate social responsibility on consumer retention for FMCG industries: a deep learning analysis of professional students of Odisha
Authors: Das Santanu Kumar 
Published: October 2021

AbstractCorporate social responsibility (CSR) represents a form of international private business self-regulation that contributes to the social aims of a charitable, activist, or philanthropic nature through helping ethically based practices. The benefits from CSR like generating better public image, enhance in community support, enhance in market share, enhance in the satisfaction of the consumer, enhance in the exports, offering better quality services and products, and enhance in the productivity is not considered as the perception level consumers. This paper analyzes the effect of CSR activities on the fast moving consumer goods (FMCG) industries on the basis of the retention of the consumers of FMCG products. Initially, a questionnaire is prepared that consists of five categories. Each category is composed of more than ten questions. The information related to the questionnaire is obtained in the view of the professional students from Odisha. The customers are requested to fill the exact information as much as possible. Next, a higher-order statistical analysis is considered for realizing the behaviour of the categories. Additionally, the usage of deep learning called Optimized RNN (O-RNN) is used for predicting the customer retention in maintaining the CSR on FMCG industries. The improvement in the traditional RNN is done by optimizing the hidden neurons by the improved form of Sea Lion Optimization Algorithm (slno) called Modified slno (M-slno) with the intention of minimizing the error among the actual and the predicted outcome, hence it is called as O-RNN. The retention of the customers regarding the effect of CSR activities on FMCG companies and the benefits from CSR is investigated using the O-RNN prediction analysis against several traditional deep learning models as well as different statistical measures.
IFND: a benchmark dataset for fake news detection
Authors: Sharma Dilip Kumar , Garg Sonal 
Published: October 2021

AbstractSpotting fake news is a critical problem nowadays. Social media are responsible for propagating fake news. Fake news propagated over digital platforms generates confusion as well as induce biased perspectives in people. Detection of misinformation over the digital platform is essential to mitigate its adverse impact. Many approaches have been implemented in recent years. Despite the productive work, fake news identification poses many challenges due to the lack of a comprehensive publicly available benchmark dataset. There is no large-scale dataset that consists of Indian news only. So, this paper presents IFND (Indian fake news dataset) dataset. The dataset consists of both text and images. The majority of the content in the dataset is about events from the year 2013 to the year 2021. Dataset content is scrapped using the Parsehub tool. To increase the size of the fake news in the dataset, an intelligent augmentation algorithm is used. An intelligent augmentation algorithm generates meaningful fake news statements. The latent Dirichlet allocation (LDA) technique is employed for topic modelling to assign the categories to news statements. Various machine learning and deep-learning classifiers are implemented on text and image modality to observe the proposed IFND dataset's performance. A multi-modal approach is also proposed, which considers both textual and visual features for fake news detection. The proposed IFND dataset achieved satisfactory results. This study affirms that the accessibility of such a huge dataset can actuate research in this laborious exploration issue and lead to better prediction models.
Direct seeded rice in sequence with zero-tillage wheat in north-western India: addressing system-based sustainability issues
Authors: Yadav Dharam Bir , Yadav Ashok , Vats Anil Kumar , Gill Gurjeet , Malik Ram K. 
Published: October 2021

AbstractResource conserving and eco-friendly interventions through improved crop establishment are the need of time to produce more with less resources, and mitigating climatic vulnerabilities and protecting environmental quality in the rice–wheat cropping system (RWCS) of India. In this context, seven years (2010–2017) field experimentation at Karnal, Haryana, India revealed that the weed infestation was more intensified and diversified in direct seeded rice (DSR) than puddled transplanted rice (PTR), and even eliminating puddling in rice-induced more infestation ofPhalaris minorin succeeding wheat crop. Residue retention in zero-till (ZT) DSR and rotating conventional till (CT) DSR with PTR reduced weed pressure compared to continuous DSR. Root knot and plant parasitic nematodes were less in DSR than PTR but reverse was true for saprozoic nematodes in DSR and ZT situations. CTDSR, ZTDSR (with or without residues), and ZT/CT machine-transplanted rice (MTR) produced grain yields at par (P = 0.05) with PTR. The grain yield of ZT wheat (5.03–6.90 t ha−1) in sequence with CT/ZT rice establishment (DSR/MTR) was 0.3–0.6 t ha−1higher than what it was attained after puddled rice systems. Net returns from DSR/MTR-based cropping systems were higher than PTR, with 22–31% saving of labor. Irrigation water productivity was also higher under DSR (27.5–29.9 kg ha-cm−1) than PTR (23.7 kg ha-cm−1), with 17.5–22.8% reduction in irrigation input. There was also improvement in soil health under ZTDSR/MTR (higher OC, N, P and K, and lower bulk density) compared to PTR. Overall, the resource conservation and soil health improvement through these planting methods signaled toward system stability over trade-offs in RWCS.
Modulation of Placental Breast Cancer Resistance Protein by HDAC1 in Mice: Implications for Optimization of Pharmacotherapy During Pregnancy
Authors: Wang Chuan , Ma Dan , Hua Yimin , Duan Hongyu 
Published: October 2021

AbstractBreast cancer resistance protein (BCRP/ABCG2) is a critical drug efflux transporters by limiting drugs’ transplacental transfer rates. More investigations on the regulation of placental BCRP offer great promise for enabling pronounced progress in individualized and safe pharmacotherapy during pregnancy. Histone deacetylases (HDACs) play an important role in epigenetic regulation of placental genes. It was reported recently by us that HDAC1 was involved in placental BCRP regulation in vitro. The aim of this study was to further explore the effect of HDAC1 on placental BCRP expression and functionality in animals. Randomly assigned C57BL pregnant dams received intraperitoneal injections of a negative control siRNA or Hdac1 siRNA from embryonic day 7.5 (E7.5) to E15.5, respectively. At E16.5, glyburide (GLB), a probe for evaluating placental BCRP efflux functionality, was injected via the tail vein. Animals were sacrificed through cervical dislocation at various times (5–180 min) after drug administration. The maternal blood, placentas, and fetal-units were collected. GLB concentrations were determined by a validated high-performance liquid chromatography/mass spectrometry (HPLC-MS) assay. Real-time quantitative PCR (qRT-PCR), Western blot, and immunohistochemical (IHC) analysis were employed to identify mRNA/protein levels and localization of gene expressions, respectively. It was noted that Hdac1 inhibition significantly decreased placental Bcrp expression, with markedly increases of GLB concentrations and area under the concentration-time curve (AUC) in fetal-units. Particularly, the ratios of fetal-unit/maternal plasma GLB concentrations were also significantly elevated following Hdac1 repression. Taken together, these findings suggested that HDAC1 was involved in positive regulation of placental BCRP expression and functionality in vivo.
Vertebral to Basilar Thrombus Migration Post Intravenous Thrombolysis
Authors: Banerjee Ankur , Marzoughi Sina , Ohara Tomoyuki , Horn MacKenzie , Zerna Charlotte , Menon Bijoy K. , Demchuk Andrew M. 
Published: October 2021

ABSTRACT:Recombinant tissue plasminogen activator improves outcomes in acute ischemic stroke. Alteplase may result in thrombus migration (TM) distally to a critical arterial supply that can worsen perfusion to eloquent brain tissue. Alteplase-related stroke recanalization and clot migration in vertebral artery (VA) occlusion whereby the clot migrates to the basilar artery (BA) may be harmful. We identified seven subjects with isolated symptomatic vertebral occlusion. Two cases suffered early neurologic deterioration due to TM from VA to BA following alteplase. Precautionary transfer to thrombectomy centers may be warranted in alteplase-treated symptomatic VA occlusions in case of migration to basilar occlusion.
The Value of Bayesian Methods for Accurate and Efficient Neuropsychological Assessment
Authors: Huygelier Hanne , Gillebert Céline R. , Moors Pieter 
Published: October 2021

AbstractObjective:Clinical neuropsychology has been slow in adopting novelties in psychometrics, statistics, and technology. Researchers have indicated that the stationary nature of clinical neuropsychology endangers its evidence-based character. In addition to a technological crisis, there may be a statistical crisis affecting clinical neuropsychology. That is, the frequentist null hypothesis significance testing framework remains the dominant approach in clinical practice, despite a recent surge in critique on this framework. While the Bayesian framework has been put forward as a viable alternative in psychology in general, the possibilities it offers to clinical neuropsychology have not received much attention.Method:In the current position paper, we discuss and reflect on the value of Bayesian methods for the advancement of evidence-based clinical neuropsychology.Results:We aim to familiarize clinical neuropsychologists and neuropsychological researchers to Bayesian methods of inference and provide a clear rationale for why these methods are valuable for clinical neuropsychology.Conclusion:We argue that Bayesian methods allow for a more intuitive answer to our diagnostic questions and form a more solid foundation for sequential and adaptive diagnostic testing, representing uncertainty about patients’ observed test scores and cognitive modeling of test results.
Amazon Hydrology From Space: Scientific Advances and Future Challenges
Authors: Fassoni‐Andrade Alice César , Fleischmann Ayan Santos , Papa Fabrice , Paiva Rodrigo Cauduro Dias de , Wongchuig Sly , Melack John M. , Moreira Adriana Aparecida , Paris Adrien , Ruhoff Anderson , Barbosa Claudio , Maciel Daniel Andrade , Novo Evlyn , Durand Fabien , Frappart Frédéric , Aires Filipe , Abrahão Gabriel Medeiros , Ferreira‐Ferreira Jefferson , Espinoza Jhan Carlo , Laipelt Leonardo , Costa Marcos Heil , Espinoza‐Villar Raul , Calmant Stéphane , Pellet Victor 
Published: October 2021

AbstractAs the largest river basin on Earth, the Amazon is of major importance to the world's climate and water resources. Over the past decades, advances in satellite‐based remote sensing (RS) have brought our understanding of its terrestrial water cycle and the associated hydrological processes to a new era. Here, we review major studies and the various techniques using satellite RS in the Amazon. We show how RS played a major role in supporting new research and key findings regarding the Amazon water cycle, and how the region became a laboratory for groundbreaking investigations of new satellite retrievals and analyses. At the basin‐scale, the understanding of several hydrological processes was only possible with the advent of RS observations, such as the characterization of "rainfall hotspots" in the Andes‐Amazon transition, evapotranspiration rates, and variations of surface waters and groundwater storage. These results strongly contribute to the recent advances of hydrological models and to our new understanding of the Amazon water budget and aquatic environments. In the context of upcoming hydrology‐oriented satellite missions, which will offer the opportunity for new synergies and new observations with finer space‐time resolution, this review aims to guide future research agenda toward integrated monitoring and understanding of the Amazon water from space. Integrated multidisciplinary studies, fostered by international collaborations, set up future directions to tackle the great challenges the Amazon is currently facing, from climate change to increased anthropogenic pressure.
Quantifying Water Diffusivity and Metamorphic Reaction Rates Within Mountain Belts, and Their Implications for the Rheology of Cratons
Authors: Whyte A. J. , Weller O. M. , Copley A. C. , St‐Onge M. R. 
Published: October 2021

AbstractThe distribution of rheologically strong cratons, and their weakening by metamorphic hydration reactions, is of fundamental importance for understanding first‐order strength contrasts within the crust and the resulting controls on the tectonic evolution of the continents. In this study, the Douglas Harbor structural window within the Paleoproterozoic Trans‐Hudson orogen of Canada is used to study the hydration of the footwall Archean Superior craton basement by water released from the overlying Paleoproterozoic Cape Smith thrust‐fold belt. Phase equilibria modeling is applied to quantify the Archean and Paleoproterozoic metamorphic conditions, and to determine the effect of hydration on basement mineralogy. The amount of structurally bound water within the basement is calculated and shown to decrease as a function of distance below the basal décollement of the thrust‐fold belt. Applying a reactive fluid transport model to these results, the rate coefficient for fluid‐rock reaction is constrained to be , and the diffusivity of water through the grain boundary network to be at the ambient metamorphic conditions of 570C and 7.5 kbar. This newly documented rate of water diffusion is three orders of magnitude slower than thermal diffusion, implying that hydration by diffusion may be the rate‐limiting factor in the weakening of cratons, and therefore plays an important role in their geological persistence. This conclusion is consistent with field observations that Paleoproterozoic strain in the Douglas Harbor structural window is restricted to hydrated portions of the Archean Superior craton basement.
Evaluation of the 900‐Year European Auroral Records With Extreme Value Theory
Authors: Chen Si , Wei Yong , He Fei , Yue Xinan , Xu Kaihua , Wang Yuqi , Chai Lihui , Yan Limei 
Published: October 2021

AbstractAn explicit proxy of solar activity on the Earth is the auroral displays. The auroral oval can extend to lower latitudes during geomagnetic storms triggered by explosive solar activities. The lower the latitude of auroral oval is, the stronger the solar activity is. Systematic auroral records in Europe (mainly central Europe with geomagnetic latitude lower than 55°) can be dated back to 1000 AD and can be used to manifest solar activity in the past millennium. However, the temporal distribution of the 6,262 auroral records during 1000 and 1900 AD is seriously uneven, with 85.6% of the records appeared after 1700 AD. Here we use the extreme value theory (EVT) to evaluate the effectiveness of characterizing the solar activity with the auroral records before 1700 AD. Due to the inhomogeneity of the auroral records, the EVT has been conducted separately for the data before 1700 and after 1700, finding that the 100‐year auroral frequency is 25.66 [19.67, 33.67] based on the auroral data in 1000–1699, and 283.71 [183.14, 417.58] based on the auroral data in 1700–1900. The predictions of both the 50‐year and 100‐year auroral frequencies before 1700 AD agree well with the solar activity index.
A Simulation of the Nuclear High‐Altitude Electromagnetic Pulse (HEMP) Produced by the X‐Ray in the Ionosphere
Authors: Yao Jiansheng , Zhao Yingkui , Ye Difa , Zhang Hantian , Sun Jicheng 
Published: October 2021

AbstractSince the 1960s, scientists have been studying the nuclear high‐altitude electromagnetic pulse (HEMP) produced by γ‐rays. However, the HEMP produced by X‐rays in the ionosphere has rarely been studied by previous studies. In this study, we investigate this issue via a 1‐D particle‐in‐cell/Monte Carlo (PIC/MC) simulation model. We find that the amplitude of the electrostatic component quickly increases to the peak, and then decreases gradually. The amplitude of the electromagnetic field component gradually increases and exceeds the amplitude of the electrostatic field. This phenomenon, which contradicts previous hypotheses, adds to our understanding of the X‐ray‐produced HEMP. The evolution of secondary electrons formed by photoelectrons through ionization is very intriguing: the “newly born” secondary electrons deviate from the drifting Maxwellian distribution; thus, they cannot be described with the “swarm theory” which is based on the assumption that electrons satisfy a drifting Maxwellian distribution. This result is consistent with the recent experiment. In addition, our research indicates that assuming that all photoelectrons go forward considerably increases the amplitude of electric fields, making secondary electrons take longer to reach equilibrium. This widely used assumption in previous studies of the γ‐ray‐produced HEMP is invalid to study the X‐ray‐produced HEMP.