bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extractive Text-Image Summarization with Relation-Enhanced Graph Attention Network
Authors: Xie Feng , Chen JingQiang , Chen Kejia 
Published: August 2022

Abstract
Multi-modal summarization with multi-modal output (MSMO) aims to generate multi-modal summaries for a multi-modal document to improve readability of summaries by making use of information of different modalities. Most existing Seq2Seq-based MSMO models cannot well capture multi-modal relations which are significant for generating high-quality multi-modal summaries. To address this issue, this paper proposes a relation-enhanced graph attention network for extractive text-image summarization (ReGAT-Summ) to capture inter-modal and intra-modal relations in the multi-modal document. Firstly, a multi-modal graph is constructed from the document. Then, node representations are calculated by proposed graph neural network. Finally, a sentence-image selector is trained to select salient sentences and images, which are further aligned by training. To our knowledge, we are the first to explore the graph-based model for MSMO. Experiments on two news datasets E-DailyMail and NYTime800k demonstrate that ReGAT-Summ achieves the state-of-the-art performance in terms of automatic metrics and human evaluations.
Ophthalmic Examination Parameters for the Timing of Corneal Crosslinking Indications in Patients with Keratoconus
Authors: Miyakoshi Akio , Hayashi Atsushi , Oiwake Toshihiko 
Published: August 2022

Abstract
Purpose: To find parameters of a general ophthalmic examination that can detect indications for corneal crosslinking (CXL) (minimum corneal thickness: MCT >400 μm) in patients with keratoconus.Methods: The cases of the patients referred to Toyama University Hospital for the treatment of keratoconus from August 2011 to May 2021. The percentage of patients with keratoconus who had an MCT <400 μm at their first visit was identified, and we performed a receiver operator characteristic (ROC) analysis to determine the predictive accuracy of general ophthalmic examination parameters and MCT. We calculated the area under the curve (AUC), sensitivity, and specificity of each factor.Results: The analyses included 66 eyes of 38 Japanese patients aged 25.0±7.1 yrs (range 12–38 yrs) (56 male eyes and 10 female eyes). Thirty percent of the patients had an MCT <400 μm. The AUC for uncorrected distance visual acuity (UCDVA) was 0.85. We set the cut-off value at 1.22 (converted to decimal visual acuity: ≥0.06) and observed 87% sensitivity and 75% specificity. The AUC for corrected distance visual acuity (CDVA) was 0.90. We set the cut-off value at 0.52 (converted to decimal visual acuity: ≥0.3) and observed 89% sensitivity and 75% specificity.Conclusions: It is advisable to refer patients with keratoconus to a specialized facility for CXL when the following conditions are present: (ⅰ) UCDVA (decimal visual acuity) ≥0.06 and (ⅱ) CDVA (decimal visual acuity) ≥0.3.
Biomechanical study of C2 sagittal-parallel pedicle screw versus leaning angle pedicle screw in atlantoaxial fixation: a finite element study
Authors: Zeng BaiFang , Shen Danwei , Qing Binwei , Wang Xiangyu , Wu Chao 
Published: August 2022

Abstract
Background
The atlantoaxial structure is an important motion segment in the cervical spine and atlantoaxial instability could be a life-threatening injury. The purpose of this study is to compare the biomechanical properties of the C2 sagittal-parallel pedicle screw and C2 traditional pedicle screw. combined C2 sagittal-parallel pedicle screw (C1PS + C2PPS) and C1-C2 traditional pedicle screw (C1-2PS) for atlantoaxial instability fixation.
Method
Based on the computed tomography (CT) images, a total of 5 intact C1-2 finite element models were established and validated. On this basis, instability models were developed and two different fixation methods were applied for each model: C1 traditional pedicle screw combined with C2 sagittal-parallel pedicle screw (C1PS + C2PPS) and C1-C2 traditional pedicle screw (C1-2PS). Under the physiological load of 40 N, the 1.5 Nm pure moment was used to simulate movements of the cervical spine in flexion, extension, lateral bending and axial rotation. The von Mises stress of implants and range of motion (ROM) were analyzed and compared statistically.
Results
In flexion and extension, the C1PS + C2PPS performed lower segment ROM (12.4% and 6.3% decreased) and stress concentration (15.9% decreased in flexion) compared with C1-C2PS. In lateral bending and axial rotation, the C1PS + C2PPS performed higher segment ROM (42.9% and 5.9% increased) and stress concentration (8.7% and 21.4% increased) compared with C1-C2PS.
Conclusion
Both methods were relatively safe and stable for atlantoaxial instability fixation. Compared with C1-C2PS, the C1PS + C2PPS may offer a better stability and lower risk of implant failure in flexion and extension, but C1-C2PS could perform an advantage in lateral bending and axial rotation.
Amelioration effect of natural bioactive flavonoids from Turbinaria ornata against oxidative stress induced neurochemical degradation and neurodegeneration
Authors: Lingappa Sivakumar , Sivaranjani Ganapathy , Hemalatha Tamiloli , Manivasagam Thamilarasan , Somasundaram Somasundaram Thirugnanasambandan 
Published: August 2022

Abstract
Marine macroalgae are abundant reservoir for biologically active molecules with antioxidant, anti-inflammatory, antiapoptotic and protease inhibition activities. Neurodegeneration is a relentless neurological disorder which is characterized by progressive atrophy in the nervous system. The multifunctional properties of glycosides from macroalgae could be utilized to treat diverse pathologic aetiologies of various human diseases. The study aimed to characterize the therapeutically effective flavonol glycosides from methanolic extracts of Turbinaria ornata to prevent neurologic progressive atrophy. Subsequently the two major fractions of methanolic extracts (i.e. MWTO, fraction from 50% methanol and MTO, fraction from absolute methanol) were purified and eluted through column chromatography and confined as glycosides. MWTO fraction showed effective antioxidant, anti-proteolytic, anti-haemolytic and anticoagulant activities than MTO fraction. MWTO also exhibited promising acetylcholine and butyrylcholine esterase inhibition activities. The in-vitro study revealed that MWTO could prevent cytotoxicity and ROS formation in SH-SY5Y neuroblastoma cells and significantly enhance the cell proliferation, thus could halt the progressive atrophy of the disease in the neurons. Later, MWTO was subjected to chemical characterization by HPLC, FTIR and UHPLC-ESI/MS and predicted the aglycone molecule of flavonol glycoside as oleanolic acid. Therefore, the active therapeutic flavonol glycoside from MWTO could be used to combat neurodegeneration and related diseases.
A new version of CBDC based on the most important economic factors and exports of countries
Authors: Han Chung Seok , Hamooni Amir , Tajdini Saeid , Mehrara Mohsen , Ghahroud Majid Lotfi 
Published: August 2022

Abstract
The purpose of this study is to introduce and design a new cryptocurrency to improve the weaknesses of the current central bank digital currency which is based on fiat money. CBDCs mirror the value of fiat currency but some countries such as China manage their money supply mainly by printing currency and controlling forex rates. So, in this new cryptocurrency, the economic strength and trade balance between countries are the most important factors for comparing the value of this cryptocurrency. Based on this new model, the fair-trade balance between countries and exports of countries are the main part of the model. Since purchasing power parity (PPP) is applied in our model, we added the concept of this model to our new model. The results of this study showed that to issue this new cryptocurrency -we called it Export Crypto- we can compare countries based on economic factors. It is completely different from CBDCs that are pegged to the value of that country's fiat currency.JEL Classifications: F30, F65, B17, E60, F40
Maternal anxiety during pregnancy is associated with weaker prefrontal functional connectivity in adult offspring
Authors: Turk Elise , Heuvel Marion I. van den , Sleurs Charlotte , Billiet Thibo , Uyttebroeck Anne , Sunaert Stefan , Mennes Maarten , Bergh Bea Van den 
Published: August 2022

Abstract
Background. The connectome, constituting a unique fingerprint of a person’s brain, may be influenced by its prenatal environment, potentially affecting later-life resilience and mental health. Methods. We conducted a prospective resting-state functional Magnetic Resonance Imaging study in 28-year-old offspring (N=49) of mothers whose anxiety was monitored during pregnancy. Two offspring anxiety subgroups were defined: “High anxiety” (N=13) group versus “low-to-medium anxiety” (N=36) group, based on maternal self-reported state anxiety at 12-22 weeks of gestation. To predict resting-state functional connectivity, maternal state anxiety during pregnancy was included as a predictor in general linear models for both ROI-to-ROI and graph theoretical metrics. Sex, birth weight and postnatal anxiety were included as covariates. Results. Higher maternal anxiety was associated with weaker functional connectivity of medial prefrontal cortex with left inferior frontal gyrus and left lateral prefontal cortex with left somatosensory motor gyrus in the offspring. While our results showed a general pattern of lower functional connectivity in adults prenatally exposed to maternal anxiety, we did not observe significant differences in global brain networks between groups. Conclusions. Weaker (medial) prefrontal cortex functional connectivity in the high anxiety adult offspring group suggests a long-term negative impact of prenatal exposure to high maternal anxiety, extending into adulthood. To prevent mental health problems at population level, universal primary prevention strategies should aim at lowering maternal anxiety during pregnancy.
A matter of metals: Copper but not cadmium affects the microbial alpha-diversity of soils and sediments, a meta-analysis
Authors: Signorini Marco , Midolo Gabriele , Cesco Stefano , Mimmo Tanja , Borruso Luigimaria 
Published: August 2022

Abstract
Heavy metals (HM) accumulation in soil affects plants and soil fauna, yet the effect on microbial alpha-diversity remains unclear, mainly due to the absence of dedicated research synthesis (e.g. meta-analysis). Here, we report the first meta-analysis of the response of soil microbial alpha-diversity to the experimental addition of cadmium (Cd) and copper (Cu). We considered studies conducted between 2013 and 2022 using DNA metabarcoding of bacterial and fungal communities to overcome limitations of other cultivation- and electrophoresis-based techniques. Fungi were discarded due to the limited studies number (i.e. 6 studies). Bacterial studies resulted in 66 independent experiments reported in 32 primary papers from four continents. We found a negative dose-dependent response for Cu but not for Cd for bacterial alpha-diversity in the environments, only for Cu additions exceeding 29.6 mg kg-1 (first loss of -0.06 % at 30 mg kg-1). The maximal loss of bacterial alpha-diversity registered was 13.89 % at 3837 mg kg-1. Our results first highlight that bacterial communities behave differently to soil pollution depending on the metal. Secondly, our study suggests that even extreme doses of Cu do not cause a dramatic loss in alpha-diversity, highlighting how the behavior of bacterial communities diverges from soil macro-organisms.
Mapping ecosystem service supply-demand bundles for an integrated analysis of tradeoffs in an urban agglomeration of China
Authors: Zhong Zhen , Fang Xuening , Zhang Yu , Shu Xianfang , Guo Dan 
Published: August 2022

Abstract
Ecosystem service (ES) bundles are widely used approaches to analyze ES tradeoffs in urban agglomeration. However, few ES bundle studies considered both the supply and demand side. The objective of this study was to map ES supply-demand bundles to comprehensively analyze the ES tradeoffs in the Yangtze River Delta by using cluster analysis, correlation analysis, hotspots analysis, and principal component analysis. We found that: (1) Both the supply and demand of ES are unevenly distributed with highly spatial autocorrelation. (2) Significant tradeoffs and synergies between ES in terms of supply-supply, demand-demand, and supply-demand. (3) Four ES supply-demand bundle types were identified with distinct ES supply and demand relationships. (4) Land use types, urban intensity, and climatic factors are the main social-ecological factors that distinguish the four identified clusters. The identified ES supply-demand clusters can support the main functional zoning of the Yangtze River Delta. Our results also suggest that “land sharing” is a more appropriate approach for the sustainable development of the Yangtze River Delta considering the balance of multiple ES supply and ES demand.
The anti-hypoxia protective effect of WYY026B by combining with red blood cells
Authors: Zhang Yuying , Zhang Pingping , Liu Ye 
Published: August 2022

Abstract
The improvement of the endurance of humans in resisting hypoxia and reducing hypoxia‑induced organ damage is an urgent problem to be solved. In this study, WYY026B has anti-hypoxia effect and alleviates brain injury induced by ischemic, which is a small molecule compound. Moreover, we found that WYY026B increased oxygen content of blood under hypoxia stress. Red blood cells (RBCs) have the characteristic of transporting oxygen to all tissues in the body through hemoglobin. A series of tests in vitro revealed that WYY026B could combine with RBCs. And immunofluorescence assays showed that WYY026B bonded to the erythrocyte membrane and can enter the RBCs. These results can hint that WYY026B enhances the ability of RBCs to carry oxygen by interacting with RBCs. This provides theoretical basis for elaborating the anti-hypoxia protection of WYY026B in myocardial ischemia, cerebral ischemia and altitude hypoxia injury.
An Experimental Set-up for Measurement of Mechanical and Biochemical Properties of Municipal Solid Waste Undergoing Anaerobic Biodegradation
Authors: Patil Swati , Endait Mahesh 
Published: August 2022

Abstract
A bioreactor landfill is a recent invention in the field of waste management. A large-scale bioreactor simulator is developed in this study. The simulator configuration, testing procedure, sampling, and measurements are presented. The study describes the effect of degradation on long settlements. The effect of leachate recirculation was assessed from the biochemical properties of leachate and biogas. Municipal Solid Waste (MSW) sample was collected from the working phase of the solid waste management site in Vilholi Nasik (Maharashtra, India). Leachate collected from the same site was used for the recirculation. The degradation process in the simulator was monitored for 106 days. The total settlement was 1.2% recorded. pH, Alkalinity, and chemical oxygen demand of leachate were monitored throughout the experimental investigation and found responsible parameters for the degradation process. Biogas production potential rate of 3ℓ/day with a phase lag of 12 days was obtained from Modified Gompertz Model. The composition of biogas analyzed the presence of 74% CO2 and 24%CH4. Practitioners can use the simulator and experimental investigation data presented in this study for designing bioreactor landfills.
Revisiting Statistics and Evidence-Based Medicine: On the Fallacy of the Effect Size Based on Correlation and the Misconception of Contingency Tables
Authors: Roussakow Sergey 
Published: August 2022

Abstract
BACKGROUND: Evidence-based medicine (EBM) is in crisis, in part due to bad methods,which are understood as misuse of statistics that is considered correct in itself. The studyquestions the correctness of the basic statistics related to the effect size (ES) based oncorrelation (CBES). METHODS: Monte Carlo simulation of paired samples, mathematicalanalysis, conceptual analysis, bias analysis. RESULTS: Correlation and ES are not related.CBES is a fallacy, mainly based on the point biserial correlation (PBC) fallacy andmisconception of contingency tables (MCT), which makes no distinction between grosscrosstabs (GCTs) and contingency tables (CTs). Misapplication of Pearson’s correlationcoefficient to point biserial datasets and GCTs gives ES parameters that are not related tocorrelation. Equations directly expressing ES in terms of correlation coefficient are flawed,since it is impossible without including covariance. Generalization of these fallacies leads toerroneous inferences, conversions, transformations, meta-analyses, and misunderstandingof the nature of correlation. MCT leads to misuse of the relevant statistics and is soubiquitous that all findings from CTs are suspect. CONCLUSIONS: Two related commonstatistical misconceptions, CBES and MCT, have been exposed and fixed. Thesemisconceptions are threatening because most of the findings from correlation, pairedsamples and CTs, including meta-analyses, can be misleading. Since exposing these fallaciescasts doubt on the reliability of the statistical foundations of EBM in general, we urgentlyneed to revise them.
Downscaling approach for analysis and forecasting of meteorological parameters and identification of different drought years
Authors: Zadafiya Gautam , Pravinbhai Ladavia Chirag , Gandhi Haresh 
Published: August 2022

Abstract
Natural disasters related to water resources as a result of climate change are becoming a major concern for the entire world. The majority of people in India work in agriculture. Droughts, floods, cyclones, and other natural disasters are all linked to uncertainty in meteorological parameters. The primary goal of this research is to investigate and forecast various meteorological parameters in the Bhavnagar district of the Gujarat region. The statistical downscaling technique uses Global Climate Model (GCM) data for analysis, while the dynamic downscaling technique uses Regional Climate Model (RCM) data. RCM data are prepared for important places of the Earth. GCM data are freely available for all parts of the Earth. So, in this study, GCM data are used. RCM data and dynamic downscaling make the process complicated. Using GCM data and the statistical downscaling technique, meteorological parameters i.e. maximum temperature, minimum temperature, and rainfall can be accurately predicted in this study. To predict meteorological parameters, RCP 8.5 scenario and SPI are used to identify the various types of drought years of the study area. Flood hazard maps and drought contingency plans can be prepared based on predicted meteorological parameters. According to SPI analysis, Bhavnagar will experience 26 mild, 8 moderate, 2 severe, and 3 special droughts up to the year 2100.
Rainfall variability and trends in the Borana zone of southern Ethiopia
Authors: Worku Mitiku Adisu , Feyisa Gudina Legese , Beketie Kassahun Ture , Garbolino Emmanuel 
Published: August 2022

Abstract
This paper has examined the variability and trends of rainfall in the Borana zone, southern Ethiopia. Monthly rainfall data from 1981 to 2018 were obtained from the National Meteorological Agency (NMA) of Ethiopia. Mean, standard deviation and coefficient of variation were employed to analyze temporal variability. Mann–Kendall (MK) test and Sen's slope estimator (SEE) were used to determine trend and its magnitude, respectively. The inverse weighting distance (IDW) interpolation technique was employed to generate surface data and produce spatial rainfall maps. April and Belg were the wettest month and season, respectively. On an annual basis, Arero (741 mm) followed by Teltele (629 mm) were the wettest stations, whereas the Dillo station (285 mm) was the driest. Rainfall is highly variable on a monthly and seasonal basis than annual timescale. Meher rainfall has shown a significant rainfall increase (P-value &lt;0.05) at most stations. A significant increase in annual rainfall was observed at Arero, Dehas, Dillo and Miyo. Spatially, rainfall decreases from the northeast and northwest parts of the Borana towards the southwest. The findings of this study can serve as a reference basis and provides useful information for policymakers to devise and implement better water management strategies in this water-scarce region.
Resveratrol Effects on Molecular Pathways and MicroRNAs in Gastrointestinal
Cancers
Authors: Davoodvandi Amirhossein , Sharif Pouya Mahdavi , Dana Parisa Maleki , Asemi Zatollah 
Published: August 2022

Absatract:
Gastrointestinal (GI) cancers are one of the most prevalent types of neoplasms
worldwide. The incidence of GI cancers is increasing rapidly. Despite all advances in the
management of GI cancers, treatment options for these disorders are still limited and
there are no effective therapeutic approaches. Hence, finding new treatment strategies
seems to be necessary to decrease mortality in patients with such cancers. The application
of natural products has found a prominent role in the management of some neoplastic
disorders. Resveratrol is a phytochemical found in various fruits and plants such as
red grapes and tea. Recently, the effects of resveratrol on the microRNAs in the management
of some neoplastic disorders have been investigated. This review is aimed to illustrate
the molecular pathways related to resveratrol and evaluate the impacts of resveratrol
on the different microRNAs in the milieu of the prevention and treatment of GI cancers.
The Effect of Liquid Organic Fertilizer “Bio Ferti” Application on the Growth Rate of <i>Spirulina platensis</i> by Using Haldane Model
Authors: Ginting M Iqbal Maulana , Suyono Eko Agus , Koerniawan Mochammad Donny , Suwanti Lucia Tri , Siregar Ulfah Juniarti , Budiman Arief 
Published: August 2022

This experimental research was performed to observe the influence of an agricultural liquid organic fertilizer called Bio Ferti on the growth and biomass of Spirulina platensis, aiming at replacing inorganic fertilizer with the liquid organic one. The cultivation of the microalgae was conducted over seven days at Nogotirto Algae Park. The liquid organic fertilizer, namely Bio Ferti, was obtained from the Faculty of Biology, Universitas Gadjah Mada, and prepared to have doses of 2, 4, 6, 8, and 10 mL. For comparison, an inorganic fertilizer with the same doses was also prepared. The variables to be observed were cell density, dry cell weight, and growth kinetics. The culture medium conditions observed were temperature, pH, and salinity (the optimum salinity was 20 ppt). The growth kinetic analysis was performed mathematically using numerical simulations using the Contois and the Haldane models. This research’s results showed that Bio Ferti affected the growth rate of Spirulina platensis. With a dose of 2 mL, it became the optimum medium which produced the highest density and dry weight of 1.78x106 cells/mL and 160 mg/mL, respectively. Meanwhile, the inorganic fertilizer with a dose of 10 mL produced the highest density and dry weight of 2,13x105 and 80 mg/mL, respectively. The temperature ranged from 28 to 31°C, while the pH ranged from 8.01 to 9.02 for each medium. The suitable model to describe the growth kinetics of Spirulina platensis was the Haldane model.