bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Toll-like receptor 4 antagonist TAK-242 alleviates postoperative abdominal adhesion in a mouse model
Authors: wu yunhua , Guo Yu , Ye Changchun , Wang Qiaoe , Liu Bin , Nie Lingzhi , Liu Dong 
Published: September 2023

Abstract
Background
Postoperative abdominal adhesion is a common complication after abdominal surgery. The TLR4 pathway is a common inflammation-related pathways, and while TLR4 is highly expressed in adhesion tissue, the function of TLR4 in adhesion formation remains unclear. In our study, we demonstrated that the TLR4 inhibitor TAK-242 could reduce abdominal adhesion in a mouse model.
Methods
The expression of TLR4 was examined by immunohistochemical and double-immunofluorescence staining. Forty mice were randomly divided into five groups and treated with different drugs. Seven days after surgery, the mice were sacrificed, and specimens were collected. Inflammation was detected by HE staining and ELISA analysis of TGF-β1 and IL-6, collagen deposition was examined by Masson staining and IHC staining of α-SMA, and ROS were detected by ROS staining and MDA assays.
Results
TLR4 was highly expressed in adhesion tissue on days 3, 5 and 7 after surgery. TAK-242 plus sodium hyaluronate reduced the abdominal adhesion formation score. TAK-242 decreased the inflammation score and TGF-β1 and IL-6 levels in adhesion tissue, and collagen thickness and α-SMA level were lower than those in the control group. The TAK-242 group had lower ROS and MDA levels than the control group.
Conclusions
TLR4 was highly expressed in adhesion formation, and its inhibitor TAK-242 reduced adhesion formation by reducing inflammation and ROS and alleviating collagen deposition.
Seasonal Trend in the Occurrence of Myelomeningocele in Nigeria: a Hypothesis of Climate-induced Oxidative Stress
Authors: Okpara Samuel E. , Iloabachie Izuchukwu C. , Mbanugo Tochukwu H. , Onyia Ephraim E. , Okpara Amarachi C. , Mbaeri Ikechi C. , Mathew Mesi , Uche Enoch O. 
Published: September 2023

Abstract
Purpose
Myelomeningocele is the most severe birth defect compatible with long-term survival. It accounts for 5.7% of neurological surgeries in Nigeria. However, the exact cause of this neural tube defect remains unidentified. This study aims to determine if seasonal variation is a potential environmental contributor.
Method
This study prospectively recruited 242 children diagnosed with myelomeningocele at the University of Nigeria Teaching Hospital (UNTH), Enugu, Nigeria, between January 2010 and December 2022. Our primary outcome was the seasonal occurrence of myelomeningocele, while covariates included gender, birth order, maternal folic acid supplementation (FAS), and parental age. The estimated month of conception was derived from the mother's last menstrual period (LMP), and the occurrence of myelomeningocele across the various seasons in which these babies were conceived was assessed using the Lorenz curve and the Gini coefficient.
Results
242 patients were studied with a male-to-female ratio of 1.26. The majority of cases were lumbosacral (93.4%), and none of the mothers commenced FAS before conception. The highest proportion of cases (39.7%) occurred during the hottest period of the dry season (January–March), while the lowest proportion (15.7%) occurred during the early wet season (April–June). The Gini index of 0.29, and the Gini coefficient derived from 100,000 Monte Carlo simulations of 0.24, indicate a significant variation in the distribution of myelomeningocele cases across different seasons of conception.
Conclusion
The seasonal occurrence of myelomeningocele with a peak in January–March suggests a potential association with environmental factors including oxidative stress induced by solar radiation.
Effects of sleep deprivation on visual function network of resting brain based on ICA analysis
Authors: Zhang Peng , Cao Qiongfang , Zeng Hanrui , Wang Yuhan , Weng Xiechuan , Xu Fan 
Published: September 2023

Abstract
Background: Sleep deprivation (SD) is known to negatively impact quality of life, but its effects on the visual network in the brain are not well understood. This study aimed to investigate the effects of SD on the visual function network of the resting brain in healthy young male subjects.
Methods: Sixty healthy male subjects participated in this study. Independent component analysis (ICA) was used to analyze the effects of SD on the visual network component of the resting brain. The subjects’ response-ability was measured using the Psychomotor Vigilance Task (PVT) pre- and post-SD. The highest correlated independent component with the visual network component in the standard template was selected and used as the region of interest to analyze the change process between the region of interest and the whole brain functional connectivity pre-SD and post-SD.
Results: Post-SD, false starts, mean reaction time, and React_Post mood of the PVT were significantly increased. The internal functional connectivity of the region of interest was enhanced, with the peak located in Calcarine_R. However, other functional connections based on the whole brain were weakened.
Conclusion: The findings demonstrate that SD can inhibit the functional connection mode between the visual network region of the brain and the whole brain, which further strengthens our understanding of the decline in visual information processing post-SD.
An Automatic Multiple Choices with Question using NER
Authors: Jadhav Pranita , Jadhav Shivajirao 
Published: September 2023

Abstract
Automatic Question Generation (AQG) is a research field that aims to support the growing need for proactive learning as well as advanced education systems. An automatic MCQ can generate gap-fill questions (GFQs) possessing a number of options (one true answer and three false answers). It is difficult for teachers to formulate questions from external sources such as texts on online platforms , including textbooks. It is a very tedious process.Multiple Choice Questions (MCQ) can be created in three steps: choosing the relevant sentence, selecting the sentence’s gap or empty space, and looking for distractors that prevent the learner from giving the right answer. For question generation, we used the Python framework seqval to evaluate sequence labelling. It is used to assess the performance of chunking tasks such as named-entity recognition, pos tagging, etc. The Conll2003 dataset is used along with the Roberta-base model and its Roberta tokenizers to find relevant sentences. The advantage of this Automatic Multiple Choice Question Generator (AMCQG) has distributing the services that make it simple for teachers to generate quizzes for aptitude tests, wherein evaluation gets done by administering online MCQ examination (quiz test). The informative sentence selection overall accuracy is 98.90% and the Maximum Marginal Relevance algorithm is used to find out appropriate distractors.
Removing cloud shadows from ground-based solar imagery
Authors: Chaoui Amal , Morgan Jay Paul , Paiement Adeline , Aboudarham Jean 
Published: September 2023

Abstract

The study and prediction of space weather entails the analysis of solar images showing structures of the Sun's atmosphere. When imaged from the Earth's ground, images may be polluted by terrestrial clouds which hinder the detection of solar structures. We propose a new method to remove cloud shadows, based on a U-Net architecture, and compare classical supervision with conditional GAN. We evaluate our method on two different imaging modalities, using both real images and a new dataset of synthetic clouds. Quantitative assessments are obtained through image quality indices (RMSE, PSNR, SSIM).
We demonstrate improved results with regards to the traditional cloud removal technique and a sparse coding baseline, on different cloud types and textures.
Inter-Provincial Carbon Emission Allocation and Uncertainty in China under the Carbon Peak Target
Authors: Zeng Qian , Guo Peng , Liang ZiJian 
Published: September 2023

Abstract
Based on China’s 2030 peak carbon reduction target, allocation schemes under the equity principle, efficiency principle, and a comprehensive balance of both are explored using the input-output model, Zero Sum Game-Data Envelopment Analysis(ZSG-DEA)model, and entropy value method, respectively. Abatement costs of different allocation schemes are compared, and allocations of multiple schemes under different principles and development paths are studied separately, as are uncertainties of multiple allocation options under different principles and development paths. The study shows that abatement costs under the comprehensive scheme are more acceptable to multiple provinces, the results of multi-scheme allocation under different paths are more extreme than the uncertainty of allocation principles, and technological progress under multiple development paths can better facilitate carbon abatement. Carbon allocation policies should balance efficiency and equity, but also consider the impact of various uncertainties. This study provides a methodological reference for inter-provincial carbon emission rights allocation and uncertainty in China.
Understanding of dielectric properties of cellulose
Authors: Yadav Asha , Boström Mathias , Malyi Oleksandr I. 
Published: September 2023

Abstract
The theoretical understanding of structural and optoelectronic properties is well-established for a range of inorganic materials; however, such a robust foundation is, in large part, absent in the case of cellulose. Existing literature reports a wide variance in experimentally observed properties for cellulose phases, which are often in contradiction to each other. Motivated by this, we perform an exhaustive first-principles investigation into the structural and optoelectronic properties of cellulose Iα and Iβ phases. Utilizing exchange-correlation functionals that accurately describe van der Waals interaction and leveraging state-of-the-art density functional theory methods, we strive to present a highly accurate periodic model for the cellulose phases. We integrate the framework of volume-average theory and the potential impact of water sorption to offer insights into the considerable discrepancies seen across different experimental outcomes. Thus, our study provides a reconciliatory perspective, bridging the gap between theoretical calculations and disparate experimental data.
Numerical investigation and optimization of doctor blading in the gravure printing process
Authors: Habes Constantin , Diehl Elisabeth , Sauer Hans Martin , Rothmann-Brumm Pauline , Ulbrich Stefan , Marschall Holger 
Published: September 2023

Abstract
The correct choice of the doctor blade angle is essential in rotogravure printing to achieve efficient removal of excess ink and entrained air for optimal filling of gravure cells. An improper doctor blade angle can lead to the entrapment of air bubbles within or significant underfilling of the engraved cells, which can result in print defects such as voids, streaks, and ink splatter. In this paper, we propose a numerical setup that allows to calculate the optimal doctor blade angle for a given gravure cell shape and ink properties. The doctor blade angle optimization procedure utilizes the Gauss-Newton method while the ink acquisition and doctor blading process is simulated using the Computational Fluid Dynamics (CFD) software OpenFOAM. Moreover, the numerical setup involves a fully automatized geometry generation and meshing procedure which makes the whole setup very flexible and enables its use for further optimization studies.
The findings presented in this paper provide insights into the role of the doctor blade angle in rotogravure printing and show a global trend of smaller angles leading to improved air removal. This result can potentially be exploited to optimize the printing process and reduce print defects.
Comparative assessment of drought indices for evaluating drought patterns in Peninsular Malaysia
Authors: Ng Jing Lin , Huang Yuk Feng , Chong Aik Hang , Lee Jin Chai , Abdulkareem Muyideen , Md Noh Nur Ilya Farhana , Mirzaei Majid , Ahmed Ali Najah 
Published: September 2023

Abstract
Drought has been the main environmental issue in Peninsular Malaysia. Hence, this study undertook a thorough evaluation of drought assessment methodologies and focused on the temporal analysis of multiple drought indices, namely, the standardised precipitation index (SPI), deciles index (DI), percent of normal precipitation index (PNPI), rainfall anomaly index (RAI) and Z-score index (ZSI) – across timescales of one-, six- and 12-month durations. This assessment incorporates the average moving range (AMR), Mann–Kendall (MK) test and Sen's slope estimator in temporal analysis and the results showed that shorter timescales lead to higher fluctuation in AMR values, indicating short-term droughts are best assessed using drought indices of shorter timescale. It was found that most drought indices exhibited a similar trend and trend magnitude in all timescales. SPI is utilised as the standard model for the accuracy evaluation of drought indices using root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE). The results showed that ZSI has the highest accuracy of all indices. The novelty of this study lies in evaluating the accuracy and temporal characteristics of precipitation-based drought indices in tropical areas, particularly in Peninsular Malaysia.
Evaluation of drainage water quality for irrigation reuse in Kulfo and Hare irrigation command areas, southern Ethiopia
Authors: Temesgen Edmealem , Gulie Guchie , Akili Destaw 
Published: September 2023

Abstract

Water from agricultural drainage systems can be reused when its quality is good or blended with irrigation canal water to overcome the water shortage. The primary goal of this research was to determine the quality of surface drainage water in the Kulifo and Hare irrigation projects for irrigation reuse. Water quality was evaluated in situ and in the laboratory during the irrigation season of 2022. Turbidity, TDS, pH, EC, and DO were analyzed in the field using an Aqua meter. Fifty-seven water samples were collected and analyzed for the major cation (Na+, Ca2+, K+, and Mg2+) and anion (HCO3−, CO32−, Cl−, and SO42−). The result of the drainage water quality index study, according to the water quality index for irrigation purpose reuse, ranged from 47.84 to 84.89. This indicated that the suitability of drainage water reuse for irrigation purposes was categorized as ‘poor to very poor,’ except in Shara community-managed farms. Therefore, to avoid the impact on soil quality for crop production due to the hazard of poor agricultural drainage water for irrigation reuse in the study area, it needs to be treated before being reused for irrigation purposes, except at the Shara irrigation community-managed farm.
Health assessment of water pumps using high-dimensional monitoring data
Authors: Chen Gong , Wang Lei , Yang Haoming , Wang Peifeng , Wei Jun , Bao Jianguo 
Published: September 2023

Abstract

With the development of IoT monitoring equipment, an increasing number of monitoring indicators are employed to monitor the operational status of water pumps, thereby resulting in the challenge of data redundancy. This paper proposes an algorithm for predicting the health status of pumps that integrates multiple monitoring variables. Initially, the original dataset is classified using the maximum relevance minimum redundancy method. Next, principal component dimensionality reduction is used to reduce the dimensionality of the classified dataset. Finally, a long and short term memory neural network is employed to construct the association model between monitoring data and equipment health. The proposed algorithm takes into account the correlation between variables and the negative impacts of long-term dependence on the prediction results. It is capable of predicting abnormal working conditions, which has been experimentally verified in the Xiasha Pumping Station located in Hangzhou. The algorithm was compared with LR, SVM, and RNN algorithms, and it was found that the proposed algorithm achieved the highest prediction accuracy.
Trend analysis of dependence between rainfall and storm tides in coastal cities
Authors: Li Youming , Long Yan , Jiang Xuan , Liu Kexuan 
Published: September 2023

Abstract
Compound flooding from rainfall and storm tides is prone to occur in coastal cities. The identification of them is essential for controlling urban flooding. First, the dependence between rainfall and storm tides is quantified by Kendall's τ, Spearman's ρ, and tail dependence coefficient. Then, a bivariate copula-based probability distribution model is built to calculate the joint and conditional probability of rainfall and storm tides. Finally, MK and SQMK methods are employed to detect the trends of the dependence and joint probability. The results show that: (1) The dependence between strong rainfall and corresponding storm tides is much higher than that of small rainfall and storm tides, and the effect of tropical cyclones may be one of the reasons. (2) The dependence between rainfall and storm tides is the largest in October and the smallest in July. More attention should be paid to the compound flooding caused by rainfall and storm tides in October for Haikou. (3) The upper tail dependence coefficient of the rainfall and storm tides is significantly greater than the lower tail dependence coefficient and exhibits a significant positive trend. The results can provide additional insights into the effect of rainfall and storm tides for coastal flood management.
Run-off modelling of pervious and impervious areas using couple SWAT and a novel machine learning model in cross-rivers state Nigeria
Authors: Salele Badiya , Dodo Yakubu Aminu , Sani Dalhatu Aliyu , Abuhussain Mohammed Awad , Sayfutdinovna Abdullaeva Barno , Brysiewicz Adam 
Published: September 2023

AbstractUsing the soil and water assessment tool (SWAT), runoff in pervious and impervious urban areas was simulated in this study. In the meantime, as a novel application of machine learning, the emotional artificial neural network (EANN) model was employed to enhance the SWAT obtained for this study. As a result of the EANN model's capabilities in rainfall–runoff phenomena, the SWAT-EANN couple model has been used to assess urban flooding. The pervious, impervious, and water body areas of the study area were classified and mapped to estimate the cover change over three epochs. Land use map, precipitation data, temperature (minimum and maximum) data, wind speed, relative humidity, soil map, solar radiation, and digital elevation model were used as inputs for modelling rainfall–runoff of the study area in the ArcGIS environment. The accuracy assessment of this study was excellent (root-mean-square error 1 mm of precipitation). It also revealed that (a) a land use map illustrating changes in impervious, pervious surface, and water body for 1998, 2008, and 2018; (b) runoff modelling using a historical pattern of rainfall–runoff changes (1998–2018); and (c) descriptive statistical analysis of the runoff results of the research. This research will aid in urban planning, administration, and development. Specifically, it will prevent flooding and environmental problems.
Evaluation of Preterm Birth and its Associated Risk Factors in Southeast Iran in 2020: A Glance to Social and Care Factors
Authors: Faryabi Reza , Nikvarz Mehran , Ardaneh Mahdieh , Raesi Rasoul , Daneshi Salman , Mazar Vahid Mashayekhi 
Published: September 2023

Aims:
This study aimed to assess pregnancy health care and the incidence of PTB in the south of Kerman province.

Background:
For the plan and management of prevention programs effectively, it is important to consider the incidence and trend of preterm births (PTB).

Methods:
In this cross-sectional (descriptive and analytical) study, the national code of mothers of premature infants was extracted by reporting from the national system of the Ministry of Health. The data collection tool was a researcher-made checklist. Data analysis was carried out by SPSS version 20 software and the significance level was <0.05.

Results and Discussion:
A total of 554 premature infants were examined, and 55% of them were boys. The gender of the infant and the number of cares received (p<0.01), the level of education of the mother and father (p < 0.001), the mother’s occupation (p < 0.01), the father's occupation (p < 0.001), monthly income and participation in preparatory classes of childbirth (p<0.01), place of residence (p<0.05), appropriateness of receiving care with pregnancy age (p<0.001) had statistically significant relationship with the number of care received.

Conclusion:
This study showed potential risk factors associated with preterm delivery and subsequent management to prevent preterm delivery in low-risk and high-risk women with singleton or multiple pregnancies. A history of premature birth is the most important risk factor for premature birth in the next pregnancy.
Seepage Analysis and the Reservoir Water Pollution Potential under Vertical Dam Structure Planning
Authors: Dinar C. Istiyanto  , Wulandari Ika , Shafan A. Aziiz  , Rizaldi C. Yuniardi  , Suranto  , Yofan T.D. Harita  , Affandy Hamid  , Aloysius B. Widagdo  
Published: September 2023

A prospective resolution to the intricate predicaments of flooding, sanitation, and the availability of unprocessed water for the populace of Jakarta residents is the implementation of the coastal reservoir paradigm. This paradigm entails harnessing the latent capacity of the Cisadane River flow and its subsequent storage within a retention pond, and then subjecting it to reprocessing to serve as a viable source of raw water. The selection of a vertical seawall design was based on the objective of creating an effective barrier between the reservoir and the sea, while also considering several environmental factors. This design was selected with the aim of minimizing the need for extensive soil excavation and rock placement. However, it is important to note that the risks of construction failure associated with seepage under hydraulic structure and dam stability pose significant challenges. Besides preventing saltwater intrusion and maintaining the integrity of the reservoir as a freshwater source, dam must be designed to mitigate potential seepage failure and intrusion issues. To address these concerns, this study employed numerical simulation using the SEEP/W and CTRAN/W software. The simulation was carried out to analyze seepage discharge under a vertical dam and predict potential seawater intrusion into the reservoir. The dam was examined over a ten-year period, with varying embankment widths of 10m, 20m, and 30m. The analysis considered changes in water level (ΔH) and the addition of a cut-off wall at depths of 5m, 10m, and 15m. The obtained results showed that seepage discharge rates amounted to 3,14x10-4 m3 s-1, 2,67x10-4 m3 s-1, and 2,50x10-4 m3 s-1 for embankment widths of 10m, 20m, and 30m, respectively, under a 1m level difference condition. Following this, the safety factor for piping on vertical embankment was determined as 1.10, 1.34, and 1.39 for widths of 10m, 20m, and 30m, respectively. This factor was found to increase to 4.03 when the embankment distance was widened, and a 15m deep cut-off wall was installed. It is important to note that the seawater intrusion model predicted a seawater concentration of 65,12 g m-3 at the bottom for an embankment width of 10m, while no intrusion was observed at widths of 20m and 30m with ΔH=1m. This study aims to assess potential risks of piping due to seepage and seawater contamination at the Cisadane Estuary.