bluuebunny/crossref_metadata_2025_split huggingface dataset:
Groundwater quality assessment in Harrat Khaybar, western Saudi Arabia
Authors: Alshehri Fahad , El-Sorogy Abdelbaset S. 
Published: August 2022

Abstract
Evaluating the suitability of groundwater for human use is essential for water supply and health in arid and semi-arid regions. In this work, a total of 68 groundwater samples were collected from Harrat Khaybar, western Saudi Arabia to evaluate the suitability of groundwater for drinking and irrigation purposes and to document the controlling mechanisms using pollution indices and multivariate statistical methods. The results showed that the average values of the ions Cl–, SO42–, HCO3–, NO3–, Na+, Ca2+, Mg2+, and total dissolved solids (TDS) were greater than the permissible limit for drinking water while the average values of heavy metals (HMs) were less than the permissible limit, with exceeding limits of Cr, Se, As, Zn, and Pb in some individual samples. Piper diagram indicated that 47.10% of the water samples are of Na-K-SO4-Cl type, 23.51% of Ca-Mg-CO3-HCO3 type, 23.51% of Ca-Mg-SO4-Cl type, and 5.88% of Na-K-CO3-HCO3 type. Based on the groundwater quality index (GWQI), 29 of the groundwater samples were categorized as excellent and good water for drinking purposes, while 29 samples fell under poor, very poor water, and unsuitable for drinking. Additionally, results of heavy metal pollution index (HPI) indicated that all water samples fell within the low pollution category, while the metal index (MI) results indicated that 35 samples fell within very pure, pure, and slightly affected categories, while 33 samples fell in the moderately, strongly, and seriously affected categories. Results of electrical conductivity (EC), sodium adsorption ratio (SAR), sodium percentage (%Na), Kelly’s ratio (KR), and magnesium ratio (MR) revealed that 33.82–98.5 % of the water samples are suitable for irrigation depending on the parameter type. Ions exchange reactions and dissolution of carbonates, evaporites, and silicates, as well as industrial and domestic effluents and intensive use of fertilizers and pesticides were the natural and athropogenic factors controlling the groundwater geochemistry in the study area and HM pollution in some wells.
Vitro -derived hop (Humulus lupulus L.) leaves and roots as source of bioactive compounds: antioxidant activity and polyphenolic profile
Authors: CHIANCONE BENEDETTA , Guarrasi Valeria , Leto Leandra , Vecchio Lorenzo Del , Calani Luca , Ganino Tommaso , Galaverni Martina , Cirlini Martina 
Published: August 2022

Abstract
Bioactive compounds extracted from plant essences are of great value for those enterprises interested in natural products; plant tissue culture techniques guarantee a reliable and constant biomass production. Hop (Humulus lupulus L.), with its wealth in bioactive compounds, is an unvaluable resource. The present study focused on the characterization of vitro-derived leaves and roots of two hop genotypes, Cascade and Gianni. Extracts obtained from the selected hop explants were investigated, determining their polyphenolic content as their antioxidant capacity, applying DPPH, ABTS and FRAP assays; moreover, phenolic extract molecular profile was obtained through UHPLC-MS/MS. Results confirm the wealthy in bioactive compounds and the antioxidant properties of vitro-derived hop explants tested; furthermore, the qualitative characterization evidenced that extracts obtained from vitro-derived hop tissues are composed of twenty one different compounds and contain the same hop antioxidant molecules, as well as xanthohumol and isoxanthohumol, also present in open field grown hop plants, such as α-acids and β-acids. Achievement obtained are encouraging and lays the groundwork to further investigate the potential of vitro-derived hop plantlets as bioactive compounds source.
A Study On Prediction Of Lung Cancer Using Machine Learning Algorithms
Authors: Gupta Abhishek , Zuha Zuha , Ahmad Israr , Ansari Zeeshan 
Published: August 2022

Abstract
Lung cancer is the second most dangerous disease worldwide which is curable if its diagnosis is done in earlier stages. Even with the rise in cancer diseases, researches have shown that the mortality rate of cancer patients is less. For the treatment of cancer patients, Machine learning and AI have been researched and employed for the early detection of this disease in the past years. Biomedical image processing and detection of data have been used in combination in order to devise new techniques. In this paper, image classification was performed and machine learning algorithms were applied on lung cancer disease dataset to calculate measures such as accuracy, sensitivity, etc. K-NN, Random forest and SVM algorithms have been used to analyze the initial stage lung cancer by applying these on the lung cancer dataset.
Loss of participation among young adults in the prospective disaster cohort study of the Comprehensive Health Check in the Fukushima Health Management Survey after the Great East Japan Earthquake
Authors: Yamamoto Kana , Takita Morihito , Kami Masahiro , Tani Yuta , Yamamoto Chika , Tianchen Zho , Ohira Tetsuya , Maeda Masaharu , Yasumura Seiji , Sakai Akira , Hosoya Mitsuaki , Okazaki Kanako , Yabe Hirooki , Tsubokura Masaharu , Shimabukuro Michio , Ohto Hitoshi , Kamiya Kenji 
Published: August 2022

Abstract
Background
The present study aimed to clarify the characteristics of young evacuees who had missed the Comprehensive Health Check of the Fukushima Health Management Survey after the Great East Japan Earthquake in 2011.
Methods
The Fukushima Health Management Survey has been conducted as a prospective cohort study to evaluate health status of evacuees annually after the great earthquake in 2011. This study focused on the annual participation rate in the Comprehensive Health Check of young evacuees aged between 20 and 37 years who had been evacuated due to the Fukushima Daiichi Nuclear Power Plant accident. Exploratorily, we compared the characteristics of subjects who participated in 2011 only with those who had in both 2011 and after 2012.
Results
The participation rate was estimated at 26.6% (9,720 among 36,502 residents) and 15.6% (5,691 residents) in 2011 and 2012, respectively. Multivariate analysis revealed the following characteristics in 2011 as independent predictors of non-participation after the second year of the survey: age ≤ 24 years (adjusted odds ratio 2.07, 95% confidence interval: 1.82–2.36), 25–29 years of age (1.25, 1.12–1.41), men (1.51, 1.37–1.66), evacuation outside the municipality but within Fukushima Prefecture (1.52, 1.38–1.67), evacuation outside the Fukushima Prefecture (1.29, 1.14–1.46), smoking habit (1.33, 1.21–1.46), and drinking habit (1.19, 1.09–1.30). A medical history of heart disease and a body mass index ≤ 18.5 kg/m2 showed opposite odds ratios which indicates the association with continuous participation (0.48, 0.30–0.76, 0.84, 0.73–0.97, respectively).
Conclusions
We observed deteriorated participation in the prospective study of the Comprehensive Health Check of the Fukushima Health Management Survey among evacuees of a younger age group, men, those evacuated outside their municipalities, and those with smoking and drinking habits. Hence, the cohort study may have missed certain population groups indifferent to disaster-related health problems. Thus, it is necessary to consider various measures to increase the participation rate in the disaster cohort study to understand the long-term health effects of disasters on younger residents in evacuation zones.
The association of self-efficacy, awareness of aged life, and retirement preparation with psychological well-being among aged
Authors: Lee BO MI , Lee Kang-Sook , Lee Dahyeon 
Published: August 2022

Abstract
Background
This study was conducted to evaluate the association of self-efficacy, awareness of aged life and retirement preparation with psychological well-being among middle-aged and elderly people.
Methods
This study used 285 men and women aged 40 to 65 years old, including public officials and public enterprise employees who participated in retirement education hosted by public institutions living in Seoul and Gyeonggi Province, as research data. The survey period was conducted from November 10, 2020 to February 28, 2021, and the collected data were analyzed using SPSS 22.0 as frequency analysis, t-test, ANOVA, regression and Sobel Test.
Result
Self-efficacy, perception of old life, retirement preparation, and psychological well-being according to social demographic characteristics differed significantly in civil servants and professionals, and the higher income and educational background. Correlation between the sense of self-efficacy, awareness of aged life, retirement preparation, and psychological well-being of middle-aged and elderly people. The perception of old life and self-efficacy have a positive impact on retirement preparation, and the perception of old life through retirement showed significant differences in psychological well-being, confirming that it is a variable that can improve psychological well-being.
Conclusion
Self-efficacy and perception of old life are highly related to improving psychological well-being, so continuous research should be needed to improve self-efficacy and old life awareness through retirement preparation and health promotion programs using public pensions.
Extension of the Modified Compression Field Theory for FRP Reinforced Masonry Elements
Authors: Bondarabadi Hosseinali Rahimi , karimipanah Ahmad 
Published: August 2022

Abstract

Modified Compression Field Theory (MCFT) is recognized as a non-linear procedure in the analysis of reinforced concrete structures, which was introduced for calculating the response of reinforced concrete elements subjected to shear. This analysis is based on the stress-strain relation of concrete and reinforcement, by means of an iterative method called the secant stiffness. This study implements the MCFT through an innovative approach based on the stress-strain relation of brick and fiber reinforced polymer (FRP) composite to analyze the in-plane behavior of FRP- reinforced masonry buildings. Further, failure mechanism and FRP debonding are considered. The analysis is performed through a nonlinear finite element program. To this end, non-linear formulations are conducted following by way of the nonlinear iterative secant stiffness procedure. The accuracy of the proposed model are validated is confirmed against the experimental findings available in the literature.
Identification of key genes related to immune infiltration in cirrhosis via bioinformatics analysis
Authors: Du Tong-Yue , Gao Ya-Xian , Zheng Yi-Shan 
Published: August 2022

Abstract

Background:Cirrhosis is the most common subclass of liver disease worldwide and correlated to immune infiltration. However, the immune-related molecular mechanism underlying cirrhosis remains obscure.Methods:Two gene expression profiles GSE89377 and GSE139602 were investigated to identify differentially expressed genes (DEGs) related to cirrhosis. Enrichment analysis for DEGs was conducted. Next, the immune infiltration of DEGs was evaluated using CIBERSORT algorithm. The hub DEGs with tight connectivity were identified using the String and Cytoscape databases, and the expression difference of these hub genes between normal liver and cirrhosis samples was determined. Finally, the association between hub DEGs and immune cell infiltration was explored by Spearman method.Results:Among the 299 DEGs attained, 136 were up-regulated and 163 were down-regulated. Then the enrichment function analysis of DEGs and CIBERSORT algorithm showed significant enrichment in immune and inflammatory responses. And four hub DEGs (ACTB, TAGLN, VIM, SOX9) were identified. Finally, the immune infiltration analysis indicated that, these hub DEGs were highly related to immune cells.Conclusions:This study revealed key DEGs involved in inflammatory immune responses of cirrhosis, which could be used as biomarkers or therapeutic targets of cirrhosis.
In-orbit demonstration of a re-trainable Machine Learning Payload for processing optical imagery
Authors: Mateo-García Gonzalo , Veitch-Michaelis Josh , Purcell Cormac , Longepe Nicolas , Mathieu Pierre Philippe , Reid Simon , Anlind Alice , Bruhn Fredrik , Parr James 
Published: August 2022

Abstract
Cognitive cloud computing in space (3CS) describes a new frontier of space innovation powered by Artificial Intelligence, enabling an explosion of new applications in observing our planet and enabling deep space exploration. In this framework, machine learning (ML) payloads --isolated software capable of extracting high level information from onboard sensors-- are key to accomplish this vision. In this work we demonstrate, in a satellite deployed in orbit, a ML payload called ‘WorldFloods’ that is able to send compressed flood maps from sensed images. In particular, we perform a set of experiments to: (1) compare different segmentation models on different processing variables critical for onboard deployment, (2) show that we can produce, onboard, vectorised polygons delineating the detected flood water from a full Sentinel-2 tile, (3) retrain the model with few images of the onboard sensor downlinked to Earth and (4) demonstrate that this new model can be uplinked to the satellite and run on new images acquired by its camera. Overall our work demonstrates that ML-based models deployed in orbit can be updated if new information is available, paving the way for agile integration of onboard and onground processing and "on the fly" continuous learning.
Soil Arsenic toxicity impact in the growth and C-assimilation of Eucalyptus nitens
Authors: Ramalho José C. , Pelica João , Lidon Fernando C. , Silva Maria M. A. , Simões Maria M , Guerra Mauro , Reboredo Fernando H. 
Published: August 2022

Abstract

The selection of suitable plant species that can live in contaminated and abandoned mining areas is a goal environmental managers and policy makers. In this framework, the use of a fast-growing forestry species such as Eucalyptus nitens in the recovery of As from artificial contaminated soils was studied during a long-term experiment. Roots can accumulate levels ranging between 69.8 and 133 µg g− 1 for plants treated with 100 As and 200 As, respectively, while leaves between 9.48 µg g− 1 (200 As) and 15.9 µg g− 1 (100 As) without apparent morphological damage and toxicity symptoms. The performance of the photosynthetic apparatus showed a gradual impact in some gas exchange parameters such as net photosynthetic rate (Pn), stomatal conductance to H2O (gs) and the transpiration rate (E), particularly with the use of the highest As concentration (200 As), but without significant impacting the PSII performance. The effects of As on the uptake and translocation of Ca, Fe, K and Zn revealed two major interferences. The first one related with Zn where a moderate antagonism was detected, and the second one related with Fe, where a particular enrichment in E. nitens leaves was noted in both As treatments. Thus, it seems to exist a synergistic action with impact in the levels of the photosynthetic pigments in As treated plant leaves, compared with control plants. In face of the acquired data, E. nitens must be considered as an alternative when phytoremediation processes are put in practice in our country.
Health behavior, life-years loss and the educational gradient
Authors: Ibarra-Sanchez Ana Silvia , Olsen Jan Abel , Finn Iselin Caroline , Wisløff Torbjørn 
Published: August 2022

Abstract
Our objective is to explore how educational differences in health behavior may impact life expectancy. Cross-sectional data from the Tromsø Study conducted in 2015/2016 was used to explore the relationship between education and reported lifestyle behavior. Published estimates of life-year losses associated with health behaviors were combined with the participants’ health behavior to give personal estimates of life expectancy loss. Then, we assessed the distribution of this life loss across education levels to give an indication of the social gradient in loss of life expectancy due to health behaviors as reported in 2015/2016. Considerable educational inequalities were observed in lifestyle behavior in the Tromsø Study. According to the published literature, smoking was found to be associated with the largest life-loss, followed by low physical activity and obesity. The number of respondents following a healthy lifestyle and thereby facing the smallest loss of life expectancy increased with every level of education, whereas the proportion of individuals that did not adhere to healthy lifestyle recommendations and with the largest potential life loss decreased with educational level. There is a clear education gradient in the adherence of health behavior recommendations that could lead to educational differences in life expectancy.
Morphometric and Clinical Evaluation of Sphenopalatine Foramen on Computed Tomography Images
Authors: Şeker Büşra , Açar Gülay , Çiçekcibaşı Aynur Emine , Aydoğdu Demet 
Published: August 2022

Abstract
Purpose
This study aimed to investigate the effect of anatomical variations in the sphenopalatine foramen and the lateral nasal wall on sphenopalatine foramen-related morphometric measurements.
Methods
Temporal bone multidetector computed tomography records of 153 patients were evaluated. Morphometric measurements were made between the fixed anatomical landmarks and the sphenopalatine foramen. Number, shape, localization variation of the sphenopalatine foramen, concha bullosa, and septum deviation were noted.
Results
No significant difference was detected between the right-left sides for all distances measured except SPF-CA and SPF-BL and most of the measurements were higher in males. In addition, statistical analysis of the obtained morphometric data was performed according to age groups. Classified the shape of the sphenopalatine foramen five types and reported that the most common irregularly shaped (37.3%). In our study, 91.2% single, 7.8% double, and 1% triple sphenopalatine foramen were detected. The location of sphenopalatine foramen was reported as the most common type I. No statistically significant relationship could be determined between morphometric data and septum deviation types. SPF-NF, SPF-ML, OSPF-ANS, and HSPF-ANS measurements were found to be significantly smaller in the presence of concha bullosa, whereas SPFA was found to be higher.
Conclusion
This study revealed a significant relationship between the morphometric measurements of the sphenopalatine foramen and concha bullosa, while septum deviation types did not affect morphometric results. For a safer and more effective surgery with prevention of iatrogenic complications, a surgeon should be aware of this correlation, especially in endoscopic sphenopalatine foramen approaches.
COVID-19 absenteeism in a meat processing abattoir during sustained community transmission in Central Queensland, Australia
Authors: Krasnova Svetlana , Smoll Nicolas , Khandaker Gulam 
Published: August 2022

Abstract
Objective
Here we present the evaluation of the effect of the new COVID-19 national policy for the management of cases and close contacts and school re-opening on staff absenteeism in a meat processing/abattoir in Central Queensland, Australia during sustained community transmission.
Results description:
The new definition of a close contact and 7-day isolation period appeared to be minimizing the burden on absenteeism and the critical essential workforce model to helping this further.
Three modes of the east Asia summer monsoon influencing Eastern China
Authors: Liu Yong-he , Hu Yong-Hong , Feng Jin-Ming 
Published: August 2022

Abstract
East Asia Summer Monsoon (EASM) is the primary circulation affecting boreal summer precipitation in eastern China and is mainly dominated by the recession and extension of the Western Pacific Subtropical High (WPSH). Based on monthly datasets, previous studies have mainly focused on the intensity and variability of the WPSH, in order to obtain potential predictions of the EASM. Here, based on daily wind anomalies, in addition to the most common mode of WPSH, two additional modes are found in the summer circulation over China. The second mode (M2) seems irrelevant to the influence of WPSH over China. The positive phase of M2 favors precipitation in the areas south of the Yangtze River and the western Northeast China, but is unfavorable to precipitation in North China. M2 poses an India Ocean-East China (or west-east) dipole pattern. The positive phase of M2 seems associated with a strong, large, spatially continuous but southerly shifted subtropical high that connects the WPSH and the subtropical high over the India Peninsular/Indian Ocean, leading to a strong eastward wind flow from the northern India Ocean to the northwest Pacific. Accompanying with this large subtropical high system is a cyclonic circulation over the area of Southeastern China and the East China Sea. The positive phase of the third mode (M3) reflects a northward shifted WPSH, which favors precipitation in northern China and a small part of South China, but unfavorable to precipitation in the Yangtze River basin. M3 is associated with a strong south-north dipole structure of sea level pressure. The south side of this structure is over the Maritime Continent, and its north side is over the Asia continent, but the variation of sea level pressure over the Maritime Continent is small compared with that over the Asian continent and the western North Pacific, so this dipole structure can also be regarded as a uniform structure over the Asia continent. Comparatively, M3 has a more pronounced decreasing trend in the past decades, while M2 mainly poses decadal changes.