bluuebunny/crossref_metadata_2025_split huggingface dataset:
Water Abundance Comprehensive Evaluation of Coal Mine Aquifer Based on Projection Pursuit Model
Authors: Bi Yaoshan , Wu Jiwen , Tang Libin , Zhai Xiaorong , Huang Kai , Liu Wei 
Published: January 2022

Abstract
After coal mining, mining fissures develop, which may lead to an overlying aquifer and water inrush. Objectively and accurately evaluating and predicting the water abundance of the bottom aquifer of the Cenozoic are of great significance for ensuring safe mining of shallow coal seams and for the protection of water resources. The water richness evaluation index data has characteristics of high dimensionality, nonlinearity, and nonnormal distribution, and therefore, results often cannot objectively and truly reflect the water abundance of aquifers. To overcome these problems, a water abundance evaluation method is proposed that is based on the projection pursuit model. Taking the Cenozoic bottom aquifer in the Xutuan mine of Huaibei mining area, China, as a research object, a water abundance evaluation index system is constructed based on the law of sedimentary characteristics controlling groundwater. This system consists of four factors including aquifer thickness, sand and gravel layer thickness, number of sand and gravel layer, and ratio of sand and gravel content to total aquifer content. The projection pursuit comprehensive evaluation method is introduced to the water abundance evaluation of the aquifer. The method is used to optimize and solve the optimal projection direction, and the comprehensive projection value is calculated according to the optimal projection direction. The size of the comprehensive projection value is then used as basis for characterizing the water abundance degree of the Cenozoic bottom aquifer in the study area. Moreover, the Jenks natural breaks classification method is used to grade and evaluate the comprehensive projection value of water abundance. Finally, the evaluation results of water abundance are verified by the value of unit water inflow and the distribution of known water inrush points. The results show that it is feasible to employ the projection pursuit model for water abundance evaluation of mine aquifers, and optimal evaluation results can be obtained. The model projects high-dimensional data onto a one-dimensional subspace for data analysis and finds the optimal projection direction that can identify the data characteristics and mine the data to the greatest extent. Furthermore, this model avoids interferences by subjectivity and human factors and improves the scientificity and accuracy of the evaluation results. This study provides a new method and concept for the evaluation of aquifer water abundance involving multiple factors.
Impact of the COVID-19 Pandemic on Breastfeeding in Israel A Cross- Sectional, Observational Study
Authors: Magnazi Moran , Sartena Gaya , Goldberg Michal , Zimmerman Denna , Ofir Einat , Baruch Ravit , Endevelt Ronit 
Published: January 2022

Abstract
Background Since the beginning of 2020, the world has been coping with the COVID-19 pandemic. One group particularly affected by the pandemic were mothers to newborns. The Israeli government imposed three lockdowns. The first lockdown was from March 14th until May 11th and the most rigid with the strictest rules causes emotional effects like panic and stress. Mothers to newborns coped with new challenges as they stayed without help from the vast family, could not meet breastfeeding support, and stayed longer on maternity leave.Methods A cross- sectional, observational study collected data by an online survey in Israel. The survey was distributed through social media between the 27th of April to 11th of May 2020. The survey contained 42 multiples choice questions and open questions regarding breastfeeding. Results 580 women participated in the study. Most of the mothers were over 30, mean age 32.55, married with a university degree (81.5%). From 580 participants, 127 (22%) women reported changes in their lactation plans. 85 (15%) responded that due to the COVID-19 pandemic they extended their lactation and 42 (7%) responded they shortened it. We found a significant relationship between extending the plan duration of breastfeeding and returned to work later than expected p<0.001. We asked the mothers to rank the steps Israel should take to encourage breastfeeding. The highest agreement with 96% was to extend maternity leave. More than 90% believe that receiving breastfeeding consultations at home and in the hospital will encourage breastfeeding. Conclusions The finding of this study demonstrated that women experienced difficulties during the lockdown. However, some of the women lengthen their breastfeeding, because they stayed home longer than they expected due to the pandemic. This finding should be considered for future emergency situations.
In-conduit capture of sub-micron volcanic ash particles via turbophoresis and sintering
Authors: Farquharson Jamie , Tuffen Hugh , Wadsworth Fabian , Castro Jonathan , Schipper C. Ian 
Published: January 2022

Abstract
Ash emission in explosive silicic eruptions can have widespread impacts for human health, agriculture, infrastructure, and aviation. Estimates of the total grainsize distribution (TGSD) generated during explosive magma fragmentation underpins eruption models and ash dispersal forecasts. Conventionally, the TGSD constrained via erupted deposits is assumed to match the TGSD produced at explosive fragmentation. Here we present observations from within the vent of a recent rhyolitic eruption (Cordón Caulle, Chile, 2011–2012), demonstrating that fine and ultra-fine ash particles are captured and sintered to fracture surfaces, and thus sequestered in the shallow subsurface, rather than emitted. We establish a conceptual model—uniquely contextualised through a combination of syn-eruptive observations and detailed post-eruption field investigation—in which turbophoresis (particle migration towards zones of lower turbulence) and rapid sintering create an inverse relationship between particle size and the probability of its subsurface capture. Such size-dependent capture efficiency preferentially removes submicron-diameter ash from the erupted componentry, decoupling the erupted size distribution from magmatic source conditions and potentially playing an important role in modulating eruption dynamics.
Evaluating the Antimicrobial Effect of Postbiotic Extract from Lactobacillus Casei on Escherichia Coli in Commercial Sterilized Milk
Authors: Hosseini Samira , Homayouni-Rad Aziz , Kafil Hossein Samadi , Doroud Nazli 
Published: January 2022

Abstract
the antimicrobial effect postbiotics extant of Lactobacillus casei was evaluated against Escherichia coli by well propagation method and growth inhibition zone diameter was measured. The selected concentration of the postbiotic extract of Lactobacillus casei was added to milk containing E. coli, followed by evaluating the changes in colony number and pH during storage (1 and 5) days. at a temperature of 4°C and compared with control milk. The largest growth inhibition zone was formed at a concentration of 800 µl/ml against E. coli. Also, the counts of E. coli decreased on days 1 and 5 in the evaluated milk containing postbiotic (P≤ 0.05). The pH of milk containing postbiotic was 6.5-6.8 (P≤ 0.05). The results showed that the postbiotics of L. casei inhibited the growth of E. coli in milk containing.
Suppressing Chaos in Damped Driven Systems by Non-Harmonic Excitations: Experimental Robustness Against Potential's Mismatches
Authors: Palmero Faustino , Chacón Ricardo 
Published: January 2022

Abstract
The robustness of a chaos-suppressing scenario against potential mismatches is experimentally studied through the universal model of a damped, harmonically driven two-well Duffing oscillator subject to non-harmonic chaos-suppressing excitations. We consider a second order analogous electrical circuit having an extremely simple two-well potential that differs from that of the standard two-well Duffing model, and compare the main theoretical predictions regarding the chaos-suppressing scenario from the latter with experimental results from the former. Our experimental results prove the high robustness of the chaos-suppressing scenario against potential mismatches regardless of the (constant) values of the remaining parameters. Specifically, the predictions of an inverse dependence of the regularization area in the control parameter plane on the impulse of the chaos-suppressing excitation as well as of a minimal effective amplitude of the chaos-suppressing excitation when the impulse transmitted is maximum were experimentally confirmed.
Alloferon-1 Ameliorates Acute Inflammatory Responses In λ-Carrageenan-Induced Paw Edema In Mice
Authors: Zhang Xiangrui , Retyunskiy Vladimir , Qiao Shuai , Zhao Ye , Tzeng Chi-Meng 
Published: January 2022

Abstract
Alloferon-1 have been proposed as an effective peptide to enhance antitumoral immunity, antiviral defense and anti-inflammatory activity. This work aimed to assess anti-inflammatory effects of alloferon-1 against acute inflammation and histopathological deformations in λ-carrageenan-induced paw edema in mice. Systemic pretreatment with the alloferon-1 (22.0 mg/kg) injected mice showed a significant reduction in paw thickness and vascular permeability. Alloferon-1 prevented λ-carrageenan-evoked exudation and the neutrophil influx to the mouse pleura and the neutrophil migration into carrageenan-stimulated mouse air pouches based on the histopathological changes in the paw tissue. Administration of alloferon-1 also suppressed the expression of the inflammatory cytokines in the inflamed paw tissue such as tumor necrosis factor-α (TNF-α), monocyte chemoattractant protein 1 (MCP1), interleukin-5 (IL-5), etc. by Luminex liquid chip. Collectively, the present study provides evidences for the marked anti-inflammatory effects of alloferon-1 which might represent new therapeutic options for the treatment of acute inflammation inflammatory diseases.
Post-exposure Persistence of Nitric Oxide Upregulation in Skin Cells Irradiated by UV-A 1
Authors: Hazell Gareth , Khazova Marina , Cohen Howard , Felton Sarah , Raj Ken 
Published: January 2022

Abstract
Evidence suggests that exposure to the UV-A radiation can liberate nitric oxide from skin cells eliciting vasodilation in-vivo. However, the duration of nitric oxide release in skin cells after UV exposure is not well studied, with emphasis on UV-B mediated iNOS upregulation. The current study demonstrated persistence of nitric oxide release in a dark reaction after moderate UV-A exposure, peaking around 48h post exposure; this effect was shown in keratinocytes, fibroblasts and endothelial cells of both neonatal and aged donors and confirmed the hypothesis that UV-A exposure appeared to upregulate cNOS alongside iNOS. Release of nitric oxide in the skin cells induced by a moderate exposure to UV-A in sunlight may be especially beneficial for some demographic groups such as the elderly, hypertensive patients or those with impaired nitric oxide function, not only during exposure but many hours and days after that.
Chrysanthemum × Grandiflora Leaf and Root Transcript Profiling in Response to Salinity Stress
Authors: Liu He , Liu Yu , Xu Ning , Sun Ying , Li Qiang , Yue Liran , Zhou Yunwei , He Miao 
Published: January 2022

Abstract
As high soil salinity threatens the growth and development of plants, understanding the mechanism of plants’ salt tolerance is critical. As a newly developed species with a strong salt resistance, the chrysanthemum × grandiflora possesses multiple genes that control its quantitative salt resistance. Because of this multigene control, we chose to investigate the plant’s stress genes’ overall responses at the transcriptome level. C. Grandiflora were treated with a 200 mM/L NaCl solution for 12 h, and the effect of salt stress on their roots and leaves was analyzed via Illumina RNA sequencing. Most DEGs were enriched in GO annotations of ‘biological process,’ ‘nucleus,’ and ‘protein binding’. There are many genes in plant hormone signal transduction and phenylpropane biology pathways, and we observed that most of the genes had the same expression patterns in the roots and leaves. Among them, PAL, CYP73A, and 4CL in the phenylpropane biosynthetic pathway were upregulated in roots and leaves. In the salicylic acid signal transduction pathway, TGA7 was upregulated in the roots and leaves, and in the jasmonic acid signal transduction pathway, TIFY9 was upregulated in the roots and leaves. In the ion transporter gene, we identified that HKT1 showed identical expression patterns in the roots and leaves. In order to verify the accuracy of the Illumina sequencing data, we selected 16 DEGs for transcription polymerase chain reaction (qRT-PCR) analysis. qRT-PCR and transcriptome sequencing analysis revealed that the transcriptome sequencing results were reliable.
Effects of nuts and unsaturated fatty acids on Nonalcoholic Fatty Liver Disease
Authors: XU Yan , ZHANG Yan 
Published: January 2022

Abstract
Objective

To analyze the influence of nuts and unsaturated fatty acids on Nonalcoholic Fatty Liver Disease (NAFLD) and put forward reasonable suggestions for prevention.
Methods

A total of 696 patients (483 males and 213 females) admitted to Tang Du Hospital from September 2019 to May 2021 were included in the study. The effects of several factors on NAFLD were analyzed by Logistic regression, and the OR value was calculated. Smooth curves were plotted and stratified by sex, hyperlipidemia, diabetes, and hypertension.
Results

nut intake (OR= 0.97678, 95% IC [0.95581, 0.99822], P=0.033894. RR= 0.9812) and polyunsaturated fatty acids (OR= 1.20633,95༅ IC [1.12796, 1.29014], P<0.000001. RR= 1.1601) had an effect on NAFLD. The risk of NAFLD was the lowest when nut intake was 2.82 g/day, while the risk of NAFLD was highest when the intake of polyunsaturated fatty acids was 30.02g/day.
Conclusions

we recommend 2.82g/day for nuts. Men are more suitable for eating nuts than women. Patients with hyperlipidemia should consume more nuts appropriately, and patients with diabetes should consume 3.74g/day. Polyunsaturated fatty acids should also be reduced to less than 30.02 g/day.
Preferences of Pinus Sylvestris Seedling Roots for Different Phosphorus Sources under Phosphorus-Deficient Conditions
Authors: Lei Kaiyu , Creber Hamish , Bol Roland , Sohi Saran P. 
Published: January 2022

Abstract
PurposePhosphorus (P) is a limiting nutrient in many managed forests. To further understand the risks and benefits of biochar as a sustainable P source in forest management, an improved mechanistic understanding of its interactions in root systems is required.MethodsA rhizobox experiment was conducted to observe root response of P. sylvestris (Scots pine) seedlings to different biochars in comparison to triple superphosphate (TSP) fertilizer as a P source. Three types of wood-derived biochar were compared: biochar from mixed softwood pellets (“Reference biochar”); from the vascular cambium zone of Picea sitchensis (Sitka spruce) (“VCZ biochar”) and from mixed softwood pellets infused with TSP (“Processed biochar”). These alternative types of biochar presented a range of available P from low to high. The activity of roots in the rhizoboxes was monitored and analyzed using spatial GIS software.ResultsThe total length of P. sylvestris roots did not significantly differ between treatments. However, roots showed strong preference for soil proximal to VCZ biochar and strong avoidance to TSP fertilizer. There was a milder avoidance effect for Processed biochar. Different preferences were mainly explained by available P: roots favored a moderate, sustained P source and avoided sources of high available P. The avoidance effect can be attributed partially to a considerable drop in soil pH around TSP fertilizer. ConclusionThe concentration and duration of P availability affects the root response of P. sylvestris to sources of P. In P-deficient conditions, the development of P. sylvestris roots can be markedly improved by introducing biochar with a certain native P content.
Can low anthropometric features contribute to the non-screening for hypertension among adults in Burkina Faso: Results from the secondary analysis using the database of the 2013 WHO STEPS survey
Authors: Diendéré Jeoffray , Rouamba Toussaint , Kaboré Jean , Zeba Augustin Nawidimbasba , Tinto Halidou , Ouédraogo Sylvin , Millogo Athanase , Kouanda Séni 
Published: January 2022

Abstract
Background

This paper compared the anthropometric and blood pressure features between the adults who have ever and never been screened for hypertension prior to the first WHO’ Stepwise approach to Surveillance (STEPS) survey in Burkina Faso and assessed the associated factors with the uptake of the hypertension screening.
Methods

This was a secondary analysis using primary data from a cross-sectional study which were obtained from the 2013 STEPS survey conducted in Burkina Faso. We included 3831 men and women aged 25–64 years. Descriptive and analytical analyses were performed using Student’s t, and chi-square tests and logistic regression models respectively.
Results

Before the survey, 41.6% of participants have never been screened for hypertension, and comparatively to those who have ever been screened, they had significant lower means of weight, waist circumference and body mass index and lower prevalences of overweight/obesity and abdominal obesity. The prevalence of prehypertension was similar between in the two groups (41.6% in those who have never been screened vs 39.5%; p=0.19) whereas that of hypertension was lower in those who have never been screened (17.3% vs 20.8%; p=0.007). In addition to the important socio-demographic correlates in the logistic regression, the presence of both overweight/obesity (aOR=1.3; p=0.03) and abdominal obesity (aOR=1.3; p=0.002) were significantly associated with the uptake of hypertension screening.
Conclusion

Prehypertension and hypertension were also frequent in adults who had never been screened for hypertension and they usually had a slim-looking build, while the overweight/obesity and abdominal obesity status may motivate for the uptake of the hypertension screening.
Evaluation of Laboratory Management Based on a Combination of TOPSIS and RSR Methods
Authors: ZHAO Chihong , LIU Bo , LI Jing , LI Sisi , XIAO Ping , KE Changwen , ZHANG Shuangfeng , ZHANG Hong , FU Xiaoqing , CHEN Kun , GUO Hua , LIU Yan , GUO Yuanyuan , ZHANG Xiumin 
Published: January 2022

Abstract
Background

In this study, a comprehensive evaluation of management for pathogenic microbiology laboratories is performed based on a combination of Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Rank Sum Ratio (RSR) methods; in addition, the basis for improving laboratory management is provided.
Methods

Using the laboratory evaluation tool developed by World Health Organization and a combination of TOPSIS and RSR methods, a system of evaluation indicators for the management of Chinese pathogenic microbiology laboratories is established for comprehensively evaluating the pathogenic microbiology laboratories of seven provincial Centers for Disease Control and Prevention.
Results

The evaluation system includes 12 primary indicators and 37 secondary indicators. In terms of laboratory management, the seven laboratories were ranked as D, G, E, C, F, B, and A in descending order. None of these laboratories were evaluated as “good” or “poor.” One of the laboratories was marked as “relatively poor” (A), two as “medium” (B and F), and four as “relatively good” (C, E, G, and D).
Conclusion

In this study, a method for evaluating laboratory management using the TOPSIS and RSR methods is proposed, and a basis for comprehensively evaluating laboratory management for pathogenic microbiology laboratories is provided to reflect management practices.
Domestic Value Added as an Indicator for Sustainability Assessment – a Case Study on Alternative Drivetrains in the Passenger Car Sector
Authors: Harzendorf Freia , Wulf Christina , Haase Martina , Baumann Manuel , Ersoy Hüseyin , Zapp Petra 
Published: January 2022

Abstract
In order to broaden the economic pillar in sustainability assessment the indicator ‘domestic value added’ is introduced. ‘Domestic value added’ aims at comparing technologies with regards to their prospective influence on the added value of a country. This is done by classifying a technology’s value added to the developed categories domestic, potential domestic and non-domestic. Within this paper methods for estimating this indicator are introduced. Two methods are proposed, presented and assessed especially considering their applicability in a sustainability assessment context. Both methods are tested on a case study comparing two alternative drivetrain technologies for the passenger car sector (battery and fuel cell electric vehicle) to the conventionally used internal combustion engine. The first method is based on a classic economic assessment whereas the second is based on Input Output analysis. The results show, that from a ‘domestic value added’ perspective the battery electric vehicle is already more advantageous than the conventionally used internal combustion engine in percentage and absolute numbers. Fuel cell electric vehicles have the highest potential to increase their ‘domestic value added’ share in the future. This paper gives practical information on how to prospectively assess ‘domestic value added’ due to substituting existing with less developed technologies or innovation.
­Integrating concept of pharmacophore with Graph Neural Networks for chemical property prediction and interpretation
Authors: Kong Yue , Zhao Xiaoman , Liu Ruizi , Yang Zhenwu , Yin Hongyan , Zhao Bowen , Wang Jinling , Qin Bingjie , Yan Aixia 
Published: January 2022

Abstract
Recently, graph neural networks (GNNs) have revolutionized the field of chemical property prediction and achieved state-of-the-art results on benchmark data sets. Compared with the traditional descriptor- and fingerprint-based QSAR models, GNNs can learn task related representations, which completely gets rid of the rules defined by experts. However, due to the lack of useful prior knowledge, the prediction performance and interpretability of the GNNs may be affected. In this study, we introduced a new GNN model called PharmGNN for chemical property prediction that integrated pharmacophore information hierarchically into message-passing neural network (MPNN) architecture, specifically, in the way of pharmacophore-based reduced-graph (RG) pooling. PharmGNN absorbed not only the information of atoms and bonds from the atom-level message-passing phase, but also the information of pharmacophores from the RG-level message-passing phase. Our experimental results on eleven benchmark and ten kinase data sets showed that our model consistently matched or outperformed other existing GNN models. Furthermore, we demonstrated that applying pharmacophore-based RG pooling to MPNN architecture can generally help GNN models improve the predictive power. The cluster analysis of PharmGNN representations and the importance analysis of pharmacophore nodes will help chemists gain insights for hit discovery and lead optimization.