bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clarifing of Mining Process Water by Electrocoagulation
Authors: Solis-Marcial Oscar Joaquín , Talavera-López Alfonso , Ruelas-Leyva Jose Pablo , Hernández-Maldonado Jose Alfredo , Zarate-Gutiérrez Roberto , Ortiz-Marin Alejandro David , Serrano-Rosales Benito 
Published: August 2023

Abstract
Today, the lack of fresh water is one of humanity's biggest problems. This problem of water scarcity also affects industries, one of the most affected is mining. Electrocoagulation has shown great efficiency in the treatment of organic contaminants and heavy metals, and it is proposed in this work for the elimination of ions and undesirable organic compounds present in the mining-metallurgical process water and has shown great efficacy over toxic metals like arsenic, since their presence reduces the efficiency of the processes, such as flotation, using two types of electrodes, stainless steel, and aluminum. The best results were achieved with aluminum ones, being able to remove the 90% of the copper, this ion may cause a decrease in flotation efficiency. The turbidity of the water during the process was measured to determine the amount the solid present in the water, observing a reduction around of 95%, the sedimentation of the clots come about in two stage, first the coagulant was formed which trap organic matter increasing the size until reaching a particle size sufficient to settle, this process presents a zero-order kinetic model, continuing with the settle of formed clots, this stage represented by a second-order kinetic model. Test flotation were carried out with process water and electrotreated process water, obtaining an increase of 1.5% in gold recovery and 2% in silver, using electrotreated water. The formed clots were analyzed by Scanning Electronic Microscopy founding that metal ions were trapped in the clots, and the electrocoagulation can remove toxic substances like arsenic.
Assessing the Gumbel-Logistic Model's Performance in Modeling Long-Term Rainfall Series in a High-latitude Plain Region
Authors: Wang Yuge , Kong Jian , Lan Ling , Wang Xiekang , Yan Xufeng 
Published: August 2023

Abstract
The frequency of extreme events is increasing on a global scale due to various factors, accounting for natural disaster such as landslides, floods and droughts. Heilongjiang province, which is agriculturally important for China, has suffered from several extreme rainfall events in the past as a high-latitude plain region (43°26’ N-53°33’N). Analyzing historical rainfall characteristics of Heilongjiang region is useful for understanding and predicting the behavior of extreme rainfall events, providing effective strategy of reducing the economic loss of agriculture. In this paper, precipitation data from 1974 to 2017 is selected to estimate whether the monthly extreme rainfall and annual rainfall series in Heilongjiang Province obey the Gumbel-logistic model. Then we compare the Gumbel-Logistic distribution based on the data length of 5 years, 10 years, and 20 years with the original 44-year data to determine the appropriate data partition length and explore the reasons for the errors. Combining the empirical frequency and KS test, this paper concludes that the proposed model is appropriate for the representation of the joint distribution of annual monthly rainfall and corresponding amounts, which improves the rainfall assessment of these two positively correlated variables in this region. Univariate and bivariate return periods and correlation coefficients are derived as the basis for assessing the risk of extreme rainfall. The proposed model obtained from the 5-year data length has the largest error, while the distribution curve is progressively smoother as the data length increases.
Evaluation of Groundwater Quality and Contamination Using Groundwater Pollution Index (GPI), Nitrate Pollution Index (NPI) and GIS
Authors: Al-Aizari Hefdhallah S. , Aslaou Fatima , Al-Aizari Ali R. , Al-Odayni Abdel-Basit , Al-Aizari Abdul -Jaleel M. , Darwesh Nabil 
Published: August 2023

Abstract
Groundwater is an essential and indispensable resource, meeting the dire needs for drinking and irrigation purposes. The aim of this study is to assess the suitability of groundwater quality for drinking purposes. This evaluation will be conducted using the groundwater pollution index (GPI), the nitrate pollution index (NPI), and the geographic information system (GIS) in Sidi Slimane, Morocco, Morocco. In the study, a comprehensive collection of 20 samples were obtained from various locations for analysis and evaluation. The result of Piper and Gibbs diagrams uncovered that the characteristics of groundwater are shaped by various factors, including the weathering of parent rocks, evaporation, interactions between rocks and water, as well as ion exchange processes. The GPI value ranged from 0.7 to 10.8 with an average of 7.03. These findings indicate that 60% of the groundwater samples analyzed in the study area were classified as highly polluted and unsuitable for drinking purposes. The values of NPI were ranged between − 0.9 and 10.5. Based on the NPI classification, about 80% of the overall groundwater samples obtained are highly polluted, indicating that the groundwater in the study area is unsuitable for drinking purposes. This study plays a vital role in identifying the polluted areas and highlighting the need to take appropriate measures to control the sources of pollution in the study area, in order to protect water resources and ensure the provision of safe water to the local population.
Intraspecific variation in fine root morphology of European beech: A root order-based analysis of phenotypic root morphospace
Authors: Leuschner Christoph , Rüther Eva , Hertel Dietrich 
Published: August 2023

Abstract

Fine roots are multifunctional organs that may change function with ageing or root branching events from primarily absorptive to resource transport and storage functions. It not well understood, how fine root branching patterns and related root functional differentiation along the root axis change with soil chemical and physical conditions. We examined the variation in fine root branching patterns (the relative importance of 1st to 4th root orders) and root morphological and chemical traits of European beech trees in dependence on soil depth (topsoil vs. subsoil) and soil chemistry (five sites with acid to neutral/alkaline bedrock). Bedrock type and related soil chemistry had only minor influence on branching patterns: base-poor, infertile sites showed no higher fine root branching than base-rich sites. The contribution of 1st -order root segments to total fine root length decreased at all sites from about 60% in the topsoil (including organic layer) to 45% in the lower subsoil. This change was associated with a decrease in specific root area and root N content and an increase in mean root diameter with soil depth, while root tissue density did not change consistently. We conclude that soil depth (which acts through soil physical and chemical drivers) affects the fine root branching patterns of beech to a larger extent than soil chemical variation across soil types. To examine whether changes in root function are indeed triggered by branching events or result from root ageing and diameter growth, spatially explicit root physiological and anatomical studies across root orders are needed.
Development of glucose/pH responsive smart hydrogel of carbopol and application in microneedles
Authors: Pi Mingli , Weijun Liu , Huang Beibei , Wu Tingxuan , Zhang Tao , Wang Wei 
Published: August 2023

Abstract

A new glucose-responsive polymer made from carbopol and 3-phenylboronic acid was developed with condensation reaction. The resulting polymer possesses a pKa of 6.86 ± 0.38 at a proper feedstock ratio of 1:2 (w/w), which approached the physiological pH. The hydrogel made of the corresponding polymer exhibited good features in response to changes of glucose concentration and solution pH value. The features were elevated owing to the addition of ammoniated ZnO nanoparticles, and be related to the structure morphology of hydrogel converted into irregular sheet along with porous structure from initial regular lamellar. Two types of microneedles containing insulin were also made and demonstrated their enough piercing abilities by mechanical compression test. Transdermal release tests of insulin in vitro displayed well responsive release performances, and then the pulsatile releases ensued since glucose concentration alternated between 400 and 100 mg/dL, indicating that the developed micronedle system can realize the controlled release of insulin, i.e. the constructed smart carbopol polymer have potential application in the field of biomedicine.
The Effect of COVID-19 Infections and Vaccination on Menstrual Cycle Symptoms in the South of Jordan: A Cross-sectional Study
Authors: Lubad Mohammad Abu , Abu-Helalah Munir , QawaQzeh Mohammad , Alahmad Esra’a Alahmad , Al-Tamimi Malak , Ruba'i Mohammad , Etoom Sahm , Alfayoumi Rawan , Aldaoudeyeh Fatima Aldaoudeyeh , AlAbabneh Ekram , kharabsheh Ahlam , Alshraideh hussam 
Published: August 2023

Abstract
Background:
Several recent studies and reports have highlighted the need for more evaluation of the impact of COVID-19 infections and vaccines on the reproductive system and menstruation.
Methods:
A cross-sectional survey utilizing face-to-face interviews from 1 October to 31 December 2021 was conducted in the city of Kerak in the southern part of Jordan. The study questionnaire assessed the impact of COVID-19 infection and vaccines on menstrual symptoms. It included sociodemographic characteristics, medical and reproductive history, the contraceptive method, MC status, previous medical and drug history, and the effect of infection and vaccination on the MC.
Results:
This study questionnaire was completed by 400 participants with a mean age of 32.1±12.6. Regarding the history of COVID-19 infections, 33.8% of the participants reported a history of confirmed COVID-19 infections. 77.8% of them do not report any menstrual changes following the infection, while the remaining 22.2% reported changes in menstruation. The most commonly reported post-COVID-19 symptoms were irregular MC (27.6%) and light MC (24.15) or dysmenorrhea (24.1%). Heavy menstruation was reported by 17.2% of participants post-COVID-19 infection.
Two-thirds of study participants (66.6%) reported no changes in the MC following the COVID-19 vaccine. The most reported symptoms for those who experienced changes in the MC following the vaccination were irregular MC (13.1%), heavy menstruation (7%), and light menstruation (7%). Other reported symptoms were: dysmenorrhea (4.6%), intermenstrual bleeding (1.2%), and amenorrhoea (0.5%).
Conclusion:
This is the first published study from Jordan on the impact of COVID-19 infection and vaccine on menstrual symptoms. It revealed minor changes in the MC following COVID-19 infections and the COVID-19 vaccine. These findings are consistent with published reports. It is recommended that future clinical trials for new vaccines for women within childbearing age to include outcomes related to sex hormones and MC. Women should be encouraged to take the vaccines and to report symptoms for healthcare professionals for further assessment.
Accelerating Halide framework by automatic Affine scheduling using the stochastic optimization algorithm on MLIR
Authors: Wang Xiang-Yu , Shen Jian-Yu , Liao Shih-Wei 
Published: August 2023

Abstract
The increasing usage of computer vision algorithms in camera-centric devices has led to a growing need for optimizing these algorithms to improve their performance on resource-constrained platforms. Halide is a language specific to image processing algorithms that separates the algorithm's scheduling from its implementation, resulting in high performance. This thesis proposes an approach to improve the performance of Halide computer vision algorithms using stochastic algorithms such as simulated annealing to optimize scheduling, which enables exploring the global optimum of affine scheduling in constrained time. To convert the Halide program to MLIR, we use novel compile flows, namely the Halide to MLIR (HTM) converter. The efficacy of the approach will be evaluated on different platforms, such as x86, ARM, and RISC-V. The study demonstrates the potential of MLIR's transformation and optimization capabilities on Affine dialects and highlights the need for tuning infrastructure to fully leverage MLIR's optimization capabilities.
Synthesis modified Magnetite quantum dot-based nanofluid as an engineered stable material to enhanced oil recovery in carbonated reservoirs with stuyding mechanisms
Authors: Zeraatkar Ahmad , Heydarinasab Amir , Gerami Shahab 
Published: August 2023

Abstract

Using optimal and environmentally friendly exploration and production technologies for oil reservoirs will be essential in the coming decades. Therefore, we synthesis new engineered low-cost fluids with natural components to study enhanced oil recovery in carbonate reservoir in real rock, fluids and harsh reservoir conditions (high salinity and temperature). This study used low-cost and available Iron oxide quantum dot-based particles synthesized at optimum temperature to have colloidal stability, low formation damage with economic and environmental friendly approach. Modified Magnetite quantum dots (MMQDs) is compared with PEs-decorated magnetite nanostructure particles (MMNPs). MMQDs characteristics were investigated with XRD, FTIR, ASAP, FSM,DLS, HDT, Contact angle, IFT, Amott Cell Tests, Core Flood and PD tests. Structural disjoining pressure, adsorption, and permeability impairment were investigated with different concentrations. We found that PEs can bind to surface modifiers and improve dispersion and the main and predominant mechanism of hydrophilic-modified-nanostructures was the ability of making carbonate rock to be oil-wet. Core flood results show that efficiency in oil recovery of MMQDs is higher than MNPs fluid in same concentrations and can reach 33.8%. With our flooding test derived data, it can probably be said that 53.6% of the decrease is related to mineral uptake and the remaining is related to magnetite irreversible adsorption. However, irreversible adsorption of our MMQDS-1000 ppm fluid is only 1.7% in the core scale; however the important role of injected brine, needs to be discussed in detail in future studies.
Tension characteristics analysis of scraper chain of heavy-duty scraper conveyor with time-varying load
Authors: Li Shuai , Zhu Zhencai , Lu Hao , Xue Yujun 
Published: August 2023

Abstract
With the intensification and large-scale of coal mining, scraper conveyors are developing towards high power, large volume, long haul distance and high reliability. It is more and more important to obtain the dynamic tension of the scraper chain with time-varying load. The purpose of this paper is to obtain the dynamic tension of scraper chains of the scraper conveyor with time-varying load. First, according to the structural characteristics and working environment of the scraper conveyor and the polygon effect of the sprocket, the scraper conveyor dynamics model under the action of the time-varying load is established by the finite unit method; Second, the load variation rule of the bearing section is explored when the scraper conveyor and shearer work together; Furthermore, the element resistance of each discrete element, the stiffness coefficient of the scraper chain and the influence of polygonal effect of sprocket wheel are analyzed; And then, the dynamic tension of the scraper chain is obtained by the Hilber-Hughes-Taylor (HHT) method; Finally, the validity of the scraper conveyor dynamic model is verified by the example analysis and field measurement experiment. The obtained results can provide a theoretical basis for the reliability evaluation and parameter optimization of the scraper conveyor.
Fractographic Study of Thermoplastic Composites Based on Carbon Fiber/PA6 Conditioned in Heated Distilled Water and Saline Solution and Tested in Tensile
Authors: montagna larissa stieven , Morgado Guilherme Ferreira de Melo , Guimarães Alessandro , Passador Fabio Roberto , Rezende Mirabel Cerqueira 
Published: August 2023

Abstract
The weathering and environmental factors to which components are exposed during their useful life can promote damage and, consequently, premature failure in service. Thus, through the morphological analysis of fracture surfaces, it is possible to identify the failure modes and the main fractographic aspects present on the fracture surface. From these data, it is possible to increase the knowledge of the behavior of the material in service or even to have information for preventive corrections in the processing and use of material. Fractographic studies of carbon fiber (CF)/thermoplastic matrix composites are still little explored in the literature and can bring important contributions to understanding the failure mode of this class of materials. The objective of this work is to study the fractographic aspects of CF/polyamide 6 (PA6) composite exposed to two different conditionings, that is, distilled water at 80 ºC and saline solution, tested in tensile. Scanning electron microscopy analyses showed that the CF/PA6 laminate has a good consolidation and also an excellent CF/matrix interface. Plastic deformations and fiber bridiging are present in the fracture surface of the unconditioned specimens. However, after conditioning in distilled water at 80 ºC, the matrix became more fragile and the interface weaker. The conditioning in saline solution was less aggressive due to the salt effect that decreased the water migration into the specimens. The fractographic study performed shows in details the influence of environmental deterioration using accelerated weathering on the fracture surface of thermoplastic laminates tested in tensile.
Do social networks attenuate the population-level impact of tuberculosis interventions? A mathematical modeling study
Authors: Milali Masabho Peter , Kim Hae-Young , Corliss George F , Bershteyn Anna 
Published: August 2023

Abstract
Mathematical modeling is vital for tuberculosis (TB) goal-setting and program planning. Many TB models assume “all-to-all” mixing, i.e., that any infectious individual can transmit TB to any susceptible individual in a population. We compared the impact of TB treatment and vaccination in an all-to-all compartmental model versus a social network model that had identical TB disease assumptions, but with transmission only among social contacts. We found that low-coverage or low-efficacy treatment or vaccination had considerably less impact on TB cases when modeled using a social network. Treatment that shortens TB disease by 20% reduced new TB cases by 71±0.1% after one year with a social network, compared to 82±0.9% with all-to-all mixing. Effective vaccination for 30% of the population reduced new TB cases by 72±1.1% after one year with a social network, compared to 94±1.3% with all-to-all mixing. In contrast, high coverage-coverage and high-efficacy interventions had similar impacts in both models. Results were consistent across modeled population sizes (10,000 – 150,000) and average number of contacts per person in the network (12 – 60). Use of all-to-all transmission models may overestimate the impact of low-coverage and low-efficacy interventions, with implications for TB target-setting and program planning when only sub-optimal interventions are available.
Global patterns of metal and other element enrichment in bog and fen peatlands
Authors: Osborne Chetwynd , Gilbert-Parkes Spencer , Spiers Graeme , Lamit Louis James , Lilleskov Erik A. , Basiliko Nathan , Watmough Shaun 
Published: August 2023

Abstract
Peatlands are found on all continents, covering 3% of the global land area. However, the spatial extent and causes of metal enrichment in peatlands is understudied and no attempt has been made to evaluate global patterns of metal enrichment in bog and fen peatlands, despite that certain metals and rare earth elements (REE) arise from anthropogenic sources. We analyzed 368 peat cores sampled in 16 countries across five continents and measured metal and other element concentrations at three depths down to 70 cm as well as estimated cumulative atmospheric S deposition (1850–2009) for each site. Sites were assigned to one of three distinct broadly recognized peatland categories (bog, poor fen, and intermediate-to-moderately rich fen) that varied primarily along a pH gradient. Metal concentrations differed among peatland types, with intermediate-to-moderately rich fens demonstrating the highest concentrations of most metals. Median enrichment factors (EFs; a metric comparing natural and anthropogenic metal deposition) for individual metals were similar among bogs and fens (all groups), with metals likely to be influenced by anthropogenic sources (As, Cd, Co, Cu, Hg, Pb, and Sb) demonstrating median enrichment factors (EFs) > 1.5. Additionally, mean EFs were substantially higher than median values, and the positive correlation (< 0.40) with estimated cumulative atmospheric S deposition, confirmed some level of anthropogenic influence of all pollutant metals except for Hg that was unrelated to S deposition. Contrary to expectations, high EFs were not restricted to pollutant metals, with Mn, K and Rb all exhibiting elevated median EFs that were in the same range as pollutant metals likely due to peatland biogeochemical processes leading to enrichment of these nutrients in surface soil horizons. The global patterns of metal enrichment in bogs and fens identified in this study underscore the importance of these peatlands as environmental archives of metal deposition, but also illustrates that biogeochemical processes can enrich metals in surface peat and EFs alone do not necessarily indicate atmospheric contamination.
Clinical outcomes guided by quantitative flow ratio in multivessel disease and ST-elevation myocardial infarction patients with diabetes mellitus
Authors: Xian Huimin , Luo Xing , Liu Yanzong , Guo Bingchen , Guo Yiyuan , Zhang Ruoxi 
Published: August 2023

Abstract
Background
Quantitative flow ratio (QFR) had good feasibility and accuracy in assessing the hemodynamisc compared with fraction flow reservation (FFR) as the reference. Diabetes mellitus (DM) worsens the prognosis of multivessel disease and ST-elevation myocardial infarction (MVD-STEMI) patients. However, the role of QFR in MVD-STEMI patients with DM is unknown. The purpose of this study is to investigate the clinical outcomes of patients with MVD-STEMI under different diabetes status and revascularization assignment guided by quantitative flow ratio (QFR).
Methods
A total 724 patients were enrolled in our study and allocated into nondiabetes mellitus (nonDM) cohort and DM cohort. Under the guidance of QFR, cohorts are divided into functional complete revascularization (FCR) layering and functional incomplete revascularization (FIR) layering. The primary outcome was a composite of major adverse cardiovascular events (MACE) including cardiac death, ischemia-driven revascularization (target vessel revascularization and nontarget vessel revascularization), rehospitalization due to unstable angina pectoris, and nonfatal myocardial infarction at 3-year follow up.
Results
DM cohort (22.9% vs 13.6%, P = 0.002) and FIR layering (24.0% vs 12.6%, P < 0.001) were more prone to MACE. The incidence of MACE in four groups were as follows: 27.9% DM + FIR > 18.5% nonDM + FIR > 16.1% DM + FCR > 9.8% nonDM + FCR. Besides, DM and FIR had been proven to be important predictors of MACE after adjustment for baseline clinical differences (HR = 1.60, 95%CI = 1.03–2.49, P = 0.036; HR = 1.71, 95%CI = 1.13–2.57, P = 0.011). By incorporating QFR-guided residual SYNTAX score (rSSQFR) into model of clinical risk factors, the predictive ability of the model for MACE was significantly improved, especially in the DM (+ IR) population (AUC = 0.812, 95%CI = 0.750–0.874) vs AUC = 0.666, 95%CI = 0.581–0.751, P < 0.001).
Conclusions
Diatebes status and functional incomplete revascularization strategy increased 3-year rates of MACE in patients with MVD-STEMI. The use of QFR by DM population is more valuable than that of nonDM population.