bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics of Ground Pressure Disaster and Rockburst Proneness in Deep Gold Mine
Authors: Xiao Peng , Liu Huanxin , Zhao Guoyan 
Published: January 2023

Abstract
To obtain rockburst characteristics at rock engineering, the rockburst event, in situ stress characteristics, and rockburst proneness are studied in a deep gold mine. The severity of rockburst increases with cover depth at the mine. The main locations of spalling and rockburst events include roof and sidewall. The in situ stress measurement results show this area that is controlled by horizontal constructional pressure, and the self-weight stress also has an important influence. The rockburst mechanism is analyzed from the principal stress and tangential stress. When the maximum tangential stress (MTS) does not exceed 0.4 times UCS of surrounding rock, no obvious disaster in tunnel is found. When the MTS of tunnel is between about 0.4 ~ 0.55 times UCS of rock, the tunnel may suffer spalling. When the MTS of tunnel exceeds 0.55 times UCS of rock, serious failure may occur in tunnel, such as rockburst and large roof collapse. When surrounding rock is relatively hard and complete (high impact energy index, elastic strain energy index, linear elastic energy index, and RQD index), the tangential stress plays a very important role in the rockburst at the mine.
Вполне-определённые логики
Authors: Горбунов Игорь 
Published: January 2023

Обычно (особенно в рамках учебных курсов логики) теорема о дедукции воспринимается как техническое средство, облегчающее построение выводов в данной логике. При этом обходится вниманием тот факт, что если для логики верна теорема о дедукции для некоторого множества формул, то это дает новые возможности при задании отношения логического следования данной логики. При некоторых условиях, используя теорему о дедукции, вопрос о принадлежности секвенции к отношению логического следования можно свести к вопросу о принадлежности формул некоторого вида ко множеству тавтологий. Таким образом, множество тавтологий логики, обладающей дедуктивным свойством, полностью определяет саму логику. Такие логики получили в работах Р. Вуйцицкого название $\textit{вполне-определенных}$ логик (well-determined logic). Он же отметил, что для того, чтобы логика была вполне-определенной, в некоторых случаях достаточно, чтобы для логики был верен слабый вариант теоремы о дедукции (о выводимости из формулы). Заметим, что интерес к вполне-определенным логикам, в частности, связан с тем, что для их семантического задания достаточно полной семантики, а требование сильной полноты не обязательно.
Множества формул, которые позволяют задать отношение стандартного логического следования, исследуя вопрос о принадлежности к этому множеству некоторых импликаций, были названыР. Вуйцицким $\textit{импликационными системами}$ (entailment system) или $\textit{дедуктивными множествами}$. При этом понятия вполне-определенной логики и дедуктивного множества рассматривались Р. Вуйцицким для логик в языках, содержащих конъюнкцию и импликацию.
В нашей работе множества формул, которые позволяют задать отношение логического следования формулы из формулы, получили название $\textit{ слабодедуктивных множеств}$. Найден критерий слабой дедуктивности. Построена минимальная слабодедуктивная логика в языке, в котором импликация является единственной связкой.
Кроме того, понятия вполне-определенной логики и дедуктивного множества были расширены на языки, которые могут и не содержать конъюнкцию. Найден критерий дедуктивности множеств в таких языках. В языке, единственной связкой которого является импликация, построена минимальная вполне-определенная логика. Доказано, что теорема о дедукции не верна для этой логики.
Field-Scale Modeling of Interwell Tracer Flow Behavior to Characterize Complex Fracture Networks Based on the Embedded Discrete Fracture Model in a Naturally Fractured Reservoir
Authors: Liu Jinju , Jiang Liwu , Liu Tongjing , Yang Daoyong 
Published: January 2023

Summary
In a naturally fractured reservoir, natural fractures can not only provide main paths for fluid flow and increase its permeability but also complicate flow behavior and production performance. Interwell tracer tests have been widely applied to estimate the petrophysical properties; however, limited attempts have been made to accurately identify the natural fracture networks. In this study, the newly proposed numerical models have been verified and used to characterize the fracture distributions in a naturally fractured reservoir conditioned to tracer transport behavior. The stochastic fracture modeling approach is implemented to generate the randomly distributed natural fractures which are dealt with the embedded discrete fracture model (EDFM) while ensuring its sufficient accuracy. To be specific, the matrix domain is discretized using the structured grids, within which each embedded fracture is divided into a series of segments. Subsequently, nonneighboring connections (NNCs) allow us to couple the flow of fluid and tracer between the nonneighboring grid cells, while the historical tracer profiles are matched to delineate the geometry and properties of the fractures by taking multiple tracer transport mechanisms into account.
Furthermore, the influences of fracture number, fracture length, fracture orientation, and tracer dispersion on the tracer production concentration have been investigated through sensitivity analysis. The response of an interwell tracer model is sensitive to the fracture parameters rather than tracer properties. A fracture network with its orientation parallel to the mainstream direction will cause the earliest tracer breakthrough. The tracer breakthrough time with an average fracture length of 40 m is 110 days earlier than that with a mean fracture length value of 10 m, while the tracer production peak concentration for the former is nearly two times higher than for the latter. A larger fracture number results in an earlier tracer breakthrough, and an intermediate fracture number will lead to the highest tracer production concentration.
Additionally, the newly developed model has been validated through its comparison with the commercial ECLIPSE simulator and then extended to field applications to identify the possible fracture distributions by simulating multiwell tracer tests in the Midale field. The flexible and pragmatic EDFM-based method developed in this study can model the interwell tracer flow behavior as well as characterize the properties and geometries of the natural fractures with better accuracy and calculation efficiency in comparison with other fracture simulation methods (e.g., local grid refinement method).
Optimization of Real-time Dynamic Cargo Stowage at Highway Freight Stations
Authors: Zhang He , Song Jiani , Guo Shanshan , Wu Bingran 
Published: January 2023

Abstract
The stowage process of highway freight vehicles is a key link in Intelligent Logistics Transportation System. This paper is based on vehicle prediction to achieve the arrival time and the quantity of cargo-laden vehicles at freight stations, and adjust the stowage plan in real time to achieve dynamic cargo stowage. In the establishment of real-time dynamic stowage model, the truck arrival and departure time window and truck stay time constraints at the station are added. The purpose is to reduce the impact on the successive truck stowage. Then, the method combining genetic and simulated annealing algorithm is used to solve the model with the help of Matlab platform. The results show that the algorithm can effectively reduce the delay time of trucks at the freight station, improve the operation efficiency of the freight station, and at the same time visualize the stowage results. Finally, through the comparison of dynamic and static stowage, it can be concluded that dynamic stowage is more realistic and reduces the waste of related resources at the freight station and reduces the operation cost.
One-component delocalized nonlinear vibrational modes of square lattices
Authors: Ryabov Denis S. , Chechin G. M. , Naumov E. K. , Bebikhov Yu. V. , Korznikova E. A. , Dmitriev Sergey V. 
Published: January 2023

Abstract
All possible one-component delocalized nonlinear vibrational modes (DNVMs) in a square lattice are analyzed. DNVMs are obtained taking into account exclusively the symmetry of a square lattice, and therefore they exist regardless of the type of interactions between particles. In this work, the interactions of the nearest and next nearest neighbors are described by the $\beta$-FPUT potential. For each DNVM, frequency, kinetic and potential energies are described as functions of amplitude. The mechanical stresses caused by DNVMs and the effect of DNVMs on the stiffness constants of the lattice are presented. DNVMs with higher vibration frequencies have a stronger effect on the mechanical properties of the lattice. Examples of analytical analysis of DNVMs are given. It is found that two of the sixteen one-component DNVMs can have frequencies above the phonon band in the entire range of their amplitudes. It is shown that these DNVMs can be used to construct discrete breathers by applying localizing functions. The modulational instability of these two DNVMs leads to the formation of chaotic DBs. The presented results contribute to a better understanding of the nonlinear dynamics of a square lattice by analyzing the properties of a class of delocalized exact solutions and demonstrating their connection with discrete breathers.
PACS numbers: 05.45.Yv, 63.20.-e
A network pharmacology approach and validation experiments to investigate the mechanism of the Chinese medicine Wen-Dan decoction in the treatment of steroid-induced femoral head necrosis
Authors: Qi Baochuang , Li Chuan , Wu Yipeng , Xu Yongqing , Wang Yi , Li Mingjun , Shi Xiangwen , Lv Qian , Pu Luqiao , Fan Xinyu 
Published: January 2023

Abstract
Objectives: The present work studied the mechanism of action of Wen-Dan decoction
in treating steroid-induced necrosis of the femoral head (SINFH) via network
pharmacology and in vivo experiments.
Methods: The active compounds of Wen-Dan decoction and SINFH-related target
genes were identified through public databases. Based on the results, further network
pharmacological analysis was conducted to explore the potential key active
compounds, core targets and biological processes of Wen-Dan decoction in SINFH.
Subsequently, the potential mechanisms of action of Wen-Dan decoction in the
treatment of SINFH obtained by network pharmacology analyses were validated
through in vivo experiments.
Results: A total of 608 DEGs (230 upregulated and 378 downregulated) in SINFH
were identified. A GO functional enrichment analysis revealed that the SINFH-related
genes were mainly involved in neutrophil activation and the immune response, and a
KEGG pathway analysis showed that the SINFH-related genes were mainly
associated with cytokine receptor interactions, lipids and atherosclerosis, and
tuberculosis. In addition, a total of 147 active ingredients of Wen-Dan decoction were
identified; of these, the core ingredient was quercetin, and licorice was an active
ingredient. Moreover, 277 target genes in the treatment of SINFH with Wen-Dan
decoction were identified, and NCF1, PTGS2, and RUNX2 were selected as core
target genes. A quantitative real-time polymerase chain reaction (qRT–PCR) assay of
peripheral blood from SINFH patients and control individuals showed that the
patients exhibited highest levels of PGTS2 and NCF1 in blood. The qRT–PCR
analysis of peripheral blood and femoral bone tissue from a mouse model of SINFH
and control mice treated with quercetin showed that the PGTS2 and NCF1 levels
revealed lower levels in the experimental animals compared with the controls, which
was consistent with the bioinformatics analysis results. HE staining,
immunohistochemistry and TUNEL staining confirmed significant improvement in
hormone-induced femoral head necrosis in the mice treated with quercetin.
Conclusions: This study provides new insights into the genes and related pathways
involved in SINFH and shows that PTGS2 and NCF1 could be used as potential drug
targets in SINFH. Quercetin could improve SINFH by promoting osteogenesis and
inhibiting apoptosis.
The association between non-clinically apparent liver fibrosis and pulmonary arterial hypertension in Hispanic patients
Authors: Kalas M Ammar , Khatab Yacoub , Galura Gian , Alkhateeb Haider , Mukherjee Debabrata , Garcia Hernando , Zuckerman Marc , Nickel Nils 
Published: January 2023

Abstract
Background:
Pulmonary arterial hypertension (PAH) is a deadly cardiopulmonary disease with multi-organ involvement including impaired liver function. Liver dysfunction in PAH is poorly understood but significantly associated with morbidity and mortality. Hispanics have a significantly higher prevalence of non-alcoholic fatty liver disease (NAFLD) and evidence of more advanced disease in comparison to other ethnic groups. The clinical impact of NAFLD in Hispanic PAH patients is unknown. We aimed to investigate the impact of a validated scoring system, non-alcoholic fatty liver disease fibrosis (NFS) score, to predict the degree of liver fibrosis in a Hispanic PAH population and its relationship to hemodynamics, functional class, and outcomes.
Methods:
A retrospective review of all treatment naïve Hispanic patients with group I WHO pulmonary hypertension (PH) at a single academic center between February 2016 and March 2021 was performed. Patients with history of substance or alcohol abuse, non-group I WHO PH, pre-existent liver disease, chronic kidney disease, atrial fibrillation, thyroid disease, and warfarin use were excluded from the study. The diagnosis of group I WHO PH was determined by cardiac catheterization after the exclusion of other etiologies. NFS scores were calculated for each patient and correlated with functional capacity, hemodynamics, NT-proBNP, and survival.
Results:
A total of 96 Hispanic patients were included in our study. The median age of patients in our cohort was 49 (IQR 15) and 69% of our cohort were females. Higher NFS scores indicating advanced hepatic fibrosis (F3-F4) were found to correlate with elevated right-sided cardiac filling pressures, elevated levels of NT-proBNP, lower functional capacity, and worse 5-year survival rates.
Conclusion:
In Hispanic patients with PAH, NFS scores correlate with the degree of right sided pressure overload. In addition, advanced fibrosis scores were independently associated with lower 5-year survival rates and added prognostic information to other established risk parameters in PAH. This study suggests that screening for liver disease in this vulnerable patient population can aid in earlier detection and possible intervention, thus leading to potential improvement in survival rates.
Updated estimate of the breeding population of Adélie penguins (Pygoscelis adeliae) at Penguin Point, Marambio / Seymour Island within the proposed Weddell Sea Marine Protected Area
Authors: Perchivale Pablo J. , Juáres Mariana A. , Santos Mercedes M. , Marti Lucas J. , Silvestro Anahí , Coria Nestor R. 
Published: January 2023

Abstract
The Adélie penguin (Pygoscelis adeliae)is an indicator species of the state of the Antarctic marine environment and this is reflected in the size of its reproductive populations. The mean number of breeding pairs of the Adélie penguin on Penguin Point, Marambio / Seymour Island (64° 18'S, 56° 43'W) east of the Antarctic Peninsula, in the Weddell Sea, increased by 32.4% (λ = 1.01) from 1985/1986 to 2014/2015. Although in intermediate counts, there were fluctuations in the number of couples.
Variations in Adélie penguin populations may be due to natural variables such as the extent of sea ice; quantity and quality of food; winter survival of adults and juveniles; predation; among others, or due to human activities such as commercial fishing. Our study attempts to contribute to the current estimates of the reproductive population of the Adélie penguin in the region and may also contribute to the negotiations for the implementation of the marine protected area proposed in the sector.
Needs and Expectations for Artificial Intelligence in Emergency Medicine According to Canadian Physicians
Authors: Eastwood Kyle W , May Ronald , Andreou Pantelis , Abidi Samina , Abidi Syed Sibte Raza , Loubani Osama 
Published: January 2023

Abstract

Background: Artificial Intelligence (AI) is recognized by emergency physicians (EP) as an important technology that will affect clinical practice. Several AI-tools have already been developed to aid care delivery in emergency medicine (EM). However, many EM tools appear to have been developed without a cross-disciplinary needs assessment, making it difficult to understand their broader importance to general-practice. Clinician surveys about AI tools have been conducted within other medical specialties to help guide future design. This study aims to understand the needs of Canadian EP for the apt use of AI-based tools. Methods: A national cross-sectional, two-stage, mixed-method electronic survey of Canadian EP was conducted from January-May 2022. The survey includes demographic and physician practice-pattern data, clinicians’ current use and perceptions of AI, and individual rankings of which EM work-activities most benefit from AI. Results: The primary outcome is a ranked list of high-priority AI-tools for EM that physicians want translated into general use within the next 10 years. When ranking specific AI examples, ‘automated charting/report generation’, ‘clinical prediction rules’ and ‘monitoring vitals with early-warning detection’ were the top items. When ranking by physician work-activities, ‘AI-tools for documentation’, ‘AI-tools for computer use’ and ‘AI-tools for triaging patients’ were the top items. EP indicated either ‘a-great-deal’ (32.8%) or ‘quite-a-bit’ (39.7%) of potential for AI in EM, and EP were either ‘strongly’ (48.5%) or ‘somewhat’ (39.8%) interested in AI for EM. Conclusions: Including physician input in the design of AI is essential to ensure the uptake of this technology. This study will guide future directions regarding the use of AI for EM and help direct efforts to address prevailing technology-translation barriers such as access to high-quality application-specific data and developing reporting guidelines for specific AI-applications. With a prioritized list of high-need AI applications, decision-makers can develop focused strategies to address these larger obstacles.
Serum PBDEs exposure and influence factors in blood donors of Wuxi adults from 2013 to 2016
Authors: Chen Limei , Yin Qitao , Xu Lu , Hua Minyu , Zhang Zhen , Xu Yuqian , Xia Wei , Qian Huizhong , Hong Jun , Jin Jun 
Published: January 2023

Abstract
Polybrominated diphenyl ethers (PBDEs) have been used as brominated flame retardants worldwide and are correlated with extensive environmental pollution and human health concerns. This study aims to analyze the concentrations of PBDEs and to evaluate their temporal trends among a population of blood donors over a four-year period. Nine PBDE congeners were quantified in serum samples by gas chromatography with mass spectrometry (GC‒MS). The median concentrations of Σ9PBDEs in each year were 33.46, 29.75, 30.85 and 35.02 ng/g lipid, respectively. Most of the PBDE congeners showed a downward trend from 2013 to 2014 and then increased after 2014. No correlations between age and PBDE congener concentrations were observed, while concentrations of each congener and Σ9PBDE were nearly always lower in females than in males, especially in BDE-66, BDE-153, BDE-183, BDE-190 and Σ9PBDE. We also found that the intake of fish, fruit and eggs in the daily diet was related to the exposure level of PBDEs. Our results suggest that, as deca-BDE is still produced and used in China, diet is an important exposure pathway for PBDEs, and follow-up studies will be required to improve our understanding of the behaviors of PBDE isomers in humans and the exposure levels.
Comparison of river water quality assessment methods using the tree model and the nearest neighbor method (A case study: AhvazHydrometric Station)
Authors: Ebadati Naser , Hooshmandzadeh Mohammad , Malmasi saeed 
Published: January 2023

Abstract

Ahwaz Hydrometric Station is responsible for controlling surface water resources and the Karoon River near Ahwaz city in southwestern Iran. And the present study aimed to determine the parameters affecting water quality, especially TH and SAR parameters. For this purpose, 39-year old statistical data were collected with 463 samples. To determine the water quality, first the correlation matrix method and statistical analysis were conducted, and then the correlation between them and the accuracy of these methods were checked using the tree model and the K-Nearest Neighbor (K-NN) method. The K-NN method and multivariate regression were compared for water quality characteristics, including SAR. The results indicated that K-NN methods were better than the regression method. In addition, the K-NN method using the effective anion and cation combinations yielded better results of estimating Sodium Absorption Ratio (SAR) and Total hardness (TH). Furthermore, the accuracy of the tree model after estimating TH using SO42- was more than that of Ca2+. Moreover, the accuracy of the tree model using the Cl- data for SAR estimation was higher than that of the Na+ data. In general, according to the APHA standard (2005), river water is in the high-risk and low-alkaline group.
Study of a fractional order SIR model with M-H typetreatment rate and its stability analysis
Authors: Paul Subrata , Mahata Animesh , Mukherjee Supriya , Das Meghadri , Mali Prakash Chandra , Roy Banamali 
Published: January 2023

Abstract
he fractional order SIR compartmental model with a Holling type II and saturated treatment rate are explored in this manuscript with three different categoriesin the Caputo approach. A few findings for the new model’s existence and uniqueness criterion, as well as non-negativity and boundedness of the solution, have beenestablished. The stability analysis of the model shows that the system is locallyas well as globally asymptotically stable at disease-free equilibrium point E0 when R0 < 1 and at epidemic equilibrium E1 when R0 > 1. We also present an optimumcontrol scheme for an SIR model using the control parameter “Treatment rate”. Inaddition, the fractional-order Taylor’s approach is utilized to approximate the solution to the proposed model. With the help of MATLAB, we were able to conductgraphical demonstrations and numerical simulations.
Predicting corrosion inhibition efficiencies of small organic molecules using data-driven techniques
Authors: Li Xuejiao , Vaghefinazari Bahram , Würger Tim , Lamaka Sviatlana , Zheludkevich Mikhail , Feiler Christian 
Published: January 2023

Abstract
Selecting effective corrosion inhibitors from the vast chemical space is not a trivial task, as it is essentially infinite. Fortunately, machine learning techniques have shown great potential in generating shortlists of inhibitor candidates prior to large-scale experimental testing. In this work, we used the corrosion responses of 58 small organic molecules on the magnesium alloy AZ91 and utilized molecular descriptors derived from their geometry and density functional theory calculations to encode their molecular information. Statistical methods were applied to select the most relevant features to the target property for support vector regression and kernel ridge regression models, respectively, to predict the behavior of untested compounds. We compared the performance of the two supervised learning approaches and assessed the robustness of our data-driven models by experimental blind testing.