mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Transcriptomic and metabolomic analyses reveal that exogenous strigolactones alleviate the response of melon root to cadmium stress

Strigolactones (SLs) are classified into plant hormones,playing a key role as a mediator of plant growth in response to several abiotic stresses.Cadmium (Cd),a common heavy metal and soil pollutant,can suppress plant growth and development.In this work,we explored the effects of exogenous SLs on root formation in response to Cd stress using melon seeds subjected to seven germination treatments:CK (control),Cd (300 mmol·L~(-1) CdCl_2),and SL1eSL5 (CdCl_2-stressed seeds pretreated with 0.1,0.5,1,2,and 3 mmol·L~(-1) GR24 solutions).The results indicated that SLs increased the antioxidant enzyme activities and root vigor and decreased the malondialdehyde (MDA) contents in the roots of Cdstressed melon seedlings.Then we used transcriptomic and metabolomic analyses to explore the mechanisms by which exogenous SLs protect against Cd stress.There were 242 significant differentially expressed genes (DEGs) (78 upregulated,164 downregulated) and 247 significantly differentially expressed metabolites (DEMs) (222 upregulated,25 downregulated) between the Cd and SL3 treatments.SLs altered the expression of genes related to redox formation processes,including peroxidase (POD),lipoxygenase (LOX),glutamate dehydrogenase (GDH),and glutathione S-transferase (GST).In addition,we found that SLs regulated the expression of the MYB,AP2/ERF,bHLH,and WRKY transcription factor families.The combined transcriptomic and metabolomic analyses revealed that the DEGs and DEMs involved in Cd stress alleviation were mainly related to the gene expression of jasmonic acid (JA) and flavonoid biosynthesis.SLs might induce LOX-related genes to regulate JA biosynthesis.Moreover,SLs might promote flavonoid biosynthesis by regulating eleven flavonoid-related genes and eight metabolites.The results provide a new perspective for studying the adaptation of plants to Cd stress.
Partial proportional odds model for analyzing pedestrian crashes, threshold heterogeneity by scale and proportional odds factor

Despite low traffic in Wyoming, pedestrian crash severity accounts for a high number of fatalities in the state. Thus this study was conducted to highlights factors contributing to those crashes. The results highlighted that drivers under influence, type of vehicle, location of crashes, estimated speed of vehicles, driving over the recommended speed are some of factors contributing to the severity of crashes. In this study, we used proportional odds model which assumes that the impact of each attribute is consistent or proportional across various threshold values. However, it has been argued that this assumption might be unrealistic, especially at the presence of extreme values. Thus, the assumption was relaxed in this study by shifting the thresholds based on some explanatory attributes, or proportional odds effects. In addition, we accounted for the spread rate, or scale, of the model's latent distribution of pedestrian crashes. The results highlighted that the partial proportional odds model through proportional odds factor and scale effects result in a significant improvement in model fit compared with the standard proportional odds model. Comparisons were also made across standard normal, simple partial ordinal model, and partial ordinal accounting for scale heterogeneity. In addition, various potential threshold structures such as symmetric and flexible were considered, but similar goodness of fits were observed across all those models. Extensive discussion has been made regarding the formulation of the implemented methodology, and its implications.
Evaluation and intelligent deployment of coal and coalbed methane coupling coordinated exploitation based on Bayesian network and cuckoo search

Coal and coalbed methane (CBM) coordinated exploitation is a key technology for the safe exploitation of both resources.However,existing studies lack the quantification and evaluation of the degree of coordination between coal mining and coalbed methane extraction.In this study,the concept of coal and coalbed methane coupling coordinated exploitation was proposed,and the corresponding evaluation model was established using the Bayesian principle.On this basis,the objective function of coal and coalbed methane coordinated exploitation deployment was established,and the optimal deployment was determined through a cuckoo search.The results show that clarifying the coupling coordinated level of coal and coalbed methane resource exploitation in coal mines is conducive to adjusting the deployment plan in advance.The case study results show that the evaluation and intelligent deployment method proposed in this paper can effectively evaluate the coupling coordinated level of coal and coalbed methane resource exploitation and intelligently optimize the deployment of coal mine operations.The optimization results demonstrate that the safe and efficient exploitation of coal and CBM resources is promoted,and coal mining and coalbed methane extraction processes show greater cooperation.The observations and findings of this study provide a critical reference for coal mine resource exploitation in the future.
Spatiotemporal evolution of thermo-hydro-mechanical-chemical processes in cemented paste backfill under interfacial loading

Cemented paste backfill (CPB) and rock interface interaction causes the formation of an interfacial loading and affects the thermal,hydraulic,mechanical,and chemical processes in bulk CPB and thus its in-situ behavior.In this study,a new meter-sized column model is developed to systematically investigate the multiphysics processes in CPB under interfacial loading.The obtained results discover that for the mechanical process,the interfacial loading leads to a reduced settlement and a weakened stress level in CPB.For the hydraulic process,lower matric suction and smaller moisture content coexist in CPB under interfacial loading.For the thermal process,the interfacial loading weakens the porosity-dependent thermal conduction and causes retardation in temperature variation relative to the ambient temperature.For the chemical process,weakened cement hydration with smaller electrical conductivity was observed in CPB under interfacial loading.Therefore,the obtained results reveal the linkage between the interfacial loading and multiphysics processes in CPB and thus contribute to an in-depth understanding of the multiphysics behavior of CPB in underground mines.
Data-driven Seeing Prediction for Optics Telescope: from Statistical Modeling, Machine Learning to Deep Learning Techniques

Predicting seeing of astronomical observations can provide hints of the quality of optical imaging in the near future, and facilitate flexible scheduling of observation tasks to maximize the use of astronomical observatories. Traditional approaches to seeing prediction mostly rely on regional weather models to capture the in-dome optical turbulence patterns. Thanks to the developing of data gathering and aggregation facilities of astronomical observatories in recent years, data-driven approaches are becoming increasingly feasible and attractive to predict astronomical seeing. This paper systematically investigates data-driven approaches to seeing prediction by leveraging various big data techniques, from traditional statistical modeling, machine learning to new emerging deep learning methods, on the monitoring data of the Large sky Area Multi-Object fiber Spectroscopic Telescope (
Elastoplastic constitutive modeling under the complex loading driven by GRU and small-amount data

In this paper, a data-driven method to model the three-dimensional engineering structure under the cyclic load with the one-dimensional stress-strain data is proposed. In this method, one-dimensional stress-strain data obtained under uniaxial load and different loading history is learned offline by gate recurrent unit (GRU) network. The learned constitutive model is embedded into the general finite element framework through data expansion from one dimension to three dimensions, which can perform stress updates under the three-dimensional setting. The proposed method is then adopted to drive numerical solutions of boundary value problems for engineering structures. Compared with direct numerical simulations using the J2 plasticity model, the stress-strain response of beam structure with elastoplastic materials under forward loading, reverse loading and cyclic loading were predicted accurately. Loading path dependent response of structure was captured and the effectiveness of the proposed method is verified. The shortcomings of the proposed method are also discussed.
Erroneous use of Statistics behind Claims of a Major Solar Role in Recent Warming

In a study that attempted to relate solar and human activity to Earth's recent temperature change, Connolly et al. committed a basic error in the choice of statistical methods and so overreported the effect of the Sun. A major theme of their study was that there are many data sets of past solar activity, and some of these allegedly provide statistical evidence of "most of the recent global warming being due to changes in solar activity." We avoid methods that are known to give inaccurate results and show that for 1970-2005 Northern Hemisphere land the corrected solar attribution fraction is -7% to +5%, compared with values of up to 64% reported in Connolly et al. Their higher values are entirely due to mistaken application of statistics. Unfortunately, we cannot test truly "recent" global warming since most of their solar data sets end before 2015, and two finish in the 1990s, but all tested post-1970 periods show similarly small solar contributions. The solar-climate linkage is an area of fascinating and ongoing research with rigorous technical discussion. We argue that instead of repeating errors, they should be acknowledged and corrected so that the debate can focus on areas of legitimate scientific uncertainty.
Mapping of Compositional Diversity and Chronological Ages of Lunar Farside Multiring Mare Moscoviense Basin: Implications to the Middle Imbrian Mare Basalts

The Mare Moscoviense is an astonishing rare flatland multi-ring basin and one of the recognizable mare regions on the Moon's farside. The mineralogical, chronological, topographical and morphological studies of the maria surface of the Moon provide a primary understanding of the origin and evolution of the mare provinces. In this study, the Chandrayaan-1 M~3 data have been employed to prepare optical maturity index, FeO and TiO_2 concentration, and standard band ratio map to detect the mafic indexes like olivine and pyroxene minerals. The crater size frequency distribution method has been applied to LROC WAC data to obtain the absolute model ages of the Moscoviense basin. The four geological unit ages were observed as 3.57 Ga (U-2), 3.65 Ga (U-1), 3.8 Ga (U-3) and 3.92 Ga (U-4), which could have been formed between the Imbrian and Nectarian epochs. The M3 imaging and reflectance spectral parameters were used to reveal the minerals like pyroxene, olivine, ilmenite, plagioclase, orthopyroxene-olivine-spinel lithology, and olivine-pyroxene mixtures present in the gabbroic basalt, anorthositic and massive ilmenite rocks, and validated with the existing database. The results show that the Moscoviense basin is dominated by intermediate TiO_2 basalts that derived from olivine-ilmenite-pyroxene cumulate depths ranging from 200 to 500 km between 3.5 Ga and 3.6 Ga.
Prevalence and risk factors of cardiovascular diseases and psychological distress among female scientists and technicians

This study aimed to explore the prevalence and risk factors of cardiovascular disease (CVD) and psychological distress among female scientists and technicians in China. Accordingly, we included scientists and technicians from representative research institutions, medical institutions, colleges, universities, and businesses in China, and the data were collected from July 1, 2019 to March 31, 2021 via online questionnaires. The parameters evaluated in this study included age, sex, marital status, educational background, monthly income, sleep hours, sleep problems, smoking, alcohol consumption, work-related stress, work burnout, cardiovascular symptoms, CVD, family history, and depressive and anxiety symptoms. A total of 14 530 scientists and technicians were included, comprising 7144 men and 7386 women. We found 34.9% men and 16.6% women with CVD, 35.1% men and 21.4% women with depressive symptoms, 28.7% men and 13.8% women with anxiety symptoms, and 22.0% men and 9.5% women with CVD combined with depressive or anxiety symptoms. This study focused on the details of women. Younger women (age≤35 years) had the highest prevalence of depressive symptoms (24.9%), anxiety symptoms (16.2%), and comorbidity (11.2%). It was established that, despite traditional risk factors, unmanageable work burnout, depressive symptoms, and anxiety symptoms were associated with a higher risk of CVD in women; insomnia, overwhelming work stress, unmanageable work burnout, and CVD were linked to a higher risk of depressive symptoms and anxiety; insomnia, overwhelming work stress, and unmanageable work burnout were related to CVD combined with depressive or anxiety symptoms. A bidirectional relationship was noted between CVD and depression or anxiety in female scientists and technicians, and insomnia and overwhelming work stress were positively associated with comorbidity. It is suggested that effective measures should be taken to protect female scientists and technicians from CVD and psychological distress.
Numerical simulation of fracture propagation in Russia carbonate reservoirs during refracturing

Refracturing treatment is often performed on Russian carbonate reservoirs because of the quick production decline of reservoirs. The traditional refracturing model assumes that a refracture initiates in the normal direction relative to the initial hydro-fracture. This assumption is inconsistent with oilfield measurements of refracture propagation trajectories. Indeed, the existing model is not based on an indepth understanding of initiation and propagation mechanisms of the second hydraulic fractures during refracturing. In this study, we use the extended finite element method to investigate refracture propagation paths at different initiation angles. Both the enriched function approach and phantom mode technique are incorporated into the refracturing model, thereby ensuring that the refracture can freely extend on the structured mesh without any refinement near the crack tips. Key factors including production time, stress anisotropy and initiation angle, and the propped mechanical effect are analyzed in detail. This study provides new insight into the mechanism of refracture propagation in unconventional reservoirs.
Productivity enhancement in multilayered coalbed methane reservoirs by radial borehole fracturing

Coalbed methane (CBM) is an important unconventional natural gas. Exploitation of multilayered CBM reservoir is still facing the challenge of low production rate. Radial borehole fracturing, which integrates radial jet drilling and hydraulic fracturing, is expected to create complex fracture networks in multilayers and enhance CBM recovery. The main purpose of this paper is to investigate the mechanisms and efficacy of radial borehole fracturing in increasing CBM production in multiple layers. First, a two-phase flow and multi-scale 3D fracture network including radial laterals, hydraulic fractures and face/butt cleats model is established, and embedded discrete fracture model (EDFM) is applied to handle the complex fracture networks. Then, effects of natural-fracture nonuniform distribution are investigated to show the advantages of targeted stimulation for radial borehole fracturing. Finally, two field CBM wells located in eastern Yunnan-western Guizhou, China were presented to illuminate the stimulation efficiency by radial borehole fracturing. The results indicated that compared with vertical well fracturing, radial borehole fracturing can achieve higher gas/water daily production rate and cumulative gas/water production, approximately 2 times higher. Targeted communications to cleats and sweet spots and flexibility in designing radial borehole parameters in different layers so as to increase fracture-network complexity and connectivity are the major reasons for production enhancement of radial borehole fracturing. Furthermore, the integration of geology-engineering is vital for the decision of radial borehole fracturing designing scheme. The key findings of this paper could provide useful insights towards understanding the capability of radial borehole fracturing in developing CBM and coal-measure gas in multiple-thin layers.
Well production optimization using streamline features-based objective function and Bayesian adaptive direct search algorithm

Well production optimization is a complex and time-consuming task in the oilfield development. The combination of reservoir numerical simulator with optimization algorithms is usually used to optimize well production. This method spends most of computing time in objective function evaluation by reservoir numerical simulator which limits its optimization efficiency. To improve optimization efficiency, a well production optimization method using streamline features-based objective function and Bayesian adaptive direct search optimization (BADS) algorithm is established. This new objective function, which represents the water flooding potential, is extracted from streamline features. It only needs to call the streamline simulator to run one time step, instead of calling the simulator to calculate the target value at the end of development, which greatly reduces the running time of the simulator. Then the well production optimization model is established and solved by the BADS algorithm. The feasibility of the new objective function and the efficiency of this optimization method are verified by three examples. Results demonstrate that the new objective function is positively correlated with the cumulative oil production. And the BADS algorithm is superior to other common algorithms in convergence speed, solution stability and optimization accuracy. Besides, this method can significantly accelerate the speed of well production optimization process compared with the objective function calculated by other conventional methods. It can provide a more effective basis for determining the optimal well production for actual oilfield development.
Model-data-driven P-wave impedance inversion using ResNets and the normalized zero-lag cross-correlation objective function

Model-driven and data-driven inversions are two prominent methods for obtaining P-wave impedance, which is significant in reservoir description and identification. Based on proper initial models, most model-driven methods primarily use the limited frequency bandwidth information of seismic data and can invert P-wave impedance with high accuracy, but not high resolution. Conventional data-driven methods mainly employ the information from well-log data and can provide high-accuracy and highresolution P-wave impedance owing to the superior nonlinear curve fitting capacity of neural networks. However, these methods require a significant number of training samples, which are frequently insufficient. To obtain P-wave impedance with both high accuracy and high resolution, we propose a model-data-driven inversion method using ResNets and the normalized zero-lag cross-correlation objective function which is effective for avoiding local minima and suppressing random noise. By using initial models and training samples, the proposed model-data-driven method can invert P-wave impedance with satisfactory accuracy and resolution. Tests on synthetic and field data demonstrate the proposed method's efficacy and practicability.
Spectral Analysis and Long-time Asymptotics for the Coherently-coupled Nonlinear Schrodinger System

On the basis of the spectral analysis of the 4×4 matrix Lax pair, the initial value problem of the coherently-coupled nonlinear Schrodinger system is transformed into a 4×4 matrix Riemann-Hilbert problem. By using the nonlinear steepest decent method, the long-time asymptotics of the solution of the initial value problem for the coherently-coupled nonlinear Schrodinger system is obtained through deforming the Riemann-Hilbert problem into a solvable model one.
Wave Heave Compensation Based on An Optimized Backstepping Control Method

The vessel heave motion caused by wave action increases the difficulty of installing offshore wind equipment. Onboard wave heave compensation devices have therefore become increasingly critical in ensuring the stability and safety of the gangway and working platform. This study accordingly improves the compensation effect of such devices by developing a wave heave compensation model and designing an optimized backstepping control method. First,a model of the compensation system including the servo motor and electric cylinder is established by using the mechanism method. Second,a backstepping control method is designed to track the vessel heave motion,and particle swarm optimization is applied to optimize the control parameters. Finally,MATLAB/Simulink is used to simulate the application of the optimized backstepping controller,then regular and irregular heave motions are applied as input to a Stewart platform to evaluate the effectiveness of the control method. The experimental results show that the compensation efficiency provided by the proposed optimized backstepping control method is larger than 75.0%.
Upper Bound Solution of the Resisting Moment Bearing Capacity of A Composite Bucket Shallow Foundation of An Offshore Wind Turbine in Sand

Bearing the large moment that is generated by the wind load that acts on the upper structure of offshore wind turbines is an important feature of their foundations that is different from other offshore structures. A composite bucket shallow foundation(CBSF)has been proposed by Tianjin University to address the soft geological conditions in the offshore regions of China for wind turbines. The CBSF is a new type of foundation and is effective against large moments. The soil deformation test of a CBSF and the numerical simulation study under the same working conditions are carried out to determine the failure mechanism of a CBSF under moment loading. The resisting soil compression rate η_m is defined as a new empirical parameter that indicates the ability of the soil inside the bucket to resist moment loading. The upper limit of the resisting moment bearing capacity of the bucket foundation is derived through the upper bound theorem of classical plasticity theory based on the failure mechanism. The calculation method is validated by tests of bucket models with different height-diameter ratios in sand under moment loading.