bluuebunny/crossref_metadata_2025_split huggingface dataset:
A computational model of insect campaniform sensilla predicts encoding of forces during walking
Authors: Szczecinski Nicholas S , Dallmann Chris J , Quinn Roger D , Zill Sasha N 
Published: August 2021

Abstract
Control of forces is essential in both animals and walking machines. Insects measure forces as strains in their exoskeletons via campaniform sensilla (CS). Deformations of cuticular caps embedded in the exoskeleton excite afferents that project to the central nervous system. CS afferent firing frequency (i.e. ‘discharge’) is highly dynamic, correlating with the rate of change of the force. Discharges adapt over time to tonic forces and exhibit hysteresis during cyclic loading.
In this study we characterized a phenomenological model that predicts CS discharge, in which discharge is proportional to the instantaneous stimulus force relative to an adaptive variable. In contrast to previous studies of sensory adaptation, our model (1) is nonlinear and (2) reproduces the characteristic power-law adaptation with first order dynamics only (i.e. no ‘fractional derivatives’ are required to explain dynamics). We solve the response of the system analytically in multiple cases and use these solutions to derive the dynamics of the adaptive variable. We show that the model can reproduce responses of insect CS to many different force stimuli after being tuned to reproduce only one response, suggesting that the model captures the underlying dynamics of the system. We show that adaptation to tonic forces, rate-sensitivity, and hysteresis are different manifestations of the same underlying mechanism: the adaptive variable. We tune the model to replicate the dynamics of three different CS groups from two insects (cockroach and stick insect), demonstrating that it is generalizable. We also invert the model to estimate the stimulus force given the discharge recording from the animal. We discuss the adaptive neural and mechanical processes that the model may mimic and the model’s use for understanding the role of load feedback in insect motor control. A preliminary model and results were previously published in the proceedings of the Conference on Biohybrid and Biomimetic Systems.
Fluid–structure interaction analysis on motion control of a self-propelled flexible plate near a rigid body utilizing PD control
Authors: Luo Yang , Wright Marvin , Xiao Qing , Yue Hong , Pan Guang 
Published: August 2021

Abstract
Inspired by a previous experimental study of fish swimming near a cylinder, we numerically investigate the swimming and station-holding behavior of a flexible plate ahead of a circular cylinder whose motion is controlled by a proportional–derivative (PD) controller. Specifically, the deformation of this two-dimensional plate is actuated by a periodically varying external force applied on the body surface, which mimics the fish muscle force to produce propulsive thrust. The actuation force amplitude is dynamically adjusted by a feedback controller to instruct the plate to swim the desired distance from an initial position to a target location and then hold the station there. Instead of directly using the instantaneous position signal, an average speed measured over one force actuation period is proposed with the inclusion of instantaneous position information to form the tracking error for the PD control. Our results show that the motion control of swimming and station holding has been achieved by this simple but effective feedback control without large overshoot when approaching the target at different flow conditions and actuation force formulas. Although the swimming distance remains the same, a plate whose initial position is closer to the cylinder requires less energy expenditure to swim to the target location and hold the station there. This is because the low-pressure zone near the trailing edge of the plate is reduced in size, which provides drag reduction, contributing to reduced swimming energy. A higher Reynolds number also leads to energy savings. Under the same control strategy, the swimming performance is more affected by the force-frequency while the phase shift of the actuation force has a less significant impact.
The role of enhanced rock weathering deployment with agriculture in limiting future warming and protecting coral reefs
Authors: Vakilifard Negar , Kantzas Euripides P , Edwards Neil R , Holden Philip B , Beerling David J 
Published: August 2021

Abstract
Meeting the net-zero carbon emissions commitments of major economies by mid-century requires large-scale deployment of negative emission technologies (NETs). Terrestrial enhanced rock weathering on croplands (ERW) is a NET with co-benefits for agriculture, soils and ocean acidification that creates opportunities for generating income unaffected by diminishing carbon taxes as emissions approach net-zero. Here we show that ERW deployment with croplands to deliver net 2 Gt CO2 yr−1 removal approximately doubles the probability of meeting the Paris 1.5 °C target at 2100 from 23% to 42% in a high mitigation Representative Concentration Pathway 2.6 baseline climate. Carbon removal via carbon capture and storage (CCS) at the same rate had an equivalent effect. Co-deployment of ERW and CCS tripled the chances of meeting a 1.5 °C target (from 23% to 67%), and may be sufficient to reverse about one third of the surface ocean acidification effect caused by increases in atmospheric CO2 over the past 200 years. ERW increased the percentage of coral reefs above an aragonite saturation threshold of 3.5 from 16% to 39% at 2100, higher than CCS, highlighting a co-benefit for marine calcifying ecosystems. However, the degree of ocean state recovery in our simulations is highly uncertain and ERW deployment cannot substitute for near-term rapid CO2 emissions reductions.
Machine learning to optimize climate projection over China with multi-model ensemble simulations
Authors: Li Tong , Jiang Zhihong , Treut Hervé Le , Li Laurent , Zhao Lilong , Ge Lingling 
Published: August 2021

Abstract
The multi-model ensemble approach is generally considered as the best way to explore the advantage and to avoid the weakness of each individual model, and ultimately to achieve the best climate projection. But the design of an optimal strategy and its practical implementation still constitutes a challenge. Here we use the random forest (RF) algorithm (from the category of machine learning) to explore the information offered by the multi-model ensemble simulations within the Coupled Model Intercomparison Project Phase 6. Our objective is to achieve a more reliable climate projection (mean climate and extremes) over China. RF is furthermore compared to two other ensemble-processing strategies of different nature, one is the basic arithmetic mean (AM), and another is the linear regression across the ensemble members. Our results indicate that RF effectively enhances the capability in capturing spatial climate characteristics. Regions with complex topography, such as the Tibetan Plateau and its periphery, show the most significant improvements. RF projects less future warming but enhanced wet conditions across China. It also produces larger spatial variability and more small-scale features. The most obvious increase of precipitation is in the northern part and the periphery of the Tibetan Plateau. The projected changes in RF for strong precipitation are almost twice higher than in AM, while in the northwestern area, weaker increases of precipitation are projected by RF, which indicates larger spatial inhomogeneity of its projection.
Multi-criteria choice of the software package architecture for automating the analysis of the forest vegetation state
Authors: Potryasaev S A , Pimanov I Y , Semenov A E 
Published: August 2021

Abstract
The article describes a method for solving the problem of choosing the architecture of a software package (SP) of an information system for analyzing the state of forest vegetation, carried out using distributed information resources and calculation modules which usually belong to various organizations. The SP quality indicators can be assessed using both quantitative and qualitative scales. The proposed method is based on the joint application of the mathematical apparatus of the fuzzy sets and experimental design theories. It is shown that the predominant type of architecture for this class of tasks is the service-oriented architecture, which provides the best value of the integral indicator of the SP quality.
Airborne remote sensing for forest inventory attributes assessment: experience of Flying Laboratory of Imaging Systems (FLIS) in the Czech Republic
Authors: Brovkina O , Hanuš J , Novotný J 
Published: August 2021

Abstract
The paper contributes to the recent studies for forest inventory attributes assessment from airborne data using experience of Flying Laboratory of Imaging Systems (FLIS).The advanced methods of airborne hyperspectral and laser scanning data processing are summarized to demonstrate the applicability of FLIS in assessment of forest inventory attributes for tree and plot levels in selected forest areas in the Czech Republic. Specifically, assessments of tree height, tree position, crown base, crown width, aboveground biomass, species composition, dead trees, and health status are presented.
Effect of the structure of wood on the results of ultrasound
Authors: Fedyaev A A , Chubinsky A N , Batireva I M , Sokolova E G , Kovalenko I V 
Published: August 2021

Abstract
In article defined the influence of wood density and angle of annual rings on the deviation angle of the ultrasonic (US) signal (beam) by using the through transmission method of sounding wood. For achieving most-reliable control of glued structures, the requirements for the size of transducers were formulated.
Application of laser technologies in remote sensing of forest areas
Authors: Karmanov A G , Karmanova N A , Hegai D K , Vagizov M R 
Published: August 2021

Abstract
The article presents two methods of laser technologies application in remote sensing of forest areas: holographic synthesis of stereoscopic image based on remote sensing dataand airborne laser scanning. Both methods are required to obtain data for forest inventorycalculating.
Precipitation forecast based on the Bayesian Network
Authors: Khabarov S P , Shilkina M L , Vasiliev N P 
Published: August 2021

Abstract
The purpose of the article is to consider an alternative approach to the forecasting meteorological events by using expert systems based on the Bayesian network (belief network). Also there is an example of building a Bayesian network capable to predict a type and a probability value of precipitation, with implementation it in the HUGIN software, considered in the article. The conclusion considers the positive and negative aspects of the presented approach.
Blockchain –killer of illegal wood
Authors: Lobovikov M , Pryadilina N , Scherbak I 
Published: August 2021

Abstract
Distributed Ledger Technology (DTL) is a leading technologies in the current “digital revolution”. The new technology is a real boon for the national forest sector. It may bring the Russian forest sector to the forefront of competitiveness and efficiency. However, the internal shortcomings, dangers, and threats of the new technology should be timely studied and eliminated. The “digit” is as strong as nuclear power. It is able to bestowhumanity or cause a global catastrophe if mishandled andmistreated. This fully applies to the forestry sector.
SWOT matrix analysis of the enhancing the effectiveness of education in the context of digitalization
Authors: Mushkarova O , Mikheeva M , Nefedova I , Chepic F , Vasiliev S 
Published: August 2021

Abstract
The article discusses the opportunities and threats of distance education in order to form the full scale competencies of the students. Based on the results of the study, the reasoning of the application of the most effective rational techniques, teaching methods based on digital technologies in the offline learning mode is given.
The dependence of delivery capacity of log trucking industry research by means of simulation modelling
Authors: Rukomojnikov K , Mokhirev A , Medvedev S , Ivshina A , Lyshko A 
Published: August 2021

Abstract
Dependence of delivery capacity of log trucking industry research by means of simulation modelling results are described in this article. In this research article the significance of logging industry development are grounded. Delivery capacity of log trucking and development of quality of forest infrastructure are marked as key problems in improvement of the forest industry effectiveness. The main research method is simulation modeling, by means of which theoretic models that help to evaluate the delivery capacity are devised. The factors which affect on capacity were also analyzed. The results were approbated by the example of logging operations in Krasnoyarskiy region.
Synergetics of subject-object interactions in the context of the digital paradigm
Authors: Tatarenko V N , Melentieva N I , Polyanskaya O A , Schaitarova O E , Tereshchenko S V 
Published: August 2021

Abstract
Digitalization, which has already penetrated almost all spheres of human life (for all the conventionality and even controversy of this term), which was the result of intensive, potently increasing changes, the beginning of which can be attributed to the time of the appearance of the first computers (1940s–1950s), today has reached such a scale and influence that, in fact, has already become a part of us. As the level of “intellectualization” of digital systems developed and increased, conditions were gradually created for the human world to actively “mix” with the world of technology. We currently live in a new paradigm, i.e. in a new, digital civilization, and it is obvious that digitalization and digital technologies are the main paradigm-forming factor of this new system of life.
Allometric models of Picea spp. biomass for airborne laser sensing as related to climate variables
Authors: Usoltsev V , Kovyazin V , Tsepordey I , Zalesov S , Chasovskikh V 
Published: August 2021

AbstractOver the past two decades, active airborne laser sensing technology has been intensively used to scan the forest cover, providing such morphometric indicators of trees as the width and projection area of the crown, the height of the tree. The author’s database of harvest data of 1550 model trees of genusPiceaspp. of Eurasia is used in the work. Allometric models of biomass components, including the crown width, tree height, winter temperatures and precipitation as independent variables, are designed. The biomass of all components of equal-sized trees is described by the propeller-shaped 3D picture. In cold regions, when precipitation increases, the biomass decreases, but as one moves to cold regions, it is characterized by an opposite or neutral trend. As the temperature increases in humid regions, the biomass increases, but as the transition to dry conditions begins to decrease.
Application of ensemble machine learning methods for modeling the heights of individual forest elements based on inventory data processing
Authors: Vagizov M , Potapov A , Navalikhin S , Bakeyeva A , Stepanov S 
Published: August 2021

Abstract
Machine learning techniques open up new opportunities for research, analysis and can be obtained from forest inventory. Ensemble machine learning methods contain several alternative learning models for predicting characteristics and improving the analysis efficiency of processed data. One of the goals of inventory data analysis is to model heights for individual forest elements, which will allow to build the most accurate models of forest stands growth.
Use of data mining methods in planning and management at Russian wood enterprises
Authors: Zakharenkova I A , Belyaeva T P , Igotti I N , Terenteva T O 
Published: August 2021

Abstract
The purpose of this article is to disclose utilization capacity of the Data Mining method for data mining (DM) at Russian wood enterprises. The authors provide a rationale for use cases of the data mining technology – a combination of mathematical tools and recent developments in the technology industry –for the purpose of efficient system planning and management. On the basis of researches previously conducted by the authors, a list of problems and tasks is provided by the areas of activities of wood enterprises, resolved through the use of Data Mining methods.DM significance and relevance have been emphasized with regard to adoption of efficient managerial decisions in the area of production at Russian wood enterprises.
The calculation of the parameters of disc-shaped hydraulic fracturing crack propagating in hard rock roofs of a coal seam near the in-seam working
Authors: Cherdantsev N V 
Published: August 2021

Abstract
The model of geomechanical state of the disc-shaped hydraulic fracturing crack that propagates in hard rocks near the in-seam working was developed. The peculiarity of the model is in non-homogeneous stress field which is conditioned by the presence of the working. This field plays an important role in calculating the trajectory of the crack propagation and under certain conditions it drastically changes the direction of the initial crack. The problem of the rock massif stress state in the vicinity of the in-seam working is narrowed to the second exterior boundary value problem of the elasticity theory for integrated singular equation. It can be reached by substituting limit stress coal seam marginal zones by their acting stresses. Analyzing the results it is defined that when the ratio of the working liquid pressure to the gravitational hard rock pressure equals four units the trajectory of the crack is linear and coincides with the direction of the initial crack. If the ratio of the working liquid pressure to the gravitational pressure changes from three to four units the trajectory of the crack looks as a gently sloping curve that insignificantly changes its direction towards the initial crack.
Determination of filtration properties of coal seams during mine measurements
Authors: Tailakov O V , Utkaev E A , Makeev M P 
Published: August 2021

Abstract
A brief analytical review about the issue status on monitoring the filtration properties changes of a coal rock massif under the influence of hydrodynamic impact, undertaken with the purpose to stimulate gas recovery from coal seams, is given. The necessity of improving methods and equipment used to determine the near borehole zone permeability is substantiated. The design features of a device designed to connect an electronic pressure gauge to a borehole to provide continuous monitoring of pressure fluctuation in horizontal degasification wells during injection tests are presented. The results of coal seams permeability measuring undertaken in conditions of Kuzbass mines are presented and discussed.
Management of maintenance service and repair of heavy-duty mining equipment during its adaptation to the working conditions by the company Minetech Machinery LLC, official dealer of HITACHI
Authors: Bulakina E N , Nedzelskaya O N , Bikineeva A N , Moiseev V V , Pochufarov D O , Ketov A V 
Published: August 2021

Abstract
Mining industry is one of the main industries that determine the country’s energy sovereignty. This paper presents the study of the effectiveness of organizational and managerial decision making by a separate subdivision of Minetech Machinery LLC which is an official dealer of mining equipment Hitachi in the Russian Federation. The main indicator of the operational efficiency of heavy mining machines is the technical-preparedness factor of the equipment. The manufacturer recommends to carry out preventive maintenance and repairs on time for a trouble-free service of Hitachi mining equipment.
On the use of compensators in electric networks of mining enterprises
Authors: Malafeev S I , Malafeev S S 
Published: August 2021

Abstract
The electric power processes in the electric networks of the quarries during the work of excavators with various electric drive systems are considered. In the conditions of power supply of excavators from long cantilever lines, constantly changing network topology and a very uneven load schedule, an urgent task is to ensure the quality of electricity at the consumers’ inlets. Fluctuations and voltage deviations adversely affect the operation of excavators, the reliability and durability of electrical equipment, the functioning of protection, etc. Therefore, to effectively use the energy resource, it is necessary to use a set of methods and means aimed at reducing voltage and power losses in power networks, improving the quality of electricity and providing electromagnetic compatibility. Improving the efficiency of power supply to mining machines is provided by regulating the voltage and flow of reactive energy. The features of the use of fast-acting reactive power compensators to maintain the quality of electricity in quarry networks are considered.
Conditions for a start of sudden coal and gas outbursts in the breakage faces of coal mines
Authors: Zykov V S , Ivanov V V 
Published: August 2021

Abstract
Theoretical studies of the conditions of a start of sudden coal and gas outbursts in the breakage faces of coal seams were carried out and, as a result, expressions for the gradients of the active and passive forces of a sudden outburst were obtained. Their ratio makes it possible to determine the potential for the occurrence of this gas-dynamic phenomenon by the calculation method. On this basis, by means of mathematical transformations, a structural indicator was obtained, which allows the real outburst hazard of the coal mass to be directly monitored at the face, using operational methods for instrumental determination of the parameters characterizing its gas-dynamic state.
Investigation of the jaw crusher operation with backlash eliminators
Authors: Nikitin A G , Abramov A V , Bazhenov I A , Dorofeev V V 
Published: August 2021

Abstract
The condition for the appearance of additional dynamic forces in the presence of gaps in the journal bearings of the jaw crusher is determined. The design of the backlash eliminator equipped with pneumatics is described. It was experimentally established that the use of pneumatic devices for backlash elimination in the interfaces of the moving links, using journal bearings, during the operation of the jaw crusher, reduce the magnitude of accelerations and, therefore, increase the reliability of the crusher as a whole.
Analysis of effective tools for modeling mining and geological processes
Authors: Beliy A M , Pavlova L D , Fryanov V N 
Published: August 2021

Abstract
In modern conditions, modelling of production processes in various industries is not only a highly effective means of planning and visualizing the activities of an enterprise, but also an urgent scientific task. Modern modelling tools allow a wide range of scientific and applied research to be carried out to help plan the activities of the enterprise and identify new ways to gain competitive advantage. The modelling process itself is performed in specialized software packages with a wide range of capabilities.