bluuebunny/crossref_metadata_2025 huggingface dataset:
Driver activity recognition using spatial‐temporal graph convolutional LSTM networks with attention mechanism
Authors: Pan Chaopeng , Cao Haotian , Zhang Weiwei , Song Xiaolin , Li Mingjun
Published: December 2020

Driver activity engagement while driving plays a vital role that leads to negative outcomes of driving safety. To reduce traffic accidents and ensure driving safety, real‐time driver activity recognition architecture is proposed in this study. Specifically, a total of eight kinds of common driving‐related activities are identified, which include the normal driving, left or right checking, texting, answering the phone, using media, drinking, and picking up objects. Raw experiment videos are collected via onboard monocular cameras, which are used for the upper body skeleton information extraction of the driver. Then, the graph convolutional networks (GCN) are constructed for spatial structure feature reasoning in a single frame, which is consecutively followed by long short‐term memory (LSTM) networks for temporal motion feature learning within the sequence. Moreover, the attention mechanism is further utilised to emphasise the keyframes to select discriminative sequential information. Finally, a large‐scale driver activity dataset, consisting of both naturalistic driving data and simulative driving data, is collected for model training and evaluations. Experimental results show that the general recall ratio of those eight driving‐related activities reaches up to 88.8% and the real‐time recognition efficiency can reach up to 24 fps, which would satisfy the real‐time requirements of engineering applications.
Mathematics for logical computer-aided analysis of decisions in agromarketing
Authors: Kulik Boris , Fridman Alexander
Published: December 2020

Collecting data on possible solutions and comparing them should be an integral part of any research in agromarketing. Publications on this topic offer a number of quantitative methods for carrying out such an analysis, but their reliability depends significantly on the accuracy of the initial data, which is usually low. This article describes a logical framework for detecting uncertainties, inconsistencies, and contradictions in the information regarding possible decisions with using our previously developed n-tuple algebra. In our opinion, this allows to computerize an important part of planning tasks in agromarketing and provides good means to objectify and enrich results of any analysis of decision options.
Growth dynamics of tomato fruits as a main indicator of a phytomonitor
Authors: Sleptsov Yuri , Bogdanova Varvara , Vorobyev Mikhail
Published: December 2020

The study of the growth dynamics of tomato fruits in greenhouses using a phytomonitor, in particular, a fruit growth sensor, shows indicators that are invisible to the human eye. Their dynamics during the day and throughout the entire period of fetal development, starting from a size of 2.7 cm to removable maturity and redness in a graphical form, allows you to quickly identify a slowdown in growth, quickly find a limiting factor and reveal the influence on the growth rate of factors such as brush rationing and cleaning other fruits in it. It must be said that the use of a phytomonitor in practice requires high qualifications of an agronomist. And if the farm does not have a sufficiently high level of agricultural technology or the staff does not know how to use the indicators of sensors, there is no point in looking for a limiting factor. For this reason, in the greenhouses of Corporation “Kombinat Teplichny” (Kiev region, the village of Kalinovka), after several years of use, they abandoned the phytomonitor, which did not recoup the funds invested in it. For Ukraine, it remains exotic, therefore, the article contains an extended description of the phytomonitor.
Selection of dairy cattle for mastitis resistance by somatic milk cells as a system of biological protection against lacteous gland diseases
Authors: Bolgov Anatoly , Komlyk Irina , Grishina Natalia
Published: December 2020

The problems of methodology and organization of selection of dairy cattle for resistance to mastitis by somatic cells of milk were studied. The necessity is justified and the procedure for converting the number of somatic cells (NSC) into a points score (PSNSC) is presented. The article provides evidence of the correspondence of the cows distribution curve by points for NSC to the Gauss curve, which is a sufficient reason to consider the NSC points score as a biometrically correct objective selection trait. Procedures for determining the indices of breeding value of bulls and their breeding categories by somatic cells in points are proposed. Requirements for the level of resistance in the cows and bulls selection are developed. The most resistant to mastitis are cows with a score of 3.9 points or less, and bulls with a breeding value index of -1.012 or less.
Productivity and blood composition indicators of ram lambs during fattening with the use of oil-plant seeds in diets
Authors: Varakin A.T. , Kulik D.K. , Zoteev V.S. , Simonov G.A. , Golovatyuk O.V.
Published: December 2020

The objective of the research was to study the effectiveness of inclusion of Camelina cake, which belongs to low-glucosinolate varieties, in the diets instead of sunflower cake on the productivity of fattened ram lambs. According to the results of a laboratory study, compared with sunflower cake, Camelina cake had a higher content of dry and organic matter, “crude” fat, “crude” fiber, nitrogen-free extractives, and there were practically no differences in “crude” protein. Scientific and economic experience was organized with the use of ram lambs of the Volgogradskaya breed. Physiological studies were carried out in conjunction with the scientific and economic experience with the use of animals in this experiment. At the end of the experiment, at the age of 8 months, the ram lambs of the experimental group, using Camelina seed cake in the main diet, had a higher average live weight by 1.43 % than in the control, when using sunflower cake in the diet. In physiological studies, it was found that the animals in the experimental group digested and used the nutrients of the diet better than the young animals from the control group. Blood counts of both groups of ram lambs were normal. Control slaughter of sheep, conducted on the basis of research, showed that on average in the experimental group, the weight indicators increased: pre-slaughter, hot carcass, internal fat, slaughter, and slaughter yield, respectively, by 1.52; 1.69; 2.63; 1.74 and 0.10% than in the control. In terms of profitability, fattening animals in the experimental group was 7.8% more efficient than in the control group.
The assessment of the efficiency of the plant growth regulator “Cresolan” on grain crops
Authors: Ermakov S.A. , Mankov A.V. , Minukhin L.A. , Muratov Yu.R. , Coparulina A.E.
Published: December 2020

The article examines the regulators of plant growth and development, their properties and influence on living organisms. The new evaluated preparation with the trade name “Cresolan” was studied and tested at the central experimental field at the “Uralets”, the educational farm of the Ural State Agrarian University. Various doses, periods, methods of use, combinations and its comparison with other similar preparations were studied (the experimental tests were carried out on spring wheat of the “Iren” variety and barley of the “Ecolog” variety). The spring wheat and barley plants showed great responsiveness to the preparation. According to the research results, a significant increase in the productivity and resistance of the studied grain crops was revealed, due to the increasing adaptive abilities of plants to the effects of unfavorable environmental factors. It was also concluded that it is necessary to generalize the material and to study some more issues for the development of an adapted technology of application of the plant growth and development regulator “Cresolan”, which ensures stable efficiency.
Competitive ability of grain-forage varieties of spring vetch when grown in a mixture with rapeseed
Authors: Bezgodov A.V. , Galimov K.A. , Akhmetkhanov V.F.
Published: December 2020

The object of the research is to study the influence of the method of growing mown and grain-forage varieties of spring vetch in mixed crops with spring rapeseed on the seed yield and crop structure. Indicators that characterize productivity, intensity of arable land use, competitiveness and aggressiveness of crops are considered. Sowing spring vetch with a seeding rate of 1.3, 0.8, 0.6 and 0.4 million germinating seeds per hectare mixed with rapeseed leads to the formation of a grain crop that significantly exceeds the yield for single-species vetch sowing. Evaluation of Land Equivalent Ratio (LER) shows that when using vetch-rapeseed crops, the productivity of 1 ha of arable land increases from 1.38 to 1.98 times, while both the influence of varietal specificity and the seeding rate of the legume component is manifested. The efficiency of arable land use increases due to the interaction of both crops and increasing their competitiveness in the agrocenosis. In the conditions of the Middle Urals, high efficiency of vetch cultivation in mixed crops with rapeseed was revealed, and the influence of changes in the seeding rate on the yield of spring vetch seeds was established.
Regional features of agriculture development of the Republic of Sakha (Yakutia)
Authors: Fedorova Ekaterina , Fedorova Paraskovya
Published: December 2020

The article reveals development peculiarities of agriculture in the Republic of Sakha (Yakutia). The most important factor determining the social and economic development of Yakutia including agricultural sectors is its location in the Far North. In this regard, the main problems of regional agro-food complex development are studied, being the conduct of agricultural production in harsh natural and climatic conditions, seasonal nature of production, weak logistics and transport infrastructure, the complexity of agricultural producers to markets. The volume of gross regional product production per capita was analyzed. The main indicators of republican agriculture, as well as indicators of self-sufficiency level of basic agricultural products in Yakutia were considered. As a result of the study, the main specific features of agriculture development of the studied region were revealed.
Estimation of the efficiency of synthetic fertilizers in intensifying agricultural production
Authors: Gusev Andrey
Published: December 2020

Sustainable growth in agricultural production should be based on the processes of intensification of agricultural production. Unfortunately, the concept of “intensification” has been forgotten in the post-reform period, but the processes taking place in the industry indicate the opposite. Practice shows that many elements and signs of intensification are present to a greater extent in a market economy. Modern agricultural production is based on a farming system, a component of which is a system of mineral nutrition for agricultural crops. Chemicalization, as an element of intensification, is a key factor in increasing yields, profit and profitability of production. Significant financial resources of enterprises are invested into this direction. The peculiarity of the current level of development of the industry is that the prospects for the development of crop raising should be focused on optimizing the proportions of mineral nutrition that do not violate the natural and ecological balance, which implies the cultivation of ecologically clean agricultural products. It is proposed to assess the effectiveness of the chemicalization process by the coefficient (indicator) of the level of return of mineral fertilizers by agricultural products.
Personnel-marketing as a direction of development of personnel agricultural complex
Authors: Yadransky Dmitry , Latypov Rinat , Chumak Elena
Published: December 2020

The article considers the ambivalence of personnel marketing as a modern management technology that allows balancing on the principles of the mutual agreement the interests of employers and employees in a situation of choice in the segment of the labor market. The problem of the article lies in the need to search for tools to effectively build (develop) the labor market of agricultural enterprises. Personnel marketing technologies are proposed as tools. Research methods are: methods of theoretical generalization, logical modeling, induction, and other general scientific methods. The article defines the main directions and mechanisms for the development of personnel marketing as a modern social management technology that ensures the tactical and strategic development of company personnel. The possibility of promoting the attractiveness of jobs at agricultural enterprises through the use of external and internal tools of personnel marketing is being considered.
Development of an express method for the quantitative assessment of the contamination of wheat flour with Bac. spores. subtilis
Authors: Zavorohina Natalia V. , Pankratyeva Natalia A. , Goncharova Nadezhda A.
Published: December 2020

The causative agent of potato bread disease (Bacillus subtilis, ssp. Mesentericus) develops in the crumb of wheat bread. To prevent potato disease of bread, it is necessary to control raw materials and finished products in order to identify their microbiological contamination. Various methods can be used to determine the presence of bacteria that cause potato bread disease. These methods are usually subdivided into four groups: 1) bacteriological; 2) technological; 3) biochemical and 4) physical. Within the framework of all four groups of methods, there is no single method for analyzing the detection of pathogens of potato disease in bread, which would be easily reproduced in any laboratory and would have a correct assessment of the results.At the Department of Nutrition Technology of the Ural State University of Economics, an express method for the colorimetric determination of the contamination of wheat flour with Bac spores has been developed. subtilis by the content of erythrodextrins in it, which give a reddish-brown color when interacting with iodine solution. The advantages of the improved method for determining the potato disease of bread include: speed and rapidity; the possibility of both qualitative and quantitative determination of Bac. subtilis in flour to predict the occurrence of potato bread disease in wheat flour bread.
Endoluminal Vacuum Therapy for Iatrogenic Perforation of the Proximal Esophagus—Case Report of a Patient with Esophageal Involvement in Pemphigus Vulgaris
Authors: Wächter Sabine , Schiffmann Leif , Denzer Ulrike W.
Published: December 2020

Pemphigus vulgaris (PV) is a rare autoimmune disease affecting the skin and mucous membranes. Recent studies have shown a relatively high incidence of esophageal involvement in PV. To distinguish between the esophageal involvement of PV and other pathologies, early endoscopic evaluation is essential to obtain tissue for histological analysis. Here, we present the first case of endoluminal vacuum therapy (EVT) for a patient with esophageal involvement in PV and with associated iatrogenic perforation of the proximal esophagus. In comparison to classical treatment options for perforations of the proximal esophagus consisting of either stent insertion or surgical intervention, EVT seems to be a promising alternative with a good clinical outcome.
Low-temperature studies of Cr3+ ions in natural and neutron-irradiated g-Al spinel
Authors: Mironova-Ulmane N. , Popov A. I. , Krieke G. , Antuzevics A. , Skvortsova V. , Elsts E. , Sarakovskis A.
Published: December 2020

Original results on the EPR and photoluminescence Cr3+ ions in natural magnesium aluminum spinel (MgAl2O4) are presented. The photoluminescence spectra of Cr3+ ions in natural MgAl2O4 have been measured before and after irradiated by fast neutrons.
Selection for increased visual muscling increases carcass leanness without compromising predicted Meat Standards Australia eating-quality index
Authors: Walmsley B. J. , Cafe L. M. , Wilkins J. F. , McPhee M. J.
Published: December 2020

Context
Selection using visual muscle score (MS) has been proposed to increase carcass leanness (i.e. meat yield), without compromising eating quality.

Aims
The aim of the present study was to examine the impact that selection for divergent MS has on live animal, commercial carcass and carcass tissue weights by using computed tomography (CT) including Meat Standards Australia (MSA) index-predicted eating quality.

Methods
Data from 67 steers originating from three muscling lines, namely, low, high and heterozygous high (HighHet – heterozygous for the 821 del11 myostatin mutation), were used. Visual MS was assessed on all steers. All steers were slaughtered and the left-hand side of each carcass was processed with fat trimming limited to only that required for hygiene purposes and kidney fat was not removed. All carcasses were MSA graded and then boned-out into untrimmed boneless primals (e.g. rump, cube roll). A CT scan of each beef primal was processed with image analysis software to estimate lean and fat tissue weights. The following traits were analysed: MS, weaning and slaughter weights; commercial carcass traits, including cold carcass weight, rump fat, MSA rib fat, MSA eye-muscle area, MSA marble score and MSA index; and CT-scanned compositional carcass traits, including lean, fat and bone tissues (%) and lean:bone ratio. All data were analysed with a linear mixed-effects model using REML. Least-squares means for the three muscling lines are reported. Linear trends between MS and seven carcass traits, with and without the myostatin mutation, are presented graphically.

Key results
Muscling line effects (P < 0.05) were found for visual MS and carcass traits. Linear trends between MS and carcass traits with and without the myostatin mutation demonstrate that increases in MS (P = 0.24) did not compromise predictions of MSA index even though MSA marble score decreased (P = 0.026), but myostatin decreased MSA marble score and tended to decrease MSA index (P = 0.097). Increases in the MSA eye-muscle area were associated with increases in MS (P < 0.01), with little effect of myostatin. Increases in MS and the myostatin mutation were both associated with increases (P < 0.01) in lean tissue (%) and the lean:bone ratio, and decreases (P = 0.02) in fat tissue (%).

Conclusions
The results indicate selection for high MS can be used to increase carcass yield, without negatively affecting MSA index predictions of eating quality.

Implications
Producers can use MS to identify animals with higher yields to increase carcass leanness and decrease carcass waste fat, without compromising MSA index predictions of eating quality, but should do so while considering all traits that affect profitability, in particular marble score and its association with eating quality.
Repeat prescribing policy in New Zealand general practice: making it better
Authors: Lillis Steven , Lack Liza
Published: December 2020

ABSTRACT
INTRODUCTIONRepeat prescribing is common in New Zealand general practice. Research also suggests that repeat prescribing is a process prone to error. All New Zealand general practices have to comply with requirements to have a repeat prescribing policy, with the details of the policy to be designed by the practice.
AIMTo inform the development of practice policy, research was undertaken with experienced general practitioners to identify and mitigate risk in the process.
METHODSAt the 2019 annual conference of the Royal New Zealand College of General Practitioners, a workshop was held with 58 experienced general practitioner participants. The group was divided into six small groups, each with the task of discussing one aspect of the repeat prescribing process. The results were then discussed with the whole group and key discussion points were transcribed and analysed.
RESULTSIssues identified included: improving patient education on appropriateness of repeat prescribing; having protected time for medicine reconciliation and the task of repeat prescribing; reducing the number of personnel and steps in the process; and clarity over responsibility for repeat prescribing.
DISCUSSIONThis research can inform the local development of a repeat prescribing policy at the practice level or be used to critique existing practice policies. Attention was also drawn to the increasing administrative burden that repeat prescribing contributes to in general practice.
Eriobotrya japonica (loquat).
Authors: Rojas-Sandoval Julissa
Published: December 2020

Eriobotrya japonica is a perennial tree species that has been widely grown as an ornamental tree and for its sweet, edible fruits. Mammals and birds feed on the fruit and disseminate the seeds into the wild, facilitating the establishment of new plants in areas outside cultivation. Once established, this species has the potential to form tall stands that replace native vegetation. Currently it is listed as invasive in the Mediterranean region, Australia, New Zealand, Réunion, Hawaii, Chile, Galapagos Islands, Trinidad and Tobago and South Africa.
Ixora finlaysoniana (white jungle flame).
Authors: Caraballo-Ortiz Marcos A.
Published: December 2020

Ixora finlaysoniana is native to China, India and parts of Indochina. Across the tropics it is also commonly cultivated as an ornamental tree or shrub, mainly restricted to gardens and urban areas. It has the potential to spread long distances through trade as an ornamental, however natural dispersal is thought to occur only over short distances. Currently, I. finlaysoniana is only reported as invasive in Cuba and no information is available regarding its impact there.
Polyalthia suberosa (corky debbar tree).
Authors: Ventosa-Febles Eduardo A. , Cordero-Ramos Nicole
Published: December 2020

Polyalthia suberosa is a shrub or small tree, native to south and south-east Asia. It has been introduced widely in tropical counties as a cultivated ornamental plant (it also has medicinal properties). In the New World it is present in the wild in Florida, Hawaii and Cuba; in the latter country it is classified as invasive, but there appears to be no information about any adverse effects that it may have.
The value–complexity trade-off for reinforcement learning based brain–computer interfaces
Authors: Levi-Aharoni Hadar , Tishby Naftali
Published: December 2020

Objective. One of the recent developments in the field of brain–computer interfaces (BCI) is the reinforcement learning (RL) based BCI paradigm, which uses neural error responses as the reward feedback on the agent’s action. While having several advantages over motor imagery based BCI, the reliability of RL-BCI is critically dependent on the decoding accuracy of noisy neural error signals. A principled method is needed to optimally handle this inherent noise under general conditions. Approach. By determining a trade-off between the expected value and the informational cost of policies, the info-RL (IRL) algorithm provides optimal low-complexity policies, which are robust under noisy reward conditions and achieve the maximal obtainable value. In this work we utilize the IRL algorithm to characterize the maximal obtainable value under different noise levels, which in turn is used to extract the optimal robust policy for each noise level. Main results. Our simulation results of a setting with Gaussian noise show that the complexity level of the optimal policy is dependent on the reward magnitude but not on the reward variance, whereas the variance determines whether a lower complexity solution is favorable or not. We show how this analysis can be utilized to select optimal robust policies for an RL-BCI and demonstrate its use on EEG data. Significance. We propose here a principled method to determine the optimal policy complexity of an RL problem with a noisy reward, which we argue is particularly useful for RL-based BCI paradigms. This framework may be used to minimize initial training time and allow for a more dynamic and robust shared control between the agent and the operator under different conditions.
Marked point process representation of oscillatory dynamics underlying working memory
Authors: Akella Shailaja , Mohebi Ali , Principe Jose C , Oweiss Karim
Published: December 2020

Objective. Computational models of neural activity at the meso-scale suggest the involvement of discrete oscillatory bursts as constructs of cognitive processing during behavioral tasks. Classical signal processing techniques that attempt to infer neural correlates of behavior from meso-scale activity employ spectral representations of the signal, exploiting power spectral density techniques and time–frequency (T–F) energy distributions to capture band power features. However, such analyses demand more specialized methods that incorporate explicitly the concepts of neurophysiological signal generation and time resolution in the tens of milliseconds. This paper focuses on working memory (WM), a complex cognitive process involved in encoding, storing and retrieving sensory information, which has been shown to be characterized by oscillatory bursts in the beta and gamma band. Employing a generative model for oscillatory dynamics, we present a marked point process (MPP) representation of bursts during memory creation and readout. We show that the markers of the point process quantify specific neural correlates of WM. Approach. We demonstrate our results on field potentials recorded from the prelimbic and secondary motor cortices of three rats while performing a WM task. The generative model for single channel, band-passed traces of field potentials characterizes with high-resolution, the timings and amplitudes of transient neuromodulations in the high gamma (80–150 Hz, γ) and beta (10–30 Hz, β) bands as an MPP. We use standard hypothesis testing methods on the MPP features to check for significance in encoding of task variables, sensory stimulus and executive control while comparing encoding capabilities of our model with other T–F methods. Main Results. Firstly, the advantages of an MPP approach in deciphering encoding mechanisms at the meso-scale is demonstrated. Secondly, the nature of state encoding by neuromodulatory events is determined. Third, we demonstrate the necessity of a higher time resolution alternative to conventionally employed T–F methods. Finally, our results underscore the novelty in interpreting oscillatory dynamics encompassed by the marked features of the point process. Significance. An MPP representation of meso-scale activity not just enables a rich, high-resolution parameter space for analysis but also presents a novel tool for diverse neural applications.
The XIII International Conference Computer-aided technologies in applied mathematics ICAM 2020
Authors: Torgaev S.N. , Gromov M.L.
Published: December 2020

The XIII International Conference “Computer-aided technologies in applied mathematics” was successfully held from 7th to 9th of September, 2020, at the National Research Tomsk State University, Tomsk, Russia. The conference was organized by National Research Tomsk State University, Angarsk State Technical University and The Institute of Computational Mathematics and Mathematical Geophysics.

Originally, the conference was to be held in June on Lake Baikal. But due to the COVID-19 coronavirus pandemic, the dates, venue, and format of the conference were changed.

List of Program Committee, Editors, Organizing Institutions, Images are available in this pdf.
Verification of lexic ontologies by the method of using semantic proximity of words calculated by large corpus of texts
Authors: Bayrasheva V R , Loukachevitch N V
Published: December 2020

The paper analyzes the concepts and relations between them in the RuWordNet digital thesaurus of the Russian language. Semantically related words automatically extracted from the corpus of texts are compared with the words of the thesaurus. The characteristic cases of information gap (omission of word meanings and semantic relationships) in the thesaurus are revealed, their causes of a computer and cognitive nature are described. Recommendations on improving the RuWordNet thesaurus are given.
Designing arithmetic neural primitive for sub-symbolic aggregation of linguistic assessments
Authors: Demidovskij Alexander , Babkin Eduard
Published: December 2020

The very first step towards a challenging goal of creation of monolithic generic neuro-symbolic systems is application of sub-symbolic ideas to particular symbolic algorithms like aggregation of fuzzy linguistic assessments during Linguistic Decision Making. A novel theoretical idea is to express this aggregation as structural manipulations and translate them in a neuroalgorithm. Tensor Product Representation (TPR) methodology provides a generic framework of designing neural networks that do not require training and produce an exact result equivalent to the result of symbolic algorithms. This paper demonstrates design of TPR-based arithmetic as a basic building block for expressing linguistic assessments aggregation on a sub-symbolic level and a neural architecture for the basic arithmetic operation.
Method for determining the technical condition of piston machines by measuring the angular velocity of the shaft
Authors: Elkhutov S N , Lavrik A A
Published: December 2020

A method for determining the technical condition of piston machines was proposed. The method is based on measuring the deviations of the angular velocity of the piston shaft machine depending on the angle of rotation. In order to verify the operability of the proposed method, a mock device for measuring the angular velocity of the shaft was developed. Trial measurements of the angular velocity of a rotating shaft were also carried out.
Machine learning application for support for automated control systems users
Authors: Khromov S K , Kulagin M A , Sidorenko V G
Published: December 2020

The article presents the results of the analysis of determining the possibility of Machine Learning (ML) using for solving the problems of incident classification of users on the example of enterprise resource planning (ERP) systems of JSC Russian Railways and choosing a rational method for solving this problem. The presented problem is a special case of the Natural Language Processing Problem (NLP) with the use of neural networks. The article covers findings of classification of user queries: binary and multi class, based on semantic analysis. In 2018, 1.4 million incidents were reported from users of ERP systems, only 25% of them are suitable for ML applications. Resolving other incidents requires the participation of a support specialist. Implementation of the software will reduce the waiting time for incident processing by 64% of the average. This will increase staff productivity by 5-7%. This paper explicitly proves that using convolutional neural networks for user incident classification problem has high potential in JSC Russian Railways.
Filtering and identification of Markov jump discrete time systems using filter with unknown input
Authors: Kim K S , Smagin V I
Published: December 2020

An algorithm for identifying the state of a Markov chain included in the description of a discrete stochastic system is considered. To construct the estimates, indirect observations and the Kalman filtering algorithm with an unknown input are used. An example is provided to illustrate the proposed approach.
Industrial equipment sizes optimization
Authors: Shcherbin S A , Glotov A A
Published: December 2020

The method of optimizing the sizes of vessels from the conditions of minimum mass and minimum surface area of the housing has been considered. The dependences of the optimal diameter, height, mass and minimum surface area of the hull on the volume of the vessel are obtained. Optimization of dimensions can lead to significant savings of structural materials and, accordingly, to reduction of the cost of vessels.
Radiation hardness of the ATLAS Tile Calorimeter optical components
Authors: Pereira B
Published: December 2020

The Tile Calorimeter (TileCal) is a sampling hadronic calorimeter and an essential part of the ATLAS experiment at the LHC. Plastic scintillating tiles are the active material. The light produced in the scintillators is transmitted to the photomultiplier tubes by wavelength shifting fibres. During the High Luminosity LHC (HL-LHC) programme, the luminosity can reach a value several times higher than the one that TileCal was designed for. Two critical points that affect the detector performance are the increased exposure to radiation that does degrade the TileCal optics and natural ageing. Since the optical components of the TileCal cannot be replaced, the radiation hardness must be evaluated. The Laser and Cesium calibration systems are used to evaluate the robustness of the TileCal optical components. These systems combined allow to isolate the response of the tiles and fibres and evaluate the evolution of the light yield with the dose. Run 2 calibration data were analysed, indicating that cells in layer A, and B11 and C10 cells have lost about 5% of light yield. No significant changes were found for the other cells. This study constitutes an essential step for predicting the calorimeter performance in future HL-LHC runs. Nevertheless, the extrapolation uncertainty is large so more data needs to be explored to reach better precision on such extrapolation.
The SuperFGD for the T2K near detector upgrade
Authors: Douqa Dana
Published: December 2020

Tokai-to-Kamioka (T2K) experiment is a long baseline neutrino experiment in Japan. T2K started data taking in 2010 and obtained a hint on matter-antimatter asymmetry in neutrino oscillations. To provide better sensitivity, T2K plans to have a run extension with higher intensity beam and an upgrade of the T2K near detector. We adopted a novel detector called SuperFGD as an upgraded fully-active target tracker. It consists of about two millions of plastic scintillator cubes and about sixty-thousand readouts through WLS fibers and MPPCs. It provides fine granularity and larger acceptance to suppress systematic error. The new detector will be ready to accept the beam in 2022. Here we report the current status of the new detector.
Non-identical charged kaon femtoscopy in Pb—Pb collisions at

sNN=2.76TeV

by ALICE
Authors: Mikhaylov Konstantin
Published: December 2020

We present the result of the femtoscopic analysis of non-identical charged kaon correlations in Pb-Pb collisions at

s

NN

=
2.76

TeV

obtained in ALICE at the LHC. One-dimensional K+K− correlation functions were analyzed in three centrality classes and eight transverse momentum ranges. The femtoscopic correlations of K+K− pairs are the result of Coulomb final-state interactions and formation of a
0(980) and f
0(980) resonances. The K+K− correlation function was fit with the R. Lednicky and V. Luboshitz model [1]. For the first time, f
0(980) mass and couplings were extracted from the K+K− correlation functions fit with the constraint on the radii to be close to the corresponding radii from identical charged kaon correlations.
First observation of diffraction in proton-lead collisions at the LHC with the CMS detector
Authors: Sosnov Dmitry
Published: December 2020

We present the first measurements of diffraction processes in proton-lead collisions at LHC with CMS at

s

NN

=
8.16

TeV

. The very large angular coverage of CMS is used to tag rapidity gaps in the forward regions on both the proton-going and lead-going sides to identify both pomeron-lead and pomeron-proton topologies. The present data provide essentially unique information for understanding the high energy limit of QCD and modeling cosmic ray air showers since the previous measurement of these processes was done at energy almost 300 times lower

(

s

NN

=
30

GeV

)

. The results are compared to predictions from the EPOS-LHC, QGSJET II and HIJING event generators.
Using multiplicity of produced particles for centrality determination in heavy-ion collisions with the CBM experiment
Authors: Segal I , Lubynets O , Selyuzhenkov I , Klochkov V
Published: December 2020

The evolution of matter created in a heavy-ion collision depends on its initial geometry. Experimentally collision geometry is characterized with centrality. Procedure of centrality determination for the Compressed Baryonic Matter (CBM) experiment at FAIR is presented. Relation between parameters of the collision geometry (such as impact parameter magnitude) and centrality classes is extracted using multiplicity of produced charged particles. The latter is connected to the collision geometry parameters using Monte-Carlo Glauber approach.
The ATLAS Muon Spectrometer upgrade for High-Luminosity LHC
Authors: Proto Giorgia
Published: December 2020

The muon spectrometer of the ATLAS detector will undergo a major upgrade in order to cope with the operational conditions at the high-luminosity LHC. The trigger and readout system will need to support Level-0 trigger rates of 1 MHz and a latency of 10 μs. The readout electronics of all the trigger and precision chambers will be replaced and the precision chambers, currently not included in the hardware trigger, will be integrated into the Level-0 trigger in order to sharpen the momentum threshold and increase the system redundancy. New-generation RPC chambers will be installed in the inner barrel layer to increase the acceptance and robustness of the trigger. Some of the MDT chambers in the inner barrel layer will be replaced with new small-diameter MDTs. New TGC triplet chambers will replace the current TGC doublets in the barrel-endcap transition region to enhance the suppression of fake triggers in this region. A major upgrade of the power system is also planned. In this presentation the main detector technology developments of the project will be presented.
Heavy-flavour production in proton–proton collisions with the ALICE experiment
Authors: Gyulai László
Published: December 2020

The production of heavy-flavour hadrons in high-energy hadronic collisions is a unique source of information on various aspects of quantum chromodynamics (QCD). Production of heavy-flavour hadrons in proton-proton collisions allows the test of perturbative QCD models, while the comparison of mesons and baryons with heavy-flavour quarks can differentiate between fragmentation scenarios. Multiplicity-dependent measurements allow for the understanding of semi-hard vacuum QCD effects, as well as to study the coalescence mechanisms of heavy-flavour quarks with light and strange quarks. Recent results from the ALICE experiment in proton-proton collisions on the production of D mesons and leptons from the decay of heavy-flavour hadrons, as well as charmed baryons, are presented in this contribution. Furthermore, the multiplicity dependence of self-normalised heavy-flavour electron yields, as well as that of strange to non-strange D-meson and charmed baryon-to-meson ratios are also shown.
Exotic searches by ATLAS and CMS
Authors: Kaur A
Published: December 2020

ATLAS and CMS are two general-purpose detectors setting almost opposite to each other at the LHC ring. Both detectors resulted in the discovery of Higgs Boson in 2012. With successful data taking during Run-II, ATLAS and CMS recorded up to 139fb
−1 of integrated luminosity and probes for rare and exotic decays and sets exclusion limits on various models searching beyond standard model physics.
LVD status report: neutrino physics.
Authors: Shakiryanova I
Published: December 2020

The iron-scintillation detector LVD is designed to detect various types of neutrinos from collapsing stars in our Galaxy and in Magellanic Clouds. The report will present the results for 28 years of the experiment’s existence. New limit has been set on the frequency of supernova detection in our Galaxy. The results of the correlation analysis between detectors LVD and BUST are presented. The results obtained during event registration from the CERN neutrino beam are discussed.
The Future of Neutrinoless Double Beta Decay Searches with Germanium Detectors
Authors: Edzards F
Published: December 2020

The observation of neutrinoless double beta (0vββ) decay would establish the Majorana nature of neutrinos and explicitly show that lepton number conservation is violated. In their search for the rare decay in the isotope 76Ge, the GERDA and MAJORANA DEMONSTRATOR (MJD) experiments have achieved the lowest backgrounds and best energy resolutions in the signal region of interest of any 0vββ decay experiment. Building on the successful results of these experiments, as well as contributions from other groups, the Large Enriched Germanium Experiment for Neutrinoless Double Beta Decay (LEGEND) collaboration aims to develop a phased 0vββ decay experimental program with discovery potential at a half-life beyond 1028 years. To achieve this goal, the enriched germanium detector mass has to be increased up to the tonne-scale and the backgrounds have to be reduced further. The first phase of LEGEND, a 200 kg measurement utilizing the existing GERDA infrastructure at LNGS in Italy, is expected to start in 2021.
Synthesis, growth and optical characterisation of nickel added Boro Formate single crystal for optical applications
Authors: Malliga P , Dharshan V , Deepika V
Published: December 2020

A nonlinear optical crystal Boro formate added with nickel (NBF) was produced by chemical synthesis. Slow Evaporation method.was adopted to produce such a crystal from an aqueous solution. To understand phase identification and information on unit cell dimensions XRD technique was undertaken.. The FT-IR spectroscopy measures the light absorbed by the various bond making the vibrating molecule. The functional group present in NBF was thus found.The UV-Visible absorption of light by NBF crystal has produced a distinct spectrum which aids in the identification of the compound and to ascertain the optical property of the compound. The crystal is transparent from a wavelength of 330mm. The frequency doubling property of NLO crystals was verified through SHG studies. The elements present in NBF crystal was confirmed by EDAX studies.
Piezoelectric energy harvesting from a curved plate subjected to time-dependent loads using finite elements
Authors: Kouider Bendine , Wankhade Rajan L
Published: December 2020

The present paper focuses on the energy harvesting based piezoelectric material from curved plate (CP). Thus, a FEM Model of CP is equipped with piezoelectric patches act as harvesters and connected in parallel with load resistor. The harvester’s positions have been obtained using new technique based on modal analysis maximum voltage output. The idea is to distribute patches all over the plate and then performing modal analysis. The harvesters position are then chosen based on the maximum output voltage extracted from the results. This new approach not just save time by avoiding iterative optimizations but also helps to use the needed harvester according to the applied load and its frequency. The methodology are check in time and frequency domain.
Synthesis of nanocomposite of franklinite (Fe2O4Zn) doped zincite(ZnO) using wet chemical coprecipitation method and rietveld refinement
Authors: Bedi Himanshu , Rohilla Sunil , Gupta Ankita
Published: December 2020

The nanocomposites of Franklinite (Fe2O4Zn) doped Zincte (ZnO) were synthesized through wet chemical (co-precipitation) technique followed by heat treatment. Metal chlorides and metal oxides are used as precursors for the formation of composites. The asprepared sample composites were subjected to sintering for two hours at the temperature of 300 °C. The detail spectral study and the effect of concentration of precursor salt on the structural parameters were done by using XRD and Rietveld refinement method. The occurrence of two crystalline phases (Fe2O4Zn and ZnO) was estimated from XRD data through Rietveld refinement. It was observed that the Fe2O4Zn have a cubic structure with space group Fd-3m (227), whereas ZnO has hexagonal structure with space group P 63 mc (186). The Wyckoff positions and rietveld refinement parameters like goodness factor, Bragg R factor, Rpvalue, Rexp were calculated. Effect of varying concentration of precursor on development of complete ferrite phase of structure was discussed.
Strontium arsenate doped conducting polyaniline matrix as gas sensor
Authors: Machappa T , Badrunnisa S
Published: December 2020

Electrical response of strontium arsenate (Sr3(AsO4)2) doped conducting Polyaniline (PANI) composites matrix in liquid petroleum gas (LPG) environment is studied. One step in situ chemical polymerization technique was used to synthesis conducting PANI and PANI / Sr3(AsO4)2 composites. Characterization confirmed the formation conducting polymer by FTIR, presence of Sr3(AsO4)2 in PANI matrix and its crystallinity by X-RD, Surface morphology and porosity by ESEM. Conductivity increases by with temperature, due to ion transfer within the composites by curling behavior of polymer. Absorption of charges by analyte gas from polymer matrix due to electron affinity, increases electrical resistance with increase in concentration of LPG. The absorption of the charges depends on the surface area of interaction between analyte gas and polymer matrix.
Study of Argon and Xenon gas properties on DC-glow discharge plasma
Authors: Somayajula Sai Keerthi , Sriram A T , Shelar Vikas M
Published: December 2020

With the advances in the plasma technology in several fields as waste management, space technology and medical applications, non-thermal plasmas have become popular. They replace the combustion fuels for stationary hall thrusters and require minimal voltage to sustain longer duration. Generally, non-reactive gases such as Xenon, Argon, Krypton in a pure or mixture form is used to generate plasma, in order to have overall better performance of the system. Hence, the study of these gases and its properties becomes very crucial for further improvement in any kind of application. Xenon has proven to be most efficient in Hall thruster as compared to the other gases, but its limited availability and high cost has led to the idea of replacing it with other gases that are in abundant. As the DC glow discharge is considered to be canonical problem of interest, the paper focuses on modelling and simulation of 1-D and 2-D. DC glow discharge tubes using Argon and Xenon as gases to generate plasma and study its properties. The trend in distribution of electron density, electron temperature and electric potential have shown little variation. However, the magnitude on electron density is slightly higher for Argon relative to Xenon for given operating conditions in 1-D simulation and in the case of 2-D simulation the diffusive nature in lateral direction has shown higher peak value for Xenon.
Lung dose measurement from indoor 222Rn and 220Rn in dwellings of Fatehgarh district of Punjab, India
Authors: Kaur Rupinderjeet , Shikha Deep , Gupta Ruchie , Singh Tejinder , Kumar Amit , Singh Supreet Pal , Mehta Vimal
Published: December 2020

In order to study the health risk factors caused by indoor radon and thoron gases, environmental testing of these gasses has been carried out in various dwellings in the Fatehgarh district of Punjab. The average concentration of indoor 222Rn (CR) and indoor 220Rn (CT) is 59.8±15.9 Bq/m3 and 70.6±22.4 Bq/m3. The equivalent dose rate for lung (H) ranges from 33.54 to 82.60 nSv with mean dose of 47.85±12.73 nSv. The Effective dose rate to lungs (DLung) due to radon emitted alpha particles and progenies ranges from 1.68 to 4.13 nGy h-1 with mean of 2.39±0.63 nGy h-1. The effective dose rates trachea-bronchial (DT-B) and pulmonary + pulmonary lymph (DP+PI) ranges from 2.01 to 4.96 nSv with average value of 2.86±0.63 nSv. The rate of lung dose DRL owing to radon varies from 4.03 to 9.91 nSv with average value of 5.74±1.52 nSv. The average of the 222Rn and 220Rn inhalation dose in the study region is not as much of the 222Rn and 220Rn overall average inhalation dose worldwide.