bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness of preparations for increasing the activity of plant growth processes at NO-TILL technology
Authors: Sorokina Svetlana Yu , Sorokin Nikolay S , Sychev S M , Okorokova O A 
Published: March 2021

Abstract
The priority tasks of agriculture are to reduce negative processes in the soil and implement measures to eliminate and prevent land degradation, to green agricultural production with biologization of agriculture. Further cost-effective and environmentally safe agricultural production requires optimizing the structure of the soil microflora, restoring the natural microbiological activity of the soil, and reducing the chemical load. Biologization of agriculture involves the competent use of the laws of nature, scientific achievements aimed at improving the soil, reducing the cost and improving the quality of agricultural products.
Biologization of the tillage system consists in minimizing tillage. Minimization is the correct alternation of various methods and types of processing, reducing the number and depth of treatments, replacing deep treatments with small and surface treatments, replacing mechanical treatments between rows of row crops and fallows with pesticide ones, combining a number of technological operations and techniques in one process by using aggregates and combined tools. One of the types of minimal tillage is the No-Till system, which is an agricultural system where direct sowing is carried out in untreated soil. The system also assumes the preservation of stubble or crushed plant residues (mulch) on the soil surface.
An increasing number of agricultural producers are turning to self-healing, resource-saving agriculture. Biologization of agriculture involves increasing the efficiency of assimilation of basic fertilizers due to leaf treatments with growth-stimulating drugs of various nature (microbiological, growth-regulating, based on macro- and microelements, etc.).
The study is aimed at identifying the effectiveness of using non-traditional drugs on the yield and quality indicators of agricultural crops in conditions of no tillage. The paper presents the results of experiments, the most effective and cost-effective drugs that make it possible to increase the efficiency of using No-Till technology in the conditions of the CBER.
Project-focused innovative entrepreneurship training at the University. Experience of BSTU named after V G Shukhov
Authors: Safaie Nasser , Romanovich M A , Domozhirova O V , Romanovich L G 
Published: March 2021

Abstract
The paper deals with current issues of implementing a project-focused model of innovative entrepreneurship teaching for students at Russian higher educational institutions. We present the dynamics of students enrolled in innovative entrepreneurship programs, projects recommended for implementation, as well as the main scientific activities of small businesses. The mechanism for training and infrastructure support of this innovative entrepreneurship training for undergraduates and postgraduates is proposed. The article analyzes the infrastructure support of innovation activities, as well as the positive experience of Belgorod State Technological University named after V G Shukhov that successfully implemented a model of educational scientific innovation complex and makes it aim to support and encourage innovative activities of young scientists and students and commercialize intellectual property of the University. The results obtained in the analysis of the process of organizing innovative activities for young scientists may be of interest to both Russian and foreign companies, scientific and research centers.
Corporate structure of innovative development management of economic entities in the agricultural sector of the regional economy
Authors: Sandu I S , Butorin S N , Kirova I V 
Published: March 2021

Abstract
The paper presents an analysis of the features of innovative development of the agricultural sector of the economy on the example of the Perm region. Their managerial aspect is highlighted, and the basic structures that determine the possibilities of innovative development of the agricultural sector of the regional economy are shown. It is shown that the system of advisory services, attempts to create agricultural and technical parks, agricultural biological parks, including the prototype of the territories of priority development is based theoretically and methodologically refined algorithm of obtaining and transforming knowledge in innovation-oriented structure of the agricultural sector, which is contrary to the trends of the Fourth industrial revolution, which swept almost all economic activities. A model of the organizational structure of the system of innovation-oriented management of economic entities in the agricultural sector of the region is offered.
Introgession of powdery mildew resistance into cultural pea from wild accession of P. fulvum
Authors: Bobkov S V , Selikhova T N 
Published: March 2021

Abstract
Wildlife pea specimen P. fulvum i-609881 of the UIP collection (Saint Petersburg, Russia) in a greenhouse box has demonstrated full resistance to powdery mildew. As a result of crossing with cultivated peas, interspecific hybrids of Stabil × i-6098881 were obtained. In populations of interspecific hybrids, the BC2F3 Stabil × i-609881 line of the leafless morphotype (af), resistant to the powdery mildew pathogen, was isolated as a result of backcrossing. As a result of crossing plants of this line with susceptible plants of the leafy (Af) variety Temp, the following series of pea hybrids was obtained. Analysis of F1 hybrids showed that all plants were characterized by resistance to the pathogen powdery mildew. In the population of F2 hybrids, a splitting analysis was performed on the basis of resistance to powdery mildew. The analysis revealed that the hybrid population consisted of 66 resistant and 20 affected plants. The actual splitting corresponded to the expected one for monogenic inheritance with a phenotype ratio of 3: 1 phenotype ratio (η05
2 test, p=0.7087438). Based on the analysis of populations of F1 and F2 hybrids, it is concluded that resistance to powdery mildew is the result of introgression of the genetic resistance factor from the genome of the P. fulvum i-609881 sample and is encoded by the dominant allele of a single gene.
Towards buckwheat breeding on high protein content with use of embryo-endosperm ratio in seeds
Authors: Bobkov S V , Zotikov V I , Mikhailova I M 
Published: March 2021

Abstract
Buckwheat breeding on high protein content in seeds was not previously carried out due to the lack of clear selection criteria. Based on the study of the protein content in various organs of buckwheat seed, we proposed a method for selecting a high protein content based on the ratio of the embryo and endosperm in the seed. It was found that the embryo contained 8.3 times more protein than the endosperm (49.9 % and 6.0 %, respectively). At the same time, the contribution of the embryo to the total protein content in the seed is 74 %. The use of correlation analysis shows an independent change in the mass of the embryo and endosperm, which facilitates the use of the “high proportion of the embryo in the seed” trait in the selection process. 9 varieties of buckwheat were studied by embryo mass, endosperm and embryo share in the seed. The most suitable varieties for use in breeding for high protein content are buckwheat Batyr and Bogatyr, which are characterized by low endosperm content and a high proportion of the embryo in the seed. To increase the variation in the content of the embryo and endosperm, it is proposed to use a hybrid material and search for mutations that affect the ratio of the embryo and endosperm in the seed. The basics of the method of growing buckwheat from isolated embryos in soil culture and selecting plants by the mass of viable embryos in the seed are developed.
Study of symbiotic nitrogen fixation of chickpea (Cicer arietinum L.) in the Oryol region
Authors: Donskaya M V , Donskoy M M 
Published: March 2021

Abstract
Modern agriculture tends to reduce chemogenic loads on the environment and becomes more environmentally oriented. In this regard, increasing the yield of agricultural crops through the use of useful soil microflora is an urgent direction in research. In the field conditions of the Oryol region, the features of the formation and operation of symbiotic systems of 13 chickpea varieties under mono - and double inoculation with different strains of nitrogen-fixing bacteria Mesorhizobium ciceri and a soil-root mixture containing a mix of arbuscular mycorrhizal fungi Glomus spp were studied. The use of microbiological drugs had a positive effect on the growth and development of most chickpea varieties, which contributed to a more intensive accumulation of green mass of plants, led to an increase in the duration of the growing season by 1…7 days compared to the control. At the same time, the plants exceeded the control by 0.5…23.4% in height. There was an increase in the weight of dry plants by 0.7…70.1%, the number of seeds per plant by 0.3…69.1%, the weight of seeds per plant by 0.6…71.4%, and the weight of 1000 seeds by 0.4…36.9%. It was found that the most powerful and active symbiotic apparatus in chickpeas is formed during the flowering period – the beginning of bean formation. The maximum number of nodules was formed in the Avatar variety in the variant with mono inoculation of Mesorhizobium ciceri strain 065 and in the Krasnokutsky 123 variety in the variant with Mesorhizobium ciceri strains 527 and 522. The highest values of nitrogenase activity (109.23…155.79 mg N2/plant h) were recorded in the varieties Avatar, Krasnokutsky 123 and Kostyuzhansky 27 in the variants with double inoculation.
Revealing the component composition of the multilinear millet variety Quartet during long-term seed production
Authors: Vilyunov S D , Sidorenko V S 
Published: March 2021

Abstract
Reducing the pesticide load on natural and agroecosystems in the production of agricultural products in crop production is the most pressing problem of the XXI century. Use of disease-resistant varieties of agricultural crops, which makes it possible to completely exclude the use of some of the pesticides required in the technological cycle, is an ecologically and economically significant factor in modern production. Particularly important in the cultivation of disease-resistant varieties is to reduce the probability of the pathogen developing new virulent properties that overcome this resistance of the variety with a long-term existence in production. These conditions are met by multilinear varieties that are heterogeneous in nature. As an object of analysis, we took the Quartet, multilinear in terms of smut resistance, common millet variety, which has been in production since 2001. The variety, with more than 20 years of cultivation in Russia, neighboring countries, as well as Germany and Switzerland, has shown not only excellent yielding qualities, but also actual resistance to local populations of the pathogen. The authors analyzed the difference from the original composition of the component composition of the variety after many years of production, when reseeding with its own seeds, in the conditions of one farm. On the farm, the obligatory method of treating millet seeds against smut was excluded from the cultivation technology.
Predictive Modeling: An Attempt at Predicting Travel Times In Bengaluru Accounting For Geographic And Economic Effects
Authors: Sophia Jaison , Althaf S , Gautham Nambiar 
Published: March 2021

Abstract
The transport system of a country reflects the efficiency and growth of the country. As population increases, the number of vehicles increase, congestion and traffic increase leading to increase travel times, Evolution comes about in the transport system of a country, to increase physical connectivity and economic development, to reduce congestion and travel times. This paper aims to use machine learning algorithm on big data to understand how the effects of rainfall, temperature and pollution help predict travel times. The four machine learning algorithms used include linear regression, ridge regression, random forest regression and elastic net regression. The predicted travel times obtained by all models were compared with the observed travel times in order to determine which model gives better prediction. From the predictive modeling algorithms run on these datasets it is observed that, random forest regression is best suited in predicting travel times in Bengaluru City from ith zone to jth zone in the pth hour of weekdays and weekends after accounting for effects of pollution, temperature, rainfall and economic activity.
Cascade correlation neural network with deterministic weight modification for predicting stock market price
Authors: Velusamy K , Amalraj R 
Published: March 2021

Abstract
A new weight updating approach is proposed for cascade correlation neural network (CCNN) in this paper. The deterministic weight modification (DWM) algorithm is used to adjust the connection weights of CCNN. The introduced new method can improve the global convergence capability of the conventional CCNN and optimally reduced the system error. The proposed DWM+CCNN prediction algorithm is applied well-known stock market dataset in order to evaluate the robustness and efficiency. The experimental results are confirmed that the proposed DWM+CCNN algorithm is achieves higher performance in terms of convergence rate and the capability of global converges.
A Review of Different Approaches for Detecting Emotion from Text
Authors: Murthy Ashritha R , Anil Kumar K M 
Published: March 2021

Abstract
Emotion detection and analysis is one of the challenging and emerging issues in the field of natural language processing (NLP). Detecting an individual’s emotional state from textual data is an active area of study, along with identifying emotions from facial and audio records. The study of emotions can benefit from many applications in various fields, including neuroscience, data mining, psychology, human-computer interaction, e-learning, information filtering systems and cognitive science. The rich source of text available in the Social media, blogs, customer review, news articles can be a useful resource to explore various insights in text mining, including emotions. The purpose of this study is to provide a survey of existing approaches, models, datasets, lexicons, metrics and their limitations in the detection of emotions from the text useful for researchers in carrying out emotion detection activities.
EmoCure: Utilising Social Media Data and Smartphones to Predict and Cure Depression
Authors: Basantani Ashish , Kesarwani Yash , Bhatia Srishti , Jain Sarika 
Published: March 2021

Abstract
Depression is a common and recurring illness. It is a serious medical condition which might lead to self-harm. Various factors like unawareness about depression, shortage of medical health professionals and social stigmas make proper treatment for depression inaccessible. With the growing importance of technology in every sector of life, healthcare systems have also started using technology to provide better treatment. Various studies have shown that the widespread use of smartphones can be useful in predicting as well as treating depression by recommending activities. Smartphones can be very useful in the continuous monitoring of a patient which in turn helps to keep track of the activities of the patient. Social media data can also be used to find out the mental state of a patient. We propose EmoCure, a smartphone application that uses social media data, wearable sensor data, patient history, and smartphone usage patterns to predict, monitor, and treat depression using emotion regulating activities. We use machine learning models for finding out the sentiments in the social media posts. To predict depression, we use ensemble learning. We then recommend personalized emotion regulating activities whichever the user prefers.
Chaotic key generators for data security
Authors: Baby H T , Sujatha B R 
Published: March 2021

Abstract
The cryptography approach plays a very major role in securing systems by providing authentication, integrity, and confidentiality for the data. In recent decades, the cryptographic systems have provided novel and efficient ways of encryption. Most of these cryptographic systems need unpredictable entities-Keys. Hence Random number generator is an essential component for cryptography. In cryptography, generating random numbers is an important task, not only for generating cryptographic keys, but also for implementing cryptographic algorithms and protocols. This paper presents chaotic analog circuits to generate random numbers that is used as keys in the conventional cipher to protect the image data.
Risk Measurement and Cyber security in Industrial Control Systems
Authors: Manohar Manish , Hiriyannaiah Srinidhi , Siddesh G M , Srinivasa K. G. 
Published: March 2021

Abstract
In this new era of expansion in the cyber space, it is not just the IT domain that is vulnerable to cyber-attacks but also the Industrial Control Systems (ICS). ICS is vital in the functioning of almost all the industries either directly or indirectly. As we progress in the direction of Industry 4.0, the challenges with respect to the security of these systems and the data associated with it needs to be addressed. Vulnerability of these systems to various attacks in the past, increases the need for a secured infrastructure. In this paper, the security of ICS along with the importance of software patching and the calculation of the risk associated with the negligence in the process is discussed.
The eIF4E-binding protein Eap1 has similar but independent roles in cell growth and gene expression with the cytoplasmic deadenylase Ccr4
Authors: Higuchi Yudai , Fujii Shiori , Valderrama Arvin Lapiz , Irie Kaoru , Suda Yasuyuki , Mizuno Tomoaki , Irie Kenji 
Published: March 2021

ABSTRACT
eIF4E-binding proteins (4E-BPs) are translational repressors that compete with eIF4G for binding to eIF4E. Here we investigated the roles of yeast 4E-BPs, Eap1, and Caf20 in cell wall integrity pathway and gene expression. We found that eap1∆ mutation, but not caf20∆ mutation, showed synthetic growth defect with mutation in ROM2 gene encoding Rho1 GEF. The eap1∆ mutation also showed synthetic lethality with mutation in CCR4 gene encoding cytoplasmic deadenylase. Ccr4 functions in the degradation of LRG1 mRNA encoding Rho1 GAP. Eap1-Y109A L114A, which could not bind to eIF4E, did not suppress the synthetic lethality of eap1∆ ccr4∆ mutant, suggesting that 4E-binding of Eap1 is important for its function. We also found that eap1∆ mutant showed the derepression of stress response gene HSP12. 4E-binding of Eap1 was also required for the repression of HSP12 expression. Our results indicate that Eap1 has similar but independent roles in cell growth and gene expression with Ccr4.
Previous Syphilis Alters the Course of Subsequent Episodes of Syphilis
Authors: Marra Christina M , Maxwell Clare L , Sahi Sharon K , Tantalo Lauren C , Dunaway Shelia B , Lukehart Sheila A 
Published: March 2021

Abstract

Background
The influence of previous syphilis on the course of a subsequent episode is unknown.

Methods
Individuals enrolled in a study of cerebrospinal fluid (CSF) abnormalities in syphilis were allowed to enroll in the study again with subsequent syphilis. For each participant, the index episode was defined as the most recent syphilis episode for which the study entry visit was performed within 30 days of the syphilis diagnosis date. Venipuncture and lumbar puncture (LP) were performed. Total number of syphilis episodes was determined by review of medical and public health records. T. pallidum DNA in blood and rRNA in CSF were detected by polymerase chain reaction (PCR) and reverse transcriptase PCR. Odds ratios (ORs) with 95% confidence intervals (95% CI) were determined by logistic regression.

Results
651 individuals had one (n = 482), two (n = 121) or three or more (n = 48) episodes of syphilis. The proportion of individuals whose index episode was early latent stage was significantly higher in those with ≥3 syphilis episodes; this relationship was reduced to a trend when rate of testing was taken into account. Adjusted odds (aOR) of detection of T. pallidum DNA in blood or rRNA in CSF at the index episode were significantly lower in those with previous syphilis (0.17 [95% CI, 0.09–0.31] and 0.15 [95% CI, 0.07–0.35]). The aOR for neurosyphilis at the index episode was also significantly lower in individuals with previous syphilis (0.54 [95% CI, 0.34–0.87]).

Conclusions
Previous syphilis attenuates the manifestations of subsequent infection with T. pallidum.
Identification of Three Novel Susceptibility Loci for Inflammatory Bowel Disease in Koreans in an Extended Genome-Wide Association Study
Authors: Jung Seulgi , Ye Byong Duk , Lee Ho-Su , Baek Jiwon , Kim Gyeonghoon , Park Dohoon , Park Sang Hyoung , Yang Suk-Kyun , Han Buhm , Liu Jianjun , Song Kyuyoung 
Published: March 2021

Abstract

Background and Aims
Genome-wide association studies [GWAS] of inflammatory bowel disease [IBD] in multiple populations have identified over 240 susceptibility loci. We previously performed a largest-to-date Asian-specific IBD GWAS to identify two new IBD risk loci and confirm associations with 28 established loci. To identify additional susceptibility loci in Asians, we expanded our previous study design by doubling the case size with an additional dataset of 1726 cases and 378 controls.

Methods
An inverse-variance fixed-effects meta-analysis was performed between the previous and the new GWAS dataset, comprising a total of 3195 cases and 4419 controls, followed by replication in an additional 1088 cases and 845 controls.

Results
The meta-analysis of Korean GWAS identified one novel locus for ulcerative colitis at rs76227733 on 10q24 [pcombined = 6.56 × 10–9] and two novel loci for Crohn’s disease [CD] at rs2240751 on 19p13 [pcombined = 3.03 × 10–8] and rs6936629 on 6q22 [pcombined = 3.63 × 10–8]. Pathway-based analysis of GWAS data using MAGMA showed that the MHC and antigenic stimulus-related pathways were more significant in Korean CD, whereas cytokine and transcription factor-related pathways were more significant in European CD. Phenotype variance explained by the polygenic risk scores derived from Korean data explained up to 14% of the variance of CD whereas those derived from European data explained 10%, emphasizing the need for large-scale genetic studies in this population.

Conclusions
The identification of novel loci not previously associated with IBD suggests the importance of studying IBD genetics in diverse populations.
Diversionary Politics and Territorial Disputes: Evidence from Turkish Airspace Incursions
Authors: Mehrl Marius , Choulis Ioannis 
Published: March 2021

Abstract
Diversionary theories of interstate conflict suggest that domestic problems push leaders to initiate hostilities against foreign foes in order to garner support. However, the empirical support for this proposition is mixed as critics point out that leaders should not start conflicts that can be extremely costly for them, potentially even removing them from office. We propose that while leaders may not initiate new conflicts, they do tap into existing territorial disputes when facing internal disapproval. That is, they engage in material acts of foreign policy showing domestic audiences that they defend or emphasize their country's claim while being unlikely to result in full-scale armed confrontations. To test this claim, we use monthly data, covering the period 2013–2020, on leader approval and incursions into contested airspace from Turkey's long-standing territorial dispute with Greece. Results from time-series models offer support for our expectation.