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Journal articles on the topic 'NLP in Finance and Economics'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

WARIN, THIERRY, and WILLIAM SANGER. "THE SPEECHES OF THE EUROPEAN CENTRAL BANK’s PRESIDENTS: AN NLP STUDY." Global Economy Journal 20, no. 02 (June 2020): 2050009. http://dx.doi.org/10.1142/s2194565920500098.

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This paper introduces natural language processing into the study of central banking. It studies the evolution of the ECB’s communication through time, considering its three subsequent presidents (W. Duisenberg, J. C. Trichet and M. Draghi) and the pre- and post-2008 financial crisis era. It helps understand the history of the ECB since its inception. From a methodological standpoint, we study the evolution of the ECB’s speeches. The speech analysis is based on text classification and sentiment/polarity analyses. For that purpose, we have built a unique dataset of the ECB’s speeches. We have coded algorithms to run the text analysis through time. They help us capture the evolution in the ECB’s understanding of the actual economic situation and also measure — for instance — the stress level at the ECB through a polarity analysis through time.

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2

Petropoulos, Anastasios, and Vasilis Siakoulis. "Can central bank speeches predict financial market turbulence? Evidence from an adaptive NLP sentiment index analysis using XGBoost machine learning technique." Central Bank Review 21, no. 4 (December 2021): 141–53. http://dx.doi.org/10.1016/j.cbrev.2021.12.002.

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3

Frattini, Andrea, Ilaria Bianchini, Alessio Garzonio, and Lorenzo Mercuri. "Financial Technical Indicator and Algorithmic Trading Strategy Based on Machine Learning and Alternative Data." Risks 10, no. 12 (November 25, 2022): 225. http://dx.doi.org/10.3390/risks10120225.

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The aim of this paper is to introduce a two-step trading algorithm, named TI-SiSS. In the first step, using some technical analysis indicators and the two NLP-based metrics (namely Sentiment and Popularity) provided by FinScience and based on relevant news spread on social media, we construct a new index, named Trend Indicator. We exploit two well-known supervised machine learning methods for the newly introduced index: Extreme Gradient Boosting and Light Gradient Boosting Machine. The Trend Indicator, computed for each stock in our dataset, is able to distinguish three trend directions (upward/neutral/downward). Combining the Trend Indicator with other technical analysis indexes, we determine automated rules for buy/sell signals. We test our procedure on a dataset composed of 527 stocks belonging to American and European markets adequately discussed in the news.

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4

Goland, Yu M. "Lessons from the NEP experience for solving contemporary economic problems (to the 100th anniversary of the transition to NEP)." Journal of the New Economic Association 56, no. 4 (2022): 172–93. http://dx.doi.org/10.31737/2221-2264-2022-56-4-8.

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The article analyzes the experience of New economic policy (NEP), some of its features, the study of which may be helpful in solving the problems of the modern domestic economy. Certain similarities are obvious between the mixed economy of the NEP period, which V. Lenin called state capitalism, and the modern market economy with the growing role of the state. Within the framework of the chosen topic of NEP lessons, fi ve key research areas have been identifi ed: 1) selection of qualifi ed personnel, 2) limitation of the excessive control system, 3) monetary policy, combining fi ghting infl ation and stimulating economic growth, 4) a stable exchange rate of the domestic currency or devaluation; 5) attracting foreign capital. For each of these areas, the problems during the NEP period are highlighted. They were caused not only by the complexity of the economic recovery following the civil war. Contradictions in the ruling stratum of the Communist Party were also of great importance. The communists with high posts in the economy considered the development of productive forces to be the main priority and proceeded from the need to stimulate an increase in production. Party ideologists and apparatchiks, representatives of various control bodies, were guided primarily by political and ideological considerations. As a result of these contradictions, economic policy was often inconsistent. The study of the NEP experience lets us fi nd the positive lessons that can be used in modern conditions, and those negative features that should not be repeated.

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5

Maw, Aka Kyaw Min. "Stability and Expectations: Economic Reform and the NLD Government." Southeast Asian Affairs SEAA18, no. 1 (2018): 221–42. http://dx.doi.org/10.1355/aa18-1m.

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6

Than, Tin Maung Maung. "Myanmar's 2012 By-Elections: The Return of NLD." Southeast Asian Affairs SEAA13, no. 1 (2013): 204–22. http://dx.doi.org/10.1355/aa13-1n.

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Chaudhari, Sandipkumar, Jimitkumar Patel, Ajay Talvelkar, Nayan Pancholi, and Latif Bagwan. "Reliableness of Telegram between different evaluators in emergency general surgery practice." International Surgery Journal 9, no. 6 (May 26, 2022): 1193. http://dx.doi.org/10.18203/2349-2902.isj20221410.

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Background: 'Telegram' is a popularly used social media application in routine clinical practice, often for communication between a resident doctor and a consultant. The purpose of this study is to establish the reliableness of the data transmitted through telegram to validate its use in general surgery practice.Methods: Clinical findings and computerized tomographic (CT) images of 180 patients visiting the trauma center and emergency department were posted in a closed Telegram group involving three consultants (SSC, NBP, and LSB). The CT images were posted in the Telegram group as complete picture (CP) and picture of interest (POI) format and rated on a scale of 1-5. The consultants formulated a temporary diagnosis and initial management plan. The reliableness between different evaluators of these feedbacks was analyzed in our study.Results: Mean CP rating ranged from 3.03±0.61 to 3.73±0.64 [Cronbach alfa (α)-0.494, p=0.006]. Mean POI rating ranged from 3.4±0.56 to 4.13±0.73 (α-0.824, p<0.0001). For diagnosis, the proportion of observed agreement (P0) was 83.3% for SSC and NP, 76.6% for SSC and LB, and 73.3% for NBP and LSB. For management, P0 was 86.6% for NBP and LSB, 86.6% for SSC and NBP, and 80% for SSC and LSB.Conclusions: Telegram messenger serves to transmit good quality pictures of CT scan images. A reasonable diagnosis and management strategy can be formulated using this app with a fair reliableness between different evaluators.

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8

Daff, Lyn, and Lee D. Parker. "Accountants’ perceptions of communication in not-for-profit organisations: inhibitors, enablers and strategies." Accounting, Auditing & Accountability Journal 33, no. 6 (August 11, 2020): 1303–33. http://dx.doi.org/10.1108/aaaj-03-2019-3948.

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PurposeThe not-for-profit (NFP) context displays unique characteristics that include stakeholder diversity, multiple stakeholder agendas, and the pervasiveness of philanthropic values and related organisational mission. This study investigated accountants’ perceptions of NFPs’ characteristics that enable and inhibit their communication along with the strategies they adopt to overcome their communication challenges.Design/methodology/approachThis qualitative interview-based study is informed by Giddens’ structuration theory. Thirty NFP accountants, from three Australian states, were interviewed. Thematic analysis was used to identify the relationships between NFP organisational characteristics and accountants’ communication strategies, and their interactions with organisational structures.FindingsThe study reveals important relationships between many stakeholders with limited financial acumen, organisational resource constraints, the currency of NFP information technologies, the dominance of operational mission over financial imperatives, and the supply of organisational accountants. Accountants’ structural adaptations emerge in their adopting multiple forms of communications reframing.Research limitations/implicationsThe NFP environment exhibits a mix of characteristics, some of which pose challenges for accountants’ communication while others facilitate their communication.Social implicationsIncreasingly, governments are relying on NFPs for the provision of services once provided by the state. Enhancing NFP accountants’ communication has the potential to improve outcomes for NFPs.Originality/valueThe study broadens prior research on accountants’ communication beyond formal written reporting to recognise and articulate their informal communication strategies.

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9

Passeri, Andrea. "Myanmar's Foreign Policy under the NLD Government: A Return to Negative Neutralism?" Southeast Asian Affairs SEAA21, no. 1 (2021): 223–36. http://dx.doi.org/10.1355/aa21-1m.

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10

Ali, Muhammad Yousuf, Salaman Bin Naeem, and Rubina Bhatti. "Artificial intelligence tools and perspectives of university librarians: An overview." Business Information Review 37, no. 3 (September 2020): 116–24. http://dx.doi.org/10.1177/0266382120952016.

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The main purpose of this paper is to assess and examine the possible application of Artificial Intelligence (AI) tools in Pakistani academic libraries, particularly those areas of library technical and library user services where AI could be applied in the near future. A secondary purpose is to bring the library perspective on AI to the forefront of the scholarly world. This is a self-exploratory study, in which a qualitative approach interview has been conducted with 10 chief librarians/library heads (5 public + 5 private sectors) from universities regarding their views on the adoption of artificial intelligence tools in Pakistani academic libraries. Results are tabulated in a descriptive format. Librarians are aware of AI technologies. Services based on Natural Language Processing (NLP) are used in libraries, e.g. Google Assistant, Voice Searching, and Google Translate. Pattern recognition methods, such as text data mining, are also used to retrieve library material and conduct online searching. Big data is accessed via services such as cloud computing, OneDrive, and Google Drive. There is a very low level of awareness of robotics and chatbots. This study provides librarians with suggestions as to how AI tools could be used in libraries which either have yet to adopt AI technologies or wish to implement more advanced tools. Pakistani library schools could collaborate with computer science departments to establish AI Labs in the respective library and information science (LIS) departments/libraries. AI challenges funding and technological skills are the key problem to implement with AI in the University Libraries.

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11

Simionescu, Mihaela. "The Performance of Unemployment Rate Predictions in Romania. Strategies to Improve the Forecasts Accuracy." Review of Economic Perspectives 13, no. 4 (December 1, 2013): 161–75. http://dx.doi.org/10.2478/revecp-2013-0007.

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Abstract The evaluation and improvement of forecasts accuracy generate growth in the quality of decisional process. In Romania, the most accurate predictions for the unemployment rate on the forecasting horizon 2001-2012 were provided by the Institute for Economic Forecasting (IEF) that is followed by European Commission and National Commission for Prognosis (NCP). The result is based on U1, but if more indicators are taken into consideration at the same time using the multi-criteria ranking, the conclusion remains the same. A suitable strategy for improving the degree of accuracy for these forecasts is represented by the combined forecasts. The accuracy of NCP predictions can be improved on the horizon 2001-2012, if the initial values are smoothed using Holt-Winters technique and Hodrick-Prescott filter. The use of Monte Carlo method to simulate the forecasted unemployment rate proved to be the best way to improve the predictions accuracy. Starting from an AR(1) model for the interest variable, the uncertainty analysis was included, the simulations being made for the parameters. Actually, the means of the forecasts distributions for unemployment are considered as point predictions which outperform the expectations of the three institutions. The strategy based on Monte Carlo method is an original contribution of the author introduced in this article regarding the empirical strategies of getting better predictions.

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12

Timokhin, S. V., and Yu V. Sergeevichev. "INVESTIGATION OF THE TECHNICAL AND ECONOMIC CHARACTERISTICS OF A VEHICLE POWER SUPPLY SYSTEM." Niva Povolzhya, no. 1 (2021): 137–43. http://dx.doi.org/10.36461/np.2021.58.1.020.

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13

Tendengu, Simbarashe, Forget Mingiri Kapingura, and Asrat Tsegaye. "Fiscal Policy and Economic Growth in South Africa." Economies 10, no. 9 (August 24, 2022): 204. http://dx.doi.org/10.3390/economies10090204.

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Several fiscal policy strategies have been implemented in South Africa since 1994, starting from the Reconstruction and Development Programme (RDP), Growth Employment and Redistribution (GEAR), Broad-Black Economic Empowerment strategy (BEE), AsgiSA (Accelerated and shared growth initiative for South Africa), and the New Growth Path framework (NGP) with the aim of boosting economic growth. However, the rate of economic growth in the country over the years is not convincing. It is also important to note that poverty still remains prevalent and persistent, predominantly in the poverty-stricken areas of provinces such as Eastern Cape, Limpopo, North West, and Mpumalanga. In light of this, the main aim of the study was to examine the effect of fiscal policy instruments on economic growth in South Africa for the period from 1988 to 2018, utilising the autoregressive distributed lag model, mainly due to the order of integration of the variables. Empirical results revealed that there is a positive relationship between fiscal policy instruments (public sector expenditure, public consumption spending, and taxation) and economic growth. Based on the findings, the study recommends that the government should distinguish between productive and unproductive spending and increase spending on productive sectors. The implication of these findings is that South Africa’s economy is likely to perform better if more resources are diverted from government consumption to investment spending.

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14

Tucker, Basil P., and Lee D. Parker. "Out of control? Strategy in the NFP sector: the implications for management control." Accounting, Auditing & Accountability Journal 26, no. 2 (February 8, 2013): 234–66. http://dx.doi.org/10.1108/09513571311303729.

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15

Thomas, Abraham. "Detection of land use / cover changes of the KOSH region over a period of 14 years using the South African National Land Cover datasets for 2000 and 2014." South African Journal of Geomatics 8, no. 2 (September 8, 2022): 108–29. http://dx.doi.org/10.4314/sajg.v8i2.1.

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Simple algebraic change detection techniques viz. image difference and image ratio were applied to the South African national land use / cover (NLC) datasets of years 2000 and 2014, prepared in grid format covering the Klerksdorp–Orkney–Stilfontein–Hartebeestfontein (KOSH) region in order to assess land use/land cover changes. Both the 2000 and 2014 NLC datasets were generated from Landsat images using different classification schemes and the code values & attributes of the land cover classes of the two datasets were different/not comparable. In order to make these datasets comparable for change detection, the NLC2000 dataset was examined in ArcView GIS by superimposing it onto the NLC2014 dataset and similarities and differences were identified. For each cover type of the NLC2000 dataset, comparable cover type of the 2014 dataset was identified by making a query to the NLC2000 dataset and after viewing the spatial distributions of selected units in respect of the NLC2014 dataset. Suitable code values of NLC2014 dataset were identified for the NLC2000 dataset and it was later reclassified. The land use / cover change detection study reveals that increase in areas were observed for the cover types: Cultivated common fields (low), Cultivated common fields (med), Mines 2 semi-bare, Wetlands, Urban commercial and Plantations/woodlots mature. The Grassland, Thicket/dense bush, Urban residential (dense trees/bush), Mines 1 bare, and Cultivated common pivots (high) showed a decrease in places. During the 14 years, Grassland had decreased from 2,132.47 km2 (77.35% of the total area) to 1,629.78 km2 (59.11% of the total area) owing to landscape transformation to other land covers (e.g. Cultivated common fields and Urban residential) due to human activities. The percentage increase in areas observed for the Cultivated common fields (low and medium) were 8.21% and 2.96% while the Mines 2 semi-bare, Wetlands, Urban commercial, Plantations/woodlots mature showed increases of 0.67%, 0.32%, 0.28% and 0.23% respectively. The area of Thicket/dense bush decreased from 108.15 km2 to 56.71 km2 (change of 1.87%). Maps of land use/land cover changes and statistics obtained for the changed areas are very useful for identifying various changes occurring in different classes and for monitoring land use dynamics.

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16

Laryushin, N. P., I. A. Pershin, A. V. Shukov, and Т. А. Kiryukhina. "A NEW DESIGN OF THE GRAIN SEEDER SEEDING DEVICE EQUIPPED WITH A SECTIONAL TYPE COIL WITH GROOVES ARRANGED ALONG THE HELICAL LINE." Niva Povolzhya, no. 1 (2022): 3006. http://dx.doi.org/10.36461/np.2022.61.1.021.

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Ukhanov, A. P., M. V. Ryblov, M. D. Dubin, and D. A. Ukhanov. "TWO-PHASE MIXING IN TRACTOR DIESEL:THEORY, EXPERIMENT, TECHNICAL SOLUTIONS." Niva Povolzhya, no. 1 (2022): 3002. http://dx.doi.org/10.36461/np.2022.61.1.003.

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Stelmakh, K. N., A. N. Arefyev, E. N. Kuzin, and E. E. Kuzina. "CHANGES IN THE FERTILITY OF THE MEADOW-CHERNOZEM SOIL AND THE PRODUCTIVITY OF AGRICULTURAL CROPS UNDER THE AFTER-EFFECT OF URBAN SEWAGE SLUDGE AND ZEOLITE-CONTAINING AGRICULTURAL ORE." Niva Povolzhya, no. 1 (2022): 1002. http://dx.doi.org/10.36461/np.2022.61.1.007.

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Parfenov, D. Yu, N. P. Laryushin, A. V. Shukov, and R. R. Devlikamov. "LABORATORY STUDIES OF A SOWING UNIT OF A GRAIN SEEDER WITH CONTINUOUS RUBBER COATING OF A VALVE WITH TRUNCATED CONE-SHAPED SPIKES." Niva Povolzhya, no. 1 (2022): 3004. http://dx.doi.org/10.36461/np.2022.61.1.010.

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Devyatkina, T. F., S. A. Devyatkin, D. V. Bochkarev, A. N. Nikolsky, and E. O. Obmolova. "APPLICATION OF HERBICIDES IS A RESERVE TO IMPROVE THE QUALITY OF SPRING RAPSEED OIL SEEDS UNDER CONDITIONS IN SOUTH AREAS OF THE NON-BLACK EARTH ZONE." Niva Povolzhya, no. 1 (2022): 1001. http://dx.doi.org/10.36461/np.2022.61.1.005.

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Galiullin, A. A., and E. A. Kalinichev. "SEED PRODUCTIVITY OF FESTULOLIUM DEPENDING ON CULTURATION METHODS IN THE FOREST-STEPPE OF THE MIDDLE VOLGA REGION." Niva Povolzhya, no. 1 (2022): 1008. http://dx.doi.org/10.36461/np.2022.61.1.018.

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Kovalsky, K. Y., А. N. Arefiev, Е. N. Kuzin, and Е. Е. Kuzina. "EFFECT OF DIATOMITE AND POULTRY MANURE ON THE PHYSICOCHEMICAL PROPERTIES OF GRAY FOREST SOILS AND CROP PRODUCTIVITY." Niva Povolzhya, no. 1 (2022): 1005. http://dx.doi.org/10.36461/np.2022.61.1.012.

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23

Ukhanov, D. A., A. D. Cherepanova, A. P. Ukhanov, and A. A. Khokhlov. "THERMO-OXIDATIVE STABILITY OF DIESEL MIXED FUEL." Niva Povolzhya, no. 1 (2022): 3003. http://dx.doi.org/10.36461/np.2022.61.1.006.

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24

Koshelyaev, V. V., R. R. Denmukhamedov, and I. P. Koshelyaeva. "THE EFFECT OF SENICATION AT DIFFERENT LEVELS OF MINERAL NUTRITION ON THE YIELD OF CERTIFIED WINTER WHEAT SEEDS." Niva Povolzhya, no. 1 (2022): 1009. http://dx.doi.org/10.36461/np.2022.61.1.019.

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Ganeev, R. R., S. М. Marchenko, and М. Y. Zverko. "SLAUGHTER AND MEAT QUALITIES OF LAMBS OF THE ROMANOV BREED DEPENDING ON SLAUGHTER AGE." Niva Povolzhya, no. 1 (2022): 2003. http://dx.doi.org/10.36461/np.2022.61.1.017.

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Marakaeva, T. V., T. V. Gorbachev, and E. V. Falaleeva. "PROTECTION EFFICIENCY OF LENTIL CROPS FROM WEEDS IN THE CONDITIONS OF THE SOUTHERN FOREST-STEPPE OF THE OMSK REGION." Niva Povolzhya, no. 1 (2022): 1006. http://dx.doi.org/10.36461/np.2022.61.1.015.

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Chekaev, N. P., Yu V. Blinokhvatova, A. V. Nushtaeva, and V. O. Nogaev. "THE EFFECT OF MICROBIOLOGICAL FERTILIZERS AND CHEMICAL PROTECTANTS ON THE SOWING QUALITIES OF AGRICULTURAL SEEDS." Niva Povolzhya, no. 1 (2022): 1003. http://dx.doi.org/10.36461/np.2022.61.1.009.

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Mamatkulova, Sh Kh, G. F. Mamatkulova, V. S. Kamburova, M. М. Darmanov, and E. А. Latypova. "EFFECT OF MICROBIOLOGICAL BIOFERTILIZERS ON COTTON FIBER QUALITY AND EXPRESSION OF GENES RESPONSIBLE FOR THE TRAIT DEVELOPMENT." Niva Povolzhya, no. 1 (2022): 1004. http://dx.doi.org/10.36461/np.2022.61.1.011.

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Medvedeva, I. N., S. V. Chirkov, and Z. А. Upilkova. "EFFECTS OF GROWTH REGULATORS OF THE CHALCONE GROUP ON YIELD AND DISEASES OF SPRING CEREAL CROPS IN THE WESTERN PIEDMONT OF THE URAL MOUNTAINS." Niva Povolzhya, no. 1 (2022): 1007. http://dx.doi.org/10.36461/np.2022.61.1.016.

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Zyabirov, I. M., and A. I. Zyabirov. "IMPLEMENTATION OF A STATISTICAL METHOD FOR FINDING THE OPTIMAL INSTALLATION POINT OF A VIBRATION SENSOR." Niva Povolzhya, no. 1 (2022): 3005. http://dx.doi.org/10.36461/np.2022.61.1.014.

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Shishkina, T. V., and E. V. Zdorovyeva. "MILK PRODUCTIVITY AND THE NATURE OF LACTATION PERFORMANCE OF BLACK-AND-WHITE COWS." Niva Povolzhya, no. 1 (2022): 2001. http://dx.doi.org/10.36461/np.2022.61.1.004.

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Machnev, A. V., V. A. Machnev, K. Z. Kukhmazov, I. A. Uspensky, P. N. Khorev, and V. A. Merzlyakov. "JUSTIFICATION OF THE USE OF A ROTARY FEEDER IN PNEUMATIC MACHINES AND EQUIPMENT." Niva Povolzhya, no. 1 (2022): 3001. http://dx.doi.org/10.36461/np.2022.61.1.002.

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Grigoriev, M. F., N. M. Chernogradskaya, A. I. Grigorieva, A. V. Popova, and M. M. Doktorov. "PROTEIN BIOCONVERSION AND FEED EFFICIENCY OF SHEEP WHEN INCLUDING NON-TRADITIONAL FEED ADDITIVES IN THEIR DIETS." Niva Povolzhya, no. 1 (2022): 2002. http://dx.doi.org/10.36461/np.2022.61.1.008.

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Ilyina, G. V., S. A. Sashenkova, D. Yu Ilyin, and A. R. Dashkina. "ECOLOGICALLY JUSTIFIED METHODS OF SELECTION OF STRAINS OF MICROMYCETES WITH HIGH CELLULASE ACTIVITY." Niva Povolzhya, no. 1 (2022): 1010. http://dx.doi.org/10.36461/np.2022.61.1.013.

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Vasin, V. G., N. G. Mikhalkin, N. V. Vasina, V. E. Kim, and E. S. Fadeeva. "YIELD STRUCTURE OF SPRING WHEAT WHEN APPLYING FERTILISERS AND STIMULATING PREPARATIONS." Niva Povolzhya, no. 1 (2022): 1011. http://dx.doi.org/10.36461/np.2022.61.1.020.

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Manukyan, I. R., N. N. Doguzova, and T. S. Abieva. "BREEDING WINTER WHEAT FOR RESISTANCE TO BROWN RUST." Niva Povolzhya, no. 3 (2021): 3–8. http://dx.doi.org/10.36461/np.2021.60.3.008.

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Pint, E. M., I. N. Petrovnina, K. A. Yelichev, and V. A. Skorokhodov. "OPTIMIZATION OF METHOD FOR PRINTED TEXTS IMAGE RECOGNITION." Niva Povolzhya, no. 3 (2021): 80–87. http://dx.doi.org/10.36461/np.2021.60.3.002.

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Chupshev, A. V. "JUSTIFICATION OF THE PROSPECTIVE OPERATIONAL SCHEME PREPARATION OF MIXED FODDER CONCENTRATES IN THE CONDITIONS OF LIVESTOCK ENTERPRISES." Niva Povolzhya, no. 3 (2021): 135–41. http://dx.doi.org/10.36461/np.2021.60.3.022.

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Nurullin, E. G., I. R. Zainutdinov, and R. A. Faizullin. "PNEUMATIC LOADING DEVICE FOR MOBILE SEED DRESSERS OF CEREAL CROPS." Niva Povolzhya, no. 3 (2021): 142–51. http://dx.doi.org/10.36461/np.2021.60.3.019.

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Galiullin, A. A., and E. A. Kalinichev. "FESTULOLIUM AGROCENOSIS FORMATION DEPENDING ON VARIETY CHARACTERISTICS AND SEED TREATMENT WITH MICRONUTRIENT FERTILIZERS AND BACTERIAL PREPARATIONS." Niva Povolzhya, no. 3 (2021): 67–74. http://dx.doi.org/10.36461/np.2021.60.3.021.

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Kshnikatkin, S. A., P. G. Alenin, I. A. Voronova, N. A. Karpov, I. A. Konnov, and K. S. Svetlichkina. "SCARIFIER FOR THE PRE-SOWING TREATMENT OF LEGUMINOUS GRASS SEEDS." Niva Povolzhya, no. 3 (2021): 126–34. http://dx.doi.org/10.36461/np.2021.60.3.015.

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Tkachuk, O. A., E. V. Efremova, S. V. Bogomazov, A. V. Lyandenburskaya, and A. A. Levin. "CURRENT STATE OF ORGANIC AGRICULTURE IN RUSSIA." Niva Povolzhya, no. 3 (2021): 46–51. http://dx.doi.org/10.36461/np.2021.60.3.012.

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Vershigorov, A. Y., N. P. Laryushin, A. V. Shukov, and A. N. Kalabushev. "LABORATORY RESEARCH ON THE SEEDING UNIT OF A GRAIN SEEDER WITH WITH GROOVE WALLS, INCLINATION OF THE RIBS AND GROOVES OF THE SECTIONAL ROLLER." Niva Povolzhya, no. 3 (2021): 102–6. http://dx.doi.org/10.36461/np.2021.60.3.004.

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Ageev, B. V. "RELEVANCE OF PROBIOTICS IN POULTRY FARMING." Niva Povolzhya, no. 3 (2021): 75–79. http://dx.doi.org/10.36461/np.2021.60.3.016.

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Pint, E. M., I. N. Petrovnina, K. A. Yelichev, and V. A. Skorokhodov. "OPTIMIZATION OF METHOD FOR PRINTED TEXTS IMAGE RECOGNITION." Niva Povolzhya, no. 3 (2021): 80–87. http://dx.doi.org/10.36461/np.2021.60.3.002.

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Manukyan, I. R., N. N. Doguzova, and T. S. Abieva. "BREEDING WINTER WHEAT FOR RESISTANCE TO BROWN RUST." Niva Povolzhya, no. 3 (2021): 3–8. http://dx.doi.org/10.36461/np.2021.60.3.008.

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Chupshev, A. V. "JUSTIFICATION OF THE PROSPECTIVE OPERATIONAL SCHEME PREPARATION OF MIXED FODDER CONCENTRATES IN THE CONDITIONS OF LIVESTOCK ENTERPRISES." Niva Povolzhya, no. 3 (2021): 135–41. http://dx.doi.org/10.36461/np.2021.60.3.022.

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Nurullin, E. G., I. R. Zainutdinov, and R. A. Faizullin. "PNEUMATIC LOADING DEVICE FOR MOBILE SEED DRESSERS OF CEREAL CROPS." Niva Povolzhya, no. 3 (2021): 142–51. http://dx.doi.org/10.36461/np.2021.60.3.019.

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Galiullin, A. A., and E. A. Kalinichev. "FESTULOLIUM AGROCENOSIS FORMATION DEPENDING ON VARIETY CHARACTERISTICS AND SEED TREATMENT WITH MICRONUTRIENT FERTILIZERS AND BACTERIAL PREPARATIONS." Niva Povolzhya, no. 3 (2021): 67–74. http://dx.doi.org/10.36461/np.2021.60.3.021.

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Kshnikatkin, S. A., P. G. Alenin, I. A. Voronova, N. A. Karpov, I. A. Konnov, and K. S. Svetlichkina. "SCARIFIER FOR THE PRE-SOWING TREATMENT OF LEGUMINOUS GRASS SEEDS." Niva Povolzhya, no. 3 (2021): 126–34. http://dx.doi.org/10.36461/np.2021.60.3.015.

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