bluuebunny/crossref_metadata_2025 huggingface dataset:
PERHITUNGAN PRODUKTIVITAS PERALATAN BERAT PADA PROYEK JALAN TOL SEMARANG – DEMAK SEKSI 1C KM 35+400 SAMPAI DENGAN 36+400
Authors: Rumbyarso Yonas Prima Arga
Published: January 2024

Proyek infrastruktur khususnya pekerjaan perkerasan lentur memerlukan kendaraan berat. pemakaian kendaraan  berat  merupakan faktor penting serta paling utama di dalam membantu berhasilnya proyek infrastruktur jalan aspal tersebut. Di dalam pekerjaannya kapasitas daya produksi kendaraan berat memegang peranan penting atau vital dalam progress pelaksanaan proyek, dimana sangat memerlukan sebuah perhitungan analisis kapasitas volume daya produksi pekerjaannya. Adapun tujuan dari penelitian  ini  adalah guna mengetahui kapasitas volume pekerjaan pada proyek pembangunan Jalan Tol Semarang – Demak seksi 1C KM 35+400 sampai dengan KM 36+400 untuk mengetahui kapasitas daya produksi asphalt finisher, dump truck, pneumatic tire roller, serta tandem roller, pada proyek pembangunan Jalan Tol Semarang – Demak seksi 1C KM 35+400 sampai dengan KM 36+400. Metode perhitungan analisis yang dipakai ialah dengan menggunakan metode volumetric, penggunaan metode ini ialah untuk menganalisis atau menghitung kapasitas volume & daya produksi kendaraan berat pada  pekerjaan  pembangunan  Jalan Tol Semarang – Demak seksi 1C KM 35+400 sampai dengan KM 36+400. Dari  hasil  perhitungan atau hasil analisis yang didapatkan oleh peneliti, maka rumusan yang didapat ialah bahwa analisis perhitungan volume & produktivitas kendaraan berat yang digunakan pada pembangunan proyek ini telah sesuai dengan jadwal atau schedule yang sudah direncanakan sebelumnya.
RASIO KEPADATAN UDARA TERHADAP PERILAKU FORMASI PENGABUTAN BAHAN BAKAR CAMPURAN BIODIESEL
Authors: Hakim Lukman , Noor M. Fathuddin , Wahyudi Djoko , Ilminnafik Nasrul , Kurniawan Eva
Published: January 2024

Rasio kepadatan udara memiliki peran penting dalam pengabutan bahan bakar, Pengabutan bahan bakar yang baik mampu dengan cepat mengubah fase bahan bakar cair ke dalam bentuk gas. Tujuan penelitian ini mengamati karakteristik pengabutan bahan bakar campuran biodiesel dan etanol. Metode Penelitian menggunakan metode ekperimental, Komposisi bahan bakar adalah B30+E5 (B30 sebanyak 95% dan etanol 5%), B30+E7 (B30 sebanyak 93% dan etanol 7%). Kepadatan udara di atur menggunakan sensor tekanan udara Tegangan Kerja: 5.0 VDC, Tegangan Keluaran: 0,5-4,5 VDC, Tekanan Kerja: 0-0,5 MPa. Tekanan injeksi 14,7 bar, pompa injeksi menggunakan pompa injeksi otomatis, variasi tekanan kompresi udara 2 bar, 3 bar, dan 4 bar. Hasil Penelitian peningkatan kepadatan udara mengakibatkan panjang pengabutan menurun, sudut pengabutan meningkat dan kecepatan pengabutan menurun.
APRENDIZAGEM INCLUSIVA: DESAFIOS E OPORTUNIDADES DO ESPAÇO ESCOLAR
Authors: Félix Henrique da Silva , Corrêa Edson José dos Santos , Coutinho Diogenes José Gusmão
Published: January 2024

O presente artigo teve como objetivo explorar as culturas de aprendizagem inclusivas e examinar os desafios e oportunidades associados ao espaço escolar. Focando nos desafios, abordamos as barreiras físicas e atitudinais que muitas vezes impedem o pleno acesso de alunos com necessidades especiais. Para atingir tal objetivo, nossa pesquisa adotou uma abordagem qualitativa, baseada em revisão bibliográfica de fontes acadêmicas e reflexões sobre práticas pedagógicas inclusivas. Em nossas considerações finais, recapitulamos os principais pontos discutidos no artigo, e também enfatizamos a importância de criar uma cultura inclusiva nas escolas.
Global Sensitivity Analysis of simulated polarimetric remote sensing observations over snow
Authors: Myers Gabriel Harris , Chen Nan , Ottaviani Matteo
Published: January 2024

Abstract. This study presents a detailed theoretical assessment of the information content of polarimetric observations over snow scenes, using a global sensitivity analysis (GSA) method. Conventional sensitivity studies focus on varying a single parameter while keeping all other parameters fixed. In contrast, the GSA correctly addresses parameter covariance across the entire parameter space. The forward simulations exploit a vector radiative transfer model to obtain the Stokes vector emerging at the top of the atmosphere for different solar zenith angles, when the bottom boundary consists of a vertically resolved snowpack of non-spherical grains. The presence of light-absorbing impurities (LAIs), either embedded in the snow or aloft in the atmosphere above in the form of aerosols, is also considered. The results are presented for a set of wavelengths spanning the visible (VIS), near-infrared (NIR) and short-wave infrared (SWIR) region of the spectrum. The GSA correctly captures the expected, high sensitivity of the reflectance to LAIs in the VIS-NIR, and to grain size at different depths in the snowpack in the NIR-SWIR. When present in the snow or in the atmosphere, LAIs introduce correlated information on grain size in the VIS. Such sensitivity can be disentangled by including multi-spectral and multi-angle polarimetric measurements, leading to a better estimate of grain shape and ice crystal roughness, and in turn of the asymmetry parameter which is critical for the determination of albedo. Polarimetry in the SWIR also contains information on aerosol optical thickness while remaining essentially unaffected when the same impurities are embedded in the snow, so that it can effectively partition LAIs between the atmosphere and the surface (a notorious challenge for snow remote sensing based on measurements of total reflectance only) as prospected in a precursor study. The GSA results were used to select state parameters in retrievals performed on data simulated for plausible polar conditions and for multiple instrument configurations. Mono-angle measurements of total reflectance in the VIS-SWIR (akin to MODIS) resolve grain size in the top layer of the snowpack sufficiently well. The addition of multi-angle polarimetric observations in the VIS-NIR provides information on grain shape and microscale roughness, significantly decreasing the uncertainty in the derived impurity concentration and aerosol optical depth. The results encourage the development of new remote sensing algorithms that fully leverage multi-angle and polarimetric capabilities of modern remote sensors, like those onboard the upcoming PACE and 3MI spaceborne missions. The better characterization of surface and atmospheric parameters in snow-covered regions of the cryosphere ultimately benefits albedo estimates in climate models.
Addressing soil data needs and data-gaps in catchment scale environmental modelling: the European perspective
Authors: Szabó Brigitta , Kassai Piroska , Plunge Svajunas , Nemes Attila , Braun Péter , Strauch Michael , Witing Felix , Mészáros János , Čerkasova Natalja
Published: January 2024

Abstract. To effectively guide agricultural management planning strategies and policy, it is important to simulate water quantity and quality patterns and quantify the impact of land use and climate change on underlying processes. Environmental models that depict alterations in surface and groundwater quality and quantity at a catchment scale require substantial input, particularly concerning movement and retention in the unsaturated zone. Over the past few decades, numerous soil information sources, containing structured data on diverse basic and advanced soil parameters, alongside innovative solutions to estimate missing soil data, have become increasingly available. This study aims to: i) catalogue open-source soil datasets and pedotransfer functions (PTFs) applicable in simulation studies across European catchments, ii) evaluate the performance of selected PTFs and iii) present compiled R scripts proposing estimation solutions to address soil physical, hydraulic, and chemical soil data needs and gaps in catchment-scale environmental modelling in Europe. Our focus encompassed basic soil properties, bulk density, porosity, albedo, soil erodibility factor, field capacity, wilting point, available water capacity, saturated hydraulic conductivity, and phosphorus content. We aim to recommend widely supported data sources and pioneering prediction methods that maintain physical consistency, and present them through streamlined workflows.
Response of protonated, adduct, and fragmented ions in Vocus proton-transfer-reaction time-of-flight mass spectrometer (PTR-ToF-MS)
Authors: Li Fangbing , Huang Dan Dan , Tian Linhui , Yuan Bin , Tan Wen , Zhu Liang , Ye Penglin , Worsnop Douglas , Hoi Ka In , Mok Kai Meng , Li Yong Jie
Published: January 2024

Abstract. Volatile organic compounds (VOCs) affect secondary pollutant formation via active chemistry. Proton-transfer-reaction mass spectrometry (PTR-MS) is one of the most important techniques to study the highly variable spatial and temporal characteristics of VOCs. The response of protonated, adduct, and fragmented ions in PTR-MS in changing instrument settings and varying relative humidity (RH) requires rigorous characterization. Herein, dedicatedly designed laboratory experiments were conducted to investigate the response of these ions for 21 VOCs, including 12 oxygenated VOCs and two nitriles, using the recently developed Vocus PTR-MS. Our results show that the focusing ion-molecule reactor (FIMR) axial voltage increases sensitivity by three to four orders of magnitude but does not significantly change the fractions of protonated ions. Reducing the FIMR pressure, however, substantially increases fragmentation. Applying a high radio frequency (RF) amplitude radially on FIMR can enhance sensitivity by one to two orders of magnitude without affecting the protonated ion fractions. The change in big segmented quadrupole (BSQ) amplitude mainly affects sensitivity and protonated ion fraction by modifying ion transmission. The relationship between sensitivity and proton-transfer reaction rate constant is complicated by the influences from both ion transmission and protonated ion fraction. The protonated ions of most VOCs studied (19 out of 21) show less than 15 % variations in sensitivity as RH increases from ~5 % to ~85 %, except for some long-chain aldehydes which show a positive RH variation of up to 30 %. Our results suggest that the Vocus PTR-MS can reliably quantify the majority of VOCs under ambient conditions with varying RH. However, caution is advised for small oxygenates such as formaldehyde and methanol due to their low sensitivity, as well as for long-chain aldehydes for their slight RH dependence and fragmentation.
High-frequency Internal Waves, High-mode Nonlinear Waves and K-H Billows on the South China Sea's Shelf Revealed by Marine Seismic Observation
Authors: Meng Linghan , Song Haibin , Guan Yongxian , Yang Shun , Zhang Kun , Liu Mengli
Published: January 2024

Abstract. From July to September 2009, a set of multi-channel seismic data was collected in the northern shelf area of the South China Sea. After the data was processed, we observed a series of shoaling events on one of the survey lines, including high-frequency internal waves, high-mode nonlinear internal waves, and shear instability. Using theoretical results from previous numerical simulations and field observations, coupled with local temperature and salinity data, we analyzed their depth distribution, waveform characteristics, and formation mechanisms, and discussed the influence of seafloor topography and stratification on the shoaling of solitary internal waves. We estimated the mixing parameters of seawater using a parameterization scheme based on hydrographic data and seismic data, respectively. And we found that the diapycnal mixing caused by these shoaling events in the shelf area were about 3.5 times greater than those on the slope. Consequently, the fission of internal solitary waves and the induced shear instability serve as significant mechanisms for the energy dissipation of internal solitary waves at the slope and shelf of the South China Sea. Additionally, the high-frequency internal waves generated during shoaling might also have a crucial role in this process.
Comprehensive data set of in situ hydraulic stimulation experiments for geothermal purposes at the Äspö Hard Rock Laboratory (Sweden)
Authors: Zang Arno , Niemz Peter , von Specht Sebastian , Zimmermann Günter , Milkereit Claus , Plenkers Katrin , Klee Gerd
Published: January 2024

Abstract. In this article, a high-resolution acoustic emission sensor, accelerometer, and broadband seismometer array data set is made available and described in detail from in situ experiments performed at Äspö Hard Rock Laboratory in May and June 2015. The main goal of the hydraulic stimulation tests in a horizontal borehole at 410 m depth in naturally fractured granitic rock mass is to demonstrate the technical feasibility of generating multi-stage heat exchangers in a controlled way superiorly to former massive stimulations applied in enhanced geothermal projects. A set of six, sub-parallel hydraulic fractures is propagated from an injection borehole drilled parallel to minimum horizontal in situ stress and is monitored by an extensive complementary sensor array implemented in three inclined monitoring boreholes and the nearby tunnel system. Three different fluid injection protocols are tested: constant water injection, progressive cyclic injection, and cyclic injection with a hydraulic hammer operating at 5 Hz frequency to stimulate a crystalline rock volume of size 30 m × 30 m × 30 m at depth. We collected geological data from core and borehole logs, fracture inspection data from an impression packer, and acoustic emission hypocenter tracking and tilt data, as well as quantified the permeability enhancement process. The data and interpretation provided through this publication are important steps in both upscaling laboratory tests and downscaling field tests in granitic rock in the framework of enhanced geothermal system research. Data described in this paper can be accessed at GFZ Data Services under https://doi.org/10.5880/GFZ.2.6.2023.004 (Zang et al., 2023).
A new repository of electrical resistivity tomography and ground penetrating radar data from summer 2022 near Ny-Ålesund, Svalbard
Authors: Pace Francesca , Vergnano Andrea , Godio Alberto , Romano Gerardo , Capozzoli Luigi , Baneschi Ilaria , Doveri Marco , Santilano Alessandro
Published: January 2024

Abstract. We present the geophysical data set acquired in the summer of 2022 close to Ny-Ålesund (Western Svalbard, Brøggerhalvøya peninsula – Norway) as part of the project ICEtoFLUX. The aim of the investigation is to characterize the role of groundwater flow in correspondence of the active layer as well as through and/or below the permafrost. The data set is composed of Electrical Resistivity Tomography (ERT) and Ground Penetrating Radar (GPR) surveys, which are well-known geophysical techniques for the characterization of glacial and hydrological processes and features. 18 ERT profiles and 10 GPR lines were acquired, for a total surveyed length of 9.3 km. The data have been organized in a consistent repository that includes both raw and processed (filtered) data. Some representative examples of 2D models of the subsurface are provided, that is, 2D sections of electrical resistivity (from ERT) and 2D radargrams (from GPR). These examples can support the identification of the active layer. The data set is of major relevance because there is little geophysical data published about the Ny-Ålesund area. Moreover, these geophysical data can foster multidisciplinary scientific collaborations in the fields of hydrology, glaciology, climate, geology, geomorphology, etc. The geophysical data are provided in a free repository and can be accessed at the repository under data doi (Pace et al., 2023, https://zenodo.org/doi/10.5281/zenodo.10260056).
Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
Authors: Dubois Kévin , Dahl Larsen Morten Andreas , Drews Martin , Nilsson Erik , Rutgersson Anna
Published: January 2024

Abstract. Extreme sea levels may cause damage and the disruption of activities in coastal areas. Thus, predicting extreme sea levels is essential for coastal management. Statistical inference of robust return level estimates critically depends on the length and quality of the observed time series. Here, we compare two different methods for extending a very short (∼ 10-year) time series of tide gauge measurements using a longer time series from a neighbouring tide gauge: linear regression and random forest machine learning. Both methods are applied to stations located in the Kattegat Basin between Denmark and Sweden. Reasonable results are obtained using both techniques, with the machine learning method providing a better reconstruction of the observed extremes. By generating a set of stochastic time series reflecting uncertainty estimates from the machine learning model and subsequently estimating the corresponding return levels using extreme value theory, the spread in the return levels is found to agree with results derived by more physically based methods.
Improving the Economic Efficiency of the Enterprise
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, RAUANDINA Guldaray , ZHUMANBAYEVA Tuganay , ABDIKARIMOVA Aiman , SIYAZBEK Aidyn
Published: January 2024

Factors that can be controlled by an enterprise at a certain level (suppliers, buyers, competitors, labor market) are defined as factors of direct influence. By establishing close cooperation with suppliers, many enterprises have the opportunity to improve product quality, save money, and quickly enter new markets. To beat the competition, you need to pay close attention to customers and come up with new ways to attract and retain them. In the process of increasing production efficiency, it is necessary to take into account the basic strategic principles. Since the labor market consists of people who can be hired by the enterprise, their high level of qualifications has a direct impact on improving efficiency. When considering ways to increase the economic efficiency of an enterprise, not only each factor is considered separately, but also ways to supplement and compare them are considered.
Possibilities of Organizing a Server, Chat and Security in Developing an Educational Information Portal Based on Machine Learning in the Educational Process
Authors:   NPJSC «L.N. Gumilyov Eurasian National University», Kazakhstan, Astana, Satpayev Street, 2,, SERIK Meruyert , DUISEGALIYEVA Nassipzhan ,   NPJSC «L.N. Gumilyov Eurasian National University», Kazakhstan, Astana, Satpayev Street, 2,, TLEUMAGAMBETOVA Danara , SAMASHOVA Gulfarida ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,
Published: January 2024

Everyday information technologies create new opportunities for developing any industry in the world. Most of these opportunities are related to the development of machine learning. With the help of machine learning technology, it is possible to adapt the educational process to each student and build an individual trajectory. This article discusses the possibilities of creating an information educational portal for students using machine learning technology. The report aims to create an information portal using machine learning technology's capabilities and consider measures to ensure its security. The structure of the information portal includes a biometric system necessary for registration in the doorway, a chatbot, feedback on the portal's organization, theoretical materials, practical work, independent work, and video content. Experimental work began with students of the educational programs «6B01511-Informatics», «7M01511-Informatics», «7M01525-STEM education», «8D01511-Informatics» of the L.N. Gumilyov Eurasian National University and continues with students of the leading universities of the republic.
Prospects for Food Security of the Republic of Kazakhstan
Authors:   NPJSC «Al-Farabi Kazakh National University», Kazakhstan, Almaty, Al-Farabi Avenue, 71,, MAKHANOVA Ainur , BYKOVA Olga ,   Plekhanov Russian University of Economics, Russia, Moscow, Stremyanny Lane, 36,, SMAGULOVA Gulzhikhan ,   NPJSC «Al-Farabi Kazakh National University», Kazakhstan, Almaty, Al-Farabi Avenue, 71,
Published: January 2024

The food security is one of the main economy sectors that identifies contemporary state of the country. This paper gives a background for the Kazakhstan’s current situation of food security. In the last three years’ Kazakhstan faced one of the biggest challenges since its independence. Global pandemic COVID-19 and conflict between Russia and Ukraine that led to devaluation of the tenge and high inflation rate. Shows where work needs to be done and how existing prospects can be supported. Also, the main threats and opportunities were analyzed through SWOT analyzing method. As a result, to improve the efficiency of managing the process of ensuring food security, it is necessary to improve the scientific justification of the developed state and regional programs; transform them into intersectoral models aimed at stimulating the production of final products of the agro-food complex; constantly inform rural producers about the activities of these programs; increase the size of subsidies and the level of cre
To the Question of Implementing Risk Management in Higher Education Institutions of Kazakhstan (on the Experience of Karaganda Buketov University
Authors:   NPLC «Karaganda Buketov University», Kazakhstan, Karaganda, University Street, 28,, SHUNKEYEVA Saule , DYAKOV Dmitrii ,   NPLC «Karaganda Buketov University», Kazakhstan, Karaganda, University Street, 28,
Published: January 2024

The article presents the experience of Karaganda Buketov University on the implementation of risk management into its business processes, on the formation of a culture of risk management. The implementation of risk management is based on five fundamental principles of an effective risk management culture, adherence to which can be traced at all stages of implementation. The purpose of the article is to show the integration of the forementioned principles in the process of implementing risk management at the university. In the context of the purpose of the study, the article describes in detail the stages of implementation, ways and mechanisms that contribute to the formation of a culture of risk management. The implementation of risk management at Karaganda Buketov University is based on a systematic approach with universal research methods.
Analysis of Diagnostic Methods for Electrochemical Corrosion on Overhead Power Lines With a Voltage of 220-500 kV
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, TARAN Nikolay , КALININ Alexey , KAVERIN Vladimir , SARSIKEEV Ermek ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,
Published: January 2024

. The analysis of major global emergency situations in the energy sector and the causes of emergency outages on overhead power lines with a voltage of 220-500 kV in the Republic of Kazakhstan has been carried out. The research touches upon the design features of portal-type supports. The causes of electrochemical corrosion of vulnerable nodes of supports of high-voltage overhead power lines are disclosed. The features of methods of diagnostics of the residual resource of metal elements of fastening of portal-type supports located underground are considered. The most promising methods for creating a remote monitoring system and application on overhead power lines in the Republic of Kazakhstan are recommended. Recommendations for further research are given.
Review of Solar Energy in Germany And Kazakhstan: Policy, Current State and Perspective
Authors:   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», Kazakhstan, Almaty, Satpayev Street, 22a,, MINAZHOVA Saulesh , BEKBAYEV Amangeldy ,   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», Kazakhstan, Almaty, Satpayev Street, 22a, KHOZHAGELDI Bolat ,   M.Kh. Dulaty Taraz Regional University, Kazakhstan, Taraz, Suleymenov Street, 7,, ABITAYEVA Rakhimash ,   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», Kazakhstan, Almaty, Satpayev Street, 22a,, MINBAYEVA Zauresh ,   M.Kh. Dulaty Taraz Regional University, Kazakhstan, Taraz, Suleymenov Street, 7,
Published: January 2024

Every year, the development of the solar industry is accelerating due to lower technology prices and industry decarbonizing issues. The article discusses the experience of deploying the solar industry in Germany and Kazakhstan. The article based on an analytical study of the current state and policy in the field of solar energy. Data for analysis taken from official reports of the International Energy Agency (IEA), the German Federal Ministry for Economics and Climate Protection (BMWK), the Ministry of Energy of the Republic of Kazakhstan and peer-reviewed literature. According to the analysis, the potential of solar energy around the world is huge. Due to the constant development of technology and cheaper prices, in the future, solar energy may become the primary source of electricity for many countries. For Germany, solar energy, as well as whole RES, are not only a source of electricity, but also a mechanism that ensures the country's energy security. For Kazakhstan, solar energy is a tool for the decarbonizing of energy sector. In order to reduce carbon emissions and introduce renewable sources to the level of Germany, Kazakhstan now needs to take transformative measures: modernize electrical networks and equipment, develop legislative regulation and incentives that allow the deployment of all types of solar technologies, ensure flexible capacities and create its own production of solar panels.
Evaluation of the Effectiveness of IoT Implementation Based on the 5G Network
Authors:   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», Kazakhstan, Almaty, Satpayev, KENGESBAYEVA Sara , TAISSARIYEVA Kyrmyzy ,   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», Kazakhstan, Almaty, Satpayev Street, 22a,, JOBALAYEVA Gulim ,   NCJSC «Kazakh National Research Technical University named after K.I. Satpayev», Kazakhstan, Almaty, Satpayev Street, 22a,
Published: January 2024

In recent years, wireless technologies have been actively developing at the global level. In the market of wireless technologies, 5G technology has become the most complex, large-scale and interesting topic in the study of wireless communication systems. The purpose of this work is to study the effectiveness of the implementation of the Internet of Things (IoT) in the 5G network, to build the 5G-IoT architecture and create a mathematical model. Also, to demonstrate the advantages of 5G network over existing technologies. The current LTE (4G) cellular network will not be sufficient and efficient to meet the requirements of simultaneous connection of multiple devices, high speed, high bandwidth and low latency Quality of Service (QoS). Bluetooth, Wi-Fi, WiMAX, Zigbee, Sigfox technologies cannot fully satisfy the basic requirements of IoT. In order to solve these problems, we considered 5G network as the most promising technology. This research work consists of the following parts: the first part reviews 5G and IoT technologies, their scope and advantages, the works of other authors in this field, the second part considers the architecture and mathematical model of 5G-IoT, the next part presents the results and their analysis, and the last part a conclusion was made
Application of Artificial Neural Network for Wheat Yield Prediction
Authors:   NPLC «Manash Kozybayev North Kazakhstan University», Kazakhstan, Petropavl, Pushkin Street, 86,, AUBAKIROVA Gailya , MOLDAKHMETOV Sayat ,   NPLC «Manash Kozybayev North Kazakhstan University», Kazakhstan, Petropavl, Pushkin Street, 86,, ZYKOVA Natalia ,   NPLC «Manash Kozybayev North Kazakhstan University», Kazakhstan, Petropavl, Pushkin Street, 86,, GAGOLINA Olga ,   NPLC «Manash Kozybayev North Kazakhstan University», Kazakhstan, Petropavl, Pushkin Street, 86,, DARIY Elena ,   NPLC «Manash Kozybayev North Kazakhstan University», Kazakhstan, Petropavl, Pushkin Street, 86,
Published: January 2024

The results of wheat yield forecasting based on an artificial neural network (ANN) are presented. The use of ANN is due to the use of such non-linear factors as air temperature and precipitation as predictors. The study also used meteorological, agrochemical and phytosanitary factors that have the greatest impact on wheat yield. These factors were used as input variables to the backpropagation neural network. After training the ANN and obtaining predictive data, good results were achieved for wheat yield prediction (p = 0.52, MAPE = 12.02%, RMSE = 3.368). The developed model can be easily adapted to other cultures and locations, and can also be improved by using new data sources
Formation of a Text Corpora in the Kazakh Language for Training and Testing Machine Methods for Detecting Extremist Information in Web Resources
Authors:   NPJSC «Al-Farabi Kazakh National University», Kazakhstan, Almaty, Al-Farabi Avenue, 71,, MUSSIRALIYEVA Shynar , BAISPAY Gulshat ,   NPJSC «Al-Farabi Kazakh National University», Kazakhstan, Almaty, Al-Farabi Avenue, 71,, BOLATBEK Milana ,   NPJSC «Al-Farabi Kazakh National University», Kazakhstan, Almaty, Al-Farabi Avenue, 71,, SAGYNAY Moldir ,   NPJSC «Al-Farabi Kazakh National University», Kazakhstan, Almaty, Al-Farabi Avenue, 71,, TEREIKOVSKYI Ihor ,   Igor Sikorsky Kyiv Polytechnic Institute, Ukraine, Kyiv, Beresteisky Avenue, 37,
Published: January 2024

The article deals with the issue of creating a corpus in the Kazakh language, which is necessary to create a semantic model for identifying extremist information on web resources. As a result of the study, text data was collected from closed groups of the VKontakte social network, YouTube comments and news sites using previously developed analytics. The texts were classified into two classes: «extremist» and «neutral». A corpus for further training of models was created. The total number of extremist messages included in the corpus is about 1,200, and the total number of words in the corpus is about 140,000 words. The distribution of extremist and neutral texts was carried out, the analysis of the corpus was carried out using a word cloud. The Python 3.7 programming language with pandas, numpy, matplotlib, plotly, bokeh, cufflinks, spacy, googletrans packages was used as the main calculation and visualization libraries for data analysis. Signs of texts of extremist content were identified.
Analysis of Shaft Defects of Electric Motors and Methods of Their Restoration
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, ZHARKEVICH Olga , TAIMANOVA Gulnara ,   NPJSC «Al-Farabi Kazakh National University», Kazakhstan, Almaty, Al-Farabi Avenue, 71,, MUKHITOVA Adeliya ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,
Published: January 2024

The purpose of the article is to determine the defects of the surfaces of the electric motors shafts and the choice of a rational way to restore them. The mechanisms of destructions in the electric motors shafts are determined. They include wear, fatigue, corrosion, overloads. The reasons for the occurrence of failure mechanisms in the electric motors shafts are described. The classification of defects in electric motor shafts is given, taking into account the failure mechanism. The nature of the appearance of surface defects on the electric motors shafts during operation is described. Methods for restoring the electric motors shafts have been established.
Investigation of the Influence of Plasma Hardening on the Processes of Hardening of Heavily Loaded Parts of Soil-cutting Machines
Authors:   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, KOSSANOVA Indira , TOLEUOVA Ainagul ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, KANAYEV Amangel ,   NCJSC «S. Seifullin Kazakh Agro Technical Research University», Kazakhstan, Astana, Zhenis Avenue, 62,, BAIZHAN Daryn ,   NCJSC «Sarsen Amanzholov East Kazakhstan University», Kazakhstan, Oskemen, 30th Guards Division Street, 34,, AMENOVA Aliya ,   NPJSC «Karaganda Industrial University», Kazakhstan, Temirtau, Republic Avenue, 30,
Published: January 2024

The influence of plasma hardening on the processes of hardening of heavily loaded and, therefore, high-wear parts of the working bodies of soil-cutting machines has been studied. It is shown that during surface plasma hardening of a plow share made of 65G structural steel, a gradient-layered (mixed) structure is formed in a hardened zone 0.8 mm thick, consisting of a finely dispersed mixture of fine-grained austenite decomposition products with varying microhardness in the range of 760-395 HV. It has been established that the formation of a finely dispersed configuration and the features of its formation after surface plasma treatment are explained by ultra-high heating and cooling rates, which are unattainable with traditional heat treatment methods. During plasma treatment of parts, metastable structures with high strength and wear resistance are formed. The result of hardening the plow share by plasma hardening in the form of a modified layer with a finely dispersed configuration is obtained, an increase in the wear resistance of the plow share is observed compared to serial parts subjected to traditional heat treatment and a significant reduction in the cost of the hardening process due to the use of an economical, sufficiently productive surface plasma hardening technology
Formation of Nonmetallic Inclusions in Yttrium-modified Steels
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56., MAKULBEK Alida , ZHOLDUBAEVA Zhumagul ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56., OMAROVA Aidana ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56.
Published: January 2024

One of the promising areas in metallurgy is the study of the modifying abilities of rare earth metals (REM), among which yttrium is of particular interest. Having combined properties, yttrium acts as a complex modifier, so its use for modifying iron-carbon melts is of great interest. The paper studies the effect of modification of low-alloy steel with yttrium on the formation of non-metallic inclusions and the amount of modifier additives on the type and size of inclusions. Yttrium, interacting with a metal melt, forms refractory crystal systems of oxides, nitrides and carbonitrides. Such formation of forced centers not only improves the conditions of crystallization of liquid metal, but also has a positive effect on the processes of transformation in the solid state. This increases the overall level of metal quality, its ductility and strength in a wide temperature range, increases resistance to high-temperature corrosion
Studies of the Production of Iron Ore Agglomerate from Rolling Scale
Authors:   NCJSC «Toraighyrov University», Kazakhstan, Pavlodar, Lomov Street, 64,, ZHUNUSSOV Abylay , KENZHEBEKOVA Anar ,   NCJSC «Toraighyrov University», Kazakhstan, Pavlodar, Lomov Street, 64,, ZHUNUSSOVA Aigul ,   NCJSC «Toraighyrov University», Kazakhstan, Pavlodar, Lomov Street, 64,
Published: January 2024

The results of a research of the agglomerate production from electric steelmaking wastes are presented. Rolling scale mixed with aspiration dust, final slags of out-of-furnace treatment was used as the main material, and screening of Maykubensky’s coal was used as fuel. The results of the study showed that sintering of rolling scale is advisable to sinter with screenings of Maykubensky’s coal. When sintering rolled scale with 8% of fuel, the best results of the agglomeration process were achieved. It should also be noted that it is advisable to use other steelmaking waste as an agglomeration charge, such as aspiration dust, final slags of non-furnace steel processing as fluxing materials. The sintering rate increases to 20.7 mm/min, the productivity increases significantly to 1.50 t/m2 ·hour. And also the yield on the suitable agglomerate is noticeably increased and the strength of the iron ore agglomerate increases
Methodological Approach to the Analysis and Assessment of Professional Risks
Authors:   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, SATTAROVA Gulmira , SPATAYEV Nurbek ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, BAIMENDI Alisher ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, KUSAINOV Ardak ,   NPJSC «Abylkas Saginov Karaganda Technical University», Kazakhstan, Karaganda, N. Nazarbayev Avenue, 56,, DEMINA Tatyana ,   Ural State Mining University, Russia, Yekaterinburg, Kuibyshev Street, 30,
Published: January 2024

An analysis implementing the requirements of regulatory legal acts on the assessment of professional risks was carried out. It is noted that the current regulatory legal acts regulate various approaches and methods of defining the same concept: the professional risk of an employee. The authors of the article propose a methodological approach to assessing occupational risks, which allows developing specific measures to prevent occupational injuries, occupational diseases and introducing an effective risk management system at enterprises. The proposed methodological approach is a combination of expert, probabilistic and statistical research methods of identifying potential hazards, analyzing their sources and establishing a set of criterion parameters and their values for risk assessment. The article presents the results of studying and assessing professional risks carried out for an organization performing non-destructive testing work on the main pipeline transporting oil and oil products. Multifactorial models are presented for determining the danger of falling of defect evaluators at the workplace and severity of the consequences of implementing hazards.
CICITLAC for the scientific and technological innovation in Latin America and the Caribbean
Authors: Morataya Cristina , Diaz Manuel
Published: January 2024

International Center for Innovation in Science and Technology for Latin America and the Caribbean (CICITLAC). A project in which its participants have been developing for more than two years. CICITLAC is the result of the laborious work of a team of entrepreneurs from Latin America, the Caribbean and China who believe and trust that innovation and scientific and technological development can bring numerous benefits to their participants.
Programas de inclusión productiva como mecanismo de superación de la pobreza (2014-2018). Retos y perspectivas para la política social mexicana a partir de la experiencia de América Latina
Authors: Manzano Rodríguez César Francisco , Ochoa León Sara María
Published: January 2024

El presente trabajo analiza los programas de inclusión productiva implementados en México durante el periodo 2014-2018 y hace una reflexión sobre los cambios observados en la administración federal actual (2018-2024) en este tipo de estrategias. Para ello se revisa la experiencia de programas similares implementados en América Latina y, a partir del análisis de sus características de diseño, se propone una tipología de clasificación en tres grupos: programas articulares de oferta pública, programas de acompañamiento y programas integrales. Asimismo, utilizando el método de análisis cualitativo comparativo se identifican aquellas características de diseño de los programas de inclusión productiva asociadas a un impacto positivo en términos de aumento de los ingresos y reducción de la pobreza. Al respecto, se encuentra que la capacitación personalizada y la asistencia técnica en este tipo de programas son características fundamentales para alcanzar resultados positivos. La experiencia latinoamericana en la implementación de programas de inclusión productiva genera evidencia que contribuye a la discusión sobre la necesidad de explorar este tipo de herramientas como mecanismos de superación de la pobreza en México, particularmente en el marco de la nueva administración.
La crisis del COVID-19 y su impacto en la economía de México y Sonora: la efectividad de la política social de la 4T para combatirla
Authors: Camberos Castro Mario , Bracamontes Nevárez Joaquín
Published: January 2024

A nivel mundial la pandemia ha dejado más de 236 millones de contagios y alrededor de 3 millones de muertos (OMS, 3 de octubre 2021), de los cuales 44 millones de contagios, así como poco más de 700 000 muertos corresponden a los Estados Unidos (John Hopkins University, 12 de octubre 2021); es necesario destacarlo porque incluso en este aspecto México ha observado un comportamiento similar en la ola de la pandemia con cerca de 3 730 millones de contagios y poco más de 283 000 muertos (John Hopkins University, 12 de octubre 2021). En lo económico, como consecuencia de la pandemia el mundo sufrió la caída de alrededor de 4% del producto interno bruto (PIB) (FMI), la pérdida de más de 400 000 empleos formales y de 2.5 billones de dólares de ingresos de los trabajadores (ILO, 2020); mientras que en el país del norte se estimó la caída de 2% del PIB y alrededor de 40 millones de desempleados o a medio sueldo que recibían apoyo del gobierno norteamericano (CNN News, 2020). ¿Qué sucedió en México? ¿Qué medidas se tomaron para combatir la pandemia? Para responder esto nos planteamos como objetivo de este trabajo mostrar el impacto del COVID-19 en el bienestar y las medidas de política social que implementó la Cuarta Transformación (4T) para enfrentarlo. Para enfrentar la crisis y proteger el bienestar de la población el gobierno de la 4T implementó la Nueva Política Social (NPS) basada en la filosofía “Primero los Pobres”, apuntalada por las transferencias monetarias directas a los hogares y los programas de empleo y construcción de mega-obras en la regiones más pobres del sur y sureste de México, permitieron reducir el impacto de la pandemia a 66 millones, 50.19% de la población, 6 millones más que en el 2018, pero la mitad de lo estimado inicialmente en más de 71 millones de pobres por la Comisión Económica para América Latina y el Caribe (CEPAL) y el propio Consejo Nacional de Evaluación de la Política de Desarrollo (Coneval), incluso menor al incremento alcanzado en las crisis del “error de diciembre” y de las “hipotecas;” por lo tanto, es recomendable continuar con la NPS, que en efecto funciono como una red de protección para los más vulnerables y las clases medias.
The Integration of Artificial Intelligence in Prosthodontic Practices
Authors: Binhuraib Haitham , Alzahrani Bayan , Almahdhi Sarah , Alzhrani Riyadh , Alasmari Mohammed , Albalawi Mashari , Alghabban Hattan , Aldhafyan Ahmed , Alamri Ayman , Almohaisen Talal , Alotaibi Khalid
Published: January 2024

The integration of intelligence (AI), in practices is a significant advancement in dental care, providing transformative solutions across different aspects of clinical management. By utilizing AI treatment planning, prosthetic design and overall patient care can be greatly improved. This review explores the state of AI applications in prosthodontics examining studies and advancements that support its integration into clinical workflows. This review explores the state of AI applications in prosthodontics, focusing on its impact on care and clinical use. From speeding up diagnostics through automated image analysis to revolutionizing design and improving treatment planning, AI has shown potential. The proactive management of complications and enhanced patient communication further highlight AI's influence in prosthodontics. However, challenges related to data security and the need for training should be carefully considered. It is essential for dental professionals to collaborate with AI developers to ensure effective implementation. As technology advances, further research will refine the role of AI in prosthodontics, leading to better outcomes for both practitioners and patients.
DAMPAK LINGKUNGAN KANDANG YANG BAIK PADA PETERNAKAN KAMBING ETAWA, DOMBA DI DESA PATUMBAK-I DELI SERDANG SUMATERA UTARA
Authors: Yulia Barky Neneng , Syahrial Hery , Saleh Khairul
Published: January 2024

Dengan memiliki masyarakat yang terlatih dalam mengelola dan memahami kandang kambing yang sehat,nyaman dan baik maka diharapkan kualitas layanan peternakan kandang  kambing  etawa,domba  akan  meningkat  dan  daya tarik  peternak  akan  meningkat, sehingga peternak akan merasa lebih puas dan tertarik untuk berternak kambing dengan lingkungan kandang kambing etawa,domba yang baik kembali atau merekomendasikan peternakan kandang kambing tersebut kepada orang lain. Selain itu,  pengabdian edukasi kapasitas masyarakat  juga  dapat  membantu  meningkatkan pengalaman peternakan dengan lingkungan kandang kambing etawa,domba, kambing lainnya. Dengan adanya masyarakat yang terlatih dalam memberikan informasi dan pelayanan, Peternakan kandang kambing yang baik dapat merasa lebih mudah dalam mengeksplorasi
MENTAL HEALTH SUPPORT FOR HIGHER EDUCATION STAFF IN TIMES OF CRISIS
Authors:   Medical College, Medical University – Varna, Bulgaria., Tarpomanova Tsvetelina , Slavova Veselina ,   Medical College, Medical University – Varna, Bulgaria.
Published: January 2024

The COVID-19 pandemic affected the mental health of higher education staff. Purpose: The aim of this study is to examine the impact of COVID-19 on the mental health of higher education staff. Materials and methods: The survey subjects were 165 university teachers of the Medical University in Varna. The following tools were used: a questionnaire to explore some aspects of the respondent's quality of life before and during the COVID-19 pandemic, HADS and the Maslach Burnout Inventory. Descriptive statistical methods, a t-test, correlation analysis, χ2 test and a multiple linear regression model were applied. SPSS version v.24.0 was used to process the survey data. The survey took place between October and December 2022. Results: The mean value on the anxiety scale was 5.61, SD = 4.027 and 3.62, SD = 3.39 on the depression scale. The mean score on the emotional exhaustion scale (ЕЕ) was 27.67. The mean in the depersonalization scale was 9.10, SD = 5.494. The personal accomplishment mean value was 44.78, SD = 8.006. The results from HADS depression and HADS anxiety showed a statistical significance for predicting the scores on the EE scale (β = 1.158, p = 0.0001 and β = 0.573, p = 0.021). The levels of stress before and during the pandemic had a statistically significant weak correlation with the EE scale. Conclusions: activities for general and selective prevention of occupational stress and burnout, based on stress-coping strategies, can be introduced in higher education.
Effect of Cost Determinants on Profitability-A Case Study
Authors: M. Kondala Rao, B Uma Maheswari Ponduri SB, Puligilla Prashanth Kumar,
Published: January 2024

Every business is working for profit. The aim of business is to increase profitability and minimize the cost with an objective of increasing share holder value. The current research is an empirical study of Kombolcha Textile Share Company concerning the effect of cost determinants on the profitability of the organization. This study finds the relationship between cost determinants and profitability. Convenience random sampling method is adopted to carry out the study in detail. From the total population, 64 employees are selected and questionnaires were distributed to all the responsible personnel to know their opinions on each statement. The collected statistical data was analyzed by using SPSS. It suggests that those cost determinants either basics or related determinants should be controlled under the systematic manner to reduce their effect on the profitability. Thus from the questionnaires, the study shows small differences on each cost determinants have stress on the profitability of the company.