bluuebunny/crossref_metadata_2025 huggingface dataset:
Understanding social care need through primary care big data: a rapid scoping review
Authors: Simpson Glenn , Mutindi Kaluvu Lucy , Stokes Jonathan , Roderick Paul , Chapman Adriane , Akyea Ralph Kwame , Zaccardi Francesco , Santer Miriam , Farmer Andrew , Dambha-Miller Hajira
Published: July 2022

Background

A more comprehensive understanding and measurement of adult social care need could contribute to efforts to develop more effective, holistic personalised care, particularly for those with multiple long-term conditions (MLTC). Progress in this area faces the challenge of a lack of clarity in the literature relating to how social care need is assessed and coded within variables included in primary care databases.

Aim

To explore how social care need is assessed and coded within variables included in primary care databases.

Design & setting

An exploratory rapid scoping review of peer-reviewed articles and grey literature.

Method

Articles were screened and extracted onto a charting sheet and findings were summarised descriptively. Articles were included if published in English and related to primary and social care using data from national primary care databases.

Results

The search yielded 4010 articles. Twenty-seven were included. Six articles used the term ‘social care need’, although related terminology was identified including ‘need factors’, ‘social support’, and ‘social care support’. Articles mainly focused on specific components of social care need, including levels of social care usage or service utilisation and costs incurred to social care, primary care, and other providers in addressing needs. A limited range of database variables were found measuring social care need.

Conclusion

Further research is needed on how social care need has been defined in a UK context and captured in primary care big databases. There is potential scope to broaden the definition of social care need, which captures social service needs and wider social needs.
A Transparent Ultrasound Array for Real-Time Optical, Ultrasound, and Photoacoustic Imaging
Authors: Chen Haoyang , Agrawal Sumit , Osman Mohamed , Minotto Josiah , Mirg Shubham , Liu Jinyun , Dangi Ajay , Tran Quyen , Jackson Thomas , Kothapalli Sri-Rajasekhar
Published: July 2022

Objective and Impact Statement.
Simultaneous imaging of ultrasound and optical contrasts can help map structural, functional, and molecular biomarkers inside living subjects with high spatial resolution. There is a need to develop a platform to facilitate this multimodal imaging capability to improve diagnostic sensitivity and specificity.
Introduction
. Currently, combining ultrasound, photoacoustic, and optical imaging modalities is challenging because conventional ultrasound transducer arrays are optically opaque. As a result, complex geometries are used to coalign both optical and ultrasound waves in the same field of view.
Methods
. One elegant solution is to make the ultrasound transducer transparent to light. Here, we demonstrate a novel transparent ultrasound transducer (TUT) linear array fabricated using a transparent lithium niobate piezoelectric material for real-time multimodal imaging.
Results
. The TUT-array consists of 64 elements and centered at ~6 MHz frequency. We demonstrate a quad-mode ultrasound, Doppler ultrasound, photoacoustic, and fluorescence imaging in real-time using the TUT-array directly coupled to the tissue mimicking phantoms.
Conclusion
. The TUT-array successfully showed a multimodal imaging capability and has potential applications in diagnosing cancer, neurological, and vascular diseases, including image-guided endoscopy and wearable imaging.
The Chronology and Development of Bronze Age Sites in the Seomjin River-Tamjin River Basin
Authors:   The hoseo Archaeological Society, Hwang Jaehoon
Published: July 2022

As excavations have been conducted continuously in the Seomjin-Tamjin River basin since the 2010s, it has become possible to discuss the distribution, density, and chronology of Bronze Age sites throughout the region, away from research focused on the dolmen culture in a specific region. In addition, recently, with the discovery of dwellings and tombs in the Early Age and material culture corresponding to the Early-Middle Ages and the transition period of Middle-Early Iron Ages, it was possible to comprehensively examine the development of Bronze Age culture in the Seomjin-Tamjin River basin. The purpose of this paper is to organize the distribution and characteristics of the remains of the Seomjin-Tamjin River basin, and to explain the spatio-temporal development of the Bronze Age culture in this area based on the structure of dwellings and tombs, the types and shapes of Mumun pottery, and the analysis of excavated artifacts. For detailed analysis, the study area was divided into the upper, middle, and lower regions of the Seomjin River, the Boseong River Basin, and the upper and lower regions of the Tamjin River. As a result of the analysis, continuous occupation or sequential development process from early to middle period was not confirmed in the settlement and tombs in the Seomjin-Tamjin River basin. In other words, in the early period, the Misari type and Yeoksam-dong type were sporadically distributed in this area, showing a spatio-temporal disconnection. In the middle period, as material culture from various regions, such as the upper Geum River, Nakdong River basin, Yeongsan River basin, and the southern coast area, flowed into and diffused into this area, it became a transition zone where various cultural characteristics were mixed.
Backwards Stepwise Binary Logistic Regression for Determination Population Growth Rate Factor in Java Island
Authors: Khikmah Khusnia Nurul , Indahwati Indahwati , Fitrianto Anwar , Erfiani Erfiani , Amelia Reni
Published: July 2022

The high population growth rate can impact various fields due to several factors. Some of the impacts of this high rate are high poverty rates, unemployment, consumption levels, inequality in education figures, gender empowerment index, and increasingly narrow land or area. Therefore, research on the rate of population growth using data on poverty, unemployment, consumption levels, education rates, gender empowerment index, and area makes sense. This data was taken from the official website of the Central Statistics Agency for six provinces on the island of Java, Indonesia. The data used contains missing data so that the missing data is presumed by using the k-nearest neighbour method. The estimated missing data values were modelled using binary logistic regression. Variables that significantly affect the rate of population growth, namely the level of consumption, gender empowerment index, and area, are obtained using the backward stepwise method and are selected based on the smallest Aikakes criterion information value or the one with the most excellent accuracy rate.
Perbandingan Analisis Regresi Linear dengan Analisis Regresi Copula pada Data Keuangan
Authors: Khairiati Alfi , Budiarti Retno , Purnaba I Gusti Putu
Published: July 2022

Regression analysis is a statistical analysis to predict or explain the relationship between the response variable and one or more explanatory variables. The simplest and most commonly used regression analysis is linear regression. Copula regression is often used as an alternative method to overcome the problem of violating the assumptions of the linear regression model. The advantage of using copula regression is that the response variable does not have to follow a certain distribution and copula regression can explain nonlinear relationships. In this study, the copula used is the Gaussian copula and the student’s t copula. The main objective of this study is to compare the results of linear regression analysis with copula regression on financial data. In the linear regression method, the objective is to determine the estimated value of the response variable and to analyze the effect of macroeconomic factors on BMRI’s stock price. Meanwhile, copula regression was used to estimate the copula parameters using the Maximum Likelihood Estimation method and to determine the estimated value of the response variable using the Monte Carlo method. The measure of the accuracy of the model used is MAPE (Mean Absolute Percentage Error). This study uses financial data consisting of BMRI stock price data as response variables, as well as IHSG and the rupiah exchange rate as explanatory variables. The results showed that the MAPE values for linear regression and copula regression were small and not significantly different, meaning that both regressions were quite good in modeling financial data.
Systematic Literature Review on Troubleshooting Delivery of Production Product Using n-Vehicle with Vogel Total Difference Approach Method
Authors: Haq Al Fataa Waliyyul , Supian Sudradjat , Chaerani Diah
Published: July 2022

The product delivery strategy using n-vehicle is the application of optimization for transportation problems. The product delivery strategy using n-vehicle is useful for minimizing the shipping costs of a company’s production. This article presents a peer-reviewed bibliometric analysis based on the topic of production delivery strategies using n-vehicle. Overall, there are 91 articles from the Dimension, Science Direct, and Google Scholar databases in 2013-2021 that use the topic of production delivery strategies using n-vehicle based on the keywords ”Capacitated transportation problem” and ”cost” and ”vehicle” and” optimal solutions”. The researcher presents the relationship of each cited article so that it can show the collaboration of all the cited articles. This article aims to generate and review analysis results through Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) and State of The Art. Bibliometric analysis, PRISMA, and State of The Art show how the development of research on production delivery strategies using n-vehicle. So, it can produce suggestions in conducting the latest research related to studies on the topic of production delivery strategies using n-vehicle. Based on PRISMA’s analysis, 91 articles were obtained, of those 91 articles, 11 articles discussed the strategy of delivering production products using n-vehicle in depth. The State of The Art also shows how the development of research on production delivery strategies using n-vehicle is developing. It can be seen that apart from the classical method, other methods are also emerging to solve transportation problems. One of them is Vogel Total Difference Approach Method (VTDM).
Influence of small ground surface on plasma property in an inductively-coupled plasma with floating liner
Authors: Kyuzo Manabu , Chiba Yukinori , Suzuki Haruka , Toyoda Hirotaka
Published: July 2022

Currently, the components of semiconductor processing chamber are coated with oxides to avoid metal contamination. As a result, electrical ground is hidden from the plasma. In this study, we experimentally investigate the effect of small ground surfaces in an inductively-coupled plasma (ICP) generated in an electrically floating liner. Peak-to-peak and DC voltages at a biasing stage and a floating liner are measured as a function of stage peak-to-peak voltage for various ICP powers and the ground surface areas. The results show that the stage and liner voltages vary with changing ground surface area due to a change in sheath thickness. The analytical plasma potentials, calculated from the experimental values are compared with the simulation results, show good agreement. It is suggested that under low biased voltage and high ICP power conditions, such as in the atomic layer etching process, the small ground surface affects the potential structure in the chamber.
One-axis-oriented growth of PZT thin films on transparent glass substrates using metal oxide nanosheets
Authors: Yamasaki Yusuke , Yokota Yukie , Shima Hiromi , Uchida Hiroshi
Published: July 2022

Aiming at applications of ferroelectric and optical devices, we investigated the fabrication of one-axis-oriented lead zirconate titanate Pb(Zr,Ti)O3 (PZT) thin films on glass substrates with a processing temperature below the glass-transition point of the substrate. Chemical solution deposition (CSD)-derived PZT thin films with a preferential crystal orientation of (00l)/(h00)PZT were grown on an ITO/glass substrate with a crystalline buffer layer of calcium niobate Ca2Nb3O10 (ns-CN). This ns-CN buffer layer lowered the crystallization temperature of the CSD-derived thin films, resulting in crystalline PZT thin films with one-axis (00l) orientation and ferroelectricity of P
r = 4 μC cm−2 deposited on transparent glass substrates at a crystallization temperature of 500 °C.
The challenges of digital transformation, problems and promises : Case of Tunisian SMEs
Authors: Ben Hadj Hassine Amine
Published: July 2022

The objective of this article is to identify the challenges of Tunisian small and medium-sized enterprises (SMEs) in the implementation of Industry 4.0. Indeed, the Subject of Digital Transformation has its relevance as Industry 4.0 is considered as the first industrial revolution to be predicted before it happened. Competition from digital companies is disrupting business models, and leaders no longer have a choice: the time has come for digital transformation (Dussart, C, 2015). This transition is not new. It covers a necessary reality, especially for so-called traditional companies, which were not born in digital culture. Built on an old model, they must initiate and succeed in their transformation to remain competitive. This paper aims to analyze the opportunities brought by digital transformation for Tunisian companies. In our research and on the methodological section, we used an exploratory qualitative approach with Tunisian companies, using a questionnaire. The results of this investigation have shown that the great opportunities and challenges facing Tunisian companies are human capital in the first place, funding and above all methodological support. And the government must be the first to assist and support the digitization process.
Indonesian Generation Z Work Expectation and Intention to Apply for Job: Role of Social Media
Authors: Rani Inta Hartaningtyas , Jara Hardiyanti Jalih  , Lestari Adhi Widyowati
Published: July 2022

In the post-pandemic and disruption period, a company's talented human capital must be able to give competitiveness and agility. Considering the talent's expectations, businesses should provide an appealing employment environment. Using the SEM technique, the study analyses data on the intention to apply among 350 Indonesian nearly-graduated college students and implicitly validated the Gen Z work expectation scale empirically.  The findings show that Generation Z's work expectations substantially impact their willingness to apply for jobs. When choosing a career, the top three considerations for respondents are health insurance, a coaching manager, and work security. Messages in job adverts should most likely appear on the company's social media account, emphasizing more psychological aspects that appeal to Generation Z's expectations, notably work benefits. Rather than having a moderating influence, social media direct connection strongly predicts job application intent.
The Effect of Work Environment on Employee Loyalty with Work Stress as an Intervening Variable at Bella Vita Hotel - Kota Kupang
Authors: Zet Ena  , Sjioen Alya Elita , Riwudjami Ayub M.
Published: July 2022

The purpose of this study was to see how the work environment, work stress, and employee loyalty and how the relationship between these three variables at Bella Vita Hotel Kupang, because the researchers found that there was an increase in the level of employee absenteeism when the number of positive confirmed cases of covid-19 in Kupang City more and more. This study uses the Spearman rank correlation test analysis technique. It is known that the work environment has a positive relationship with employee loyalty as indicated by a sig(2-tailed) value of 0.041 and a correlation coefficient of 0.462 which means the better the work environment, the higher the employee loyalty, and on the contrary. Job stress has a negative relationship with employee loyalty as indicated by a sig(2-tailed) value of 0.042 and a correlation coefficient of -0.459 which means the higher the work stress, the lower the employee loyalty, and vice versa. While the work environment has no relationship with work stress, because based on the results of the correlation test, the value of sig(2-tailed) is 0.878 where this value is greater than 0.05.
Implementation of Forward Chaining for Diagnosis of Dengue Hemorrhagic Fever
Authors: Bahroni Isa , Wanti Linda Perdana , Rahadi Nur Wahyu , Hartono Antonius Agung , Purwanto Riyadi
Published: July 2022

Insects in the form of mosquitoes are transmitting vectors of several types of diseases that are quite dangerous and need to be watched out for because they can be deadly, such as dengue fever mosquitoes, malaria, elephantiasis and the like. Patients suffering from mosquito-borne diseases must be treated immediately to find out the type of disease they are suffering from and their treatment solutions. The era of digitalization that is growing rapidly, including in the field of medical science, makes the use of information technology to help improve quality services for the community. The analysis used in this research is using the forward chaining method, as a comparison of the overall process of the problems obtained in the investigation and developed using the waterfall paradigm. Forward chaining is optimized because the disease diagnosis process begins by observing the symptoms experienced by a patient and then continues with a tracing process that results in conclusions about the dengue fever suffered. While the waterfall method is used in the development of this expert system because the method can accommodate all stages of the system starting from the analysis of functional and non-functional system requirements, system design, coding, expert system testing and the last stage is expert system maintenance. The data used in this study used data at the Maos Health Center, Cilacap Regency. Testing is carried out using the black box testing method where the expert system is tested on end-users to determine the level of success and usability of the developed system. The questionnaire was given to 76 respondents with the results of the questionnaire: 91.9% indicating the level of user satisfaction, 89.6% indicating the level of effectiveness and 92.2% indicating the level of efficiency of the expert system. The output of this study is the conclusion of the disease suffered by the patient and the solution for handling it.
State of Health Forecasting of Heterogeneous Lithium-ion Battery Types and Operation Enabled by Transfer Learning
Authors: Von Bülow Friedrich , Meisen Tobias
Published: July 2022

Due to the global transition to electromobility and the associated increased use of high-performance batteries, research is increasingly focused on estimating and forecasting the state of health (SOH) of lithium-ion batteries. Several data-intensive and well-performing methods for SOH forecasting have been introduced. However, these approaches are only reliable for new battery types, e.g., with a new cell chemistry, if a sufficient amount of training data is given, which is rarely the case. A promising approach is to transfer an established model of another battery type to the new battery type, using only a small amount of data of the new battery type. Such methods in machine learning are known as transfer learning. The usefulness and applicability of transfer learning and its underlying methods have been very successfully demonstrated in various fields, such as computer vision and natural language processing. Heterogeneity in battery systems, such as differences in rated capacity, cell cathode materials, as well as applied stress from use, necessitate transfer learning concepts for data-based battery SOH forecasting models. Hereby, the general electrochemical behavior of lithium-ion batteries, as a major common characteristic, supposedly provides an excellent starting point for a transfer learning approach for SOH forecasting models. In this paper, we present a transfer learning approach for SOH forecasting models using a multilayer perceptron (MLP). We apply and evaluate it on the method presented by von Bülow, Mentz, and Meisen (2021) using five battery datasets. In this regard, we investigate the optimal conditions and settings for the development of transfer learning with respect to suitable data from the target domain, as well as hyperparameters such as learning rate and frozen layers. We show that for the transfer of a SOH forecasting model to a new battery type it is more beneficial to have data of few old batteries, compared to data of many new batteries, especially in the case of superlinear degradation with knee points. Contrarily to computer vision freezing no layers is preferable in 95% of the experimental scenarios.
Online Flow Estimation for Condition Monitoring of Pumps in Aircraft Hydraulics
Authors: Bischof Phillip , Thielecke Frank , Metzler Dirk
Published: July 2022

Hydraulic systems in conventional civil aviation are currently monitored in a very rudimentary way. Normally, measured values are compared with a fixed threshold. If these measured values are outside the predefined limits, the entire hydraulic system is usually shut down. To overcome this deficit, a study regarding a novel prognostic health management method for aircraft hydraulic pumps, which allows a statement about the pump condition, is presented in this paper. The method is based on measuring differential pressure and temperature at a suitable resistance. In the first part of the study, the overall concept for monitoring the motor pump unit is analyzed. This is followed by a discussion of possible measurement methods and suitable resistors to determine the condition of the pump. In the second part of the study, the implementation for online monitoring of the pump is discussed. After a suitable approximation is found, the quality of the proposed method is evaluated with real hydraulic power generation and consumers.
iVRIDA: intelligent Vehicle Running Instability Detection Algorithm for High-speed Rail Vehicles using Temporal Convolution Network – A Pilot Study
Authors: Kulkarni Rohan R , Giossi Rocco Libero , Damsongsaeng Prapanpong , Qazizadeh Alireza , Berg Mats
Published: July 2022

Intelligent fault identification of rail vehicles from onboard measurements is of utmost importance to reduce the operating and maintenance cost of high-speed vehicles. Early identification of vehicle faults responsible for an unsafe situation, such as the instable running of highspeed vehicles, is very important to ensure the safety of operating rail vehicles. However, this task is challenging because of the nonlinear dynamics associated with multiple subsystems of the rail vehicle. The task becomes more challenging with only accelerations recorded in the carbody where, nevertheless, sensor maintenance is significantly lower compared to axlebox accelerometers. This paper proposes a Temporal Convolution Network (TCN)-based intelligent fault detection algorithm to detect rail vehicle faults. In this investigation, the classifiers are trained and tested with the results of numerical simulations of a high-speed vehicle (200 km/h). The TCN based fault classification algorithm identifies the rail vehicle faults with 98.7% accuracy. The proposed method contributes towards digitalization of rail vehicle maintenance through condition-based and predictive maintenance.
Autoencoder Based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems
Authors: Holly Stephanie , Heel Robin , Katic Denis , Schoeffl Leopold , Stiftinger Andreas , Holzner Peter , Kaufmann Thomas , Haslhofer Bernhard , Schall Daniel , Heitzinger Clemens , Kemnitz Jana
Published: July 2022

Anomaly detection in large industrial cooling systems is very challenging due to the high data dimensionality, inconsistent sensor recordings, and lack of labels. The state of the art for automated anomaly detection in these systems typically relies on expert knowledge and thresholds. However, data is viewed isolated and complex, multivariate relationships are neglected. In this work, we present an autoencoder based end-to-end workflow for anomaly detection suitable for multivariate time series data in large industrial cooling systems, including explained fault localization and root cause analysis based on expert knowledge. We identify system failures using a threshold on the total reconstruction error (autoencoder reconstruction error including all sensor signals). For fault localization, we compute the individual reconstruction error (autoencoder reconstruction error for each sensor signal) allowing us to identify the signals that contribute most to the total reconstruction error. Expert knowledge is provided via look-up table enabling root-cause analysis and assignment to the affected subsystem. We demonstrated our findings in a cooling system unit including 34 sensors over a 8-months’ time period using 4-fold cross validation approaches and automatically created labels based on thresholds provided by domain experts. Using 4-fold cross validation, we reached a F1-score of 0.56, whereas the autoencoder results showed a higher consistency score (CS of 0.92) compared to the automatically created labels (CS of 0.62) – indicating that theanomaly is recognized in a very stable manner. The automatically created labels, however, detected anomaly earlier. The main anomaly was found by the autoencoder and automatically created labels, and was also recorded in the log files. Further, the explained fault localization highlighted the most affected component for the main anomaly in a very consistent manner.
Optical Cutting Tool Wear Monitoring by 3D Geometry Reconstruction
Authors: Salaets Rob , Sturm Valentin , Ooijevaar Ted , Putz Veronika , Mayer Julia , Bey-Temsamani Abdellatif
Published: July 2022

Cutting tool wear needs to be monitored closely to ensure good quality of machined parts. However, manual inspection is both expensive and time consuming, therefore there is a need for automated monitoring methods. We present a technique that can reconstruct the cutting tool surface in 3D, allowing a spatial estimation of the tool wear with high accuracy. The reconstruction allows an automated direct monitoring method that estimates at any time the cutting tool condition, avoiding conversion work and major quality issues. The optical measurement setup consists of a hardware triggered line scan camera that registers the spinning cutting tool’s shadow inflicted by a collimated backlight. We show how to leverage the 1D line scan signal acquired at varying cutting heights of the tool into a full 3D reconstruction. The progression of tool wear may thus be monitored by comparing the reconstructed shape to previous measurements. To this end we show a methodology for tool wear quantification. Additionally, to assess the measurement technique, an accuracy analysis with ground truth geometry was performed. The technique was applied to multiple degrading drilling tools. By automation of the cutting tool health monitoring, retrofitting this technology on a conventional machining center would transform it into an Industry 4.0 compatible (smart) machining center utilizing off-the-shelf optical equipment with moderate costs.
Unsupervised Prognostics based on Deep Virtual Health Index Prediction
Authors: Hervé de Beaulieu Martin , Shekhar Jha Mayank , Garnier Hugues , Cerbah Farid
Published: July 2022

Prediction of the Remaining Useful Life (RUL) for industrial systems has been facilitated by the acquisition of large amounts of real-time data and the use of deep learning methods. However, the vast majority of these methods rely on the availability of extensive RUL-labeled data, which is not the case for most of real industrial applications. The goal of this paper is to show how unsupervised learning can provide alternative ways to address this issue. The proposed method is essentially made of two steps. First, a Virtual Health Index (VHI) is extracted in an unsupervised manner from the raw sensor data using a Deep Convolutional Neural Network (CNN) autoencoder. Secondly, an Long-Short Term Memory (LSTM) Encoder-Decoder predicts the future values of the VHI, until an End-of-Life (EOL) pattern is recognized (using a sliding window DTW algorithm). The suggested method is tested on the C-MAPSS dataset and offers promising results with a great potential to be applicable on real-life use cases.
Autonomous Bearing Tone Tracking Algorithm
Authors: Sol Alon , Madar Eyal , Bortman Jacob , Klein Renata
Published: July 2022

To date, much of the research done in the field of condition monitoring of rotating machinery is conducted in the frequency domain. The frequency domain analysis specifically for bearings is based on extracting features from the spectrum of the vibration signature. These features are mostly based on the amplitude at the bearing tones along with their sidebands and high order harmonics. Therefore, it is important to determine the location of the mentioned bearing tones in the spectrum accurately and automatically. For the case of ball bearings this process can be problematic due to slippage of the rolling elements and variations in the angle of contact. These may cause the bearing tone to deviate from its nominal value.

To this day, the common practice for bearing diagnostics is based on the vibration level at the analytical bearing tones or involvement of experts to identify the true location of the bearing tone. In this research an autonomous algorithm for bearing tone extraction, based on pattern matching, was developed. The proposed algorithm is based on the common assumption that the spectrum of a faulted bearing contains a certain known pattern of prominent peaks. The algorithm “scans” the entire spectrum and determines the frequency value which has the highest correlation to the mentioned pattern.

The proposed algorithm was validated and its capabilities are illustrated using experimental data. This algorithm is able to assist any diagnostic approach towards automatic and reliable feature extraction process, both for physics based and data driven approaches.
Peran Pembentukan Komite Sosial Kesetaraan Gender Perempuan dalam Isu Stereotip
Authors: Ayu Wardhani Dinda , Maulina Putri
Published: July 2022

The issue of gender inequality in the work environment such as gender stereotypes often occurs, one of which is at PT. Perkebunan Nusantara IV Bah Butong Tea Business Unit, where the workers were completely unaware of this action. This gender inequality arises because companies operating in industries or factories where the dominant workforce is male, thus causing gender inequality to be avoided. Employees must be able to balance position and power like male employees in every part of the job. In this study, the researcher uses a qualitative approach where Sugiyono (2016: 9) argues that qualitative research methods are used to examine proportional objects and the role of researchers as the main instrument in the research conducted. Gender inequality in the world of work does not see the position in the agency. Gender inequality cannot be overcome only by relying on position, work competence, or physical strength. The women's gender equality social committee was formed in order to provide impetus for change and address these issues. The company provides broad opportunities and fairness for women to develop their careers. Through the women's gender equality social committee forum, efforts for gender equality in the work environment continue to maximize and provide full support for the careers of female employees.
ANALISIS PENERAPAN GRI STANDARS 404, BIAYA RATA-RATA PELATIHAN DAN RASIO PENGELUARAN BIAYA KUALITAS PELATIHAN DAN PENDIDIKAN TERHADAP TOTAL BIAYA OPERASIONAL LAINNYA PADA BANK BUMN
Authors: Oktris Lin
Published: July 2022

This study conducted to analize the application of GRI Standards 404 on Government Owned Banks in Indonesia (Bank Mandiri, BRI, BNI and BTN), the avarage training and educational cost for employee, and the ratio of total training and educational cost (as a part of quality cost) to total other operating cost in each Government Owned Banks. The data used are secondary data, obtained from official website of each banks. Sustainability Reporting and Financial Report for the year of 2020 are the basic data used for this study. This study is a case study. This study shows that all of Government Owned Banks are conforms to GRI Standards 404 about employee’s training and education. They are spending a substantial amount of training and education cost on 2020, but the ratio of training and education cost to total other operating cost are unsubtantial.
TRANSFORMATION OF CONSUMER VALUES IN CONDITIONS OF RESTRICTIONS, AND THEIR IMPACT ON THE OPERATIONAL MANAGEMENT OF THE HOSPITALITY INDUSTRY AND TOURISM BUSINESS
Authors:   Rostov State Economic University, Volovik Maria E. , Prokopets Tatiana N. ,   Rostov State Economic University
Published: July 2022

The subject of the research is consumer values relevant to the current state of the hospitality industry and the tourism sector of the Russian Federation. The spheres considered in this study are particularly susceptible to changes in consumer sentiment, which is a direct consequence of changes in the external environment. This trend is increasing from year to year, which forces business to constantly research, analyze consumer behavior and take it into account in the management of enterprises in the hospitality and tourism industries. This article describes the characteristics of the main consumer values that have been transformed as a result of the impact of sanitary-epidemiological and economical-political restrictions on the domestic hospitality and tourism industries. The necessity of applying the identified consumer values in the operational management of enterprises as a marketing management system, as well as their implementation in each subsystem, is substantiated.
THE STATE OF THE RUSSIAN SYSTEM OF MORTGAGE LENDING TO THE POPULATION
Authors:   Bryansk State University named after Academician I. G. Petrovsky, Mishina Marina Yu. , Kuznetsova Olga N. ,   Bryansk State University named after Academician I. G. Petrovsky, Zverev Аleksey V. ,   Bryansk State University named after Academician I. G. Petrovsky, Malashenko Alina A. ,   Bryansk State University named after Academician I. G. Petrovsky
Published: July 2022

In this article, the authors assessed the current state of the mortgage market for the population in Russia, revealed negative and positive trends in its development. The unprecedented measures taken by the state against the background of the military operation and economic sanctions sharply slowed down the process of issuing mortgages for individuals. At the same time, positive prospects have already been outlined, which were expressed in the expansion of a number of benefits under the relevant mortgage programs. The key measure is a pilot project on preferential mortgages (with an interest rate of 9%) for the construction of private houses without involving contractors.
THE ROLE OF CLUSTERS IN CIRCULAR ECONOMY
Authors:   Plekhanov Russian University of Economics, Moscow, Russia, Mamontov G. D. , Sobol E. A. ,   Plekhanov Russian University of Economics, Moscow, Russia
Published: July 2022

The factors that determine the importance of clusters are considered not only as one of the means of achieving a competitive advantage by small and medium-sized enterprises through clustering, but also as a link that allows you to focus on the problems of resource efficiency and the establishment of circular value chains. Attention is focused on the need to solve key tasks to accelerate the transition to climate neutrality.
ПРОТЕСТНОЕ МОЛОДЕЖНОЕ ДВИЖЕНИЕ США В 1960-ее гг.: ИСТОРИОГРАФИЧЕСКИЙ АСПЕКТ
Authors:   Нижневартовский государственный университет, Агеева А.Д. , Гребенюков В.И.
Published: July 2022

В данной статье рассматриваются этапы в изучении темы. Главное внимание уделяется выявлению особенностей отечественного взгляда на проблему протеста в молодежной среде. Авторы анализируют источники, которые использовались исследователями в рамках изучения данной темы. Анализ исследований и популярных художественных произведений позволил выделить ряд общих черт работ советских и современных исследователей данной темы.
О ПОНЯТИИ «УНИВЕРСАЛЬНЫЕ УЧЕБНЫЕ ДЕЙСТВИЯ»
Authors:   Нижневартовский государственный университет, Алексеева Л.В. , Абдуллина Е.Р.
Published: July 2022

В статье рассматривается понятие «универсальные учебные действия». Авторы анализируют содержание понятия по нормативным документам. Главное внимание в статье уделено интерпретации понятия УУД различными учеными и методистами. Авторами представлены различные классификации в подходах к развитию общеучебных и универсальных действий учащихся, а также рассматриваются некоторые программы развития УУД
THE HISTORY COURSE IN THE FRAMEWORK OF CURRICULUM INTERNATIONALIZATION
Authors:   Perm State Humanitarian Pedagogical University, Barantseva O. , Liu Ruixi , Wang Sinuo , Hu Xiaochen
Published: July 2022

The article analyzes the phenomenon of internationalization of higher education which is accompanied by changes in the structure of the curriculum, content of the courses and methods of teaching. The focus of the article is the course of History provided for students from China. The article highlights the main limitations of the course provision and offers the outline of application of Bloom’s taxonomy in the educational process
ИЗУЧЕНИЕ БУДДИЗМА В РОССИИ: ИСТОРИЯ И СОВРЕМЕННОЕ СОСТОЯНИЕ
Authors:   Югорский государственный университет, Верховская С.Б. , Харина Н.С.
Published: July 2022

В статье рассматривается история изучения буддизма в России с XIX века до современности, уделяется внимание выдающимся российским исследователям-буддологам, школам и направлениям российской буддологии. В статье уделяется внимание авторам, внесшим основной вклад в формирование российской буддологической традиции, таким как В.П. Васильев, И.П. Минаев, С.Ф. Ольденбург, О.О. Розенберг, Ф.И. Щербатской, а также рассматривается деятельность ученых, возрождающих буддологическую традицию в России с конца 80-х годов ХХ века
РЕФОРМИРОВАНИЕ ХОЗЯЙСТВЕННОЙ МОДЕЛИ И УПРАВЛЕНИЯ В ЭЛЕКТРИЧЕСКОЙ И ПОЧТОВОЙ СВЯЗИ СССР (1950-е – 1960-е гг.)
Authors:   Национальный исследовательский Томский государственный университет, Миркин В.В.
Published: July 2022

Рассматриваются органы управления и организация хозяйственного механизма в отрасли связи СССР в послевоенный период. В 1955 г. административная система управления связью, сосредоточившая всё управление огромной отраслью в центральном аппарате союзного министерства, была реформирована. Параллельно была проведена реформа хозяйственной отраслевой модели – на смену сметному финансированию пришёл хозяйственный расчёт, подразумевавший бо́льшую административно-финансовую самостоятельность предприятий связи, а также целый ряд инструментов материального стимулирования.
ЛИЧНЫЕ АРХИВНЫЕ МАТЕРИАЛЫ О РАБОТЕ КОЛЛЕКЦИОНЕРОВ ПО ФОРМИРОВАНИЮ ХУДОЖЕСТВЕННОГО ПРОСТРАНСТВА БАЙКАЛЬСКОЙ СИБИРИ ВО ВТОРОЙ ПОЛОВИНЕ XIX – НАЧАЛЕ XX вв.
Authors:   Иркутский государственный университет, Ткачев В.В.
Published: July 2022

В работе анализируются исторические источники, подтверждающие активную работу коллекционеров по формированию художественного пространства Байкальской Сибири во второй половине XIX – начале XX вв. Выявленные документы в сибирских архивах раскрывают историю организации и проведение художественных мероприятий в Иркутской губернии и Забайкальской области. В результате деятельности коллекционеров формировались собрания предметов искусства, открывались учебные заведения, музеи и галереи.
АВТОМАТИЗАЦИЯ РАБОТЫ С ВХОДЯЩЕЙ И ИСХОДЯЩЕЙ ДОКУМЕНТАЦИЕЙ В ПРОЦЕССЕ ВНЕДРЕНИЯ «1С: ДОКУМЕНТООБОРОТ» В БУ «СУРГУТСКИЙ ГОСУДАРСТВЕННЫЙ ПЕДАГОГИЧЕСКИЙ УНИВЕРСИТЕТ»
Authors:   Сургутский государственный педагогический университет, Степаненкова З.В. , Мусенко Д.А.
Published: July 2022

В статье рассматривается опыт БУ «Сургутский государственный педагогический университет» по внедрению СЭД «1С: Документооборот». Отдельное внимание авторы статьи уделяют процессу автоматизации работы с входящей и исходящей документацией.
ЭЛЕКТРОННОЕ ПРАВИТЕЛЬСТВО РОССИИ: ТЕНДЕНЦИИ РАЗВИТИЯ
Authors:   Донской государственный технический университет, Щербаков Б.В. , Чубова Е.П.
Published: July 2022

В статье рассматриваются принципы формирования и функционирования электронного правительства в России и зарубежных странах. Описаны стадии формирования российского электронного правительства, обозначены области и функции электронного правительства. Представлены предложения о дальнейшем развитии электронного правительства.
ОТДЕЛЬНЫЕ АСПЕКТЫ ОБЕСПЕЧЕНИЯ ЗАНЯТОСТИ И ТРУДОУСТРОЙСТВА НАСЕЛЕНИЯ ХАНТЫ-МАНСИЙСКОГО АВТОНОМНОГО ОКРУГА - ЮГРЫ
Authors:   Нижневартовский государственный университет, Данилова С.В. , Ольшевский В.К.
Published: July 2022

Экономика любого государства и региона, входящего в его состав, независимо от уровня собственного развития, существенно переплетена с тенденциями, сложившимися на рынке труда. Достаточная развитость рынка труда, достойное регулирование взаимоотношений между работодателем и работниками через призму трудового права, вовлеченность органов власти в развитие рынка труда, наличие условий для снижения уровня безработицы на территории и обеспечения занятости населения – все эти сложные для решения задачи, в настоящее время, являются актуальными и интересными.
ФИЛОСОФСКО-ГЕРМЕНЕВТИЧЕСКИЙ АНАЛИЗ ТЕКСТА ГАЗЕТНЫХ СТАТЕЙ КАК ОСНОВА РЕКОНСТРУКЦИИ СОЦИАЛЬНОЙ РЕАЛЬНОСТИ
Authors:   Московский государственный технический университет им. Н.Э. Баумана, Борычева А.А.
Published: July 2022

В статье анализируются модели социальной реальности, рассматриваются разные точки зрения на основы реальности. Также рассматривается связь между текстом и социальной реальностью, и как следствие исследуется текстовая реальность. В качестве метода исследования предлагается герменевтический метод, в связи с чем рассматривается роль философской герменевтики в современном обществе. Особое внимание уделяется исследованию газетных текстов в целях реконструкции социальной реальности.
ТРАДИЦИОННОСТЬ И ИННОВАЦИИ В СОЦИОКУЛЬТУРНЫХ ПРОЕКТАХ ПРАЗДНИЧНЫХ ЗРЕЛИЩ (из опыта участия в конкурсе «Россия: этнический комфорт – 2020»)
Authors:   Кубанский государственный университет  физической культуры, спорта и туризма, Плотников А.В.
Published: July 2022

В статье исследуется проблема согласования традиционного и современного в создании праздника как социально-культурного феномена. Социально-культурные проекты массовых зрелищ как эффективный инструмент гражданского воспитания дают возможность не только сформировать традиционные основы построения народных праздников, в условиях, когда «традиционное» определяется не как исчезающий элемент, а как качественно ценностное преимущество замыслов праздничных событий современной России, но и выступают элементами важных гуманитарных сторон общественной жизни россиян. Цель исследования – разработать теоретико-методологические условия для апробации модели проектирования событий в области социально-культурной деятельности по принципу баланса элементов традиционной культуры и современных инноваций в построении замыслов зрелищ. Методы исследования: анализ теоретических источников по событийности традиционных зрелищ; мониторинг социального партнерства во взаимодействии заинтересованных сторон; моделирование сети социокультурных зрелищ с использованием сбалансированных этнокультурных и праздничных традиций; систематизация и обобщение опыта организаторов, режиссеров и педагогов в области культуроведения и социокультурного проектирования страны. Описаны этапы реализации проекта, включающие необходимость повышения квалификации постановщиков праздничных событий, апробацию практических методов программирования, освоение постановочной методики через инструменты проектирования зрелищ на основе использования в идейно-художественной основе замысла постановочных элементов традиционной культуры для последующей их трансляции в праздничные события территорий. А также организационно-управленческую поддержку структурами власти, кураторами общественных формирований, руководителями, педагогами образовательных и социально-культурных организаций, волонтерами, как заинтересованными сторонами социального партнерства в создании образовательной и творческой среды межпоколенческого диалога участников социокультурного проектирования.
НЕОЛОГИЗМЫ В СФЕРЕ ИНТЕРНЕТ-БАНКИНГА (НА МАТЕРИАЛЕ МОБИЛЬНЫХ ПРИЛОЖЕНИЙ)
Authors:   Санкт-Петербургский государственный университет, Колесова К.В. , Рохлина Е.К.
Published: July 2022

В статье рассматриваются неологизмы, появившиеся в связи с развитием интернет услуг банковской сферы: мобильных приложений для частных клиентов и малого бизнеса. Результаты анализа исследованного материала позволяют считать основополагающими факторами возникновения неологизмов в данной сфере инновационные инициативы банка и долю пользователей мобильных приложений среди клиентов, а также международное банковское (финансовое) взаимодействие. Обнаружено, что преобладающим типом в сфере интернет-банкинга являются заимствования и лексические неологизмы.
ЭКОНОМИЧЕСКИЕ МЕТАФОРЫ «ТЕКУЩЕГО МОМЕНТА» (НА МАТЕРИАЛЕ ТЕКСТОВ СМИ)
Authors:   Омский государственный университет им. Ф.М. Достоевского, Матиенко О.П.
Published: July 2022

На материале текстов СМИ выявляются ключевые экономические метафоры, репрезентирующие такие понятия, как экономика, инфляция, кризис, рубль и доллар. Раскрываются функции метафоры в массмедийном дискурсе: ее способность быть средством объективации и оценки реалий сферы экономики, оказывать воздействие на адресата.
ЭМОТИВНЫЙ КОД В РОМАНЕ БРИТАНСКОГО ПИСАТЕЛЯ К. ПРИСТА «ПРЕСТИЖ»
Authors:   Белорусский государственный университет, Уланович О.И. , Тананушко Н.И.
Published: July 2022

Представлены результаты понятийного анализа ключевых категорий эмотиологии в рамках исследования текстовой эмотивности. Выявляется специфика эмотивного кода – комплекса вербальных средств реализации эмотивности в неоготическом романе К. Приста «Престиж». Авторы предлагают классификацию эмотивов, формирующих эмотивный код романа, отмечают номинативно-функциональные особенности эмотивов каждой из классификационных групп.
ОСНОВНЫЕ ПРИНЦИПЫ КЛАССИФИКАЦИИ УПРАЖНЕНИЙ ПО ИНОСТРАННОМУ ЯЗЫКУ ДЛЯ ЯЗЫКОВОГО ВУЗА
Authors:   Национальный исследовательский университет «МЭИ», Акинина М.В.
Published: July 2022

Данная статья имеет целью изложение основных принципов классификации языковых упражнений по иностранным языкам, главным образом, с точки зрения их функциональных особенностей. Рассматривается вопрос отбора и систематизации языкового и речевого материала для разных видов речевого общения. Анализируется проблема усвоения практического материала в системе разнообразных тренировочных упражнений. Уделяется внимание созданию системы речевых упражнений и выбору языковых средств.