bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYSIS OF RELATIONSHIP BETWEEN THE USAGE OF ONLINE LOAN SERVICES AND THE WELL-BEING OF INDONESIAN USING CHI-SQUARE TEST
Authors: Chamidah Nur , Kamiilah Nadhira Safa , Andriani Putu Eka , Siburian Cynthia Anggelyn , Baihaqi Muhammad Rizaldy , S Salma Bethari Andjani
Published: May 2024

Online fintech lending offers convenience by providing flexibility for both lenders and borrowers. It led to a significant increase in users. Despite this encouraging growth, it comes with risks, such as the emergence of illegal loan companies. The controversial positive and negative aspects of online loans have sparked the researchers' interest in understanding how the Indonesian public perceives the existence of online loans and whether there is a relationship between the use of online loans and the well-being of users. The data were collected through the questionnaire using Google Form and then distributed to respondents who meet the specified sample criteria, namely Indonesian, aged 17 years old or above, and still able to think rationally. The total study sample are 191 respondents, with the total male is 90 and the total female is 101. Since the results of the data gathered were in the form of categorical data, so the Chi-square test is utilized in this study. With the calculated chi-square less than the chi-square table, it showed that there is no correlation between the frequency of using online loan services and the well-being of the Indonesian people, whether based on age, level of education, or type of job. Hence, it can be concluded that the usage of online loan services is not influences the well-being of Indonesian. It is also known that public perceptions of online loans vary and cannot be generalized. However, those less prosperous, tend to agree with and appreciate the online loan services’ existence compared to those who are prosperous.
APPLICATION OF ARIMA MODEL FOR FORECASTING NATIONAL ECONOMIC GROWTH: A FOCUS ON GROSS DOMESTIC PRODUCT DATA
Authors: Sinu Elisabeth Brielin , Kleden Maria A , Atti Astri
Published: May 2024

This study aims to apply the Autoregressive Integrated Moving Average (ARIMA) model to predict national economic growth, specifically focusing on Gross Domestic Product (GDP) data. GDP data were collected from 2012 to 2023, categorized into training data for the period 2012-2022 and testing data for the year 2023. Utilizing the training data, the research findings indicate that the ARIMA (0,1,0) (0,0,1) model emerges as the most effective in forecasting Indonesia's GDP on a quarterly basis, considering current prices. Subsequently, the model was tested on the 2023 dataset, and it demonstrated accurate predictions aligned with patterns and trends identified during the training phase. The outcomes of this research contribute significantly to the field of economic forecasting in Indonesia, particularly in understanding and predicting the quarterly developments of GDP. The proposed ARIMA model can serve as an effective tool for decision-makers and economic analysts to strategically plan for future economic dynamics on a quarterly basis.
SPATIAL INSIGHTS INTO EARTHQUAKE STRENGTH: A SULAWESI CASE STUDY USING ORDINARY AND ROBUST KRIGING METHODS
Authors: Humairah Nanda Lailatul , Fauzan Achmad
Published: May 2024

The data from the Meteorology, Climatology and Geophysics Agency (BMKG) in the last 22 years shows that there have been 230 destructive earthquakes in Indonesia with the highest incidence in 2021. One of the islands frequently hit by earthquakes is Sulawesi Island. According to the 2020 Disaster Risk Index Book (IRBI), 63 of the 81 regencies/cities on Sulawesi Island have a high category earthquake risk index. Based on this, information is needed as a first step in disaster mitigation so that the government can take preventive and anticipatory actions to reduce risks associated with earthquakes and ensure the safety of people on the island of Sulawesi, one of which is obtained through spatial interpolation. In this study, the Kriging methods of interpolation, Ordinary Kriging (OK) and Robust Kriging (RK) were used. From the analysis with OK and RK, the best theoretical semivariogram model is the Exponential model with nugget, sill and range values of ​​respectively 0.40, 0.70, and 6.50 for OK and 0.35, 0.90 and 9.50 for RK. Both methods produced the results that most areas of Sulawesi Island have the potential for shallow earthquakes with a magnitude of around 3.2 to 4.0 on the Richter scale. The potential for earthquakes with high strength is more common around the seas to the east and north of Central Sulawesi Province. The highest estimation results are at the coordinates of 120,029° East Longitude, 1.159° North Latitude, namely in the sea north of South Dampal. According to the results of K-Fold Cross Validation and Leave One Out Cross Validation, the more accurate method for estimating earthquake strength on Sulawesi Island is the RK method because the RMSE and MAPE values ​​in the RK method are smaller than the OK method.
TEXT CLASSIFICATION USING ADAPTIVE BOOSTING ALGORITHM WITH OPTIMIZATION OF PARAMETERS TUNING ON CABLE NEWS NETWORK (CNN) ARTICLES
Authors: Saputro Dewi Retno Sari , Sidiq Krisna , Rasyid Harun Al , Sutanto Sutanto
Published: May 2024

The development of the era encourages advances in communication and information technology. This resulted in the exchange of information being faster because it is connected to the internet. One platform that provides online news articles is Cabel News Network (CNN), which has been broadcasting news on its website since 1995. The number of Cabel News Network news articles continues to increase, so news articles are categorized to make it easier for readers to find articles according to the category they want. Classification is a technique for determining the class of an object based on its characteristics, where the class label is known beforehand. One of the algorithms for classification is adaptive boosting (AdaBoost). The AdaBoost algorithm performs classification by building several weighted decision trees (stumps), then the class determination is based on the number of stumps with the highest weight. The AdaBoost algorithm can be combined with parameter tuning to avoid overfitting or underfitting resulting from a weak set of stumps. Therefore, this study implements the AdaBoost algorithm with parameter tuning on CNN news article classification. The data used in this study is CNN news article data from 2011 to 2022 sourced from the Kaggle page. The data is categorized into six classes, namely business, entertainment, health, news, politics, and sports. This study uses two evaluation metrics, namely the accuracy value and the confusion matrix to measure the performance of the AdaBoost algorithm. The accuracy value obtained is 0,78763, the precision value is 0.91, the recall value is 0.85, and the F1 score value is 0.88.
SPATIALLY INFORMED INSIGHTS: MODELING PERCENTAGE POVERTY IN EAST JAVA PROVINCE USING SEM WITH SPATIAL WEIGHT VARIATIONS
Authors: Maulana Ashabul Akbar , Fauzan Achmad
Published: May 2024

The East Java Province stands as one of Indonesia's regions grappling with a notably elevated poverty rate, accounting for 11.32% of the populace. A strategic approach employed to comprehend and redress this issue involves the application of spatial analysis, wherein spatial factors are intricately integrated into the modeling and cartographic representation of poverty data. The primary objective of this research is to discern the principal determinants influencing the incidence of poverty in East Java Province, employing data reflective of the population's poverty percentages within the province for the year 2021. The study incorporates six pivotal variables, namely: the population poverty rate, open unemployment rate, labor force participation rate, average years of schooling, adjusted per capita expenditure, and the gross regional domestic product (GRDP), predicated on adjusted expenditure. Diverse weighting schemes are applied based on both distance (1) and contiguity (2). The optimal predictive model utilized is the Spatial Error Model (SEM) incorporating a Distance Band Weighing (DBW) mechanism with a designated maximum distance ( ) of 75000 meters. Outcomes indicate that the variable wielding the most substantial influence on the poverty percentage in East Java Province is the average years of schooling. Specifically, an increase in the pursuit of formal education manifests as a negative correlate to the poverty percentage, implying an inverse relationship. Moreover, the SEM model adheres to the requisite assumptions, encompassing (1) the normality of residuals, (2) homogeneity of residuals, and (3) non-spatial autocorrelation of residuals. Comparative analyses reveal that the SEM model utilizing DBW yields diminished values for MAE, MSE, RMSE, AIC, and MAPE in comparison to its linear regression counterpart. Furthermore, the pseudo- values obtained from the SEM surpass those derived from the linear regression model. Rigorous likelihood ratio tests underscore substantial disparities between the SEM and linear regression models, with the former proving more efficient and markedly enhancing the model's explanatory prowess concerning variations in the dataset.
MAXIMUM EXPONENTIALLY WEIGHTED MOVING AVERAGE WITH MEASUREMENT ERROR (USING COVARIATE METHOD) USING AUXILIARY INFORMATION FOR CEMENT QUALITY CONTROL
Authors: Sellyra Eirene Christina , Ahsan Muhammad , Wibawati Wibawati
Published: May 2024

The main quality characteristic at XYZ Inc. that should be observed is Compressive Strength. Cement production quality control is carried out on the average and process variability jointly with the Max-EWMA control chart. Measurement error can be found in the Compressive Strength. It can affect the sensitivity of the control chart, so quality control will be carried out by considering the presence of measurement error. Handling measurement errors can be done through three approaches (covariate method, multiple measurements, and linearly increasing variance). This research only focuses on the covariate method. Auxiliary variables also explain variance in the production process, so they are also considered in this research, with Blaine used as an auxiliary variable. Therefore, the control chart that will be formed is the Max-EWMA ME (Covariate) AI. The Max-EWMA and Max-EWMA ME (Covariate) AI control charts show that the XYZ Inc. cement production process based on variability and process averages is simultaneously statistically controlled. The controlled Max-EWMA control chart has an upper control limit of UCL=1.503018, and parameters  dan . Max-EWMA ME (Covariate) AI has in-control parameters . The Max-EWMA ME (Covariate) AI control chart is more sensitive than the Max-EWMA control chart. Cement production capabilities based on Compressive Strength have a Cpl and Cpk capability index of 1.54, which means that the cement production process is capable, consistent, and has high accuracy so that the quality has reached the target.
PROVING THE CORRECTNESS OF THE EXTENDED SERIAL GRAPH-VALIDATION QUEUE SCHEME IN THE CLIENT-SERVER SYSTEM
Authors: Salsabila Fitra Nuvus , Bukhari Fahren , Nurdiati Sri
Published: May 2024

Numerous studies have been conducted to develop concurrency control schemes that can be applied to client-server systems, such as the Extended Serial Graph-Validation Queue (SG-VQ) scheme. Extended SG-VQ is a control concurrency scheme in client-server system which implements object caching on the client side and locking strategy on the server side. This scheme employs validation algorithms based on queues on the client side and graphs on the server side. This research focuses on the mathematical analysis of the correctness of the Extended SG-VQ scheme using serializability as the criterion that needs to be achieved. Implementing a cycle-free transaction graph is a necessary and sufficient condition to achieve serializability. In this research, the serializability of the Extended SG-VQ scheme has been proven through the exposition of ten definitions, two propositions, three lemmas, and one theorem.
DEVELOPMENT OF GEOMETRY MOBILE LEARNING TO ENHANCE STUDENTS' MATHEMATICS LEARNING INTEREST
Authors: Muliyana Ana , Panjaitan Adi Wibowo , Simatupang Frengki
Published: May 2024

The development research aims to produce a mobile learning application for geometry to enhance students' interest in learning mathematics. The product encompasses solid geometry materials for 7th-grade junior high school students. The development process follows the ADDIE model: Analyze, Design, Development, Implementation, and Evaluation. The product underwent testing with 7th-grade students at a junior high school in Yogyakarta. Data collection instruments included a questionnaire on students' interest in learning mathematics, a product validation sheet, teacher and student assessment sheets, and an observation sheet on the feasibility of the learning process. These instruments were utilized to measure the validity, effectiveness, and practicality of the developed product. The research findings indicate that: (1) The developed mobile learning application for geometry is presented using Creative Problem Solving syntax, complemented with features such as liveworksheets, Geogebra, instructional videos, Quizizz, and Google Forms, facilitating the enhancement of mathematical creativity. (2) The developed product is declared valid based on the validation results obtained from two media experts and two content experts, with an average Aiken index reaching 0.94 out of the maximum score of 1, categorizing it as "High." The product is assessed as practical based on teacher assessment at 96.55%, student assessment at 71.28%, and an average learning process implementation percentage of 85.83%. The product is also deemed effective due to a significant increase in the variable of students' interest in learning mathematics. Thus, the developed geometry mobile learning application meets the criteria of validity, practicality, and effectiveness.
Determining The Knowledge of Nurses Working in The Turkish Republic of Northern Cyprus on Perioperative Period Enhanced Recovery After Surgery (ERAS) Protocols: A Quantitative Descriptive Study
Authors: Yıldız Kerem , Kaya Ufuk , Aydın Nida , Güzel Aynur , Yıldız Melahat , Akçalı Kamil , Taşargöl Ömer
Published: May 2024

Background and Purpose: The aim of this study is to determine the knowledge level of nurses working in surgical clinics about perioperative period (ERAS) protocols.
Methods: This descriptive research design completed between March and June 2021. The population of the study consisted of 126 nurses working in the surgical clinics of a State hospital in Northern Cyprus. The data were evaluated by accepting the significance level of p
Barriers and the potential for changes and benefits from the implementation of Industry 4.0 solutions in enterprises
Authors: Ślusarczyk Beata , Wiśniewska Joanna
Published: May 2024

The implementation of Industry 4.0 solutions in Polish enterprises entails both certain barriers and significant potential for changes and numerous benefits. These barriers may result from the costs of implementation of new technologies, the need to adapt employees to new skills and concerns about data security. However, by overcoming these difficulties, companies can benefit from the enormous potential for changes such as increasing production efficiency, optimizing logistics processes or improving product quality. Moreover, the use of Industry 4.0 technologies can contribute to increased innovation, increased competitiveness on the global market and the creation of new jobs. As a result, the benefits of implementing these solutions support Polish enterprises to actively engage in digital transformation, despite the barriers they encounter. The objective of this article is to confront the benefits and potential for changes resulting from the implementation of modern technologies with the barriers that limit this process. The statistical assessment of the differences between the barrier assessment values and the assessment of benefits from the use of technology, as well as between the barrier assessment values and the assessment of the potential for changes, was based on the non-parametric Mann-Whitney U test. The study covered representatives of 236 enterprises who mainly held managerial positions at various levels of management staff or persons designated by them who were responsible for research and development activities in the surveyed entities. As a result, it was indicated that the level of involvement in technological transformation among Polish enterprises is moderate. Almost 67% of all the surveyed entrepreneurs can characterize specific Industry 4.0 solutions. Among them, only approximately 6% can be defined as highly digital companies that already have partially digitized operational processes. Moreover, enterprises see more potential benefits and potential changes from the introduction of Industry 4.0 solutions than barriers to their implementation. This study is dedicated to both authors dealing with Industry 4.0 issues and entrepreneurs implementing modern technologies in their companies.
Analysis of selected quality parameters of dried herbs available on the European market
Authors: Polańczyk Ewa , Matuszek Dominika Barbara , Hys Katarzyna , Pasek Małgorzata , Spalik Mariola , Rotkegel Adam
Published: May 2024

International trade in herbs and spices is showing steady growth. This may contribute to the deterioration of their quality (complex supply chains) and the search for alternative, cheaper sources (adulteration). This paper presents the results of quality control of culinary herbs available on the European markets. Eight spices were evaluated: savory, lovage, basil, thyme, marjoram, oregano, fennel, mustard. The tests were performed (from January 2022 till January 2023) for three production batches from five different suppliers, and analyzed such parameters as aroma, overall appearance, impurity content, net weight, moisture content, ash content and essential oils. The analyzed parameters are the basic quality characteristics controlled by institutions overseeing the quality of foodstuffs. The determinations were made on the basis of European standards. The results show deviations from the standards especially in the content of essential oils. Slight exceedances of the standards were also recorded for water and total ash content. On the other hand, for such parameters as net weight, impurity content, general appearance or odor, no overstepping of acceptable standards was recorded.
Going all in or spreading your bet: a configurational perspective on open innovation interaction channels in production sectors
Authors: McPhillips Marita , Tegtmeier Silke , Nikitina Tatjana
Published: May 2024

Using different interaction channels within open innovation partnerships holds the potential to enhance the chance of success in production sectors. However, our comprehension of how open innovation partnerships are affected by varying combinations of interaction channels, and how this corelates with their level of open innovation output, remains limited. There are discrepancies in the current literature regarding the individual and combined effects of open innovation interaction channels. Our study aims to resolve these inconsistencies by using a configurational perspective, which allows for the identification of multiple successful pathways. Employing fuzzy-set Qualitative Comparative Analysis (fsQCA) to a dataset of European open innovation partnerships in production sectors, we uncover specific combinations of interaction channels that explain high levels of innovation outcomes. Subsequently, we distinguish between two successful pathways. Notably, we observe that the relationship between interaction channels is causally complex, high engagement in open innovation may not guarantee favorable innovation outcomes. This finding highlights the intricate causal dynamics at play. Thus, our study is a significant step toward reconciling the disparate perspectives in the literature concerning the impact of interaction channels on open innovation output.
Is digital development a factor of university-industry R&D collaboration and vice versa?
Authors: Kuzior Aleksandra , Samoilikova Anastasiia , Kossek Wojciech , Krišková Petra , Vasylieva Tetiana
Published: May 2024

The purpose of the article is to determine and characterize relationships and their causality between indicators of digitalization of social relations and level of university-industry R&D collaboration. To conduct the research, a sample was formed for 20 countries of the world leaders in University-Industry R&D Collaboration indicator (as a part of Global Innovation Index) in 2022, which covers the following indices for period from 2011 to 2020: indicators of university-industry R&D collaboration, access to ICT, government online services, online creativity (as assessed by WIPO Global Innovation Index), and export of ICT goods (according to the World Bank). The methodological basis of the study was methods of correlation analysis (Pearson or Spearman, depending on data distribution, for which Shapiro-Wilk test for normal data distribution was previously applied) taking into account possible lags in time, VAR modelling, Granger test, and corresponding toolkit of STATA 18 software. As a result of the research, it was confirmed that the level of university-industry R&D collaboration is affected by such indicators of digitalization of social relations as online creativity (in 16 from 20 sample countries), access to ICT (in 12 countries) and the share of ICT goods exports in total exports (in 11 countries). At the same time, university-industry R&D collaboration is a cause of changes in the level of online creativity (in 15 from 20 sample countries), access to ICT (in 11 countries), public online services (in 10 from 19 sample countries) and the share of ICT goods exports (in 10 from 20 sample countries). The obtained results can be useful for stakeholders in R&D, innovative activities, development of state policy in the innovation and information sphere for making the most effective decisions in the context of stimulating the role of cooperation.
Sustainable transportation perspective: how our preferences for zero-emission vehicles change through time?
Authors: Obrecht Matevž , Yangınlar Gözde , Tatar Dorota Klimecka , Knez Matjaz
Published: May 2024

The Slovenian automobile market has gained great momentum in the past decade. However, the demand contractions in the supply chain created a huge crisis in the automobile industry in Slovenia. The automotive industry's new competitive dynamics focus on green logistics, sustainability, and purchase decisions. The study aims to comparatively analyze the factors affecting consumers' automobile purchasing decisions from a sustainable transportation perspective. In the survey, we included 1502 participants to identify the most important parameters of consumer behaviour related to purchasing alternative fuel vehicles. In the regression analysis results in the first analysis, non-financial factors sub-dimensions such as the body shape and fuel type, vehicle size, and style/appearance/colour had a positive effect on purchasing decisions of zero-emission cars. The second analysis was performed 5 years after the first analysis. Moreover, the findings provide insights that non-financial factors sub-dimensions such as entertainment system, vehicle size, and vehicle capacity and financial factors sub-dimensions between the insurance group for the vehicle, finance deals, value for money, annual road tax had a positive effect on purchasing decisions of zero-emission vehicles in the second analysis. Results show that the most relevant factor for purchasing zero-emission vehicles is total vehicle price and that the segment of potential alternative fuel vehicle consumers is much higher than it has been anticipated. This study provides an overview of the current understanding of individuals' vehicle purchasing decisions.
Predicting the mechanical properties of stainless steels using Artificial Neural Networks
Authors: Ivković Djordje , Arsić Dušan , Adamović Dragan , Nikolić Ružica , Mitrović Andjela , Bokuvka Otakar
Published: May 2024

Knowing the material properties is of a crucial importance when planning to manufacture some structure. That is true for the steel structures, as well. Thus, for the proper planning of a certain steel part or a structure production, one must be aware of the properties of the material, to be able to make a qualified decision, which material should be used. Considering that the manufacturing of steel products is constantly growing in various branches of industry and engineering, the problem of predicting the material properties, needed to satisfy the requirements for the certain part efficient and reliable functioning, becomes an imperative in the design process. A method of predicting four material properties of the two stainless steels, by use of the artificial neural network (ANN) is presented in this article. Those properties were predicted based on the particular steels’ known chemical compositions and the corresponding material properties available in the Cambridge Educational System EDU PACK 2010 software, using neural network module of MathWorks Matlab. The method was verified by comparing the values of the material properties predicted by this method to known values of properties for the two stainless steels, X5CrNi18-10 (AISI 304), X5CrNiMo17-12-2 (AISI 316). The difference between the two sets of values was below 5% and, in some cases, even negligible.
Workplace hazards and safety practices in the small-scale industries
Authors: ElSharkawy Mahmoud Fathy
Published: May 2024

The small-scale industries are considered a major sector of economic investment in the world. Small-scale industries typically suffer from problems such as poor management systems, poor safety training, difficulties in complying with legislation, and absence of safety performance. This study aimed to measure the levels of heat stress and noise and assess the safety performance in small-scale industries. Twenty industrial workshops were selected representing four different types of small-scale industries (foundries, automotive repair, metal processing, and aluminium processing) in Alexandria, Egypt. Inside each selected workshop, both levels of heat stress and noise were measured by calibrated instruments. A pre-designed checklist evaluated the adequacy of the safety performance. Noise levels ranged between 86.4 ± 2.0 and 89.7 ± 2.7 dB exceeding the recommended value (85 dB). In the most studied workshops, the levels of heat stress were relatively high, especially in the foundries. Besides, the safety practices at all these workshops were poor or very poor. The most obvious safety problems included poor housekeeping, lack of PPEs, inadequate illumination, absence of emergency exits, and insufficient fire extinguishers. The results emphasize the responsibility of the local authorities to give more attention and interest to this type of industry.
Investigation of the effects of machining parameters on cutting conditions during orthogonal turning of austenite stainless steel
Authors: Kónya Gábor , Takács János , Miskolczi István , Kovács Zsolt F.
Published: May 2024

The 1.4306 austenite stainless steel has been prominently utilized as a material in the automotive and aerospace industry. Considerable interest has been garnered in the machinability of stainless steel owing to its high strength and poor thermal conductivity. The aim of this study is to ascertain the influential cutting parameters, specifically the cutting speed and feed rate, on cut-ting forces, cutting temperature, and chip evaluation. Thus, austenite stainless steel was subjected to free-cutting using a carbide recessing tool under dry conditions. The principle of measuring cutting temperature, a complex procedure due to varying thermal homogeneity, was elucidated. For the turning experiments in question, the standard Taguchi orthogonal array L9 (32), featuring two factors and three levels, was employed. The experimental results were analyzed using MiniTab 17 software. The findings reveal a substantial effect of feed rate on cutting force, cutting temperature, and chip evaluation. The highest cutting force and cutting temperature were observed at a feed rate of 0.15 mm/rev. Conversely, the cutting force was minimized at a cutting speed of 100 m/min, indicating potential for increasing the cutting speed. The augmentation of feed rate led to chip compression and discoloration, attributed to elevated cutting force and a larger chip cross-section that efficiently dissipates heat from the cutting zone.
Application of laser treatment technology for boiling heat transfer augmentation
Authors: Orman Łukasz J. , Radek Norbert , Honus Stanislav , Pietraszek Jacek
Published: May 2024

Boiling heat transfer can be enhanced when the heater’s surface morphology is altered. The paper discusses the use of the laser beam to produce efficient heat exchangers. Two types of samples were investigated with distilled water and ethyl alcohol as boiling agents. The specimens differed with the height of the microfins: 0.19 mm and 0.89 mm. It was observed that both of them enhanced boiling heat transfer in comparison to the smooth reference surface. However, the sample with higher microfins performed better, especially in the region of low temperature differences, where the heat flux was about three times higher than in the case of the smaller microfins. The comparison of the experimental data with selected models of boiling heat transfer revealed significant differences with regard to the heat flux. The laser-made samples dissipated larger heat fluxes than it could be anticipated according to the models. It might be linked with high surface roughness of the area between the microfins, generated as a result of the laser beam interaction with the surface.
Assessment of the technical state of mining machinery and devices with the use of diagnostic methods
Authors: Biały Witold
Published: May 2024

In this article, one of the possible, effective methods of assessing the technical state of mining machinery and devices has been presented. The article's main goal is to show the possible methods and ways of measuring temperature, oscillations, and vibrations generated during the operation of mining equipment and machines’ gears, which are possible in underground conditions. Devices measuring temperatures without coming into contact with the given object are built based on different types of infrared radiation detectors or matrixes of such detectors. Thermal imaging devices picture the temperature distribution on the entire surface instead of pyrometers, which measure temperatures at a given point. However, vibrations and oscillations generated by the work of gears of devices and machinery have been made using a vibrometer pen and a machine condition tester, after which the obtained measurements were used to diagnose the degradation of individual elements of those machines. Such an assessment of the degradation of individual elements of machines in production conditions has been applied with positive results in one of the mines of the Polish Mining Group (Polska Grupa Górnicza – PGG).
Establishing a Mouse Genotyping Core Facility Based on Automation, High-resolution Melting Analysis, and Purpose-developed MATLAB Applications for Sample Tracking, Data Analysis, and Report Generation
Authors: Dafni Hagit , Levi Kohava , Eldad Miriam Chen , Shaul May , Oren Roni , Alyagor Liat , Stettner Noa , Harmelin Alon , Haffner-Krausz Rebecca
Published: May 2024

An in-house genotyping facility should aim to be more cost-effective than outsourced service and more reliable than genotyping performed by short-term employees or students of individual research groups. Reliable genotyping allows efficient and economical management of mice colonies and promotes accurate and reproducible research results. Here we provide a detailed description of our approach to establishing a genotyping core facility, relying on automated PCR assembly and high-resolution melting (HRM) analysis (first derivative). The workflow we devised was tightly managed by purpose-designed applications developed using MATLAB App Designer that allowed straightforward work planning, ensured sample tracking throughout the process, and provided a platform for reliable data analysis and generation of genotyping reports. We successfully transitioned PCR product analysis of more than 250 different target genes from standard gel electrophoresis to the more advanced HRM analysis. About 23% of the target genes required a redesign of primers to adapt to our protocol. The process was highly universal, and only 2% of the target genes required deviation from the standard PCR method to a more restricted protocol that reduces the amplification of nonspecific products. We currently run more than 1,000 PCR reactions weekly, of samples taken at weaning or experimental endpoint, and assemble a large variety of target genes in every PCR plate. We also showed that genotyping of blastocytes instead of embryos can serve as quality control of cryopreservation. Thus, our genotyping protocol promotes the 3Rs (Replacement, Reduction, and Refinement) principles. Our refined genotyping process facilitates cost-effective colony management, replaces tissue types as well as traditional methods with advanced ones, and provides reliable results in a timely manner. MATLAB codes and related data are available in supplementary materials and online.
Establishing a Mouse Genotyping Core Facility Based on Automation, High-resolution Melting Analysis, and Purpose-developed MATLAB Applications for Sample Tracking, Data Analysis, and Report Generation
Authors: Dafni, PhD Hagit , Levi, BSc Kohava , Eldad, MSc Miriam Chen , Shaul, MSc May , Oren, PhD Roni , Alyagor, PhD Liat , Stettner, DVM, PhD Noa , Harmelin, BVSc, MRCVS, Diplomate ECLAM Alon , Haffner-Krausz, PhD Rebecca
Published: May 2024

An in-house genotyping facility should aim to be more cost-effective than outsourced service and more reliable than genotyping performed by short-term employees or students of individual research groups. Reliable genotyping allows efficient and economical management of mice colonies and promotes accurate and reproducible research results. Here we provide a detailed description of our approach to establishing a genotyping core facility, relying on automated PCR assembly and high-resolution melting (HRM) analysis (first derivative). The workflow we devised was tightly managed by purpose-designed applications developed using MATLAB App Designer that allowed straightforward work planning, ensured sample tracking throughout the process, and provided a platform for reliable data analysis and generation of genotyping reports. We successfully transitioned PCR product analysis of more than 250 different target genes from standard gel electrophoresis to the more advanced HRM analysis. About 23% of the target genes required a redesign of primers to adapt to our protocol. The process was highly universal, and only 2% of the target genes required deviation from the standard PCR method to a more restricted protocol that reduces the amplification of nonspecific products. We currently run more than 1,000 PCR reactions weekly, of samples taken at weaning or experimental endpoint, and assemble a large variety of target genes in every PCR plate. We also showed that genotyping of blastocytes instead of embryos can serve as quality control of cryopreservation. Thus, our genotyping protocol promotes the 3Rs (Replacement, Reduction, and Refinement) principles. Our refined genotyping process facilitates cost-effective colony management, replaces tissue types as well as traditional methods with advanced ones, and provides reliable results in a timely manner. MATLAB codes and related data are available in supplementary materials and online.
IDENTIFIKASI SENYAWA ANTIOKSIDAN DALAM FRAKSI METANOL DAUN BIDARA (Ziziphus mauritiana)
Authors: Sriwijayanti Sriwijayanti , Nasiro Siti , Humesi Lusi , Situmeang Boima , Puspitasari Puspitasari
Published: May 2024

Tumbuhan Bidara (Ziziphus mauritiana) merupakan salah satu tumbuhan yang dimanfaatkan oleh masyarakat untuk mengobati berbagai penyakit. Bidara  tumbuh didaerah yang kering dengan curah hujan yang sangat rendah. Di Indonesia, tumbuhan bidara banyak ditemukan didaerah Banten, Jawa, Madura, Bali, Sawu, Rote, Timur leste, Alor, Makasar, Bima, dan Sumba. Pada penelitian sebelumnya, ekstrak daun bidara diketahui memiliki aktivitas sebagai antioksidan. Penelitian ini bertujuan untuk mengisolasi senyawa bioaktif dan menguji aktivitas antioksidan pada fraksi metanol daun bidara. Ekstraksi dilakukan menggunakan metode maserasi dengan pelarut metanol. Pemisahan dan pemurnian senyawa menggunakan metode kromatografi. Uji aktivitas antioksidan menggunakan metode DPPH (1,1-difenil-2-pikrihidrazin). Karakterisasi dan elusidasi struktur isolat yang mempunyai nilai % inhibisi tinggi dilakukan dengan menggunakan spektroskopi UV dan FTIR. Berdasarkan hasil uji aktivitas antioksidan fraksi 10 menghasilkan nilai % inhibisi yang tinggi yang dapat meredam radikal bebas. Hasil elusidasi struktur, senyawa yang diperoleh merupakan senyawa flavonoid.
ANALISIS FAKTOR-FAKTOR KESULITAN BELAJAR KIMIA PADA MATERI STOIKIOMETRI KELAS X DI SMA NEGERI 1 MANOKWARI
Authors: Allo Angelina Bubun , Azrun Muhammad
Published: May 2024

This research was conducted to explain the factors and factors of chemistry learning difficulties experienced by students in stoichiometry material. This type of qualitative phenomenological research was used in this research. The subjects of this research were 58 class X students of SMA Negeri I Manokwari. The strategy for collecting information in research is carried out using perceptions, meetings, surveys, and report studies. The examination of information from perceptions is completed illustratively, and the investigation of information from meetings and opinion polls is completed clearly and interpretively. The research results show that the causes of students' learning difficulties are caused by internal factors, including students' low numerical capacity, students' low understanding of interpreting material, students' low learning inspiration, and students' low insight. External factors include less conducive study time and less optimal use of the facilities provided by parents.
Exploring positive impact of social media on employee mental health: A Delphi method
Authors: Tan Jaik Mey , Wider Walton , Rasli Amran , Jiang Leilei , Tanucan Jem Cloyd M. , Udang Lester Naces
Published: May 2024

This study investigates the positive effect of social media on employee mental health, a critical factor affecting both individual well-being and organizational performance. Addressing a gap in empirical research, particularly in Malaysian context, this study utilizes a two-round Delphi method to gather expert opinions from diverse fields, sectors, industries, and generations. The research identified 41 themes, subsequently categorized into five key dimensions. The study found that interpersonal connection was the most important dimension, followed by psychological well-being, performance and satisfaction, growth and development, and working culture. This research elucidates the multifaceted benefits of social media in enhancing employee mental health and offers comprehensive insights into its constructive role in the workplace. Contributing to the literature, it provides practical implications and strategic recommendations for organizations to leverage social media effectively to bolster employee mental health.
The Infrastructure of Traumatic Memory: Kazakhstan after Soviet Modernization Projects
Authors: Sandybayeva Ulbolsyn , Medeuov Zhomart , Medeuova Kulshat
Published: May 2024

The article discusses the features of the interaction of local, national, and global memory of the traumatic past and the current commemorative practices of Kazakhstan. The authors used the concept of transnational, multidirectional, and agonistic memory to make an extended interpretation of Kazakhstan’s postcolonial/post-Soviet situation as avoiding conflict. Traditionally, the traumatic discourse of memory in Kazakhstan is described in the context of post-Gulag analytics. On the other hand, some places as the Baikonur cosmodrome produce technogenic traumas. The fundamental concept of the article is a traumatic memory infrastructure which allows, first, to link the diversity of places of memory with the implementation of technological megaprojects in Kazakhstan; second, to identify their correlation with transnational memory practices; and finally, to show the Kazakhstani outline of trauma, which is still insufficiently represented in academic literature. The article uses empirical materials collected by the authors during field research in Kazakhstan.
PROPOSTA DE MUDANÇA DO CUIDADO DE ENFERMAGEM ESPECIALIZADO: REVISÃO INTEGRATIVA
Authors: De Lourenco Charlene , De Miranda Ramos da Silva Soraya , Barbosa dos Santos Thais , De Medeiros Escobar Lana , De Sousa Pappalardo Bruno , Siqueira Martins Sarah , Soares de Barros de Araujo Agatha , Fernandes Firmino Elisangela Cristiane
Published: May 2024

RESUMO
Objetivo: Caracterizar, por meio da literatura, como a teoria de Hildegar E. Peplau pode ser aplicada na prática da estomaterapia para melhorar a qualidade do cuidado oferecido aos pacientes hospitalizados. Método: Constitui-se de Revisão Integrativa, tendo como questão de pesquisa: o que há publicado na literatura sobre como a teoria de Hildegar E. Peplau pode ser aplicada na prática da estomaterapia para melhorar a qualidade do cuidado oferecido aos pacientes hospitalizados? Selecionaram-se os critérios de inclusão: artigos originais, de revisões de literatura e de relatos de experiência de 2013-2023, disponíveis online na íntegra, em português, inglês e espanhol e que respondessem à questão de pesquisa. Os critérios de exclusão foram: artigos duplicados, cartas ao editor, dissertações, teses e monografias. As buscas ocorreram na Biblioteca Virtual em Saúde e na Biblioteca Nacional de Medicina dos Estados Unidos e PubMed em julho e setembro de 2023. Resultados: Os 7 artigos selecionados foram examinados detalhadamente, e os principais achados relacionados à aplicação da Teoria de Peplau na estomaterapia foram sintetizados de forma descritiva. Esses achados ajudarão a compreender como essa teoria pode ser eficaz na melhoria da qualidade do cuidado prestado aos pacientes com estomias e outras condições estomaterapêuticas. Conclusão: A atuação do enfermeiro é pautado na busca por um cuidado especializado, fornecendo suporte clínico, assistencial, emocional e psicossocial. A identificação das necessidades dos pacientes é essencial para aprimorar a assistência e promover melhores resultados para os indivíduos atendidos.
EFETIVIDADE DOS CUIDADOS DE ENFERMAGEM EM PACIENTES INTERNADOS POR COVID-19: PROTOCOLO DE REVISÃO SISTEMÁTICA
Authors: Portella da Fonseca Graziele Gorete , Engel Franciely Daiana , Bertolossi Marta Cristiano , Mombaque dos Santos Wendel , Schaefer Ferreira de Mello Ana Lúcia
Published: May 2024

Objetivo: Avaliar a efetividade da utilização dos cuidados de enfermagem na segurança de pacientes internados por COVID-19 em hospitais considerando a redução do tempo de internação e morbimortalidade. Método: Protocolo de revisão sistemática conforme a metodologia do Joanna Briggs Institute e o Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols. Serão incluídos estudos primários, preferencialmente ensaios clínicos randomizados, e outros como ensaios clínicos aleatórios e quase experimentais, estudos observacionais tipo coorte prospectiva e retrospectiva, transversais e caso controle, publicados de 2019 até o momento da busca, em português, inglês ou espanhol. Será realizada busca nas bases de dados Cumulative Index of Nursing and Allied Health Literature (CINAHL-EBSCO), Publicly Medline (PubMed-Medline), Scopus-Elsevier, Excerpta Medica DataBase (EMBASE-Elsevier), Web of Science (Clarivate Analytic), Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS-BDENF), Scientific Eletronic Library Online (SciELO), Google Acadêmico, Biblioteca Digital Brasileira de Teses e Dissertações e no Catálogo de Teses e Dissertações da CAPES. Os estudos identificados terão as duplicatas excluídas no EndNote e o restante do processo de seleção dos estudos será realizado por dois revisores de maneira independente, no aplicativo Rayyan e um terceiro revisor será acionado caso haja divergências. O protocolo foi registrado na plataforma PROSPERO, sob número CRD42023444167.
Estimasi Pemberian Pinjaman Kredit Usaha Rakyat (KUR) di Bank BRI Unit Tangkerang Pekanbaru menggunakan Regresi Logistik
Authors: Safitri Elfira , Hazirah Azra , Rahmadeni Rahmadeni
Published: May 2024

People’s Business Credit (KUR) is vulnerable to unwanted risks such as bad credit. The reduce bad credit, banks need to analyze whether customer debtors meet the requirements for credit. The aim of this research is to determine the logistic regression analysis model and determine the factors that influence the provision of People's Business Credit (KUR) at Bank BRI Unit Tangkerang Pekanbaru. The method used is the Logistic Regression method. Based on the research results, it was found that the factors that influence the provision of People's Business Credit (KUR) at Bank BRI Unit Tangkerang Pekanbaru are business turnover and business profit. So the logistic equation is obtained with the resulting logit function being g(x) = -11.587+0.501x_1+2.549x_2. The calcification value for granting People's Business Credit (KUR) using logistic regression is 93.84%.
«Magyarization had almost no success among Romanians». (The Romanian national movement of Transylvania during the era of Austro-Hungarian dualism in relations with official Budapest. 1867–1914)
Authors:   Institute of Slavic Studies, Russian Academy of Sciences, Stykalin Alexander
Published: May 2024

The agreement between the Habsburgs and the Hungarian national movement, as a result of which the Austrian Empire was transformed into the dualist Austro-Hungarian Monarchy in 1867, led to the complete liquidation of the autonomy of Transylvania and dealt a severe blow to the Romanian national movement of this region, which was experiencing an upsurge during the 1860s. For several decades, the tactics of boycotting Hungarian political life prevailed in this movement, which sharply limited the possibilities of opposing the growing policy of Magyarization. Th e transition to more active tactics occurred only at the beginning of the 20th century, in the context of the deepening crisis of the dualist system. On the eve of World War I, a competition for influence on the Romanian national movement of Transylvania was unfolding between the two political “heavyweights” of the Danube monarchy: Crown Prince Franz Ferdinand, who sought to reform the monarchy by weakening Hungary’s position, and the Hungarian Prime Minister Count István Tisza, the most consistent defender of the dualist system in the Empire. In the pre-war atmosphere, when it became increasingly difficult to predict the possibilities of further reorganizing the monarchy, the heir to the imperial throne was more successful, but his death from a bullet dashed all hopes of reforming the Empire while taking into account the interests of its Romanian national minority. As the outbreak of World War II diminished the prospects of preserving the dualist monarchy, Romanian politicians in Transylvania turned their attention only to Bucharest, while the idea of the future integration of Transylvania into the Romanian Kingdom clearly prevailed in their minds.