bluuebunny/crossref_metadata_2025 huggingface dataset:
The Application of the EDAS Method in the Parametric Selection Scheme for Maintenance Plans in the Nigerian Food Industry
Authors: Chidiebere Maduekwe Victor , Ayoola Oke Sunday
Published: September 2022

Nowadays, maintenance performance in organizations has become compelling due to competitiveness in the global market and the inclusion of more legislation issues (such as safety and health regulations) in assessments. In this article, the purpose is to formulate in maintenance problem for a food processing unit as a multicriteria problem and solve it using the evaluation based on distance from the average solution (EDAS) method. To attain this purpose, the authors defined a set of weighted criteria and a set of alternatives, and the solution is the alternative that scores the best in those criteria. Consequently, analysis was done based on the EDAS method and the calculated results from the literature data. Consequently, the parameters considered include the frequency of failure, MTBF, MTTF and MTTR while availability is the response. The EDAS method was used to select the best alternative (MTTR, 0.8802) and this score of 0.8802 is for an alternative. The chief novelty of this article is the unique introduction of an innovative EDAS method, which requires only two measures of the desirability of alternative (positive and negative distances from the average solution) but excluded the evaluation of the idea and nadir solutions for the key performance indicators of maintenance. Consequently, this study initiates a maintenance plan for the food industry referring to the key performance indicators as a cause for poor availability of equipment in the Nigerian food industry.
Yer Bağlılığı ve Topluluk Katılımının, Yerel Halkın Kültürel Miras Alanlarına Yönelik Algısı ve Turizm Gelişimine Desteği Üzerindeki Etkisi: Göbeklitepe (The Impact of Place Attachment and Community Involvement on Local People s Perception of Cultural Heritage Sites and Support for Tourism Development: The Case of Göbeklitepe)
Authors: Mancı Ali Rıza
Published: September 2022

Yerel halkın turizm gelişimine vereceği destek destinasyonların sürdürülebilir turizm başarısı için gereklidir. Yerel halk belirli faktörlerin etkisi altında turizm gelişimini olumlu ya da olumsuz algılayabilir. Bu etkili faktörlere yer bağlılığı, toplum katılımı, yerlilik, ikamet süresi, çevresel tutum, yaşam tatmini, imaj, demografik özellikler vb. örnek verilebilir. Bu çalışmanın amacı yerel halkın turizm gelişimine verdikleri desteğe ilişkin olumlu ve olumsuz algılarını etkileyen faktörlerin (yer bağlılığı ve toplum katılımı) Dünya Miras Alanı Göbeklitepe örneğinde belirlenmesidir. Bu çerçevede, Şanlıurfa’da ikamet eden yerel halkla yüz yüze ve çevrimiçi 479 adet anket uygulanarak veriler elde edilmiştir. Yapısal eşitlik modeli yöntemiyle değişkenler arası ilişkiler sınanmıştır. Sonuç olarak, yer bağlılığının turizmin algılanan etkilerinin üzerinde olumlu etkisinin olmadığı, buna karşın yerel halkın turizmin olumsuz etkilerini algılamaları üzerinde önemli bir etkiye sahip olduğu bulgularına ulaşılmıştır. Toplumkatılımının turizmin algılanan olumlu etkileri ve turizm gelişimine destek olma üzerinde olumlu, turizmin algılanan olumsuz etkileri üzerinde olumsuz etkisinin olduğu belirlenmiştir. Turizmin olumlu algılanması, turizm gelişimine desteği olumlu yönde etkilerken, olumsuz algı desteği olumsuz yönde etkilemektedir.
BCI-Algebras and Related Logics
Authors: Bunder Martin
Published: September 2022

Kabzinski in [6] first introduced an extension of BCI-logic that is isomorphic to BCI-algebras. Kashima and Komori in [7] gave a Gentzen-style sequent calculus version of this logic as well as another sequent calculus which they proved to be equivalent. They used the second to prove decidability of the word problem for BCI-algebras. The decidability proof relies on cut elimination for the second system, this paper provides a fuller and simpler proof of this. Also supplied is a new decidability proof and proof finding algorithm for their second extension of BCI-logic and so for BCI-algebras.
Mining the Genomes of Lichen Associated Bacteria for Biosynthetic Gene Clusters Encoding New Secondary Metabolites
Authors:   , Hou Peng
Published: September 2022

Microbial secondary metabolites have made a remarkable contribution to the therapeutics on the market today, particularly in the development of new antimicrobials. The majority of currently employed antimicrobial drugs are either directly biosynthesised by microorganisms or based on the structures of microbial metabolites. The discovery of the antibiotic penicillin in 1928 launched the golden age of antimicrobials. Since that time, bioactive natural products have helped us double our lifespans. They have greatly reduced the mortality and morbidity associated with infectious diseases and revolutionised the pharmaceutical industry. Unfortunately, the introduction of novel antimicrobial drugs into clinical practice has almost always led to resistance to those drugs, which dramatically decreases the useful lifespans of the drugs.

To address this challenge, researchers began to explore new sources for natural product screening, from the traditional phenotypic screening of soil samples to other ecological niches. The microbial assemblages in lichens have become increasingly recognised as an underestimated repertoire of bioactive compounds. This study examined the biosynthetic and chemical diversity of actinobacteria isolated from New Zealand lichen samples using ‘dry lab’ and ‘wet lab’ approaches.

More than 500 actinobacteria were isolated during the course of this study, and an in-house high-throughput NGS library preparation platform was developed to sequence these isolates. Multidimensional analyses were then conducted to explore the phylogenetic and functional divergence in our sequencing datasets. Eight biosynthetic pathways mined from our datasets were cloned and/or refactored. These constructs were then transferred to different heterologous expression hosts and screened for the production of new metabolites using a python-assisted GNPS (Global Natural Product Social Molecular Networking) platform that was developed as part of this work. Four heterologous expression systems were identified as good leads and subjected to further study, leading to the identification and characterisation of chemical entities that have not previously been reported. This thesis validated that the New Zealand lichens are a novel genetic and chemical reservoir for natural product biosynthesis study. Analysis of over 300 genomes reconstructed from lichen sourced isolates uncovered the phylogenetic divergence and function novelty, shed light on biosynthetic dark matter, and provided a promising direction for future study.
Effects of the COVID-19 pandemic on healthcare delivery to an immigrant population in the Islamic Republic of Iran
Authors: Golshani Keihan , Akhlaghi Hamed
Published: September 2022

Background: Healthcare inequity has widely affected marginalized and immigrant communities globally during the COVID-19 pandemic. Aims: This study assessed the effect of COVID-19 pandemic on health care delivery to immigrant populations in Isfahan Province, Islamic Republic of Iran. Methods: All 67 hospitals across Isfahan Province were included in this study conducted from 1 March to 31 May 2020. Data on clinical manifestations, comorbidities, patient management, and outcomes of patients during hospital admission were extracted from medical records and analysed using SPSS for chi-square and odds ratio (OR). Results:One hundred and sixty-eight (3.3%) of 5128 PCR-confirmed COVID-19 cases during the study period were immigrants and were included in the study. There were no differences in sex, clinical presentation, comorbidities, and length of hospital stay between the non-immigrant and immigrant groups. Immigrant patients were significantly younger and had poorer outcomes, including tracheal intubation [OR = 1.9, 95% confidence interval (CI): 1.2–3.1); P = 0.009] and in-hospital mortality (OR = 1.6; 95% CI: 1.1–2.4; P = 0.02). Conclusion: Adverse health outcomes among immigrant communities may be an indication of health inequity and should be addressed by the relevant policymakers.
THE COVID-19 PANDEMIC INFLUENCE ON DOCTOR AND PATIENT SOCIAL INTERACTION
Authors: M.V. Eremina , A.D. Donika
Published: September 2022

Abstract. The modern realities of an unprecedented emergency situation caused by the spread of a new coronavirus infection have become a challenge to social institutions and, above all, healthcare, which could not but affect the social interaction of a doctor with patients. Aim is to identify the features of social interaction between a doctor and a patient in a pandemic. A review of fundamental and modern works in the problem field is carried out. The empirical basis of the work was the materials of a sociological survey using Google forms (N=420) and a focus group with doctors from the "red zone" (N=7). According to the data obtained, the majority of the interviewed doctors of the “red zone” consider the paternalistic model of relationship with the patient to be optimal for these conditions: it was noted by 86.7% (p<0.05 with the number of other answers). District therapists rated the paternalistic and partner models approximately equally (56.7% and 38.8%, respectively, p > 0.5). Moreover, the results of the survey made it possible to rank the personal qualities of doctors who, in their opinion, were most in demand to work in a pandemic. Patience (79.8%), "humanity" (78.7%) and conscientiousness (82.4%) ranked first in the number of selected answers; in second place are compassion (56.8%), a sense of duty (66.5%) and responsiveness (53.4%); in third place - responsibility (52.2%), a sense of justice (44.5%), "decency" (41.3%). The COVID-19 pandemic has shown national specific features of adaptation to changing waves of morbidity. In Russia, there has been a change in the attitude of society towards the professional group of doctors, which has led to the return of the paternalistic model. This was also facilitated by the vulnerability of patients in the older age group of the population, for which the expectations of paternalism are more characteristic, including as a manifestation of nostalgia for the image of a Soviet doctor and partly as a result of digital inequality against the backdrop of global digitalization.
PSYCHO-PHYSIOLOGICAL STATE OF LAW ENFORCEMENT OFFICERS DEPENDING ON THE INTENSITY OF FIRE TRAINING
Authors: R.V. Kubasov , E.D. Kubasova , I.A. Krylov , G.V. Korelskaya , E.V. Tichonova
Published: September 2022

Abstract. High-quality fire training of law enforcement officers who perform their duties, often in difficult, extreme conditions, is the main guarantee of their professional success, value and efficiency of service. Excellent results of the work performed, which are related to shooting, and, directly, the training process itself (fire training) depend on many factors. Of particular importance among them, undoubtedly, is the emotional state of the shooter, his psychological mood, as well as the state of health, physical indicators, the degree of endurance. The purpose of the study is to study the psychophysiological characteristics that characterize the readiness and effectiveness of the ability to act in extreme situations, depending on the degree of intensity of combat training (shooting training). Materials and methods: Employees of the special purpose unit of the Ministry of Internal Affairs of the Russian Federation were examined. Depending on the intensity of fire training, 2 groups were identified, among which the study of the directed effects of some exercises on the psychological and psychophysiological properties of the fighter was carried out. The following indices were used for evaluation: functional changes, readiness for emergency action, overall effectiveness, as well as tests "Spatial extrapolation", "Factor personality questionnaire" and "Volitional self-control". The results of the study: psychophysiological indicators characterizing the degree of readiness to respond quickly to changing conditions and, accordingly, the effectiveness of the work of law enforcement officers showed their more "qualitative" condition in the group of shooters leading an intensive training process. At the same time, the excessive development of self-control among these individuals is accompanied by high internal tension and the risk of developing an anxiety syndrome. It is recommended to use these methods to assess the psychophysiological state of law enforcement officers.
MUHAMMED B. MELEK’S LIFE, WORKS AND THE METHOD OF HADITH COMMENTARY IN THE SHERHI MASÂBÎH AL-SUNNAH
Authors: ÇİMEN Abdullah , GÜLTEKİN Hikmet
Published: September 2022

In the period corresponding to the Establishment Period of the Ottoman Empire, Muhammed b. Melek is a scholar about whom there is not much information in the sources. His works are shaped around Arabic language, fiqh, morality and hadith sciences. In the hadith commentary literature, he wrote a commentary on Begavi's Mesâbîhu's-sunna named Şerhu Masâbîh al-Sunnah.

Ibn Melek wrote his work as a result of the desire of some people to write a comprehensive commentary. This commentary has the appearance of a medium volume commentary, and it is a work in which linguistic analyzes and fiqh explanations are predominant. Ibn Melek gave importance to the explanations of the words in the hadiths and to the analysis of the irab, especially he explained the meaning meant in the hadiths in which literary arts such as metaphor and allusion took place. In the explanations of the words in the hadiths, he applied to the opinions of the authors of garîbü'l-hadith and Arab linguists.

Ibn Melek, who generally makes explanations in the Hanafi-Shafii line in fiqh explanations, avoided bigotry as a Hanafi scholar. It is seen that he conveyed the views of the sects in a respectable style in the explanations of the fiqh hadiths. He generally preferred the way of cem and ce'lif in solving the rumors that seem to be in conflict with each other. Ibn Melek, who made mystical interpretations in the explanations of some hadiths, highlighted issues such as tawassul and istimdat. His approach to these issues is parallel to the common understanding of Sufism in Anatolia. This article is about Muhammad b. Melek It aims to introduce Melek's unknown life, works and the hadith commentary book, Sherhi Masâbîh al-Sunnah, with its main lines in terms of commentary method.
Are New Residential Areas Cooler than Older Ones?
Authors: Doi Ryoichi
Published: September 2022

This study was conducted to investigate if passive cooling technologies have been implemented in commercially supplied new residential areas in Bangkok and to observe if there were significant differences in the land surface temperature (LST) compared to old residential areas. Values of LST were compared among 62 residential areas that differed in completion year. The mean LST for the most recent residential areas completed in 2013 or later was significantly less than that for the other older categories, suggesting that passive cooling effects were significantly better functioning in the new residential areas. A roof treatment on old buildings in a public housing project was still quantitatively effective after 8 years. This suggested the possibility of a deteriorated cooling function in the older categories among the residential areas. The possibility of deterioration was quantitatively investigated. The results stressed the importance of the periodic maintenance of passive cooling functions. As an extension of precise basic studies, this is the first study to quantify the passive cooling effects on commercially supplied residential areas. In terms of spatial extent, this residential area–scale study bridges precise analyses of single buildings/materials and regional observations, mainly relying on satellite data. The study results can aid in the mitigation and prevention of the urban heat island phenomenon. Doi: 10.28991/ESJ-2022-06-06-08 Full Text: PDF
Study on Environmental Impact Evaluation of Ecotoxicity
Authors: Hara Yohei , Ono Hiroyuki , Shirai Yutaka
Published: September 2022

An environmental problem is in a serious situation. In order to suppress and advance environmental discharge, the measure which grasps the quantity of the substance of the environmental impact which affects various kinds of environment is advanced. The PRTR system was enacted in order to grasp the quantity of discharge and transfers in industry. The unification evaluation which grasps the environment impact of category, and the technique of evaluating influence using the quantity of discharge of an environmental impact are proposed. Moreover, this study has grasped it as various kinds of transfers and the tendency of the quantity of discharge by PRTR system, and clarified the quantity of discharge using the characterization factor to the carcinogen which is the environmental impact in PRTR.
From Strategy to Skills Development in a Higher Education IT Organisation
Authors: Kahkipuro Pekka
Published: September 2022

People are typically identified as key assets for a successful IT organisation, and this is particularly true for HE institutions where the level of outsourcing is often lower than in other sectors. Therefore, we need a way for ensuring that the IT organisation’s skills and capabilities reflect the institutional strategy and there is a solid process for identifying and addressing possible gaps.

Traditional approaches, such as IT skills frameworks, are well suited for analysing and addressing technical and content-specific skills development, but they do not provide a convenient way of addressing non-technical skills development.

This paper provides an approach for analysing the requirements for non-technical skills and for addressing them with appropriate development activities. The approach is based on identifying key business capabilities of a HE institution and mapping them into a categorisation that provides the required guidance for competency assessment and development. The approach can be combined with traditional approaches for technical skills analysis, hence providing a comprehensive tool for translating strategy into relevant skills and competency development actions.
An AI Virtual Teaching Assistant with Smart Search and Feedback
Authors: Cheung Chi Keung William , Chan Hing Hung Anthony , Tsang Kin Kei , Chan Ho Hin Horence
Published: September 2022

An AI Virtual Teaching Assistant with Smart Search and Feedback has been developed and is being evaluated. It supplements the tuition from the teachers with a Q&A system with higher accuracy of question mapping based on elimination and involvement of stop words in a two-step searching algorithm. An effective and efficient method is applied to estimate the level of students, providing feedback on teaching performance.
A Method for Estimating Emotions Using HRV for Vital Data and Its Application to Self-mental care management system
Authors: Sano Koharu , Ojima Keiko , Nakamura Tagiru , Okada Ryotaro , Nakanishi Takafumi
Published: September 2022

In this paper, we present an emotion estimation method using heart rate variability parameters of vital data. Recently, as sensors have become more precise and smaller, it has been possible to obtain users' vital data in real-time quickly. In our method, ECG (electrocardiogram) data are measured beforehand while listening to a story with voice narration that evokes emotions and based on the trends obtained through the measurement, the emotions that have a high correlation with the newly acquired ECG data are estimated to be the emotions expressed in the ECG data. With the implementation of our method, it is possible to estimate the user's emotions based on ECG data. In this paper, we also represent the application of our method to chat icons that see users' emotions in real-time. By realizing this application, users will see the changes in their emotions and control their mental health.
A Comparative Study on the Japanese-Chinese preferences for Nursing Care ——Utilization of Statistical Data Analysis——
Authors: Zhang Zihan , Kato Chieko , Aoki Koichiro
Published: September 2022

This study aims to clarify the differences in psychological, social, and physical characteristics that influence the preferences for nursing care by Japanese and Chinese people. A questionnaire was conducted with Japanese and Chinese seniors who were living at homes and capable of independent living and self-care. At that time, changes in the mental state before and after the spread of COVID- 19 were also examined. The participants were divided into two groups based on their nursing care preferences, “family care” or “public care” with Fisher’s exact test and ANOVA was being used in the analysis. These results showed only a significant difference between these two groups in the responses regarding exercise habits before COVID-19 for both Japanese and Chinese participants. Doing sports or exercise frequency was higher for those who preferred family care before COVID-19. This suggests that the physical factor of exercise habits influences the choice to care for the elderly at home.
Realization of Discovery for Burst Topic Transition Using the Topic Change Point Detection Method for Time-Series Text Data
Authors: Ishii Yuta , Ikegami Aiha , Nakanishi Takafumi
Published: September 2022

In this paper, we present a realization method of discovery for burst topic transition using the topic change point detection method for time-series text data. In our method, we focus on the topic change point detection method for time-series text data. By similarity measure using the topic change point detection method for time-series text data, we can discover for burst topic transition. In general, when we would like to understand the outline or main points of an event, we often read articles written by people who know information about the event or ask others who are aware of the event to tell us about it. However, the information obtained by these means is hearsay from others and subject to third-party bias, it is difficult to comprehend the events objectively. In our paper, we focus on the topic change and extract the topic change point detection It enables us to discover burst topic transitions. In this paper, we describe an evaluation experiment of a prototype system using our discovery for burst topic transition to verify the effectiveness of our method. We also implement an application by the user interface that provides some crews of a trendy word.
Forced Selective Information Reduction for Interpreting Multi-Layered Neural Networks
Authors: Kamimura Ryotaro , Kitajima Ryozo
Published: September 2022

The present paper aims to reduce unnecessary information obtained through inputs, supposed to be inappropriately encoded, for producing easily interpretable networks with better generalization. The proposed method lies mainly in forced reduction of selective information even at the expense of a larger cost to eliminate unnecessary information coming from the inputs in the initial stage of learning. Then, in the later stage of learning, selective information is increased to produce a small number of really important connection weights for learning. The method was preliminarily applied to two business data sets: the bankruptcy and the mission statement data sets, in which the interpretation is considered as important as generalization performance. The results show that selective information could be decreased, though the cost to realize this reduction became larger. However, the accompa- nying selective information increase could be used to compensate for the expensive cost to produce simpler and interpretable internal representations with better generalization performance.
Hybrid Cloud Scaleout: Orchestrating Workloads with GitLab
Authors: Politze Marius
Published: September 2022

The project The FAIR Data Spaces project aims to create a common cloud-based data space for industry and research by connecting services already created in Gaia-X, IDS, NFDI and EOSC, and demonstrates this in its own demonstrators. The demonstrator FAIR Data Quality Analysis and Workflows is giving researchers a platform to define and run workflows for FAIR data, the demonstrator aims to serve as a showcase for a hybrid cloud scale-out scenario. While running user defined workflows on research data stored in git repositories, the essence of the demonstrator is hiding the technical complexity of the hybrid cloud scale-out that is needed to supply the computational power for running the workflow steps. In order to achieve this the demonstrator uses state-of- the-art cloud technologies combined with the most recent developments from the Gaia- X frameworks.
Case Studies of DRR (Disaster Risk Reduction) Delivery Lessons Using ICT in Elementary School Classroom in Japan – Lessons from COVID-19 to Future Practices
Authors: Yasuda Mari , Saito Ryo , Horita Tatsuya , Muramoto Toshiaki
Published: September 2022

The COVID-19 pandemic made it difficult to conduct the face-to-face contact-based DRR (disaster risk reduction) delivery lesson we had been giving in an elementary school. To overcome this challenge, we developed a video tool and practiced delivery lessons by using ICT in schools. This paper reports on three cases. In study 1, we conducted a delivery lesson by connecting the school broadcasting room to the classroom in a one- way manner. In study 2, we practiced with connecting the laboratory in a university to individual student’s computers. In study 3, we visited the school and carried out the practice in connecting the school computer room with the classroom teacher’s computer in classroom. We summarized the differences among these three practices, as well as their various characteristics, and discussed the future directions of ICT-based DRR delivery lessons. The ICT-based DRR delivery lesson could bring new educational effects that have never been generated by the traditional delivery lessons.
Airborne Navigation By Geomagnetic Field Based on LSTM
Authors: Peng Xin , Wei Yibo , Zou Weibao
Published: September 2022

To solve the problem of low navigation accuracy of traditional geomagnetic matching navigation algorithm, a geomagnetic navigation and positioning algorithm based on long-term and short-term memory neural network (LSTM) is proposed in this paper. In this algorithm, the corresponding geodetic coordinates are derived from geomagnetic measurements based on least-square linear fitting. Therefore, the geomagnetic matching is implemented. Then the position of the aircraft at the next time is predicted by the LSTM algorithm. Furthermore, the corresponding geodetic coordinates derived from the geomagnetic sensor are modified to complete the geomagnetic navigation and positioning. In this paper, the geomagnetic field data of a certain region are obtained by IGRF-13. The multi-time simulated flight trajectory is used for simulation experiments. The results show that the proposed methods are reliable to transform the geomagnetic measurements to geodetic coordinates. Also, the artificial intelligent method is to make up for the measurement error of the geomagnetic sensor and improve the accuracy of the geomagnetic navigation.
COMPARISON BETWEEN NIR AND UVVIS SPECTRA CHEMOMETRICS FOR PREDICTING FCC FEEDSTOCKS PROPERTIES
Authors: Baldrich Carlos A. , Novoa Luz A. , Bueno Alexis
Published: September 2022

In this paper a comparison is made between the performance of models developed by applying chemometric analysis to NIR and UVVIS spectral data obtained from feedsctock samples corresponding to the different Ecopetrol S.A., Barrancabermeja Refinery FCC units for predicting some important physicochemical properties. The results show the utility of both methodologies here evaluated to follow up the quality of these types of refinery streams and present the advantages and disadvantages of each methodology for predicting the feedstock properties here evaluated.
MATERIALES COMPUESTOS REFORZADOS CON CERÁMICOS AMORFOS PARA APLICACIONES A ALTAS TEMPERATURAS
Authors: Latorre Guillermo , Vargas Fabio
Published: September 2022

A new hybrid-composite material type for applications on hot surfaces (up to 250°C) was developed, in order to reduce the loss of energy, protect thermal insulation and improve the mechanical resistance and impermeability of the thermal insulation systems. This material is a hybrid-composite with organic polymer matrix mixed with small particles (smaller than 45 μm), like silica and organic fibers. The material may be applied directly on hot surfaces up to 250°C, but for higher temperatures it must be used on thermal insulates which can have lower thickness below 2 cm, saving material costs.
DEVELOPMENT OF EXPERIMENTAL CORRELATIONS BETWEEN INDENTATION PARAMETERS AND UNCONFINED COMPRESSIVE STRENGTH (UCS) VALUES IN SHALE SAMPLES
Authors: Mateus Darwin , García Ricardo Andrés , Saavedra Néstor Fernando , Carrillo Zuly Calderón
Published: September 2022

Unconfined Compressive Strength (UCS) is one of the rock mechanical properties that is important take into account during drilling operations in order to avoid wellbore instability. During drilling operations, UCS variability influences wellbore stability more than other factors such as azimuth, slope, exposure time, and mud weight (Jaramillo, 2004). In last years, the indentation technique has been demonstrated to be an appropriate method for determining rock strength in real time during oil well drilling. This technique implements correlation that allow UCS evaluation from indentation parameters such as Indentation Module (IM) and Critical Transition Force (CTF), that can be measured on small rock fragments obtained during drilling. Shale formations in well drilling have demonstrated to be a hindrance since they represent the most important problem in reservoir stability (Abass, H., A. et al. 2006). Therefore, the main objective of this article is to find experimental correlations that allow the modeling of rock strength by applying the indentation technique to reservoir plug. The importance of this technique is the possibility to get rock strength properties in real time during drilling operations, although, those reservoir sections which do not have neither direct UCS records nor indirect measurements.  Eight Unconfined Compression Tests (UCS) on rock cylinders (plugs) extracted from the Paja formation upwelling were conducted in order to develop the corresponding experimental correlations. Two hundred indentation tests were also simultaneously conducted on shale fragments extracted from each plug surroundings in order to simulate the cavings obtained from reservoir drilled. Results of both tests were correlated using the Minimum Square technique, seeking the best correlation that shall represent result behavior, thus obtaining two 2nd-degree polynomial correlations. Correlation coefficients of 0,6513 were determined for the (IM) - (UCS) correlation and 0,8111 for the (CTF) - (UCS) correlation. This demonstrates that the highest correlation between indentation parameters and (UCS) is obtained with the Critical Transition Force (CTF).
PREDICTION OF PHYSICOCHEMICAL PROPERTIES OF FCC FEEDSTOCK BY CHEMOMETRIC ANALYSIS OF THEIR ULTRAVIOLET SPECTRUM
Authors: Baldrich Ferrer Carlos A.
Published: September 2022

Chemometric analysis by Partial Least Squares (PLS) has been applied in this work to correlate the ultraviolet spectrum of combined Fluid Catalytic Cracking (FCC) feedstocks with their physicochemical properties. The prediction errors obtained in the validation process using refinery samples demonstrate the accuracy of the predicted properties. This new analytical methodology allows obtaining in one analysis detailed information about the most important physicochemical properties of FCC feedstocks and could be used as a valuable tool for operational analysis.
Frequency of polymorphic loci of GSTM1 and GSTT1 modifier genes in the genotype of children with pyelonephritis and congenital urinary malformations
Authors: Lukyanenko Nataliia , Spaska Anastasiya , Lenha Evelina , Marazha Iryna
Published: September 2022

Introduction

The growing number, prevalence, numerous complications, and deaths in patients with congenital anomalies of the kidney and urinary tract (CAKUT) indicate the high relevance of the declared topic. Currently, clinical medicine is actively engaged in research on the cellular and molecular mechanisms that cause the appearance of these diseases.

Aim

The aim of the work is to study genetic markers of CAKUT and the tendency to a more severe course of pyelonephritis in young children.

Material and methods

Using the multiplex polymerase chain reaction method, 50 children with pyelonephritis were examined for the presence of deletion alleles of the glutathione S-transferase mu 1 (GSTM1) and glutathione S-transferase theta 1 (GSTT1) genes.

Results and discussion

As a result, 35 children were diagnosed with certain CAKUT. A statistically significant associative relationship between the development of pyelonephritis in a child and the presence of a null allele GSTM1 0/0 in its genotype and a high probability of CAKUT with quantitative and positional anomalies and impaired formation and differentiation of renal tissue in carriers of null alleles GSTT1 0/0, GSTM1 0/0 in their combination was revealed.

Conclusions

The fact that different forms of abnormalities are detected in members of the same family suggests that certain genetic mutations can potentially lead to CAKUT syndrome, but the final phenotype of the renal system depends either on the genetic background or on environmental factors.
EVALUATION OF IRREVERSIBILITY ANALYSIS FOR DIFFERENT COAL TYPES OF A THERMAL POWER PLANT
Authors: UZUN Sinem
Published: September 2022

In this study, first law (energy conservation) and second law (exergy) analyzes of thermodynamics were performed for a thermal power plant. It is very important to perform energy and exergy analyzes in industrial plants. These analyzes can provide guidance on improving energy efficiency and recycling waste energy. For these analyses, coals with different contents, available in nine different countries, were considered. According to the analysis, the highest first law efficiency was determined as 53.61% in the second type of coal. The second highest law efficiency was determined as 46.67% in the 6th coal type. Environmental Destruction Index and Sustainability Index values were determined and it was seen that, the highest EDI value was obtained in the 2nd coal type and the highest SI value was obtained in the 6th coal type. According to this study, the efficiency of the 6th coal type, which has the highest second law efficiency, was observed.
The Effect of Some Managerial Motivators on Employee Motivation in Furniture Enterprises
Authors: KAMIŞLI Eray , YILMAZ Kıvanç , ÖZTÜRK Yasemin , BURDURLU Erol
Published: September 2022

The paper aims to determine the effects of some economic, psychological and sociological motivators on motivation levels of employees in furniture industry companies depending on some socio-demographic characteristics. In order to measure their motivation levels, a questionnaire was applied to 100 people working in enterprises that employ 10 or more people, which are thought to apply a motivation system in the Furniture Manufacturers Site in Ankara. The obtained data were processed using package programs for statistical analysis and the data were evaluated. According to the results: The type of production was not effective on employee motivation. While increasing occupational health and safety and giving more responsibility provided more motivation for male employees, the openness of career paths was more effective for female employees. The effect of both factors that "job assurance" and "independent work and performance feedback" effects on employee performance increased as the working time of employees in the current workplace increased.
Rasch analysis of student attributes: development and validation of scale to measure religious moderation
Authors: Zufriani Zufriani , Pitriani Pitriani , Damni Albertos
Published: September 2022

In Indonesia, the narrative of Religious Moderation is being hotly discussed and has even been included in the RPJMN 2020-2024. The target index has been determined, but measurement instruments are still minimal and can be used to measure the level of religious moderation at the university level. This research was conducted in response to these needs. The development of this instrument uses a unidimensional construct using Rasch analysis. The number of samples used was 406 students selected using the multistage random sampling technique. This development goes through three stages, namely item generation,where the objectives and concepts of measuring religious moderation are arranged to produce latent items. The theoretical analysisaims to test the scale's content validity.The last stage is a psychometric analysiswhich seeks to analyze the availability of the sample and construct the validity and reliability of the scale using Rasch analysis. The first stage produced 48 statements; thesecond stage resulted in changes in the religious context and usedmore appropriate words to describe the scale interval. The last stage makes 24 valid argumentsto be sureof religious moderation.
In the Context of Financial and Macroeconomic Stability BRICS Countries and Turkey
Authors: Karataşlı İkbal , Özmerdivanlı Arzu
Published: September 2022

The progress in technology has a great role behind the rapid developments in the financial system in the recent period. As a result of these rapid and important changes, both financial and macroeconomic stability should be ensured
together. Ensuring macroeconomic stability is of great importance in terms of maintaining the welfare level of the society, and ensuring financial stability is of great importance in terms of efficient distribution of resources
in the economy. Taking into account the indicators determined as a result of the literature review, a data set was created that constitutes the period between 2000-2020. BRICS countries, which are accepted as emerging economies,
and Turkey were compared in line with the determined indicators and evaluated in the context of financial and macroeconomic stability.
Analysis of the Studies on the Problems in Education During the Covid 19 Pandemic Process
Authors: Yaşar Yüksel , Narin Hüseyin , Tekdağ Seyfettin , Demir Ömer , Varanlar Murat , Önemli Hamit
Published: September 2022

Yeni korona virüs salgını çok kısa sürede tüm dünyayı etkisi altına almıştır. Alınan tüm önlemlere karşın pandeminin küresel etkilerinin önüne geçilememiştir. Salgınlar tarihi incelendiğinde, salgınların daha çok ekonomik ve sağlık
üzerindeki etkisi önemsenmektedir. Ancak psikolojik ve eğitime etkisine dair araştırmalar daha çok 21. Yüzyılda yapılmış. Bu araştırmaların birçoğu yetişkinlere yöneliktir. Bu kapsamda pandemilerin çocuklar üzerindeki etkilerinin
araştırılması büyük önem taşımaktadır. Bu nedenle Pandemi döneminde yaşanan kısıtlamaların çocuklar üzerindeki etkisini, anlamak ve belirlemek bu çalışmanın amacıdır. Bu çalışmada içerik analizi yöntemiyle çocukların pandemiden
nasıl etkilendiği ortaya çıkarılmaya çalışılmıştır. Bu kapsamda Pandemiler tarihi incelenmiş, alınan önlemlerin eğitim ve eğitim ortamlarına etkileri değerlendirilmiştir.
Geleceğin Muhasebe Profesyonellerinin Sahip Olması Gereken Yetkinlikler: Muhasebe Profesyoneli Olabilmek İçin Mezun Olunması Gereken Yükseköğretim Program Çıktılarının Analizi
Authors: ÖNCE Saime , ÇAVUŞ Gülşen
Published: September 2022

Yeni teknoloji, rekabet gücü, dinamizm ve Endüstri 4.0’la birlikte gelen iş dünyasındaki değişikliklerin tümü yeni yetkinliklere duyulan ihtiyacı ortaya çıkarmıştır. Bu araştırmada; Türkiye’de yükseköğretim kurumlarında muhasebe profesyoneli olmak için mezun olunması gereken yükseköğretim program çıktılarının, geleceğin muhasebe profesyonellerinden beklenen yetkinlikler bağlamında analiz edilmesi amaçlanmaktadır. Muhasebe profesyoneli olmak için mezun olunması gereken lisans program çıktıları NVivo 12 paket programı kullanılarak, içerik analizi tekniği ile analiz edilmiştir. Analiz sonunda program çıktılarında Endüstri 4.0 bağlamında geleceğin muhasebe profesyonellerinin sahip olması gereken yetkinliklerin ne derece yer aldığı tespit edilmiştir. Elde edilen bulgular, yükseköğretim kurumlarının günümüzün rekabetçi dünyasında kişiye özgü yetkinliklerin öneminin farkında olduğunu ve optimal bir yetkinlik dengesine sahip mezunlar yetiştirmenin önemli olduğunu göstermektedir. Araştırmamız, muhasebe eğitimini dünyadaki gelişmelerle uyumlu hale getirmek için bir yol haritası sunmak, öğretme ve öğrenme yaklaşımlarını, Endüstri 4.0 bağlamındaki gereksinimlere göre değiştirmek, güncellemek veya odak noktasını belirlemede yardımcı olacaktır.
Centralized aerobic-anaerobic energy balance compensation theory perspective in biomedicine
Authors: Kirill V Zhukov , Bagrat A Gasparuan , Alexandre A Vetcher , Alexander Y Shishonin
Published: September 2022

Recently announced centralized aerobic-anaerobic energy balance compensation (CAAEBC) theory has already demonstrated achievements in the treatment of arterial hypertension (AHT), diabetes myelitis (DM) and osteochondrosis. Such demonstration lifts the necessity to check the applicability of this theory to other non-communicable diseases (NCDs) and develop the proper way to model the main idea of CAAEBC.
Preliminary Insights on Sustainability Reporting Practice in Cambodia
Authors: Ma’aji Muhammad M. , Anderson Ediri O. , Sviatko Martin , Siang Hi Lee
Published: September 2022

This paper aims to investigate the development and evolution of sustainability reporting practices in Cambodia and to identify current practices and trends in sustainability reporting in Cambodia, as well as perceptions of sustainability reporting. Interviews and surveys were used to determine respondents’ perceptions of issues related to sustainability reporting. The results from this study found that 74 percent of the respondents are aware of sustainability reporting and its perceived strategic importance to businesses but only 29 percent of the respondent’s companies are reporting on environmental and social impacts of their business operations as indicated in the report. The results reveal that non-financial information disclosure and sustainability reporting practices among companies are at the early stage in Cambodia. The study also reveals that the nondisclosure of environmental and social activities could be due to the lack of disclosure requirements on environmental and social impacts of business operations by national law, the lack of incentives for companies to disclose, and the lack of understanding of the strategic importance of such reporting in generating competitive advantage and achieving sustainable business model. Findings in the study revealed several issues that require further analysis to identify significant factors that would influence environmental and social activities disclosure using a sustainability report.
Prediksi Jumlah Gempa Tektonik di Wilayah Jawa Timur dengan Menggunakan Metode ARIMA Box Jenkins dan Kalman Filter
Authors: Aizzah Zufatul , Intan Putroue Keumala , Utami Wika Dianita
Published: September 2022

Indonesia merupakan negara yang tercangkup dalam wilayah cincin api pasifik aktif (Ring of Fire). Dengan demikian, gempa bumi menjadi fenomena alam yang sudah tidak asing lagi terjadi di Indonesia. Gempa dengan kekuatan magnitudo yang cukup besar akan beresiko merusak sumber daya alam, manusia, dan infastruktur bangunan. Dalam hal ini, sangat perlu dilakukan studi penelitian untuk memprediksi gempa bumi sebagai upaya mitigasi bencana. Metode prediksi yang diterapkan pada studi ini adalah metode ARIMA yang akan diperbaharui dengan estimasi Kalman Filter. Pada perhitungan ARIMA didapatkan model terbaik yaitu ARIMA(0,1,1) dengan perolehan MAPE yang cukup besar yakni 50.5788 sedangkan hasil pembaharuan model ARIMA-KF(0,1,1) memperoleh MAPE yang sangat baik yakni 0.0071. Oleh karena itu, etimasi Kalman Filter dapat dikatakan cukup mumpuni dalam pembaharuan model prediksi ARIMA. Prediksi jumlah gempa tektonik di wilayah Provinsi Jawa Timur pada tahun 2018 paling banyak terjadi pada bulan Juli yakni sebanyak 114 kejadian sedangkan paling sedikit pada bulan Januari yakni 13 kejadian.
Accuracy of Oral Liquid Measuring Devices Used Among Caregivers at Hospital Dungun
Authors: Norizan Nuraina Mohd , Laere Erma Atika , Sarmo Nurul Ain
Published: September 2022

Oral liquid medications are common type of dosage form prescribed to children. Caregiver responsible to choose appropriate measuring device to measure intended dose and minimize dosing error. Objectives of this study were 1) To identify types of measuring devices used at home; 2) To determine dose error deviation across all the measuring devices. This cross-sectional study involved caregivers visiting outpatient pharmacy with oral liquid prescription that fulfilled inclusion and exclusion criteria. The caregivers were instructed to measure 4.8ml and 15.0ml liquid by using suitable devices provided, which were 4 types of syringes and 2 types of dosing cups. The measured liquid was read by investigator and any dose error deviation was calculated and reported as percentages. Data was analyzed descriptively using SPSS version 21. Out of 120 caregivers involved, 60% were female (n=72), aged between 31-40 years old (49.1%, n=59), and employed (62.5%, n=75). 82 caregivers (68.3%) received secondary education level. Most caregivers use standardized measuring devices at home, particularly syringes and dosing cups. For smaller dose, less dose error was detected if using syringe (13.3%) as compared to dosing cup (39.3%); while for larger dose, both syringe and dosing cups are acceptable (11.7% and 7.4% respectively). Syringe shows less dose error as compared to dosing cup for smaller dose. Pharmacist should participate in decision making of choosing right measuring device to improve accuracy of medication administration.
Preservation Potential of Galangal Water Extract on Tofu
Authors: Hamad Alwani , Djalil Asmiyenti Djaliasrin , Putri Tina Syah , Hartanti Dwi
Published: September 2022

Galangal (Alpinia galanga (L.) Willd.) has been long used for medicinal purposes. It showed promising effects on the food-spoilage microorganisms and is commonly used as spices in various cuisines. This study aimed to evaluate the microbial growth inhibitory activity and the preservation potential of galangal water extracts on tofu. The water extracts were prepared by infundation method in the concentrations of 5, 10, and 20%w/v. The phytochemical compounds in the extracts were screened as per standard methods. The tofu was preserved by immersion method for eight days under room temperature with an evaluation time point of two days. The microbial growth inhibitory activity was evaluated by indirect optical density (OD)-based enumeration, and the OD reduction by the extracts was calculated accordingly. The preservation potential was calculated from the changes of the physical characters on tofu evaluated by sensorial analysis. Galangal water extracts contained tannins and terpenoids. It concentration- dependently inhibited microbial growth on tofu, and the extract showed the best OD reduction at a concentration of 20%. It changed the color of tofu but maintained its texture. It also masked the odor of fresh tofu with the aromatic galangal scent. All three tested concentrations showed an equal preservation potential of 2 days. Our data suggested galangal water extract in the optimum concentration of 20% inhibited the microbial growth on tofu and potentially preserved it for two days. This moderate preservation effect might be attributable to its tannins and terpenoids content.