bluuebunny/crossref_metadata_2025 huggingface dataset:
TECHNOPARKS AND INDUSTRIAL INNOVATION CENTERS OF THE CARPATHIAN REGION AS NEW SPATIAL INDUSTRIAL LOCATIONS
Authors:   Mukachevo State University, Mukachevo, Ukraine, Smochko Nataliia , Syrovets Sergii ,   Taras Shevchenko National University of Kyiv, Luzhanska Tetyana ,   Mukachevo State University, Mukachevo, Ukraine
Published: October 2022

The purpose of this research work is to study technoparks and industrial innovation centers of the Carpathian region as the latest spatial industrial localities. Method. The researcher has used both general scientific methods, in particular analysis, scientific synthesis, analytical method, methods of comparison and generalization, as well as special ones: cartographic, modeling and forecasting the development of monosystems. Scientific novelty. The article has analyzed scientific approaches to understanding the essence of the concept of «industrial territorial system», reveals the specifics of the functioning of technopark structures in EU countries, has characterized the activities of technoparks in the Carpathian region. It had been determined that the industrial territorial system of the Carpathian region, which is a set of traditional links (clusters of industrial enterprises of old and modern type) and innovative links (technology parks, industrial parks, science parks, industrial technology transfer centers, innovative industrial business incubators, etc.) has deformed territorial structure. All links are unevenly located on the territory, very often they are far from the concentration of labor force necessary for their full functioning. The connections between individual links of the industrial monosystem are poorly developed, and the management of both the industrial system in general and individual links is difficult due to the imperfection of the existing legislation. Improvement of the situation is possible under the condition of development and implementation of a comprehensive state program for the development of the industrial territorial system of the Carpathian region in general and its regions. Practical meaning. The results of this study contribute to a deeper socio-geographical understanding of the processes of monodevelopment of socio-geographical systems, their genesis, the peculiarities of their flow and provide an opportunity to model their prospective development, to achieve the expected results because of long-term transformation. They can be used for further research of monosystems of different hierarchical levels, as well as for the development of practical recommendations and programs for the development of territorial industrial monosystems.
ASSESSMENT OF CHANGES IN METEOROLOGICAL PARAMETERS AT THE RIVNE WEATHER STATION
Authors:   National University of Water Management and Nature Resources use, Rivne, Ukraine, Kholodenko Victoriia , Kholodenko Andrii ,   Rivne Institute of Kyiv University of Law, Rivne, Ukraine
Published: October 2022

The goal is to characterize the meteorological parameters at the Rivne weather station and evaluate their changes for the period from 2005 to 2020. The research methodology is built in the following directions: regression of observation data on time; the presence of connections between adjacent members of the series; construction of integral cumulative curves of meteorological parameters; graphs of surfaces are constructed, which make it possible to visually assess their forecast in the future; the homogeneity of the series of observations according to statistical parametric and non-parametric criteria is determined; calculation of the precipitation unevenness coefficient. The results of the comparison of integral curves show that long-term fluctuations of annual meteorological parameters are in phase, that is, for different meteorological parameters, the same phases can be observed at the weather station at the same time, but the ratio of average values for these phases changes. The sequence of phases of decrease and increase of certain meteorological parameters allows to distinguish cycles of their changes. The assessment of homogeneity according to parametric and non-parametric statistical criteria showed that there are changes in meteorological parameters: air humidity, wind speed, minimum air temperature, precipitation, which is statistically proven. The coefficient of uneven precipitation varies widely. The scientific novelty consists in the assessment of meteorological parameters at the Rivne weather station, which is proven statistically and its results can be used for other scientific assessments and research. The practical significance of the research results, namely the fact of changes in meteorological parameters, can be used in hydrological and geomorphological studies of the territory of the Volyn Polissia and the Volyn Highlands
Industrialization and Forest Protection: Three faces of German Forests at the Turn of the 20th century
Authors:   The Korean Society For German History, Ko Youkyung
Published: October 2022

The purpose of this article is to examine the collective identity reflected in German perceptions of forests around 1900, and to emphasize that interest in forests made them pioneers of the German environmental movement. Industrialization caused the destruction of German forests and consequently made Germans interested in forest protection. However, the motives were different for each class. If forests were important to landowners because of their economic value of increasing timber productivity, educated citizens' forests were a common asset with national identity. On the other hand, for the working class, forests played the role of teachers who consoled the reality of hard work and raised class consciousness. However, the efforts of Germans at the turn of the 20th century to protect forests, combined with such diverse motives, made them the first generation of the German environmental movement.
Vision-related quality-of-life in Jamaican glaucoma patients at Kingston Public Hospital
Authors:   Kingston Public Hospital, North St, Kingston, Jamaica, Jordan Valence A
Published: October 2022

AIM: To determine the vision-related quality-of-life of glaucoma patients and the association between clinical and socioeconomic factors, and vision-related quality-of-life.
METHODS: This was a cross-sectional study. Consecutive patients with glaucoma were interviewed using a modified 25-item National Eye Institute Visual Function Questionnaire (VFQ-25) by a single interviewer. Statistical analysis was done to find associations between patient variables and vision-related quality-of-life scores. Confidentiality and anonymity were maintained.
RESULTS: Ninety-six participants were recruited in the study. There were 44 males and the mean age for males and females was 65.7 and 69.5y, respectively. The mean composite score was 71.2 (with a maximum possible score of 100), with the highest mean score in the colour vision subscale (89.8) and the lowest mean score in the driving subscale (34.0). Worse visual acuity (P<0.001), longer duration of glaucoma (P<0.001) and higher number of glaucoma medications (P<0.001) were associated with a worse composite score. Female participants and those who lived in urban areas had significantly better scores than male participants (P=0.002) and those who lived in rural areas (P=0.017), respectively.
CONCLUSION: The vision-related quality-of-life in Jamaican glaucoma patients is comparable to that of glaucoma patients in the Barbados Eye Study and other international studies using the VFQ-25 questionnaire. Worse quality-of-life scores are associated with poorer visual acuity, longer duration of glaucoma, more glaucoma medications, and sociodemographic factors such as male gender and rural residence.
Changes on optical coherence tomography angiography and fluorescein angiography in eyes with neovascular age-related macular degeneration
Authors:   Department of Ophthalmology, Korea University College of Medicine, Seoul 02841, Republic of Korea, Ahn So Min , Yun Cheolmin ,   Department of Ophthalmology, Korea University College of Medicine, Seoul 02841, Republic of Korea, Kim Seong-Woo ,   Department of Ophthalmology, Korea University College of Medicine, Seoul 02841, Republic of Korea, Oh Jaeryung ,   Department of Ophthalmology, Korea University College of Medicine, Seoul 02841, Republic of Korea
Published: October 2022

AIM: To evaluate the changes on optical coherence tomography angiography (OCTA) and fluorescein angiography (FA) and their correlation in neovascular age-related macular degeneration (nAMD) before and after intravitreal aflibercept injections (IAIs).
METHODS: In 43 treatment-naïve patients with nAMD, choroidal neovascularization (CNV) in OCTA were morphologically and quantitatively analyzed before and after IAIs to determine whether they are correlated with leakage on FA or not. By combining CNV in OCTA and leakage in FA, lesions were characterized as three types: L+C+ (with both CNV and leakage), L-C+ (with CNV but without leakage), or L+C- lesion (with leakage outside CNV).
RESULTS: Before IAI, while 27 eyes had L+C+ lesion only, 16 eyes had both L+C+ and L-C+ lesions simultaneously. Tiny capillaries and anastomosis in CNV were more developed in L+C+ lesion, at 86.0% and 58.1%, respectively, relative to 9.3% and 9.3% in L-C+ lesions (P<0.001). After IAIs in 33 eyes, tiny capillaries and anastomosis were decreased in the lesions with cessation of leakage on FA (P<0.001 and P=0.001, respectively). In quantitative analysis, neovascularization length and numbers of junctions and endpoints were also significantly decreased.
CONCLUSION: Leakage on FA is associated with CNV morphology in OCTA and remained so after IAIs. Therefore, by carefully assessing the morphological and quantitative changes of CNV in OCTA before and after treatment, activity of nAMD is expected even though CNV on OCTA is not completely matched with fluorescein leakage.
Oculoplastic publication trends in general ophthalmology journals
Authors:   Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, Créteil 94000, France, Dray Jean-Paul , Souied Eric ,   Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, Créteil 94000, France, Saeed Peerooz ,   Orbital Center, Department of Ophthalmology, Amsterdam University Medical Centers, Amsterdam 1105, the Netherlands, Simon Guy Ben ,   Goldschleger Eye Institute, Sheba Medical Center, Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel, Gildener-Leapman Juliana ,   Meir Medical Center, Kfar Saba 4428164, Israel, Zloto Ofira ,   Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, Créteil 94000, France; Goldschleger Eye Institute, Sheba Medical Center, Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
Published: October 2022

AIM: To examine the publication trend of oculoplastic articles throughout the last decade in general ophthalmology journals.
METHODS: A review of all abstracts published between January 2010 to December 2019 in general, clinical ophthalmic journals was conducted. Articles that were categorized as original articles in general and clinical journals were included in the study.
RESULTS: Totally 10 281 abstracts were included. Of them 465 (4.5%) were oculoplastic publications. The mean number of annual-publications was 46.5 and the mean annual-rate of oculoplastic publications was 4.51%. A significant decreasing trend in the number of oculoplastic publication in the last decade was found (P<0.01, R2=0.770). However, there was no significant change in the annual-rate of oculoplastic publications during the last decade (P=0.191, R2=0.203). From the 465 oculoplastic articles: 179 (38.5%) were articles about eyelid diseases, 160 (34.40%) were about orbit diseases, 92 (19.80%) were about lacrimal diseases and 34 (7.30%) were about thyroid eye disease (TED). A significant decreasing trends in the number of orbital and eyelids publications were found (P<0.01, P<0.01). However, there were no significant changes in the annual-rate of orbital, eyelids, TED and lacrimal-diseases publications throughout the last decade.
CONCLUSION: Oculoplastic subspecialty deals with a wide range of pathologies in different ages. However, less than 5% of the articles in general, clinical, high impact factor ophthalmology journals are about oculoplastic diseases. One of the best way for ophthalmologists from different subspecilties, nowadays, to be updated, is to read high-impact-factor, general ophthalmology journals. Therefore, it is important that those journals will include articles about breakthroughs in oculoplastic.
Gastrointestinal microbiome and primary Sjögren’s syndrome: a review of the literature and conclusions
Authors:   Department of Ophthalmology, Shenzhen Second People’s Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China; Shantou University Medical College, Shantou 515031, Guangdong Province, China, Yao Yu-Feng , Dou Xiao-Yan ,   Department of Ophthalmology, Shenzhen Second People’s Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China
Published: October 2022

The recognition of the profound impact of the human gastrointestinal microbiome (GM) on human autoimmune diseases has gradually increased thanks to deeper research efforts. As a systemic autoimmune disease, primary Sjögren’s syndrome (pSS) cannot be completely cured. Human studies have revealed that GM species and diversity are altered in patients with pSS compared with healthy individuals. Animal studies have provided possible mechanisms for the association between pSS and GM. The potential role of GM in pSS is exerted through several mechanisms. GM dysbiosis leads to increased intestinal permeability, which increases the risk of GM antigen exposure and activates specific autoreactive T lymphocytes via “molecular mimicry”. In addition, GM antigen exposure and intestinal immune tolerance loss caused by GM dysbiosis together induce chronic local gut mucosal inflammation, which deteriorates to systemic chronic non-specific inflammation with the circulation of pro-inflammatory lymphocytes and cytokines. These factors eventually activate autoreactive B lymphocytes and lead to pSS. If GM plays a key role in the pathogenesis of pSS, clarifying the underlying mechanisms will be helpful for the development of new therapies targeting GM for dry eye associated with pSS. This review summarizes the latest knowledge about the relationship between GM and pSS, with the aim of contributing to future research and to the development of new clinical applications.
Satirical Comedy Does COVID‐19: John Oliver as Science Journalist
Authors: Galliah Shelly
Published: October 2022

This article analyzes selected segments of John Oliver's Last Week Tonight, which were dedicated to conveying accurate COVID‐19 information, debunking coronavirus falsehoods, addressing pandemic‐related sociocultural issues, and exposing conspiracy theories. In these videos, John Oliver corrects the commercial press while adopting several science journalist roles: that of explainer, investigative, and civic educator journalists. Oliver's videos, whose reach extends far beyond his original audience, are valuable resources for conveying accurate information and teaching critical thinking.
Literature Review Recommendation System Using Hybrid Method (Collaborative Filtering & Content-Based Filtering) by Utilizing Social Media as Marketing
Authors: Praditya Ni Wayan Priscila Yuni
Published: October 2022

The recommendation system is an application model based on observations of the circumstances and customer desires. In the recommendation system, several methods are used to support how the system works in producing information. One method of recommendation system that is quite popular is the method Hybrid. Several researchers have successfully applied this method in developing a tourism recommendation system, therefore to achieve the goal of implementing a tourism recommendation, it is better to take advantage of a marketing technique such as promotion in order to increase sales and attract more comprehensive customers. Therefore, a literature review on the method hybrid (Collaborative Filtering & Content-Based Filtering) of this travel recommendation system is carried out to collaborate between methods, algorithms, and a tool or media marketing applied in a recommendation system.
Aorta Detection with Fetal Echocardiography Images Using Faster Regional Convolutional Neural Network (R-CNNs)
Authors: Sapitri Ade Iriani , Darmawahyuni Annisa
Published: October 2022

The fetal heart structure has an important role in analyzing the location of abnormalities in the heart. The aorta is one of the fetal heart structures, which has an essential part in exploring how the fetal heart is structured. To see the fetal heart structure can be seen with the help of an echocardiography tool in the form of ultrasound to see ultrasound images of the fetal heart. In ultrasound image data, detection is challenging because of its low image features, shadows, and contrast levels. So that is the first to do it yourself in one of the points of the culture in the culture in the aorta. The approach in this study uses deep learning in cases using Faster Regional Convolutional Neural Network (R-CNNs) with the R-CNNs mask method. The proposed approach has been applied to 151 ultrasound images of the fetal heart for the aortic region. The evaluation results were tested by evaluating metrics on the detection object with an mAP value of 83.71%.
Intelligent Miniature Circuit Breaker
Authors: Kommey Benjamin , Kotey Seth Djanie , Tchao Eric Tutu , Bamfi Gideon Adom
Published: October 2022

The traditional electrical distribution panel (or breaker panel) is a system that divides the main electrical power feed and distributes them to subsidiary circuits whiles providing a protective mechanism via the use of miniature circuit breakers, residual current devices, etc. The conventional panel distributes electrical power alright but the system does not make provision for any form of real time monitoring and feedback of power consumption levels in the home. This paper presents a design of a miniature circuit breaker distribution panel integrated with other electronic devices which helps achieve real time monitoring of power consumption and also automatically trips the circuit if there is a fault and reconnects the circuit if the fault is cleared to ensure little to no interruption in electricity to appliances.
Multiclass Segmentation of Pulmonary Diseases using Convolutional Neural Network
Authors: Arnaldo Muhammad , Nurmaini Siti , Satria Hadipurnawan , Rachmatullah Muhammad Naufal
Published: October 2022

Pulmonary disease has affected tens of millions of people in the world. This disease has also become the cause of death of millions of its sufferers every year. In addition, lung disease has also become the cause of other respiratory complications, which also causes the death of the sufferer. The diagnosis of pulmonary diseases through medical imaging is a significant challenge in computer vision and medical image processing. The difficulty is due to the wide variety in infected areas' shape, dimension, and location. Another challenge is to differentiate one lung disease from the other. Discriminating pulmonary diseases is a notable concern in the diagnosis of pulmonary disease. We have adopted the deep learning convolutional neural network in this study to address these challenges. Seven models were constructed using the Mask Region-based Convolutional Neural Network (Mask-RCNN) architecture to detect and segment infected areas within the lung region from CT scan imagery. The evaluation results show that the best model obtained scores of 91.98%, 85.25%, and 93.75% for DSC, MIoU, and mAP, respectively. The segmentation results are then visualized.
Identification of Indonesian Authors Using Deep Neural Networks
Authors: Firdaus Firdaus , Fahreza Irvan , Nurmaini Siti , Darmawahyuni Annisa , Sapitri Ade Iriani , Rachmatullah Muhammad Naufal , Lestari Suci Dwi , Fachrurrozi Muhammad , Afrina Mira , Putra Bayu Wijaya
Published: October 2022

Author Name Disambiguation (AND) is a problem that occurs when a set of publications contains ambiguous names of authors, i.e. the same author may appear with different names (synonyms) in other published papers, or author (authors) who may be different who may have the same name (homonym). In this final project, we will design a model with a Deep Neural Network (DNN) classifier. The dataset used in this final project uses primary data sourced from the Scopus website. This research focuses on integrating data from Indonesian authors. Parameters accuracy, sensitivity and precision are standard benchmarks to determine the performance of the method used to solve AND problems. The best DNN classification model achieves 99.9936% Accuracy, 93.1433% Sensitivity, 94.3733% Precision. Then for the highest performance measurement, the case of Non Synonym-Homonym (SH) has 99.9967% Accuracy, 96.7388% Sensitivity, and 97.5102% Precision.
Performance Evaluation on Applied Low-Cost Multi-Sensor Technology in Air Pollution Monitoring
Authors: Handayani Ade Silvia , Husni Nyayu Latifah
Published: October 2022

This research aims to discuss the application of multi-sensor network technology for the monitoring of indoor air pollution. Indoor air pollution has become a severe problem that affects public health, especially indoor parking. The indoor air pollution monitoring system will provide information about vehicle exhaust emission levels. We have improved the system to identify six parameters of the vehicles' gas emissions within a different location at once. This research aimed to measure the parameter of Carbon Monoxide (CO), Carbon Dioxide (CO2), Hydro Carbon (HC), temperature and humidity, and levels of particulates in the air (PM10). The performance of this system shows good ability to compare the results of measurements of air quality measuring professionals.  In this study, we investigated the performance of a custom-built prototype developed under the android-based application to detect air pollution levels in the parking area. Our objective was to evaluate the suitability of a low-cost multi-sensor network for monitoring air pollution in parking and the other area.  The benefit of our approach is that its time and space complexity make it valuable and efficient for real-time monitoring of air pollution.
The Implementation of Deep Neural Networks Algorithm for Malware Classification
Authors: Afifah Nurul , Stiawan Deris
Published: October 2022

Malware is very dangerous while attacked a device system. The device that can be attacked by malware is a Mobile Phone such an Android. Antivirus in the Android device is able to detect malware that has existed but antivirus has not been able to detect new malware that attacks an Android device. In this issue, malware detection techniques are needed that can grouping the files between malware or non-malware (benign) to improve the security system of Android devices. Deep Learning is the proposed method for solving problems in malware detection techniques. Deep Learning algorithm such as Deep Neural Network has succeeded in resolving the malware problem by producing an accuracy rate of 99.42%, precision level 99% and recall 99.4%.
Accuracy Improvement of Incidence Level Detection Based on Electroencephalogram Using Fuzzy C-Means and Support Vector Machine
Authors: Ramdhany Edy Marwan , Wahjuni S. , Neyman S. N.
Published: October 2022

Some jobs require that the concentration level be maintained for a long time during work time. Lack of sleep will in disruption of someone concentration level. To find out a human concentration level can be done by recording his/her brain waves. This research uses Electroencephalography (EEG) technology which functions to capture human brain waves. The focus of this study is to build a model of the detection system of a human concentration level. The research datasets are data from brain wave recording using Neurosky Mindwave Mobile which has extracted in 19 features. Data will then be labeled using cluster techniques namely Fuzzy C-Means to become data to be input into the classification process using Support Vector Machine (SVM). The classification results show an accuracy of 98.34%. That results show FCM can be used to automatically label EEG data properly.
Predicting the Occurrence and Causes of Employee Turnover with Machine Learning
Authors: Ma Xiaojun , Zhai Shengjun , Fu Yingxian , Lee Leonard Yoonjae , Shen Jingxuan
Published: October 2022

This paper looks at the problem of employee turnover, which has considerable influence on organizational productivity and healthy working environments. Using a publicly available dataset, key factors capable of predicting employee churn are identified. Six machine learning algorithms including decision trees, random forests, naïve Bayes and multi-layer perceptron are used to predict employees who are prone to churn. A good level of predictive accuracy is observed, and a comparison is made with previous findings. It is found that while the simplest correlation and regression tree (CART) algorithm gives the best accuracy or F1-score, the alternating decision tree (ADT) gives the best area under the ROC curve. Rules extracted in the if-then form enable successful identification of the probable causes of churning.
A Deep Learning Approach to Integrate Medical Big Data for Improving Health Services in Indonesia
Authors: Tutuko Bambang , Nurmaini Siti , Rachmatullah Muhammad Naufal , Darmawahyuni Annisa , Firdaus Firdaus
Published: October 2022

Medical Informatics to support health services in Indonesia is proposed in this paper. The focuses of paper to the analysis of Big Data for health care purposes with the aim of improving and developing clinical decision support systems (CDSS) or assessing medical data both for quality assurance and accessibility of health services. Electronic health records (EHR) are very rich in medical data sourced from patient. All the data can be aggregated to produce information, which includes medical history details such as, diagnostic tests, medicines and treatment plans, immunization records, allergies, radiological images, multivariate sensors device, laboratories, and test results. All the information will provide a valuable understanding of disease management system. In Indonesia country, with many rural areas with limited doctor it is an important case to investigate. Data mining about large-scale individuals and populations through EHRs can be combined with mobile networks and social media to inform about health and public policy. To support this research, many researchers have been applied the Deep Learning (DL) approach in data-mining problems related to health informatics. However, in practice, the use of DL is still questionable due to achieve optimal performance, relatively large data and resources are needed, given there are other learning algorithms that are relatively fast but produce close performance with fewer resources and parameterization, and have a better interpretability. In this paper, the advantage of Deep Learning to design medical informatics is described, due to such an approach is needed to make a good CDSS of health services.
LWT-CLAHE Based Color Image Enhancement Technique: An Improved Design
Authors: Momoh Muyideen Omuya
Published: October 2022

Color image enhancement is one of important process and actually a vital precursory stage to other stages in the field of digital image processing. This is due to the fact that the effectiveness of processes in this stage on the output determines the success of other stages for a quality overall performance. This paper presents a color image enhancement technique using lifting wavelet transform (LWT) and contrast limited adaptive histogram equalization (CLAHE) to overcome the issue of noise amplification, over and under-enhancement in exiting enhancement techniques. Test images from Computer Vision Database were used for the proposed technique and the performance was evaluated using PSNR and SSIM. Result obtained shows an average improvement of 56.4% and 20.98% in terms of PSNR and SSIM respectively.
Real Time Garbage Bin Capacity Monitoring
Authors: Latifah Nyayu Husni , Sitangsu Sitangsu , Rasyad Sabilal , Handayani Ade Silvia
Published: October 2022

This paper discusses about a garbage bin that can be monitored in real time.  The information of the garbage capacity can be obtained in the application that is integrated in the mobile phone.  The communication between the garbage bin and the mobile phone is intended to help the garbage collector and the user to monitor the capacity of the garbage in a garbage bin.  When it has been overloaded, the collector can manage the garbage by moving the garbage to the other bigger garbage bin. (landfill).  This garbage bin has been tested and it could run well.  It could open and close its cover as soon as it detected or did not detect the objects.  It could also send the information of the garbage capacity to the mobile phone immediately with delay only 0.45-0.47 s.
«Saratov Case» of G. G. Zamyslovsky through the Prism of social Relations of the Beginning of the xx Century. Law and Morals
Authors:   Saratov State University, Hasin V. V.
Published: October 2022

The paper is devoted to interpretation of «Saratov case» in the works of the famous figure of Russian right-wing movement G. G. Zamyslovsky. It examines the role of «Saratov case» in the propaganda of several provisions of the Right monarchists on the national and other issues. Particular attention is drawn to the ritual aspects of the Beilis case, the debate on this issue, the reasons for falsification of facts by the author. It also investigates the mechanism of inclusion of «ritual» mythology into the formal legislation.
I. A. Fessler about the French Revolution: French «Lessons» of German Conservatism
Authors:   Saratov State University, Gorbachev D. V.
Published: October 2022

This article is the analysis of the views of German philosopher IA Fessler on the French Revolution. The author analyzes the assessments which Fessler gives to the goals of the revolution, the actions of the revolutionary parliaments, and to the role of the masses. On the example of Fessler, the attitude of conservative German-speaking intellectual elite to the French political experience is examined.
Spanish Republican Fleet in 1936 Сampaign
Authors:   Saratov State University, Krelenko D. M.
Published: October 2022

Productive forces placement in Spain in XX c. made the country dependent on the control of the basic naval communications bordering the aquatorium. Military revolt, which broke out in 1936, made the situation even worse. However, it gave the Republic the opportunity to achieve sea superiority. Several failures of the Republican fleet during the first months of the Civil War and government policy of Madrid led to the sea blockade. Thus, the rebels deprived the Republic of the initial advantages and largely predetermined their own success in 1936–1939 Civil War.
Russia – Germany: an Attempt to a Strategic Partnership (1998–2005ss)
Authors:   National Research Lobachevsky State University of Nizhni Novgorod, Egorov A. I.
Published: October 2022

The article presents the dynamics of Russian-German cooperation between the late 1990s and the first half of the 2000s. It is established that the relationship between Russia and Germany have developed in cycles because they had passed the phase of rise and fall. The official interpretation of the bilateral relations as strategic partnership can not be considered successful in view of the conflicts generated by the contradictions in the national interests of Russia and Germany.
Genomic analysis of Fosfomycin resistance in multi-drug resistant uropathogens and comparison of in-vitro susceptibility methods uropathogens
Authors: Bir Raunak , Mohapatra Sarita , Kumar Arvind , Arif Nazneen , Tyagi Sonu , AK Aswin Pius , Gautam Hitender , Sood Seema , Kumar Das Bimal , Kapil Arti
Published: October 2022

Background  and  Objectives:  Urinary  tract  infection  is  one  of  the  most common  bacterial  infections  causing  high morbidity and mortality. Thealarming rise of multidrug-resistant uropathogens worldwide forced the clinician to re- think the old drugs like Fosfomycin for its therapeutic management. Our objective was to compare agar dilution, disc diffusion and E-test method for antimicrobial susceptibility testing of Fosfomycin againstdifferent drug-resistant uropathogens.
Materials and Methods: Consecutive 181 uropathogens were tested for Fosfomycin susceptibility using agar dilution, disc diffusion and E-test. Resultswere interpreted using Clinical and Laboratory Standards Institute (CLSI) and European Committee on Antimicrobial Susceptibility Testing (EUCAST)breakpoints. Whole genome sequencing analysis was done on the 4 XDR/PDR Fosfomycin resistant Klebsiella pneumoniae isolates.
Results: Escherichia coli was found as the most common (62.4%) uropathogen followed by Klebsiella pneumoniae (21%). Considering agar dilution as thegold standard, 6.1% of isolates were resistant to Fosfomycin. Following CLSI breakpoints, the susceptibility of Escherichia coli, Klebsiella pneumoniae,other Enterobacterales and Pseudomonas aeruginosa were 92.9%, 92.1%, 100%, 100%; whereas using EUCAST breakpoints the susceptibility rates were 85.7%, 86.9%, 92.9%, and 100%, respectively. The essential agreement, categorical agreement, major error, and very major error for E-test/ disc diffu- sion for all the organisms were91.2%/Not Applicable, 95%/93.9%, 1.8%/4.7%, 9.1%/9.1%, respectively. Whole-genome sequencing showed mutation UhpT gene as well as the presence of plasmid-mediated fosA5 or fosA6 genes conferring Fos- fomycin resistance.
Conclusion: This result supports very low resistance of Enterobacterales against Fosfomycin; hence should be considered a valuable option to treat multidrug-resistant uropathogens. Disc diffusion was observed to be a convenient method for Fosfo- mycin susceptibility testing compared to agar dilution.
FEATURES OF APPLICATION OF THE METHODS STATISTICAL MECHANICS IN RESEARCH OF GENERALIZATIONS OF THE CLASSICAL VOLTERRA CHAIN
Authors: Bibik Yuriy V.
Published: October 2022

An analytical study of one of the generalizations of the classical Volterra chain (coupled Volterra chain) has been carried out. The use of methods and approaches of statistical mechanics in the study made it possible to identify a number of important features of such models, which are currently widely used in research in chemistry, ecology, biology, economics, hydrodynamics, astrophysics, plasma physics. The advantage of the studied model is that the introduction of additional variables makes it possible to take into account a greater number of factors influencing the dynamics of the system without changing its algebraic structure. However, an attempt at a statistical description of the model reveals a significant drawback - the partition function of the system becomes divergent. In this regard, the possibility of an adequate statistical description of the coupled Volterra chain in the case of divergence of its partition function is investigated. For the selected specific model, the sources of the divergence of the partition function are identified, and a method for their cancel out is proposed. The partition function is calculated in an explicit and finite form, which allows us to state that an adequate statistical description of the phenomena described by this model is possible. Given the wide range of applications of the coupled Volterra chain, the results obtained are of interest to theorists and practitioners when analyzing and predicting the results of a statistical study of various generalizations of the model.
SOME BIOCHEMICAL AND MORPHOLOGICAL PROPERTIES OF YEAST SACCHAROMYCES CEREVISIAE UNDER STRESS CONDITIONS (REVIEW)
Authors: Islammagomedova Elvira A. , Khalilova Eslanda A. , Abakarova Aida A.
Published: October 2022

This review analyzes the processes of adaptation of yeast Saccharomyces to extreme conditions. Interest in the study of stress effects on yeast metabolism is associated with the use of extremophilic strains in various biotechnologies. The main biochemical processes that are fundamental in nature and occur in yeast cells at critical temperatures, ethanol, pH, NaCl and glucose are considered. The morphological characteristics of cells and giant colonies of yeast are given, the patterns of formation of which reflect changes in cellular metabolism under extreme conditions. The studies of industrial strains conducted to improve the fermentation kinetics, product yield and cell resistance under stress are summarized. Despite the large number of publications in this field, it is obvious that further study of the physiological state of S. cerevisiae cells under extreme conditions is promising, which is important for understanding the regulation of yeast metabolism and solving technological problems.
FAST MULTIPOLE ALGORITHM IN THE MESHLESS DISCRETE VORTEX METHOD FOR FLOWS OF NON-VISCOUS FLUID
Authors: Sumbatyan Mezhlum A. , Piskunov Andrei S.
Published: October 2022

In this paper, we present a method for calculating the flows of a non-viscous fluid using the fast multipole method. The method is based on the fact that the computational complexity can be reduced to the level of O(N log N) . A two-dimensional problem of the flow of a non-viscous incompressible fluid is formulated in terms of vorticity and velocity. Further, the authors describe in detail the scheme, principles, as well as the positive and negative aspects of using the fast multipole method in the hydrodynamic problems. As a test of the algorithm, the authors consider an example of the Chaplygin-Lamb dipole. The results of numerical simulation of the dipole motion are presented, being implemented on C++ and Python platforms. Some conclusions are drawn about the motion of the vortex structure on the basis of the calculated results.
METHANE AND HYDROGEN SULFIDE IN BOTTOM SEDIMENTS OF RESERVOIRS AND PONDS OF THE AZOV SEA BASIN
Authors: Gar'kusha Dmitry N. , Fedorov Yury A.
Published: October 2022

Gas-geochemical studies of bottom sediments and water of Sokolovsky, Grushevsky, Artemovsky, Veselovsky, Proletarsky, Tsimlyansky reservoirs and other dammed reservoirs were carried out. Concentrations of CH4 and ΣH2S in sediments vary from 0.02 to 61.3 μg/g and from <0.01 to 8.36 mg/g of wet sediment, respectively. The highest concentrations of CH4 are observed in the deposits of the Artemovsky, Tsimlyansky and Veselovsky reservoirs, and ΣH2S – in the deposits of the Proletarian, Tsimlyansky and Grushevsky reservoirs. The distribution of CH4 and ΣH2S along the vertical profile of sediments is characterized, as a rule, by an increase in concentrations from the surface layer to the subsurface horizons, in which their maximum peak is recorded, after which the concentrations decrease. The difference between the distribution of ΣH2S and the distribution of CH4 is the more frequent fixation of maximum concentrations of ΣH2S in less deep layers of sediments. The percentage of CH4 from the sum of the studied reduced gases (the coefficient of methanization of КCH4) in sediments varies from 0.004 to 11.1 %, which indicates a significant dominance of the process of sulfate reduction over the process of methanogenesis. The closeness of the relationships of the concentrations of CH4 and ΣH2S between themselves and the values of КCH4, pH and Eh deposits is analyzed.
Mental concepts: theoretical, observational or dispositional approach?
Authors: Pokropski Marek
Published: October 2022

In the article I discuss the conceptual problem of other minds and different approaches to mental concepts. Firstly, I introduce the conceptual problem and argue that solutions proposed by theory-theory and direct perception approach are inadequate. I claim that mental concepts are neither theoretical terms nor observational terms. Then, I consider third option which states that mental concepts are dispositional terms, i.e. they concern particular patterns (stereotypes) of behavior. Finally, I argue that dispositional approach is to some extent coherent with phenomenological account and that phenomenological concept of embodiment can improve this position.
Knowledge about our experience and distinguishing between possibilities
Authors: Matuszkiewicz Maria
Published: October 2022

In my article I reconstruct the main threads of Robert Stalnaker’s book Our Knowledge of the Internal World, which focuses on the problem of our epistemic relation to our experience and the relation between experience and knowledge. First, the book proposes an interesting view of externalism, which combines classical externalist claims with a contextualist approach to content ascriptions. The approach accommodates some important internalist intuitions by showing how content ascriptions can be sensitive to the perspective from which a subject perceives the world. Second, Stalnaker proposes a theory of self-locating and phenomenal knowledge, which should be understood in terms of differentiating between real possibilities. The puzzling upshot of this elegant solution is that  it commits one to the existence of possibilities accessible only from the first-person perspective. Finally, Stalnaker presents an argument which shows that our knowledge about our phenomenal experience is no more direct than the knowledge about external objects. Stalnaker’s claim that by merely having an experience we don’t learn any new information seems, however, too strict in light of his contextualist approach to content ascriptions.
Rompiendo Modelos de Negocios y Paradigmas, Acercamiento al Teletrabajo por Covid
Authors: Gutiérrez Dinorah Albigaldi Ramos , Prieto Mirna Portillo , Vázquez Juan Aguilar , Ávila José René Arroyo
Published: October 2022

El objetivo de esta investigación fue el de resumir, analizar y discutir los temas de holocracia y teletrabajo en tiempos de pandemia, para así poner a disposición del lector información ya publicada sobre temas específicos a través de revisión bibliográfica. Se analizaron distintas fuentes de información, mediante análisis-síntesis. Como resultado principal se presenta estudio comparativo mediante entrevistas de profundidad a empresarios de la localidad chihuahuense, donde se mencionan aspectos relevantes de gestión de capital humano, competencias y cultura laboral. Investigación documental y de campo, no probabilística, no estadística. Estudio de tipo cualitativo, con fines de diagnóstico descriptivo, transversal, de tipo exploratorio-descriptivo. Se presentan tablas comparativas de empresas utilizadas en el diagnóstico de los cambios en tiempo de pandemia en la ciudad capital (12 empresas).
Impact of Gender Based Violence on Community Development: Case Study of Rumonge Commune
Authors: Ndabarushimana Alexis , Mfisumukiza Gilbert
Published: October 2022

Gender-based violence is a global problem that affects women and girls of all races, colour and creed. It occurs across all socio-economic and cultural backgrounds, and in many societies, including Burundi despite different international, regional and national instruments ratified to protect women against GBV and its effects. This study conducted with 96 individuals selected using Alain BOUCHARD’s technic highlights the impact of gender based violence (GBV) on community development and provide some suggestions for action in remedy to gender based violence persistence for full community development. It specifically shows the reasons behind the persistence of gender based violence in Rumonge commune and its implications on the bad living conditions of families. To achieve this, we opted for qualitative approaches with the use of the interview guide and quantitative with the use of a questionnaire administered directly to heads of households distributed in 6 zones of Rumonge Commune. These reasons are fundamentally linked to Burundian culture and tradition that structures how people have to behave and live in the society. In view of the impact of GBV, identified as a constraint to individual and societal development, this article highlights a set of activities to be done to reduce GBV. These include community dialogues around laws regarding families, gender norms and development; education and awareness of the impacts and ways to prevent it for full community development.
Virtual Learning Communities: A Contribution to the Pre-Service Teachers’ Learning
Authors: Herrera Mateus Catalina , Herrera Varela Brenda Julieth , García Arjona John Jairo
Published: October 2022

This paper presents the pre-service teachers’ learning of didactics and language teaching methodologies during their participation in a virtual learning community. Three main concepts were defined: Virtual Learning Communities (VLCs), reflective practice, and learning from a sociocultural perspective. 25 pre-service teachers from a bachelor’s degree in language teaching participated in the VLC. A focus group and the pre-service teacher’s reflection in the VLC were used to collect information. The results show pre- service learned to reflect on and use effective teaching materials; to select, adapt and combine language teaching methodologies, and to criticize themselves, their lessons plan, and their performance in order to improve their teaching practice.
Desarrollo de destrezas orales en español a través de actividades argumentativas enfocadas en la cultura arhuaco
Authors: Duque Briceño Jessica Juliette , Malagón Viasus Juan Carlos , Vásquez Diana Marcela , Castellanos Jaimes Judith
Published: October 2022

Este artículo describe la implementación de actividades argumentativas enfocadas en la Cultura Arhuaco, y su efecto en las habilidades orales de estudiantes de educación media. Llevamos a cabo un estudio cualitativo e implementamos un ciclo de investigación-acción: la fase de acción consistió en una intervención pedagógica de 3 aplicaciones (4 períodos de clase cada una). Durante la fase de observación, recolectamos datos, y para la fase de reflexión, analizamos dichos datos. La triangulación y reducción de datos nos permitió identificar patrones y proponer dos categorías de análisis como hallazgos iniciales. Concluimos que los estudiantes conocían pocos métodos argumentativos, pero al tratar temas de forma interactiva o temas que eran de interés para ellos, exponían muchos argumentos para defender sus ideas. Las lecciones interculturales enfocadas en la cultura Arhuaco mejoraron las habilidades argumentativas de los estudiantes ya que podían contextualizarse para respaldar algunas de sus ideas. La intervención también permitió a los estudiantes ver a Colombia como un país multicultural
Relationship between anxiety level and metabolomic profile of human blood serum
Authors:   Institute for Biological Problems of Cryolithozone SB RAS, Kolosova O.N. , Zasimova E.Z. ,   Institute of Physical Culture and Science of the NorthEastern Federal University named aft er M.K. Ammosov, Sleptsov I.V. ,   Institute for Biological Problems of Cryolithozone SB RAS, Rozhina S.M. ,   Institute for Biological Problems of Cryolithozone SB RAS, Kershengolts B.M. ,   Institute for Biological Problems of Cryolithozone SB RAS, Kakotkin V.V. ,   Moscow State University Medical Center. M.V. Lomonosov
Published: October 2022

Th e aim. To study the relationship between the level of anxiety (personal and situational) of student-athletes and the metabolomic profi le of blood plasma.In the study in April 2021, on the basis of informed voluntary consent, 17 student-athletes (mas-wrestling) of the fi rst courses of the Institute of Physical Culture and Sports of NEFU named aft er. M.K. Ammosova. Th e results obtained indicate a correlation between the level of anxiety (ST and LT) and metabolic processes in the body, as a result of which the profi le of low molecular weight compounds diff ers.
Mechanisms underlying the development and evolution of the mammalian cerebral cortex
Authors:   Kanazawa University, Kawasaki H.
Published: October 2022

The cerebral cortex has markedly changed during evolution. Using our technique, here we examined the mechanisms regulating the number of astrocytes in the cerebral cortex.