Main Problems Research Articles

Muslim mosques of the Yenisei province in the legal framework of the Russian Empire in the second half of the 19th — early 20th century

In this article, the functioning of Muslim parishes in the Elysee province in the second half of the 19th — early 20th centuries is being examined. The paper has been prepared using archival materials of the State Archive of the Krasnoyarsk Territory and Central State Historical Archive of the Republic of Bashkortostan, many of which are being introduced into scientific discourse for the first time. The archival materials are presented by petitions from Muslims of the Yenisei Province, and the associated correspondence from provincial departments and the Orenburg Mohammedan Spiritual Assembly. Based on the analysis of the source base, it has been established that the active construction of religious buildings on the territory of the Yenisei Province by Muslims only started in the beginning of the 20th century. Mosques performed not only a religious function for Muslims, but also a public institution uniting representatives of the Islamic tradition. Despite the fact that the community was obliged to cover all construction and maintenance costs itself, the process of obtaining such permissions was quite lengthy. For example, in the city of Yeniseisk, it took several years for the Muslim community to obtain the permission and build a mosque. The first petition for the permission to build a mosque in Yeniseisk was sent to the Orenburg Mohammedan Spiritual Assembly in 1865, and the mosque itself was built only in 1906. To obtain the permission to build a religious building, the Muslim community had to prove its worth, both before provincial authorities and the Orenburg Mohammedan Spiritual Assembly. A separate decision on the possibility of building a mosque in the region was given by the diocesan authorities in order to establish the fact that a religious building built by Muslims would not infringe on the interests of the Orthodox population, as well as attract the newly baptized people. At the beginning of the 20th century, with the increase in the number of immigrants in the region, there was a discernible trend towards the larger number of Muslim communities in the Yenisei Province, and at the same time of the construction of mosques. Furthermore, during this period, there were certain relaxations in the requirements for religious construction for Mus-lims. However, all these changes, as well as active position of the Muslim population in the region still required lengthy corre-spondence with government officials, as well as spiritual departments, both of the Muslims themselves and the Russian Ortho-dox Church. One of the main problems, which remained intractable even in the beginning of the 20th century, was concerned with the compliance with norms of the Construction Charter regarding the size of the parish. The Yenisei Province remained being a multi-confessional region, where the Muslim community was not always dense.

Impact assessment of the fuel and energy complex on the ecological state of the Gulf of Ob waters

Ensuring environmental safety in the Arctic, where most large hydrocarbon deposits are concentrated, is one of the main problems of the 21st century. At the same time, the Gulf of Ob is a strategically important area where grandiose energy resource and transport projects are being implemented. An important indicator of environmental safety is the research of atmospheric impurities on the surface of the large bay of the Kara Sea, which has not been sufficiently studied to date. The purpose of the research is to assess the impact of the activities of the fuel and energy complex on the ecological state of the waters of the Gulf of Ob for 2016-2020 using geographic information systems. The Earth program was used in the research; statistical processing of the results was carried out using IBM SPSS Statistics 21 software. It has been established that in the winter period of the year, in contrast to the summer, on the surface of the water area of the Gulf of Ob there is a significant increase in the concentration of gaseous impurities and a decrease in suspended particles, especially over the water area of the Gulf of Ob at the northern latitude of 68.80º an area of intensive gas production. Moreover, in the summer, the content of suspended particles (PM1, PM2.5, PM10), as well as the CO concentration at this latitude were higher compared to the more northern latitude. Thus, the intensive development of the fuel and energy complex in this region is associated with an environmental component (carbon footprint) on the surface of the Gulf of Ob, which requires a more in-depth research within the carbon polygon.

The problems and countermeasures of private education management based on fuzzy logic system

At present, private education plays an important role in China’s education system, but there are a series of problems and challenges in the management of private education. The purpose of this study is to discuss and solve the problems existing in the management of private education through the method of fuzzy logic system. Firstly, the application of fuzzy logic systems in related fields is reviewed to understand the potential and advantages of fuzzy logic systems. Then, through the analysis of the main problems in the management of private education, the root of these problems and their impact on the education system are revealed. By establishing a private education management model based on fuzzy logic system, the application and function of this model in problem analysis and decision making are demonstrated. In the analysis of the results, the accuracy and effectiveness of the fuzzy logic system in the management of private education are evaluated, and the targeted management strategies and countermeasures are put forward to solve the problems in the management of private education.

Многообразие форм общественного контроля в России как его принцип

The domestic system of public control is quite diverse. The paper examines this diversity as a basic principle of public control in the Russian Federation, as well as the main problems related to its implementation. The author developed several prospective solutions. A. The public control institution can be incorporated into the Constitution. B. The range of public control forms can be increased. C. Positive foreign experience can be adapted to Russian realities or even incorporated into Russian legislation. D. Russia needs a special system to analyze the economic efficiency and effectiveness of individual forms of public control. E. The number of structures authorized to organize and exercise public control may be expanded. F. Any entities that hinder the implementation of public control must be subjected to stricter legal liability.

Usefulness of Schirmer's tear strips and borosilicate glass tubes in chemical analysis of human tear fluid: A practical check in VEGF detection.

Human tears contain a number of agents which may play an important role in diagnosing local eye disorders as well as systemic diseases. The small amount of fluid obtained during the collection and the consequent difficulty in analysing it are the main problems encountered in the diagnostic process. We decided to investigate the practical usefulness of two simple methods of collecting tear fluid for chemical analysis, i.e., glass tubes and Schirmer's strips. The substance analyzed was vascular endothelial growth factor (VEGF), a compound commonly recognized in ophthalmology. We used standard Schirmer's tear test and calibrated glass tubes for tear fluid collection in healthy volunteers. The standard ELISA assay was used to check the effectiveness of the tear sampling by estimating the VEGF level. The results of the study show that Schirmer's tear strip test is a more effective tool of the two. Moreover, using Schirmer's strips to obtain tear fluid was found to be more patient friendly and amounts of the tear fluid collected with that test were enough and better for the VEGF detection. Our study indicates that the widely used Schirmer tear test may be the best method of tear collection for chemical analysis. However, further studies on test calibration are needed.

The responsibility of corporate actors involved in international crimes through autonomous weapons systems (AWS) before the international criminal court (ICC)

The use of autonomous weapons systems (AWS) has led to several opposing legal opinions regarding their violations of international law. The responsibility of the state, individuals, and corporations as producers, designers, and programmers is all being taken into consideration. If the decision to kill humans without “meaningful human control” is transferred to computers, it would be hard to attribute accountability for the actions of AWS to their corporations. Consequently, this means that corporate actors will enjoy impunity in all cases. The present paper indicates that the most significant problem arising from the use of AWS is the attribution of responsibility for its violation. Corporations are not subject to liability for the legitimate use of weapons under international law. The main problem with corporate responsibility, according to article 25 (4) of the Rome Statute, is that the provision only relates to individual criminal responsibility and that the ICC shall only have jurisdiction over natural persons. Nevertheless, corporations may be held accountable under aspects of international law. The paper proposes a more positive view on artificial intelligence, raising corporations’ accountability in international law by historically linking the judging of business leaders. The article identifies aiding and abetting as well as co-perpetration as the two modes of accountability under international law potentially linked to AWS. The study also explores the main ambiguity in international law relating to corporate aiding and abetting of human rights violations by presenting the confusion on determining the standards of these 2 modes of liability before the ICC and International ad doc Tribunal. Moreover, with the new age of war heavily dependent on AI and AWS, one cannot easily and precisely ascertain who must be held accountable for war crimes because of the unanticipated facts in decision-making combined with the aiding or abetting of violations of international law. International law prioritizes the goal of ending impunity for the individual and largely neglects the need to achieve the same goal for corporate complicity. In sum, progress to regulate the use of AWS by corporate actors could be enormously helpful to the cause of ending impunity.

Sentiment analysis model for cryptocurrency tweets using different deep learning techniques

Abstract Bitcoin (BTC) is one of the most important cryptocurrencies widely used in various financial and commercial transactions due to the fluctuations in the price of this currency. Recent research in large data analytics and natural language processing has resulted in the development of automated techniques for assessing the sentiment in online communities, which has emerged as a crucial platform for users to express their thoughts and comments. Twitter, one of the most well-known social media platforms, provides many tweets about the BTC cryptocurrency. With this knowledge, we can apply deep learning (DL) to use these data to predict BTC price variations. The researchers are interested in studying and analyzing the reasons contributing to the BTC price’s erratic movement by analyzing Twitter sentiment. The main problem in this article is that no standard model with high accuracy can be relied upon in analyzing textual emotions, as it represents one of the factors affecting the rise and fall in the price of cryptocurrencies. This article aims to classify the sentiments of an expression into positive, negative, or neutral emotions. The methods that have been used are word embedding FastText model in addition to different DL methods that deal with time series, one-dimensional convolutional neural networks (CONV1D), long-short-term memory networks (LSTMs), recurrent neural networks, gated recurrent units, and a Bi-LSTM + CONV1D The main results revealed that the LSTM method, based on the DL technique, achieved the best results. The performance accuracy of the methods was 95.01, 95.95, 80.59, 95.82, and 95.67%, respectively. Thus, we conclude that the LSTM method achieved better results than other methods in analyzing the textual sentiment of BTC.

Social Memory Theory and the Enigmatic Mediated Past in Historical Jesus Research

Abstract The recent appropriation of social memory theory in Jesus studies has brought us to a fork in the road in relation to what is meant by a continuity of remembrances about Jesus. Currently, the common claim among many Jesus scholars is that the past of Jesus is knowable through or is contained within the memory process, not behind it or apart from it. Mnemonic processes and their text-products are regarded as a means to an historical end as opposed to being an end in and of themselves. The main problem presented in this article is that the pervading references to, and assumptions about, the mediated past as a potential link between the evangelists’ present and the actual past of Jesus lack the clarification and critical support that is needed for advancing historical Jesus research.

Combustion Characteristics of a Hydrogen-Fueled TJI Engine under Knocking Conditions

The use of a two-stage combustion system in a hydrogen-fueled engine is characteristic of modern internal combustion engines. The main problem with hydrogen combustion in such systems is knocking combustion. This paper contains the results of research under knock combustion conditions with a single-cylinder internal combustion engine equipped with a turbulent jet ignition system (TJI). A layout with a passive pre-chamber and a variable value of the excess air ratio range λ = 1.25–2.0 with a constant value of the center of combustion (CoC = 4 deg) after top dead center (TDC) was used. Two indicators of knock combustion were analyzed: maximum oscillation of pressure and the Mahle Knock Index. Analyses were also carried out taking into account the rate of heat release and the amount of heat released. As a result of the investigation, it was found that knock combustion occurs intensively at small values of the air excess ratio. Hydrogen knock combustion disappears for λ = 2.0 and greater. The pressure oscillation index was found to be more applicable, as its limiting value (>1 bar) allows easy diagnosis of knock combustion. The Mahle Knock Index is a quantity that allows interval analysis of the knock. The choice of classes and weighting coefficients requires an iterative operation, as they strictly depend on engine characteristics, load, and knock magnitude.

An ontology‐based rule mapping approach for integrating IFC and CityGML

AbstractBuilding information modeling (BIM) and geographic information system (GIS) are often integrated to achieve more refined urban management. Industry Foundation Classes (IFC) and City Geography Markup Language (CityGML) are widely used standards in BIM and GIS. The main problem of the transformation of these two standards lies in the gap between them in geometry and semantics. This article introduces an ontology‐based rule mapping approach, achieving the transformation from IFC to CityGML through coordinate system conversion, geometric expression conversion, and semantic mapping. For semantic mapping, we have designed and established rules, enabling the effective mapping of the IFC model to the CityGML level of detail 0 (LOD0) to LOD4 model based on entities, appearance properties and building properties. To fully demonstrate the entire process, we give a detailed elaboration of the conversion of several IFC models.

Coordinated Control of Carbon Emission Reduction and Air Quality Improvement in the Industrial Sector in Hunan Province

Climate warming and air pollution are the main environmental problems in China. This study used China's Carbon Accounting Database, energy economic model, and air quality model to analyze the potential carbon emission peaking path and synergistic air quality improvement gain in the industrial sector in Hunan Province. Based on China's Carbon Accounting Database and the local industry/energy statistical yearbooks in Hunan, the total CO2 emissions in Hunan Province in 2019 were 310.6 Mt, of which the industrial sector accounted for over 70% of the emissions, mainly from the production and supply of electricity, steam, and heat; the production of non-metallic minerals; and the smelting and pressing of ferrous metals. Three potential industrial carbon emission peaking scenarios were analyzed using the LEAP energy economic model, including the business-as-usual scenario (peaking by 2030), moderate emission reduction scenario (peaking by 2028), and aggressive emission reduction scenario (peaking by 2025), by employing different economic growth rates, energy technology progress, and energy structures of the industrial sector. Furthermore, by combining the anthropogenic air pollutant emission inventory and the regional air quality model WRF-Chem, we analyzed the air quality improvement associated with various carbon emission peak paths. The results showed that the annual mean concentrations of major air pollutants had decreased in the three scenarios, especially in the Chang-Zhu-Tan Region. The aggressive emission reduction scenario was the most effective scenario, followed by the moderate emission reduction scenario and the business-as-usual scenario. Manufacturing was the sector with the most significant synergistic effect of pollution and carbon reduction. When carbon emission peaks were achieved, the annual average concentrations of PM2.5 and PM10 in Hunan Province could be synergistically reduced by 0.6-1.8 μg·m-3 and 1.8-8.9 μg·m-3, respectively. Our findings offer important insights into carbon emission peaking and can provide useful information for potential mitigation actions.

Kierkegaard’s Theories of the Stages of Existence and Subjective Truth as a Model for Further Research into the Phenomenology of Religious Attitudes

There are many religions in the human world, and people manifest their religiousness in many different ways. The main problem this paper addresses concerns the possibility of sorting out this complex world of human religiousness by showing that it can be phenomenologically reduced to a few very basic existential attitudes. These attitudes express the main types of ways in which a human being relates to his or herself and the world, independently of the worldview or religion professed by the individual. I use Kierkegaard’s theories of the stages of existence and subjective truth as a model. The theory of the stages of existence provides five basic existential attitudes on the basis of which religious attitudes can develop: spiritlessness, the aesthetic, the ethical, religiousness A, and religiousness B. The theory of subjective truth shows how the concept of truth functions in an ethical and existential sense as the personal truth of an individual engaged in building their religious identity. In turn, I discuss the problem of the relation of Kierkegaard’s philosophy to phenomenology, briefly introduce his concept of subjective truth and the stages of existence, and show how existential attitudes can be transformed into religious ones. I also consider the problem of the demonic as the inverted order of this anthropological and existential model. Finally, I argue that the model developed herein may be useful for further research into the phenomenology of religious attitudes.

The Role of Chatbots in Developing Scientific Research Skills

The research aimed to understand the role of chatbots in developing research skills from the viewpoint of university students. The researchers followed a descriptive approach and used a questionnaire as a research tool. The results showed that chatbots have a moderate role in developing research skills among university students. The main problem with employing chatbots in scientific research is the accuracy and reliability of the data they provide. The potential risks of this employment were found to be high, including increased dependency and apathy among students, loss of creativity, and the possibility of personal data violation and sharing with external parties. Furthermore, responses to the research’s hypotheses showed that undergraduate students benefited more from chatbots in their research writing compared to postgraduate students, and students in theoretical colleges relied on chatbots in their research more than students in applied colleges. The researchers recommended integrating chatbots into university courses related to teaching research methodologies and forming expert programming teams to develop interactive chat applications capable of providing accurate documented information and translating reports and abstracts accurately while formatting data to fit the writing style in scientific research. Additionally, there should be an awareness campaign about the risks of using chatbots, especially regarding the protection of user data and ownership rights, and increasing researchers' reliance on chatbots to complete their scientific research. KEYWORDS Artificial intelligence, database, electronic fraud, interactive chat, search engines, simulation.

What do people know and think about medical overuse? an online questionnaire study in Germany.

Medical overuse is defined as health care services that exceed the individual needs of patients and when the potential harms of medical interventions exceed their benefits. It has impacts on patients as well as on health care resources. To address medical overuse, it is important to understand the knowledge and experiences of overuse on the side of patients. What is the citizens' understanding of overuse? How do they assess its relevance, causes, consequences and potential solutions? A quantitative online survey was conducted. The participants were asked to state what they understand by medical overuse. Statements on causes, consequences and possible solutions were evaluated. Recruitment was carried out via a panel of a market research institute (Schlesinger Group). The survey was completed by 406 participants. In terms of age and gender, the sample corresponded to the distribution in the German population. The majority had never heard of medical overuse (58%). About 60% assumed that medical overuse means "too much medicine including overtreatment and overtesting". Medical overuse was mainly suspected for services not covered by the public health insurance system (56%), surgical interventions (45%) and medication prescriptions (37%). Reasons for medical overuse were seen in uncoordinated care and financial incentives, but also in the expectations of patients. The main problem with medical overuse was seen in rising health care costs, while harmful physical and mental consequences for patients were mentioned less often. In order to reduce medical overuse, little importance was attributed to a primary care based system or higher financial contribution of patients. Instead, stricter cost control on the side of physicians and better coordination between care providers were suggested as solutions. Differences in socio-demographic characteristics hardly showed any differences in response behavior. More than half of the respondents had never heard of medical overuse. Overuse was mainly associated with financial causes and consequences. It was not seen that overuse can be harmful for patients directly. The limited awareness of the problem of overuse probably is a barrier to tackling it effectively. Communicating the topic to the public might therefore be an effective start to mitigate medical overuse. Many citizens seem not to be familiar with the concept of medical overuse, especially not with the fact that it may directly cause harm to patients. Informing citizens about the harms of medical overuse might be helpful in mitigating it.

Analisis pengendalian internal persediaan barang dagang di Nehemia Mart Tahuna

This study aims to determine the internal control system for merchandise inventory according to the COSO framework at Nehemia Mart Tahuna. The research method used in this research is descriptive qualitative. The data used in this study is primary data with interview, documentation and observation collection techniques. The results of this study indicate that the internal control system for merchandise inventory at Nehemia Mart as a whole has not been implemented properly as there are still several internal control components that are not in accordance with the COSO framework. The main problem in this case is the owner is not firm in implementing every rule.

Exploring Candidate Genes and Regulatory Mechanisms for Salt–Alkali Tolerance in Cucumber

Soil salinization is one of the main problems faced by modern agricultural production, especially cucumber production. This study screened the salt–alkali-tolerant cultivar ‘D1909’ and the salt–alkali-sensitive cultivar ‘D1604’ from 32 different cucumber ecological types on the basis of morphological indicators and salt–alkali indices combined with relevant physiological and biochemical indices. By performing a transcriptome metabolome analysis, the key gene CsSRG1, which is responsive to salt–alkali stress in cucumber, was screened, and its function was verified. The role of CsSRG1 in reducing salt–alkali stress in cucumber was clarified, and the mechanism of salt–alkali tolerance in cucumber was preliminarily explored. This study provides germplasm resources for cucumber salt–alkali tolerance breeding and a theoretical basis for the effective use of saline alkali soil to achieve high quality and high yield in other crops.

The Determinant of Time in the Logistical Process of Wind Farm Planning

Planning logistical processes supports the managerial processes of an enterprise, including investments such as wind farm construction. The aim of the article is to analyze and assess the time determinant in the logistical process of wind farm planning. The research method involves the analysis of a case study on the investment planning of a wind farm (WF) in Poland from 2008 to 2020. The Critical Path Method (CPM) was applied to the planning and scheduling of projects and logistical planning processes at WF Barwice. As a result of the research efforts, which included the identification of stages, time frames, critical paths, and construction conditions, the outcome is a concept for optimizing the logistical process of wind farm planning. The main problem associated with the planning of this investment was the analysis and evaluation of the environmental factors that would impact upon a positive assessment of the construction of WF Barwice. The outcome is the optimization of the time determinant in the logistical process of wind farm planning from 14 years to 10; however, legal, administrative, and environmental constraints have influenced the achieved result.

Privacy Risk and Correction Mechanism of Higher Education Mooc Based on Blockchain Technology in the Era of Big Data

The emergence of Massive Online Open Course (MOOC) has sparked a digital tsunami globally, bringing a huge impact on higher education. The open curriculum format of MOOC has achieved the optimal transmission of top teaching resources and personalized teaching based on different groups, which is different from traditional teaching models. At the same time, in the process of implementing educational activities, the MOOC platform based on big data mining will bring a certain degree of privacy risk due to improper data collection, storage, or processing. The traditional MOOC have not achieved as much as they should. The main problem is that fully centralized online education cannot solve the trust problem. The emergence of blockchain technology solves the problem of lack of trust, but the open and transparent mechanism of blockchain also introduces a new problem, that is, the privacy of user data can not be reasonably protected.

Effect of Li6.4La3Zr1.4Ta0.6O12 Fillers on the Interfacial Properties between Composite PEO-LiTFSI Electrolytes with Li Metal during Cycling.

PEO-LiX solid polymer electrolyte (SPE) with the addition of Li6.4La3Zr1.4Ta0.6O12 (LLZTO) fillers is considered as a promising solid-state electrolyte for solid-state Li-ion batteries. However, the developments of the SPE have caused additional challenges, such as poor contact interface and SPE/Li interface stability during cycling, which always lead to potentially catastrophic battery failure. The main problem is that the real impact of LLZTO fillers on the interfacial properties between SPE and Li metal is still unclear. Herein, we combined the electrochemical measurement and in situ synchrotron-based X-ray absorption near-edge structure (XANES) imaging technology to study the role of LLZTO fillers in directing SPE/Li interface electrochemical performance. In situ XRF-XANES mapping during cycling showed that addition of an appropriate amount of LLZTO fillers (50 wt %) can improve the interfacial contact and stability between SPE and Li metal without reacting with the PEO and Li salts. Additionally, it also demonstrated the beneficial effect of LLZTO particles for suppressing the interface reactions between the Li metal and PEO-LiTFSI SPE and further inhibiting Li-metal dendrite growth. The Li|LiFePO4 batteries deliver long cycling for over 700 cycles with a low-capacity fade rate of 0.08% per cycle at a rate of 0.3C, revealing tremendous potential in promoting the large-scale application of future solid-state Li-ion batteries.

Screening of Maize Varieties with High Biomass and Low Accumulation of Pb and Cd around Lead and Zinc Smelting Enterprises: Field Experiment

In the long-term production process of lead and zinc smelting enterprises, atmospheric subsidence leads to the accumulation of heavy metals in surrounding farmland, which poses a serious threat to the growth of crops and food safety. Given the knowledge that heavy metal pollution in cultivated land does not support treatment and restoration, determining how to ensure the quality and safety of agricultural products is the main problem facing the agricultural industry at present. Previous studies have mainly focused on the low accumulation of heavy metals in maize varieties, while the removal of heavy metals from soil through high biomass has been studied less. In order to identify the maize varieties that demonstrate high removal and low accumulation of heavy metals, 29 maize varieties were planted in soil contaminated with lead (Pb) and cadmium (Cd), and the growth status of the maize varieties and the absorption and transport of Pb and Cd by different tissues were studied. The results showed that heavy metals had the least effect on the growth of the Longhuangbai3, Jinqiuyu 35, Jinyi 418, and Qiuqing 88 varieties, and the content of Pb and Cd in maize varieties was in the order leaf > stem > root > grain. It was found that soil remediation and safe production can be taken into account in the results of the Qiuqing 88 (Pb, Cd), Fengdeng 2025 (Cd), and Yayu 719 (Pb, Cd) varieties. Moreover, the Xinzhongyu 801 (Cd) and Longdan 1701 (Pb) varieties demonstrated high metal accumulation in the edible part, which poses a potential risk to human health; thus, they are not recommended for local cultivation.