bluuebunny/crossref_metadata_2025 huggingface dataset:
Faktor-Faktor yang Memengaruhi Tingkat Pengetahuan Ibu di Surabaya tentang Ruam Popok dan Penanganannya
Authors: Sanggar Wachono  , Dhavindra Salsabila Prasetyo  , Salma Dina Adila  , Kevin Kurniawan Wiyogo  , Keysha naila andhany  , Khansa Nayla Fida  , Mayomi Zhafirah Ardani  , Syafira Annisa Permatasari  , Gaskar Armaichika  , Rosita Artauli Silalahi  , Gesnita Nugraheni
Published: June 2024

Ruam popok merupakan inflamasi akut yang banyak terjadi pada kulit bayi dan balita di dalam area popok, yaitu di sekitar alat kelamin, pantat, serta pangkal paha bagian dalam. Pengetahuan tentang ruam popok diketahui turut berpengaruh pada keberhasilan terapi dan pencegahannya. Penelitian ini bertujuan untuk mengetahui tingkat pengetahuan dan pengalaman Ibu mengenai ruam popok dan penanganannya serta menganalisis hubungan faktor demografi dengan pengetahuan. Penelitian ini bersifat cross-sectional, yang dilakukan melalui survei. Kriteria inklusi responden yaitu (1) seorang Ibu, (2) berusia minimal 19 tahun, (3) memiliki anak yang menggunakan popok. Instrumen yang digunakan berupa kuesioner berisi 23 item dan telah divalidasi isi dan rupa. Analisis data dilakukan secara deskriptif dan inferensial. Sebanyak 106 responden berpartisipasi pada survei ini. Data demografi menunjukkan bahwa proporsi terbesar ada pada rentang 25-29 tahun (28,3%), tamat SMA (42,5%), tidak bekerja (38,7%), memiliki penghasilan 1,5-4,5 juta per bulan (40,6%), serta memiliki 2 anak (47,2%). Ruam popok dialami pada anak dari lebih dari sebagian responden (66%). Usia tersering saat mengalami ruam popok yaitu 8 bulan, dengan tingkat keparahan ringan (41,5%). Sekitar seperlima dari total responden penelitian ini memiliki tingkat pengetahuan sedang (19,8%) dan melakukan penanganan sendiri untuk mengatasi ruam popok (50,9%). Tingkat pendidikan dan penghasilan memiliki hubungan dengan tingkat pengetahuan yang dimiliki Ibu (p≤0,05). Pengetahuan ibu mengenai ruam popok dapat lebih ditingkatkan khususnya terkait macam penyebab ruam popok dan pengobatannya. Promosi kesehatan terkait ruam popok diperlukan terutama pada ibu dengan tingkat pendidikan dan penghasilan yang rendah, agar ruam popok dapat dicegah dan ditangani dengan baik.
Kepuasan Penggunaan Aplikasi Med-Pharm Games dalam Pembelajaran
Authors: Rani Tiara Desty  , Dessy Ratna Sari  , Desi Fujiana
Published: June 2024

Teknologi dan pendidikan menjadi kesatuan dalam perkembangan zaman. Game edukasi adalah permainan yang diciptakan untuk memicu kekuatan berpikir. Salah satu perkembangan game edukasi bagi mahasiswa adalah Aplikasi Med-Pharm Games berfungsi untuk mengetahui nama-nama obat dan kegunaanya. Tujuan penelitian ini adalah untuk mengetahui bagaimana kepuasan mahasiswa terhadap penggunaan aplikasi Med-Pharm Games. Penelitian ini adalah deskriptif kuantitatif dan pengambilan data secara cross-sectional. Populasi dan sampel dari penelitian ini adalah adalah mahasiswa semester 1 Jurusan Farmasi Kampus 3 Poltekkes Kemenkes Surakarta berjumlah 40 mahasiswa. Variabel yang diteliti adalah kepuasan pengguna aplikasi yang mencakup dimensi isi dan kemudahan penggunaan. Analisis data menggunakan analisis univariat secara statistik. Hasil penelitian menunjukkan lebih banyak responden yang berjenis kelamin perempuan (92,5%) dibanding laki-laki. Sebagian besar (72,5%) responden berusia 18 tahun.  Pada dimensi isi bahwa hampir seluruh responden menilai susunan bahasa yang digunakan pada aplikasi sudah sesuai dengan kaidah bahasa Indonesia maupun bahasa asing dengan sangat baik. Lebih dari separuh responden (70,0%) menyatakan game ini dapat membantu mahasiswa untuk memahami materi farmakologi dengan sangat baik. Sebagian besar responden (47,5%) menyatakan sangat puas saat menggunakan Med-Pharm Games. Hal akurasi dari sistem perlu diperbaiki dari aplikasi. Dengan demikian, dapat meningkatkan kinerja operasi dari aplikasi Med-Pharm Games.
The Role of TIKA in the Humanitarian Sphere of Türkiye Foreign Policy During the AKP Governance (2002–2023)
Authors: Belous Y. , Goryushina Y. , Kuliyeva N.
Published: June 2024

The article aims to analyze the role of the Turkish Cooperation and Coordination Agency (TIKA) in the implementation of Türkiye’s humanitarian policy during the Justice and Development Party (AKP) governance. The authors identify three main tracks in the evolution of TIKA during the AKP rule: from an exclusively state body to a connecting institution in the triangle “state – business – civil society”; from the focus on Turkic states to growing attention towards countries of the Middle East, Africa, and the Balkan Peninsula; from an instrument for providing humanitarian assistance to a mechanism for promoting Turkish values in priority regions. The article examines the features of changes in the status, tasks, and functions, as well as the geographical scope of TIKA’s activities as an instrument for implementing humanitarian policy of Türkiye. The authors come to the conclusion that one of the key elements of TIKA’s success is an integrated approach to the implementation of humanitarian projects. This includes not only organization of cultural and educational events, but also its mediating role in the implementation of infrastructure projects, as well as initiatives in the fields of education and religion.
The Collapse of the European Collective Security System
Authors: Arbatova N.
Published: June 2024

Европейская безопасность всегда зависела от отношений между Востоком и Западом, лидерами которых были СССР и США. И сегодня более чем когда-либо европейская безопасность зависит от состояния отношений между Россией и Западом, которые за последние 30 лет прошли через несколько этапов – завышенные ожидания, упущенные возможности, беспрецедентный кризис и неопределенное будущее. Украинский конфликт, который можно рассматривать как квинтэссенцию этого беспрецедентного кризиса, ставит РФ и Запад перед неизвестным будущим. Окончание биполярности, устранившее идеологические барьеры между бывшими противниками, открыло небывалые перспективы для строительства новой системы европейской безопасности. Однако именно в этот благоприятный период с точки зрения международной обстановки возникли новые противоречия между Россией и Западом, положившие начало эрозии концепции европейской безопасности и конец достижениям Хельсинкского Заключительного акта и Парижской хартии.
Preventing the Diffusion of Disinformation on Disaster SNS by Collective Debunking with Penalties
Authors: Kubo Masao , Sato Hiroshi , Iwanaga Saori , Yamaguchi Akihiro
Published: June 2024

As online resources such as social media are increasingly used in disaster situations, confusion caused by the spread of false information, misinformation, and hoaxes has become an issue. Although a large amount of research has been conducted on how to suppress disinformation, i.e., the widespread dissemination of such false information, most of the research from a revenue perspective has been based on prisoner’s dilemma experiments, and there has been no analysis of measures to deal with the actual occurrence of disinformation on disaster SNSs. In this paper, we focus on the fact that one of the characteristics of disaster SNS information is that it allows citizens to confirm the reality of a disaster. Hereafter, we refer to this as collective debunking, and we propose a profit-agent model for it and conduct an analysis using an evolutionary game. As a result, we experimentally found that deception in the confirmation of disaster information uploaded to SNS is likely to lead to the occurrence of disinformation. We also found that if this deception can be detected and punished, for example by patrols, it tends to suppress the occurrence of disinformation.
A Study for Comparative Analysis of Dueling DQN and Centralized Critic Approaches in Multi-Agent Reinforcement Learning
Authors: Sugimoto Masashi , Hasegawa Kaito , Ishida Yuuki , Ohnishi Rikuto , Nakagami Kouki , Tsuzuki Shinji , Urushihara Shiro , Sori Hitoshi
Published: June 2024

In this study, we introduce a deep Q-network agent utilizing a dueling architecture to refine the valuation of actions through separate estimations of the state-value and action-value functions, adapted to facilitate concurrent multi-agent operations within a shared environment. Inspired by the self-organized, decentralized cooperation observed in natural swarms, this study uniquely integrates a centralized mechanism, or a centralized critic. This enhances performance and coherence in decision-making within the multi-agent system. This hybrid approach enables agents to execute informed and optimized decisions by considering the actions of their counterparts while maintaining an element of collective and flexible task-information sharing, thereby presenting a groundbreaking framework for cooperation and information sharing in swarm robot systems. To augment the communication capabilities, we employ low-power wide-area networks, or Long Range (LoRa), which are characterized by their low power consumption and long-range communication abilities, facilitating the sharing of task information and reducing the load on individual robots. The aim is to leverage LoRa as a communication platform to construct a cooperative algorithm that enables efficient task-information sharing among groups. This can provide innovative solutions and promote effective cooperation and communication within multi-agent systems, with significant implications for industrial and exploratory robots. In conclusion, by integrating a centralized system into the proposed model, this approach successfully enhances the performance of multi-agent systems in real-world applications, offering a balanced synergy between decentralized flexibility and centralized control.
Unveiling Multi-Agent Strategies: A Data-Driven Approach for Extracting and Evaluating Team Tactics from Football Event and Freeze-Frame Data
Authors: Yeung Calvin , Bunker Rory , Fujii Keisuke
Published: June 2024

Studying collective behavior in opposing multi-agent teams is crucial across game theory, robotics, and sports analytics. In sports, especially football, team tactics involve intricate strategic spatial and action behaviors displayed as event sequences during possession. Understanding and analyzing these tactics is essential for successful training, strategic planning, and on-field success. While traditional approaches, such as notational and statistical analyses, offer valuable insights into team tactics, they often lack a comprehensive consideration of contextual information, thereby limiting the holistic evaluation of teams’ performances. To bridge this gap and capture the nuanced intricacies of team tactics, we employed advanced methodologies. The sequential pattern mining algorithm PrefixSpan was utilized to extract tactical patterns from possession sequences, enabling a deeper understanding of how teams strategize and adapt during play. Additionally, the neural marked spatio temporal point process (NMSTPP) model was leveraged to model and predict team behaviors, facilitating a fair comparison among teams. The evaluation of team possessions was further enhanced through the innovative holistic possession utilization score metrics, providing a more nuanced assessment of performance. In our experimental exploration, we identified and classified five distinct team tactics, validated the efficacy of the NMSTPP model when integrating StatsBomb 360 data, and conducted a comprehensive analysis of English Premier League teams during the 2022/2023 season. The results were visualized using radar plots and scatter plots with mean shift clustering. Lastly, the potential applications to RoboCup were discussed.
Acquisition of Cooperative Control of Multiple Vehicles Through Reinforcement Learning Utilizing Vehicle-to-Vehicle Communication and Map Information
Authors: Suzuki Tenta , Matsuda Kenji , Kumagae Kaito , Tobisawa Mao , Hoshino Junya , Itoh Yuki , Harada Tomohiro , Matsuoka Jyouhei , Kagawa Toshinori , Hattori Kiyohiko
Published: June 2024

In recent years, extensive research has been conducted on the practical applications of autonomous driving. Much of this research relies on existing road infrastructure and aims to replace and automate human drivers. Concurrently, studies on zero-based control optimization focus on the effective use of road resources without assuming the presence of car lanes. These studies often overlook the physical constraints of vehicles in their control optimization based on reinforcement learning, leading to the learning of unrealistic control behaviors while simplifying the implementation of ranging sensors and vehicle-to-vehicle communication. Additionally, these studies do not use map information, which is widely employed in autonomous driving research. To address these issues, we constructed a simulation environment that incorporates physics simulations, realistically implements ranging sensors and vehicle-to-vehicle communication, and actively employs map information. Using this environment, we evaluated the effect of vehicle-to-vehicle communication and map information on vehicle control learning. Our experimental results show that vehicle-to-vehicle communication reduces collisions, while the use of map information improves the average vehicle speed and reduces the average lap time.
Enhancing Multi-Agent Cooperation Through Action-Probability-Based Communication
Authors: Bai Yidong , Sugawara Toshiharu
Published: June 2024

Although communication plays a pivotal role in achieving coordinated activities in multi-agent systems, conventional approaches often involve complicated high-dimensional messages generated by deep networks. These messages are typically indecipherable to humans, are relatively costly to transmit, and require intricate encoding and decoding networks. This can pose a design limitation for the agents such as autonomous (mobile) robots. This lack of interpretability can lead to systemic issues with security and reliability. In this study, inspired by common human communication about likely actions in collaborative endeavors, we propose a novel approach in which each agent’s action probabilities are transmitted to other agents as messages, drawing inspiration from the common human practice of sharing likely actions in collaborative endeavors. Our proposed framework is referred to as communication based on action probabilities (CAP), and focuses on generating straightforward, low-dimensional, interpretable messages to support multiple agents in coordinating their activities to achieve specified cooperative goals. CAP streamlines our comprehension of the agents’ learned coordinated and cooperative behaviors and eliminates the need to use additional network models to generate messages. CAP’s network architecture is simpler than that of state-of-the-art methods, and our experimental results show that it nonetheless performed comparably, converged faster, and exhibited a lower volume of communication with better interpretability.
Ground Adaptability of Crawler Mobile Robots with Sub-Crawler Rotary Joint Compliance
Authors: Watanabe Ayaka , Mitsuhashi Tomonori , Okugawa Masayuki , Ogane Katsuji , Kimura Tetsuya , Kinugasa Tetsuya , Ohtsubo Yoshikazu
Published: June 2024

Remote-controlled mobile robots are expected to be used in difficult- or impossible-to-access environments for inspection workers and responders, such as in investigations and search activities at accident/disaster sites and inspection/investigation work at plants/infrastructure. Among ground mobile robots, crawler mobile robots with sub-crawlers (also known as ground-adaptive crawler robots) excel at in-ground adaptability and stack escape; however, their operators require advanced remote-control technology and experience. Therefore, the introduction of semi-autonomous control to assist the operator is required. In this study, the principle of the pushing-up sequence and the possibility of mobiligence emerging from interaction with obstacles caused by the robot movement were described. In addition, the sub-crawler rotary joint’s compliance, which significantly contributes to ground adaptability, was hypothesized, and a compliance control system design method that uses the sub-crawler constraint angle as a design condition was proposed. It was confirmed that the model robot for the evaluation, which used the proposed method, could adapt to unknown obstacles without measuring their height and shape and traverse them based on experimental results. In addition, based on the numerical calculation results, it was determined that the optimum solution for the restriction angle of the sub-crawler was approximately 35°–50° from the perspective of propulsive force and tumble stability.
Complex Segment Linkage Along the Sevier Normal Fault, Southwestern Utah
Authors: Taylor Wanda J. , Surpless Benjamin , Schiefelbein Kerscher Ilsa M.
Published: June 2024

Major normal fault systems are composed of segments that link as displacement accumulates, with linkage zone characteristics that reveal fault zone evolution. The steeply west-dipping Sevier fault zone in southwestern Utah, displays a complex fault network that developed between two long (>10 km), en echelon segments near the town of Orderville. Geologic map data and cross-sections of the transfer zone between the Mt. Carmel segment in the south and the Spencer Bench segment in the north reveal more than ten normal faults and four relay ramps displaying a range of geometries, including two relay ramps that display ramp-parallel folds. We suggest that transfer zone deformation was initially dominated by faults subparallel to the primary segments with later cross-faults that hard-linked these faults across most of the transfer zone. When the transfer zone was a soft-linked system, a displacement deficit likely existed relative to fault segments to the north and south. This early fault configuration would have reduced the efficiency of slip propagation associated with major earthquakes (>M7.0). In contrast, the present-day transfer zone, with a complex but hard-linked fault network, shows displacements that transition smoothly from the higher displacement (~800 m) southern segment to the lower displacement (~400 m) northern segment. That transition, combined with extensional strain within the zone, suggests that the Orderville fault network would be unlikely to impede propagation associated with future major earthquakes. The kinematic model of fault evolution presented here has implications for those investigating geothermal energy potential, groundwater flow, natural gas and oil reservoirs, mineral deposit formation, or seismic hazards.
Coagulation and Platelet Profiles of COVID-19 Patients admitted to a COVID Referral Center from March 2020 to December 2022
Authors: Ungajan-Galapon Ivana , Damian Karen , Geraldino Nelson
Published: June 2024

Objective. This study aimed to determine the demographic profiles of admitted COVID-19 patients, the association of coagulation and platelet tests on COVID-19 severity and compare the coagulation and platelet profile across the spectrum of the disease in terms of severity among adult COVID-19 patients admitted to the Philippine General Hospital from March 2020 to December 2022.
Methodology. Medical records of a sample of adult COVID-19 patients admitted to the emergency room of the Philippine General Hospital from March 2020 to December 2022 were reviewed. The demographics, initial COVID-19 diagnosis and initial coagulation and platelet test results were gathered and tabulated. Comparison of the initial coagulation and initial platelet results were made per disease category.
Results. Three hundred eighty-five (385) patients were included; 194 were males, and 191 were females. The mean age of all patients was 56.18 years old. There was a total of 30 patients classified as mild and 105 patients are under moderate category. 141 patients were classified as severe, whereas 109 patients were classified as critical. Platelet count test and Activated Partial Thromboplastin Time (APTT) were mostly normal in all disease categories.  Prothrombin time was normal in a majority of patients from the mild and severe categories. INR and D-dimer were all elevated mostly in all disease categories.
Conclusion. Platelet counts and APTT were mostly normal in all disease categories. Prothrombin time and D-dimer had a significant association with disease severity. Platelet count, APTT and INR did not show significant association with disease severity. Prothrombin time, APTT, INR and D-dimer means had significant differences versus disease categories.
Machine Learning Techniques in Enhanced Oil Recovery Screening Using Semisupervised Label Propagation
Authors: Vaziri Pouya , Ahmadi Sanyar , Daneshfar Fatemeh , Sedaee Behnam , Alimohammadi Hamzeh , Rasaei Mohammad Reza
Published: June 2024

Efficiently choosing the optimal enhanced oil recovery (EOR) technique is a critical requirement in reservoir engineering. Machine learning (ML) methods, with a well-established history of application, serve as a swift and dependable tool for EOR screening. In this paper, we aim to evaluate the effectiveness of various ML algorithms for EOR screening, utilizing a comprehensive database of nearly 1,000 EOR projects. This study delves into a comprehensive evaluation of regression and classification-based algorithms to develop a reliable screening system for EOR predictions and address challenges such as limited labeled data and missing values. Our analysis considered various EOR processes, including gas injection, chemical, and thermal EOR techniques. Various ML methods such as random forest (RF), K-nearest neighbors (KNN), support vector machine (SVM), shallow artificial neural networks (SANN), naive Bayes classifier (NBC), logistic regression (LR), and decision tree (DT) are applied, enabling both intermethod comparisons and evaluations against advanced methods, multiobjective deep artificial neural networks (MDANN), and multiobjective artificial neural networks (MANN). These advanced techniques provide the unique capability to concurrently address both regression and classification tasks. Considering that conventional methods can only be implemented on a single task, the RF, MANN, MDANN, and KNN algorithms demonstrated top-tier performance in our classification analysis. Regarding the regression task, KNN, RF, and MDANN displayed exceptional performance, signifying their prowess in predictive accuracy. However, MANN exhibited moderate performance in regression analysis. In addition, our study identified areas where certain algorithms, such as support vector regression (SVR), exhibited weaker performance, highlighting the importance of comprehensive model evaluation. This paper contributes novel insights into the application of ML techniques for EOR screening in the petroleum industry. By addressing challenges such as limited labeled data and missing values and by providing a thorough evaluation of various ML algorithms, our study offers valuable information for decision-makers in the oil and gas sector, aiding in the selection of suitable algorithms for EOR projects. In addition, the use of semisupervised label propagation and advanced techniques like KNN imputation adds to the existing body of literature, enhancing the state of knowledge in this domain.
Symmetry energy in holographic QCD
Authors: Bartolini Lorenzo , Gudnason Sven Bjarke
Published: June 2024

We study the symmetry energy (SE), an important quantity in nuclear physics, in the Witten-Sakai-Sugimoto model and in a much simpler hard-wall model of holographic QCD. The SE is the energy contribution to the nucleus due to having an unequal number of neutrons and protons. Using a homogeneous Ansatz representing smeared instantons and quantizing their isospin, we extract the SE and the proton fraction assuming charge neutrality and beta-equilibrium, using quantization of the isospin zeromode. We also show the equivalence between our method adapted from solitons and the usual way of the isospin controlled by a chemical potential at the holographic boundary. We find that the SE can be well described in the WSS model if we allow for a larger ’t Hooft coupling and lower Kaluza-Klein scale than is normally used in phenomenological fits.
State diagrams to determine tree tensor network operators
Authors: Milbradt Richard M. , Huang Qunsheng , Mendl Christian B.
Published: June 2024

This work is concerned with tree tensor network operators (TTNOs) for representing quantum Hamiltonians. We first establish a mathematical framework connecting tree topologies with state diagrams. Based on these, we devise an algorithm for constructing a TTNO given a Hamiltonian. The algorithm exploits the tensor product structure of the Hamiltonian to add paths to a state diagram, while combining local operators if possible. We test the capabilities of our algorithm on random Hamiltonians for a given tree structure. Additionally, we construct explicit TTNOs for nearest neighbour interactions on a tree topology. Furthermore, we derive a bound on the bond dimension of tensor operators representing arbitrary interactions on trees. Finally, we consider an open quantum system in the form of a Heisenberg spin chain coupled to bosonic bath sites as a concrete example. We find that tree structures allow for lower bond dimensions of the Hamiltonian tensor network representation compared to a matrix product operator structure. This reduction is large enough to reduce the number of total tensor elements required as soon as the number of baths per spin reaches 3.
Impact of recurrent and non-recurrent government expenditure on Bosnia and Herzegovina’s economic growth: an empirical analysis (1996–2022)
Authors: Omerbegovic Arapovic Adisa , Kurtovic Amer
Published: June 2024

This study aims to investigate the differential impacts of recurrent and non-recurrent government expenditures on the gross domestic product (GDP) of Bosnia and Herzegovina from 1996 to 2022. Aggregating data from various government levels, it employs ordinary least squares (OLS) regression techniques to analyze the relationship between these types of expenditures and economic growth. The findings reveal a significant positive correlation between recurrent expenditure and GDP, indicating that spending on health, education, and security contributes to economic growth. Conversely, non-recurrent expenditure, encompassing capital and development investments, does not show a statistically significant impact on GDP in the short term. This suggests that while recurrent spending is crucial for immediate economic performance, non-recurrent investments require strategic planning and efficiency to realize their growth potential. The study underscores the importance of efficient expenditure allocation in transitioning economies like Bosnia and Herzegovina, highlighting the need for a balanced fiscal strategy that supports both immediate economic stability and long-term development.
Balanced scorecard approach to measuring the performance of a non-profit organization: Case study on a Waqf-based Pesantren in Indonesia
Authors: El Ashfahany Afief , Ramdhani Jihad Muhamad , Nadila Kurniawati Neneng , Hidayat Syamsul , Ali Mustofa Triono
Published: June 2024

This study explores how the Balanced Scorecard is useful to investigate its application in non-profit organizations, particularly in Waqf-based Pesantrens. The Balanced Scorecard considers four aspects: financial, customer, internal business, and growth and learning. The financial perspective relied on the institution’s annual report, while customer perspectives were collected via a questionnaire distributed among 100 individuals who regularly contribute to the charitable organization. Data used to evaluate learning performance, growth, and internal business came from Pesantren directors and managers through stakeholder interviews. The results demonstrate that, among these aspects, the customer perspective holds the most significance for non-profit organizations such as Waqf-based Pesantren institutions, receiving the highest score of 43. Next comes the financial aspect with a score of 21.86, while growth and learning and internal business share a score of 20 each. This emphasizes the crucial role of prioritizing the needs of customers in the strategic planning of non-profit organizations, specifically in Waqf-based Pesantren institutions. The results contribute insights for these organizations to enhance their strategic management practices by emphasizing the importance of the customer perspective in their decision-making processes.
Effect of Gender and Communicative Situation on Double Spatial Orientation in Virtual Speech
Authors: Belousov Konstantin , Taleski Aleksandar
Published: June 2024

A clear and unambiguous rendering of spatial relations is the key cognitive function of communication. Spatial relationships reflect the categories and experience shared by all people. The paper introduces
the first-of-its-kind attempt to describe the dual spatial orientation of the speaker in virtual reality as depending on two factors: the communicative situation and the gender. Dual spatial orientation combines egocentric, allocentric, or geocentric orientations and their varieties. The combination depends on various factors. The experiment in virtual environment involved 24 informants and five scenarios (scenes) with different communicative parameters. It yielded 725 responses with combinations of double orientations, which went through the IS Semograph. The combination of allocentric and geocentric orientation domineered; the extra-linguistic gender factor and some communicative parameters affected the frequency of combinations of dual spatial orientation. The core of the speaker’s dual spatial orientation in virtual reality combined allocentric and geocentric orientations to the topos of GE \ T + AL and AL + GE \ T.
TRANSFORMATION OF POLITICAL AND ADMINISTRATIVE COORDINATION STRATEGIES IN THE STRUCTURE OF PUBLIC RISK MANAGEMENT
Authors:   St. Petersburg State University, Aleinikov Andrei , Maltseva Daria ,   St. Petersburg State University,   RUDN University, Safonova Olga ,   St. Petersburg State University
Published: June 2024

The article problematizes a range of issues related to the transformation of coordination relations in the structure of public administration when making decisions under conditions of uncertainty. The main substantive objective of the study is to analyze the conceptual model of strategies and political-administrative coordination mechanisms of interaction in risk situations, the features of management influences that ensure enhanced functionality of prevention and distribution of threats, especially in the context of digitalization. The research methodology is based on classical and modern concepts of public management, risk and its perception, and theories of political coordination of various forms of algorithmic threat management. The article argues that coordination in the structure of public administration is a political form of coordination and correction of political interests, rules of interaction between producers and consumers of risks, their beneficiaries and those most exposed to risks. The article proves that political and administrative coordination in the field of risk management is aimed at minimizing the results of conflicts of interest, deformation of the perception of threats and dangers into riskophobia or riskophilia. The authors argue that government monopolization of the right to information about risks reduces the possibilities for joint coordination and the effectiveness of political strategies to address threats. The analysis made it possible to come to the conclusion that the discoordination of functions, tasks and risk management processes does not allow the preferences and perceptions of risk of social actors to be aggregated into the overall interest of preventing and forecasting threats, and forms points of blockade of the structural-organizational and institutional-regulatory mechanism for controlling hazards in the social system. The study identifies and describes dysfunctions in the field of public administration associated with discoordination of political risk management, highlights institutional, distributional, behavioral and paternalistic management failures in situations of uncertainty, threats and dangers, identifies and describes mechanisms of political-administrative coordination risk management.
DIGITAL COLONIZATION AS A THREAT TO NATIONAL SECURITY
Authors:   St. Petersburg State University, Kurochkin Alexander , Morozova Svetlana ,   St. Petersburg State University
Published: June 2024

Today, digital transformation is one of the national goals of all developed and developing countries of the world. At the same time, mass digitalization also reveals negative consequences, which include the digital divide, the transformation of labor markets, the technocratization of the social and political spheres, etc., which largely stimulate the process of colonization com- ing from leading IT corporations and countries claiming the status of digital empires. In this vein, new tasks arise for states to ensure national security, due to the need to form sustainable digital sovereignty. This article is aimed at identifying the specifics, main problems and consequences of digital colonialization. The authors pay special attention to the US colonial policy in the context of understanding the phenomenon of digital empires; conceptual understanding of “digital sovereignty”; the risks of the digital age. The key research questions of the work are the following: What challenges does ultra-fast digitalization entail? How is the digital colonial policy formed and implemented? What are the main problems of digital colonialism? How to form and maintain sustainable digital state sovereignty? The significance of the presented study lies in the combination of theoretical approaches and real political practice, which makes it possible to characterize the whole variety of processes and effects of digital colonialization. In conclusion, the authors discuss the possibilities of import substitution in this area, and also offer practical recommendations for the implementation of the import substitution policy in modern Russia, emphasizing the need for a balanced development of the regulatory, legal, technological, competence, political, economic and managerial components of national digital sovereignty.
CULTURAL DIVERSITY IN THE GLOBAL ETHNO-POLITICAL SPACE
Authors:   Belarusian State University, Danilov Alexandr
Published: June 2024

The modern world is faced with global instability, adaptation to which has become a motive for the transition to a new model of civilizational development. The key point of this model is the preservation of the entire cultural diversity of the world through a real mutually equal dialogue of cultures, taking into account the ethno-cultural diversity and national characteristics of peoples. The collapse of the USSR gave rise to a “fever of ethnocracy”, the desire of the new government to oust all representatives of foreign-speaking ethnic groups from the country at any cost, especially from the administration, education, ideology and spiritual life, the armed forces and law enforcement agencies, even regardless of their level of competence. The ongoing processes of systemic transformation were accompanied by a political, economic social and cultural crisis, which required national-state self-determination. It was necessary to quickly decide on filling the specific content of national sovereignty, decide on the Basic Law, deal with the “blank spots” of Belarusian history, decide what the essence of the Belarusian national idea, Belarusian identity is, how to live on, with whom to be friends, what model of development to follow. In the context of such dynamic changes and global challenges, finding an opportunity to protect traditional cultural values means protecting the national interests of your country. National identity is instilled and fixed in the cultural code of a citizen of a country that he wants to be proud of and accepts as his only homeland. People are led into the future by ideals associated with the dream of a fair society with ensuring stability and the hope of returning to national traditions. The Republic of Belarus is located in the border zone between two civilizational models of development, Western and Russian. Belarus received from each of them some features, which together formed a kind of cultural and historical unity, at the same time similar and unlike these civilizations. The rooting of the Belarusian statehood is characterized by the fact that the "European" component of the Belarusian identity is strengthened in comparison with its "Soviet" part. The formation of the national and civic consciousness of young people is quite contradictory and ambiguous. This is largely due to a certain deprivation of youth of "historical memory", the presence of "blank spots" in the history of the post-Soviet countries, and the inconsistency of the formation of a new statehood. The claims of any culture to the exclusive universal significance are counterproductive in this situation. Modern globalism is dangerous because it tries to instill in the consciousness the idea of the universal significance of only European culture.
Hua-Feng-Dan Alleviates LPS-induced Neuroinflammation by Inhibiting the TLR4/Myd88/NF-κB Pathway: Integrating Network Pharmacology and Experimental Validation
Authors: Zhang Zehan , Pei Yuying , Zheng Yuxiao , Liu Ying , Guo Yixuan , He Yanhui , Cheng Fafeng , Wang Xueqian
Published: June 2024

Background:

Neuroinflammation is the pathological basis of many neurological diseases, including
neurodegenerative diseases and stroke. Hua-Feng-Dan (HFD) is a well-established traditional Chinese
medicine that has been used for centuries to treat stroke and various other brain-related ailments.

Objective:

Our study aims to elucidate the molecular mechanism by which HFD mitigates neuroinflammation
by combining network pharmacology and in vitro experiments.

Methods:

TCMSP and SymMap databases were used to extract active compounds and their related targets.
The neuroinflammation-related targets were obtained from the GeneCards database. The common targets of
HFD and neuroinflammation were used to construct a protein-protein interaction (PPI) network. MCODE
plug-in was used to find the hub module genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and
Genomes (KEGG) analyses were used to dissect the hub module genes. The lipopolysaccharide (LPS)-induced
BV2 microglial neuroinflammation model was utilized to assess the therapeutic effects of HFD on neuroinflammation.
Western blotting analysis was performed to examine the core target proteins in the TLR4/My-
D88/NF-κB signaling pathway, potentially implicated in HFD's therapeutic effects on neuroinflammation.
Hoechst 33342 staining and JC-1 staining were employed to evaluate neuronal apoptosis.

Results:

Through network pharmacology, 73 active compounds were identified, with quercetin, beta-sitosterol,
luteolin, and (-)-Epigallocatechin-3-Gallate recognized as important compounds. Meanwhile, 115 common
targets of HFD and neuroinflammation were identified, and 61 targets were selected as the hub targets utilizing
the MCODE algorithm. The results of in vitro experiments demonstrated that HFD significantly inhibited
microglial-mediated neuronal inflammation induced by LPS. Integrating the predictions from network pharmacology
with the in vitro experiment results, it was determined that the mechanism of HFD in mitigating neuroinflammation
is closely related to the TLR4/MyD88/NF-κB pathway. Furthermore, HFD demonstrated the
capacity to shield neurons from apoptosis by curbing the secretion of pro-inflammatory factors subsequent to
microglial activation.

Conclusion:

The findings demonstrated that HFD had an inhibitory effect on LPS-induced neuroinflammation
in microglia and elucidated its underlying mechanism. These findings will offer a theoretical foundation for
the clinical utilization of HFD in treating neurodegenerative diseases associated with neuroinflammation.
LC-MS/MS of Dexamethasone in Rabbit Vitreous Liquid Delivered through Novel Self-nanoemulsifying Drug Delivery Systems
Authors: Komesli Yelda , Gozet Fatma Tuba , Sen Behiye Ozturk
Published: June 2024

Background:

Dexamethasone (DEX), delivered through newly developed selfnanoemulsifying
drug delivery systems, which is administered to rabbit eyes, has been presented.
The instrumental parameters of the multiple LC-MS/MS methods in the literature are modified
according to rabbit vitreous liquid and current laboratory conditions.

Methods:

Quick optimization of the chromatographic and mass spectrometric parameters was done
by inspecting the available literature for the analysis of DEX by LC-MS/MS from biological
matrices. Chromatographic separation was achieved in the reverse mode using C18 (50x2.1mm,
5μm) as a stationary phase and acetonitrile and water with ammonium acetate as a mobile phase in
gradient elution. Quantitation was done in multiple reaction monitoring (MRM) mode by following
the transition of m/z 393 > m/z 373 in positive ion mode. The method was also validated in terms of
selectivity, within-day accuracy and precision, linearity, and limit of detection (LOD). The extraction
of DEX from rabbit vitreous liquid samples was carried out by protein precipitation using
acetonitrile: water (70:30, v/v).

Results:

DEX and beclomethasone (IS) were successfully separated and detected under optimized
experimental settings. The method was selective for DEX and linear in the range of 0.5 and 250
ng/ml. The lower limit of quantification (LLOQ) was determined to be 0.238 ng/ml. The percent
relative standard deviation (RSD) and recovery (%) of the low, medium, and high calibration levels
were below 10% and within the range of 111%-114%, respectively. RSD (%) and recovery (%) of
the LLOQ were below 17% and 82%, respectively. The validated method was successfully applied
for the determination of pharmacokinetic properties of newly formulated dexamethasone selfnanoemulsifying
drug delivery systems (DEXSNEDDS) used to administer DEX intravitreally to the
rabbit.

Conclusion:

LC-MS/MS conditions for the analysis of LC-MS/MS were determined by examining
relevant literature for accomplishing simple and practical optimization of the experimental
parameters, followed by method validation and analysis of rabbit vitreous liqiud. As conclusion,
pharmacokinetic data of DEXSNEDDS has been obtained in the most accurate, sensitive,
economical and rational way possible.
Interaction between Enzymatic Detergent and Textile Metals/Metal Oxide Nanoparticles
Authors: Mirzajani Fateme , Mohseni Nora
Published: June 2024

Introduction:

Nanoparticles are used in industrial products, such as textiles, to induce
novel properties, such as antibacterial, antistatic, UV blocking, self-cleaning properties, wrinkle resistance,
and water and oil repellent. Moreover, using enzymes (protease, lipase, amylase, and cellulase)
is widespread in detergent industries for washing conditions.

Methods:

This research examines the interactions between metal (Ag) and metal oxide nanoparticles
(TiO2 and ZnO NPs) and amylase, cellulase, protease, and lipase as detergent enzymes and their
impacts on enzyme activity. Using a central composite design, a total of 320 experiments under different
conditions were conducted to determine the extent of change in enzyme activity. Results indicated
that lipase had the lowest activity under interaction with silver nanoparticles, while cellulase
and protease were most affected by interactions with Ag NPs and a-TiO2.

Results:

The surface response of the examined parameters showed the most effect from the interaction
time and temperature and the enzyme/nanoparticle ratio and temperature parameters. This research
result demonstrated that physical, chemical, and biological differences existed between nanoparticle
and enzyme interface.

Conclusion:

The findings can be used to improve the interaction between nanoparticles and detergent
enzymes in washing conditions, aiming to retain their traits.
Digital Audio Applications on Students’ Abilities in EFL: A Systematic Literature Review
Authors:   Universitas Pendidikan Ganesha, Silvia Sifa , Santosa Made Hery
Published: June 2024

This systematic review aims to analyze and summarize previous studies on the use of digital audio applications like Spotify or JOOX to improve the abilities of Indonesian EFL learners who face difficulties in learning English due to differences in structure, pronunciation, and vocabulary. This study utilized the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to obtain the results. A comprehensive search was conducted on Google Scholar and Open Knowledge Maps, reviewing a total of ten journal articles published between 2019 and 2023. The selection process followed a systematic approach, adhering to specific inclusion and exclusion criteria. The result found the use of digital audio applications shows a positive impact on students’ abilities. The findings assert that digital audio applications improve students’ abilities with features, English songs, and podcasts. The previous studies agree that digital audio application gives students easier ways to learn pronunciation and vocabulary with features, like lyrics, curated playlists, and English songs. The practical implication of this study is that teachers are advised to use digital audio applications to support students’ abilities with clear objective and careful considerations in using digital audio applications as teaching media.
The Teaching English on TikTok: Content Analysis Based on Cognitive Theory of Multimedia Learning
Authors:   Universitas Ma Chung, Wijaya Irene Puspita , Yulianto Wawan Eko , Ginting Daniel
Published: June 2024

TikTok has been used as a learning tool and effectively improved students’ knowledge and skills, particularly in language learning. However, the educational content on TikTok may not be compatible with the Cognitive Theory of Multimedia Learning (CTML) principles that could reduce cognitive loads in multimedia learning. This research investigated the use of CTML principles, as well as the use of its features on the videos from one of the popular English Teaching channels on TikTok, @englishvit in order to contribute to educational knowledge about teaching practices with social media technologies. The researchers analyzed 40 out of 175 videos from @englishvit using content analysis through decontextualization, recontextualization, categorization and compilation. This study found that @englishvit’s TikTok videos are compatible with at least three principles of CTML, and some TikTok features could increase the compatibility or violate the CTML principles. These results recommended that teachers in digital education should improve the quality of the learning experience for students by applying principles of CTML and utilizing technology.