bluuebunny/crossref_metadata_2025 huggingface dataset:
The Application of Mask Diplomacy: China’s Belt and Road Initiative as Health Diplomacy in Middle East and North Africa (MENA) Countries During COVID-19
Authors: Fahrisa Titing Reza , Susanto Siti Rokhmawati , Rossdiana Renatha , Pardamean Abraham
Published: July 2023

China’s Belt and Road Initiative (BRI) is a diversification of economic, diplomatic, and geopolitical activities, previously known as the “New Silk Road”, which was later changed to “One Belt and One Road”. BRI is one of the Chinese Government’s most ambitious foreign and economic policies. China uses this route to expand its influence and gain attention in destinations in commodities, energy, transportation, and others in the Middle East & North Africa (MENA) countries. This paper uses descriptive qualitative methods to explore various unique phenomena from the Health Silk Road against Vaccination in MENA countries. As a result, 17 countries have become members of the BRI and have cooperated with China, and at this time of the COVID-19 pandemic crisis, most MENA countries are using vaccine diplomacy from China to overcome their crisis. This situation is used for China to carry out “Mask Diplomacy” to expand its influence in MENA countries. This proves to be effective for China in improving and creating more significant opportunities to emerge as a “hero” in providing health services to developing countries while increasing its presence in the world.
Kata Kunci: COVID-19; Vaccine diplomacy; Belt Road Initiative; Mask Diplomacy; MENA
Pembelian Pesawat Tempur Dassault Refale sebagai Implementasi Strategic Hedging Indonesia di Indo-Pasifik
Authors: Basundoro Alfin Febrian
Published: July 2023

Pada tanggal 10 Februari 2022, Indonesia dan Prancis telah menyetujui kesepakatan pembelian pesawat tempur Dassault Rafale. Kesepakatan tersebut ditandatangani oleh Menteri Pertahanan RI Prabowo Subianto dan Menteri Pertahanan Prancis, Florence Parly. Pembelian Dassault Rafale merupakan suatu langkah signifikan guna memperkuat alutsista TNI Angkatan Udara (TNI AU) yang hingga kini memiliki efek penggentar yang minim. Apalagi, posisi geopolitik Indonesia di kawasan Indo-Pasifik cukup rawan, dengan memanasnya ketegangan di kawasan Indo-Pasifik seiring dengan ekspansi militer Republik Rakyat Tiongkok (RRT) di Laut Tiongkok Selatan. Di sisi lain, Amerika Serikat (AS) selalu berupaya membendung ekspansi tersebut dengan beragam upaya strategis. Analisis ini berfokus pada pembelian pesawat tempur tersebut yang merupakan tindakan rasional untuk memperkuat pertahanan udara Indonesia. Dengan pendekatan teoritis Strategic Hedging, analisis ini berargumen bahwa pembelian pesawat tempur dari Prancis ini merupakan implementasi strategis untuk menghadapi pusaran konflik di Indo-Pasifik. Dengan memperkuat kemitraan strategis dengan Prancis melalui pembelian Dassault Rafale, Indonesia dapat memperoleh keuntungan berupa transfer teknologi dan memiliki daya tawar yang lebih kuat sekaligus menghindari ancaman dan tekanan dari AS dan RRT di kawasan dan konflik geopolitik yang kemungkinan dapat terjadi.
Kata Kunci: Dassault Rafale; Indonesia; Prancis; TNI AU; Strategic Hedging
Kegagalan La Via Campesina dalam Menghadapi WTO Terkait Ancaman Krisis Pangan
Authors: Muhammad Syafik Atikah
Published: July 2023

Penelitian ini melihat fenomena La Via Campesina sebagai organisasi serikat petani global yang berusaha menggagalkan peraturan WTO terkait krisis ketahanan pangan dalam konferensi di Jenewa pada Juni 2022. Menggunakan konsep Adam Webb, La Via Campesina menekankan mobilisasi masyarakat sipil era kontemporer dengan cara menyelesaikan perbedaan tanpa kekerasan sebagai bentuk perlawanan. Lebih lanjut, La Via Campesina memenuhi enam landasan keberhasilan masyarakat sipil menurut Jan Scholte sehingga bisa terhubung dengan WTO. Keenam komponen tersebut ternyata belum membuat La Via Campesina berhasil dalam upaya unjuk rasa di Jenewa untuk mencapai tujuan melawan WTO demi menghindari krisis ketahanan pangan. Sedangkan dalam melihat tata-kelola global digunakan perspektif ‘tata-kelola global sebagai perangkat politik’ untuk menyatakan bahwa WTO merupakan tatakelola global yang menjadi wadah negara-negara tertentu untuk mencapai kepentingannya terkait perdagangan bebas. Kesimpulan penelitian ini mengungkapkan bahwa struktur masyarakat sipil La Via Campesina yang rapi belum bisa membawa kepentingan dalam institusi tata-kelola global kendati telah melakukan langkah-langkah yang sistematis. Hal ini juga menunjukkan bahwa institusi tata-kelola global WTO tidak demokratis bagi masyarakat sipil.
Kata Kunci: Masyarakat Sipil, Petani Global, Krisis Pangan, La Via Campesina, WTO.
Exploiting Similarities as Internationalization Strategy: A Case of MR.DIY Successful Expansion into the Indonesian Market
Authors: Zulkarnain Ainin Atirah
Published: July 2023

It has been widely known that multinational national enterprises (MNEs) have been part of important agencies playing a critical role in determining global governance. Increasing globalization which comes out in various forms has crucially facilitated the operation of MNEs globally as well as increased MNEs’ influence on global politics. However, similarities and differences that could come in the forms of culture, politics, geography, and economy, are still critical hindrances for MNEs competing internationally. Building and employing a spot-on internationalization strategy, therefore, becomes a crucial issue. Using MR. DIY’s successful expansion into the Indonesian market as a case, this article highlights how cultural adaptation could become a key success for an MNEs’ global expansion. Equally, it reveals how far culture is needed by MR. DIY’s when doing its international expansion into the Indonesian market. The case informed that some similarities in cultural elements can be instrumental requisites supporting the success of exploiting cultural similarities as an internationalization strategy. These cultural elements are potential sources for adjustment steps with local culture through the adaptation process.
Keywords: COVID-19; Diplomasi vaksin; Belt and Road Initiative (BRI); Mask Diplomacy; MENA
The Role of The United Nations in Promoting Conflict Resolution in The Escalation of Intrastate Mali Conflict Instability (2018- 2022)
Authors: Putri Alvela Salsabilah , Akim
Published: July 2023

The instability of the conflict in Mali has increased for four years since 2018. The increase in violence, military coups, political instability, humanitarian crises, and terrorism has forced the United Nations to increase its strength in pushing for the implementation of peace agreements in the Mali intrastate conflict. This research was conducted using qualitative methods with secondary data to see the role of the United Nations in encouraging the resolution of the intrastate conflict in Mali during the period of instability for the last four years. In the analysis, this study finds that through a mandate renewed every year, the United Nations adopts its role to encourage conflict resolution with the dynamics of conflicts from 2018 to 2022. Over the past four years, the role of the United Nations as an international organization to encourage the implementation of resolutions to the conflict in Mali focuses on several things, namely; (1) Overseeing Mali’s political transition, (2) Strengthening security for civilians and peacekeepers through international cooperation, (3) Acting as government assistance to promote human rights and law enforcement, and (4) Encouraging the progress of the 2015 peace agreement in Mali to achieve the maximum target.
Keywords: Conflict Resolution, Intrastate Conflict, International Organization, Mali, United Nations
Trend Analysis of Research Papers Related to Infant Welfare
Authors:   The Association of Korea Counseling Psychology Education Welfare, RIM Sang-Do , LEE So-Yoon
Published: July 2023

This study analyzed trends in 39 research papers related to infant welfare from before 1980 toDecember 2022. Data were divided into general research trends (research age, research topic)and research methods and research trends (research type, research subject, data collectionmethod, data analysis method, conclusion) and analyzed by frequency and percentage. As aresult of the study, infant welfare was the most researched in the 5th period (2010-2022), andas a research topic, infant welfare service was found to be studied relatively the most. Second,in the type of research, survey research and literature research were used, in the subject ofresearch, physical objects and infants, in the method of data collection, literature collection andquestionnaire method, and in the data analysis method, literature analysis and differenceverification were used. The conclusion of the study were focused on ways to enhance thepsychological well-being of members of early childhood education, the necessity of earlychildhood welfare, and presenting directions. The significance of this study is to suggest thedirection of future research while presenting basic data on the current status and trends ofresearch on infant welfare.
The Mediating Effect of Psychological Burnout Moderated by Counselor’s Development Level on the Relationship between Counselor’s Insecure Adult Attachment and Working Alliance
Authors:   The Association of Korea Counseling Psychology Education Welfare, KANG Eun-Seon , LEE Young-Ae
Published: July 2023

This study examined the moderated mediating effect of development level throughpsychological burnout in the effect of insecure adult attachment on working alliance. To thisend, a survey was conducted on 291 counselors, and the results are as follows. First,psychological burnout had a partial mediating effect in the relationship between attachmentanxiety and working alliance and a full mediating effect in the relationship between attachmentavoidance and working alliance. Second, development level had a moderating effect in therelationship between psychological burnout and working alliance. Third, when developmentlevel is low or average, the mediating effect of psychological burn-out controlled bydevelopment level was shown to be significant in the relationship between attachment anxiety,attachment avoidance and working alliance. This study tried to find counselor factorsinfluencing the working alliance by revealing the role of psychological burnout anddevelopment level in the relationship between Insecure adult attachment and Working alliance. Finally, the limitations and suggestions for future study were discussed.
Meta-analysis on the Effectiveness of Suicide Prevention Programs for Korean Elders
Authors:   The Association of Korea Counseling Psychology Education Welfare, PARK Ae-Shil , SONG Ju-Suk
Published: July 2023

This study conducted a meta-analysis to examine 26 studies evaluating the effectiveness ofsuicide prevention programs for the elderly in Korea. Meta-analysis results were specified intothe general group and risk group and explored effect sizes and moderating effects for theselected studies from 2008 to 2022. Results revealed significant effect sizes for the general group(g=0.63) and the risk group (g=0.91). When analyzing suicide risk factors and protective factorsas moderator variables, suicide protective factor showed a larger affect size in the risk group,but not in the general group. The results of this study provide comprehensive and systematicanalysis of the effectiveness of suicide prevention programs for the elderly in Korea, andfurthermore provide fundamental data for the development of future suicide preventionprograms for the elderly.
Correlation between numerical interpretation and analysis abilities with critical analysis ability on biology education students
Authors: Arsyad M.
Published: July 2023

Numerical literacy and critical thinking skills are important 21st-century competencies for prospective biology teacher students in South Kalimantan. Some of these competencies include interpreting and analysis numeracy as well as critical analysis abilities. This study aims to analyze the correlation between Numerical interpretation and analysis ability with critical analysis ability of students' education biology. This study is quantitative correlational research. The sample of this research was 245 biology education students in South Kalimantan from Lambung Mangkurat University, UIN Antasari Banjarmasin, and STKIP PGRI Banjarmasin. Test instruments Numerical interpretation and analysis abilities refer to AACU, and critical analysis ability test instrument developed refer to Facione with the types of multiple choice questions and each variable totaling 6 (six) questions. Test instrument has been validated by empirical validation using a correlation test. The type of data collected is quantitative data from the scoring results of the three variables that are measured and analyzed using the Pearson Product Moment correlation test and multiple correlation tests with SPSS 26. Results of the study show a significant correlation between ability numerical interpretation ability with critical analysis ability, and other relationships also exist in numerical analysis ability with critical analysis ability in Biology Education Students.Abstrak Literasi numerasi dan kemampuan berpikir kritis merupakan kompetensi abad 21 yang penting dimiliki oleh mahasiswa calon guru biologi di Kalimantan Selatan. Beberapa kompetensi tersebut diantaranya adalah kemampuan interpretasi dan analisis numerasi serta kemampuan analisis kritis. Penelitian ini bertujuan untuk menganalisis hubungan antara kemampuan interpretasi dan analisis numerasi dengan kemampuan analisis kritis mahasiswa pendidikan biologi di Kalimantan Selatan. Jenis penelitian ini adalah penelitian kuantitatif korelasional. Sampel penelitian ini yaitu mahasiswa Pendidikan Biologi di Kalimantan Selatan berjumlah 245 orang dari Universitas Lambung Mangkurat, UIN Antasari, dan STKIP PGRI Banjarmasin. Instrumen tes kemampuan interpretasi dan analisis numerasi merujuk pada AACU dan Instrumen tes kemampuan analisis kritis dikembangkan dengan merujuk pada Facione dengan jenis soal pilihan ganda dan masing-masing variabel berjumlah 6 (enam) soal. Instrumen tes divalidasi dengan validasi empiris menggunakan uji korelasi. Jenis data yang dikumpulkan merupakan data kuantitatif dari hasil penskoran ketiga variabel yang diukur dan dianalisis dengan menggunakan uji korelasi Pearson Product Moment dan uji korelasi berganda dengan SPSS 26. Hasil analisis  menunjukkan adanya hubungan yang signifikan secara simultan antara Kemampuan Interpretasi dan Analisis Numerasi dengan Kemampuan Analisis Kritis Mahasiswa Pendidikan biologi di Kalimantan Selatan.
Method of assessment of energy intensity of public communication radio equipment with software adjustable working frequency for determination of interruption protection indicators
Authors: Sholokhov Serhii , Samborsky Ivan , Nikolaienko Bohdan , Samborskyі Іеvgen
Published: July 2023

The ability of modern departmental communication systems to perform tasks in conditions of radio-electronic suppression by the enemy characterizes their immunity to interference. It is known that the interference protection of radio equipment in conditions of enemy radio reconnaissance and electronic suppression can be described by a set of probability indicators that characterize its secrecy (energy) and interference resistance. Secrecy (energy) is the ability of departmental communication systems to counteract the enemy's radio reconnaissance means, which are aimed at detecting the fact of the departmental communication system's operation, determining the parameters of its radio emissions, intercepting information for further deliberate radio-electronic and electromagnetic interference. One of the methods that significantly increases the secrecy of departmental communication systems is the use of signals with software-defined frequency conversion. These signals are a set of radio pulses (signal elements) whose frequencies change over time according to the law of pseudorandom sequence. The enemy searches for and detects the elements of these signals in a wide frequency band. This search is carried out under conditions of partial a priori uncertainty regarding their spectral-time structure using panoramic receivers. It should be noted that the basis of the radio reconnaissance means of the world's leading states is Fourier processors, which perform Fourier transforms from the implementation of a set of input signals. When designing and developing methods for interference protection, the problem of evaluating their energy stealth arises. Known research results and existing methodologies allow for a simplified assessment of the energy stealth of radio equipment with software frequency hopping under time constraints for decision making and do not take into account the peculiarities of the construction of modern panoramic analysis tools. In particular, the known methodologies do not take into account the peculiarities of the process of frequency-time searching for elements of such signals in a wide frequency range using panoramic receiving devices based on the complex application of different types of Fourier processors, the order of spectral-time processing of signal elements at the output of Fourier processors, requirements for their threshold sensitivity and dynamic signal range. Therefore, the article proposes a methodology for evaluating the stealthiness of communication systems with software-defined frequency tuning to determine the indicators of interference protection based on Fourier processors in the conditions of the opponent's use of modern radio-electronic intelligence tools.
Method of calculating of the information in social networks protection depending on the number of communities
Authors: Akhramovych Volodymyr
Published: July 2023

A mathematical model (linear system of differential equations) was developed and a research of the model of personal data protection against the number of communities and the intensity of data transfer in social networks was conducted. The linear system of information protection in social networks in the mathematical sense of this term is considered. When described by linear models, the object should be linear, at least approximately. This approach makes it quite simple to consider mathematical models. If such a thing is not noticed, it is necessary to examine the security system for linearity. Such dependecies has been studied: the dependence of the amount of information flow in the social network on the components of information protection, the amount of personal data, and the speed of the data flow; the security of the system on the size of the system (as well as on the amount of personal data); information security threats on the number of communities, and also calculated:  – coefficient representing the impact of information protection measures;  – coefficient representing the impact of data leakage rate;  – the coefficient representing the influence of the amount of data on its leakage;  – the coefficient representing the influence of the system size on system security;  – coefficient representing the impact of system security on data leakage;  – the number of connections in the social networks;  – number of vertices in the social networks;  – the parameter can be used to configure the network partitioning algorithm. The solution has been obtained - the harmonic oscillator equation, which breaks down into three cases: pre-resonance zone, resonance zone and post-resonance zone. So, the impact of the parameters of the number of communities on the parameters of the social network security system was investigated. Such a study is useful and important from the point of view of information protection in the network, since the parameters of the number of communities has significant influence, up to 100%, per protection indicator. As the result of research, it was established that social network security systems are non-linear.
Enhancing Chittagong Port: Fostering a Future-Ready Supply Chain
Authors: Hasan Ikram , Habib Md. Mamun
Published: July 2023

An essential lifeline to Bangladesh's robust economy, Chittagong Port in Bangladesh, was the subject of an insightful visit in May 2023. An expert team comprising three academicians (professors) and two industry experts from the Bangladesh Freight Forwarders Association (BAFFA) embarked on an explorative journey to understand the heart of the nation's supply chain and examine the intricate operations that make this port an economic powerhouse. Key functions like cargo handling, container operations, vessel loading and unloading, ship navigation, radar, and speed log were meticulously assessed for their complex contribution to both local and global trade dynamics. A comprehensive inspection of these operations showcased their importance in the seamless flow of goods, which establishes the port as the backbone of Bangladesh's trade ecosystem. It was previously identified the port as a critical logistical hub in the region.
MODELLING THE NEW BRAND EQUITY OF DESTINATION THEORY AND TRAVEL INTENTION: AN EMPIRICAL STUDY FROM VIETNAM
Authors: Bui Trong Tien Bao
Published: July 2023

Purpose – There is a lack of research on the causal relationship between a tourism destination’s new brand equity and travel intention. This study aims to identify and explore the model of tourism destination new brand equity, validate and evaluate the relationships between tourism destination new brand equity elements and travel intention in the context of tourism destinations. Design – This study collected primary data from March to May 2021 based on a questionnaire survey of 589 domestic tourists traveling to Dong Thap province. The newly proposed conceptual framework was evaluated and validated using the PLS-SEM method. Findings – The main new findings of this study were the identification of the nine constructs of destination brand equity and their association with travel likelihood. The study revealed the effect of the new constructs of destination brand equity constructs on travel willingness, which can promote domestic tourism in Dong Thap province. Originality of the research – The current study can be considered as an important contribution to the theoretical and managerial implications for local authorities to understand the new model of destination brand equity from the perspective of domestic tourists. The findings of this study may increase travel intention and promote tourism in Dong Thap province.
CNN-LSTM Hybrid Model to Promote Signal Processing of Ultrasonic Guided Lamb Waves for Damage Detection of Metallic Pipelines
Authors: Shang Li , Zhang Zi , Tang Fujian , Cao Qi , Pan Hong , Lin Zhibin
Published: July 2023

Ultrasonic-guided lamb wave approach is an effective non-destructive testing (NDT) method used for detecting localized mechanical damage, corrosion, and welding defects experienced in metallic pipelines. Signal processing of the guided waves is often challenged due to the complexity of operational conditions and environments in the pipelines. Machine learning approaches in recent years, including convolutional neural networks (CNN) and long short-term memory (LSTM), have exhibited their advantages to overcome these challenges for signal process and data classification of complex systems, thus great potential for damage detection of critical oil/gas pipeline structures. In this study, a CNN-LSTM hybrid model is utilized for decoding ultrasonic guided waves for damage detection of metallic pipelines, and twenty-nine features are extracted as input to classify different types of defects from metallic pipes. The prediction capacity of the CNN-LSTM model is assessed by comparing it to the CNN and LSTM. The results demonstrate that the CNN-LSTM hybrid model exhibits much higher accuracy, with 94.8%, as compared to those of CNN and LSTM. Interestingly, the results also reveal that predetermined features, including time-, frequency-, and time-frequency domains, could significantly improve the robustness of the deep learning approaches, even though the deep learning approaches are often believed they include automated feature extraction, without the hand-crafted steps as the shallow learning do. Furthermore, the CNN-LSTM model displays higher performance when the noise level is relatively low (e.g., SNR=9 or higher), as compared to the other two models, but its prediction drops gradually with the increase of the noise.
Hereditary Angioedema
Authors: Tutunaru Cristina Violeta , Ică Oana Maria , Mitroi George F. , Neagoe Carmen Daniela , Mitroi George G. , Ianosi Simona Laura
Published: July 2023

Hereditary angioedema (HAE) is a very rare and potentially life-threatening genetic disease characterized by low levels of C1-INH inhibitor esterase and involving recurrent attacks of non-pruritic angioedema that do not leave subcutaneous or mucosal wells without the presence of hives. It occurs worldwide in 1 in 50,000 to 150,000 individuals and accounts for approximately 2% of clinical angioedema. It affects both sexes equally and can affect all races without ethnic differences. Methods: We conducted a review in Pubmed regarding this disease using keywords such as: hereditary angioedema, guideline, treatment, prophylaxis, management. Results: We analysed 195 articles and we focused our study on 17 reviews about type I of HAE published in English in the last 10 years. Conclusions: Screening among the family members of affected individuals (even if symptoms are absent) is mandatory, since it is a life-threatening condition. Moreover, advances in diagnosis and management have significantly improved the outcomes and quality of life of patients with hereditary angioedema.
The Roles of AI Technologies in Reducing Hospital Readmission for Chronic Diseases: A Comprehensive Analysis
Authors: Farid Farnaz , Bello Abubakar , Ahamed Farhad , Hossain Fahima
Published: July 2023

The complex progression, specialized care, and comorbidities of chronic diseases place a financial and health burden on society. In some instances, the high hospital readmission rate is also a result of chronic diseases. The readmission rates can be decreased if the quality of life for patients is increased and healthcare costs are reduced through effective management and preventive measures. As a result, healthcare professionals, service providers, and policy-makers are looking for innovative approaches to reduce healthcare costs while enhancing the quality of care. There is an emerging trend in deploying technological advancements like artificial intelligence (AI), the Internet of Things (IoT), sensors, wearables, social media, mobile apps, and genomics to decrease hospital readmissions. In some instances, predictive analytics, early warning systems, personal-ized care management, remote monitoring and Telehealth, decision support systems, patient education and engagement, and other areas of artificial intelligence and machine learning have outperformed traditional approaches in lowering hospital readmissions. Although AI effectively reduces readmission, there are potential risks if it is not combined with efficient interventions. Therefore, real-time monitoring and intervention are required for AI systems to increase patient safety and decrease hospital readmissions. To achieve autonomy, prevent harm, achieve fairness, and achieve explicability, the ethical principles relating to AI systems should be taken into ac-count. This study examines the significant impact on health and the economy of hospital read-missions for chronic diseases and the role of AI in reducing readmissions.
Plasmonic Coupled Modes in a Metal-Dielectric Periodic Nanostructure
Authors: Coello Victor , Abdulkareem Mas-ud Ayodeji , García Ortíz César Eduardo , Sosa-Sánchez Citlalli Teresa , Téllez-Limón Ricardo , Peña-Gomar Marycarmen
Published: July 2023

We report on a 2D-gap surface plasmon metasurface based composed of a bottom metal layer, middle insulator layer, and top metal nanostructure of gold nanoblocks (nanoantennas). The proposed structure enables us to generate simultaneous multi plasmonic resonances and offers the possibility to tune them, within the near-infrared domain. The simplicity of the metasurface makes it promising for compact optical platforms based on reflection mode operation with potential application in multi-channel biosensors, second-harmonic generation, and multi-wavelength surface-enhanced spectroscopy among other interesting fields
Paving the Way for a Multiplanetary Future for Humanity: How the Relativistic Motor May Enable Eventually Interplanetary Travel
Authors: Yahalom Asher
Published: July 2023

Current spacecraft mass are mostly fuel, this is dictated by the lack of fueling stations in space and also by the Tsiolkovsky rocket equation which defines the mass ratio needed to escape earths gravity. The Tsiolkovsky rocket equation gives a relationship between the mass ratio and the final velocity in multiples of the exhaust speed, and dictates a high mass ration for current exhaust speeds. A relativistic motor exchanging momentum and energy with the electromagnetic field may mitigate such considerations, enabling efficient interplanetary travel. In this paper we will discuss the advantages and challenges of this novel mover for space transportation.
Density Wave Theory with Co-rotation May Have a Critical Problem
Authors: Pan Hongjun
Published: July 2023

The Density Wave Theory, which aims to explain the formation of spiral arms in disc galaxies, has been subject to discussion. According to this theory, at the co-rotation circle, the rotational velocity of the density waves or spiral arms matches that of the galactic matter. Consequently, this alignment should impede the formation of new stars within this co-rotation circle, leading to the presence of dark or dim gaps within the spiral arms. Additionally, the theory predicts the occurrence of the front side trail effect in the inner region of the co-rotation circle and the rear side trail effect in the outer region. However, despite these expectations, no such spiral patterns have been observed, prompting the need for revision or reconsideration of the Density Wave Theory.
Precise Filtration of Chronic Myeloid Leukemia Cells by an Ultrathin Microporous Membrane with Backflushing to Minimize Fouling
Authors: Lee Jaehyuk , Hong Jeongpyo , Lee Jungwon , Lee Changgyu , Kim Tony , Jeong Young , Kim Kwanghee , Jung Inhwa
Published: July 2023

A cell filtration platform that affords accurate size separation and minimizes fouling was developed. The platform features an ultra-thin porous membrane (UPM) filter, a pumping head for backflushing (PHB), and cell size measurement (CSM) software. The UPM chip is an ultrathin free-standing membrane with a large window area of 0.68 mm2, a pore diameter of 5 to 9 μm, and a thickness of less than 0.9 μm. The PHB prevents filter fouling. The CSM software analyzes the size distributions of the supernatants and subnatants of isolated cells and presents the data visually. The D99 particle size of cells of the chronic myeloid leukemia (CML) line K562 decreased from 22.2 to 17.5 μm after passage through a 5-μm filter. K562 cells could be separated by careful selection of the pore size; the recovery rate attained 91.3%. The method was compared to conventional blocking models by evaluating the mean square errors (MSEs) between the measured and calculated filtering volumes. The filtering rate was fitted by a linear regression model with a significance that exceeded 0.99 based on the R2 value. The platform can be used to separate various soft biomaterials and affords excellent stability during filtration.
Efektivitas Technode Hydrogel 0,02% Sebagai Penyembuhan Luka Post Operasi Ovariohisterectomi dan Orchhiectomi Pada Kucing Domestik (Felis silvestris Catus) Dibandingkan Iodine 10%
Authors: Ul Millah Nida , Eka Ermawati Dian
Published: July 2023

Antibiotics have been reduced to support Anti-Microbial Resistance (AMR) campaigns worldwide due to widespread bacterial resistance to commonly used antibiotics, the emergence of new superbugs or diseases, and the impact of antibiotic waste on the environment and soil. Iodine is generally used as an alternative because it has antibacterial and antifungal potential, suitable for preventing wound infections. However, iodine can cause a serous exudative effect and quickly become inactive when mixed with serous fluids. The study aims to find alternative therapeutic preparations to replace antibiotics when treating open wounds. Experimental research in which domestic cats were divided into two groups. Group A was given 10% iodine therapy twice a day, while Group B was given Technode Hydrogel 0,02% therapy twice a day for seven days. The wound score was calculated based on three points with the following criteria: discharge, swelling, erythema, and dehiscence. The scoring system was adopted as suggested by Sylvestre. The results showed that Technode Hydrogel 0,02% had an average wound score of 0,457 compared to 10% iodine which was 0,714. Hydrogel Technode is expected to be the best alternative for wound care, both in terms of efficacy and efficiency, to help the healing process of open wounds.
MODELING THE LEVEL OF DISSATISFACTION OF THE NEEDS OF RESIDENTS OF SMALL TOWNS IN THE DECISION SUPPORT SYSTEM FOR WATER SUPPLY IN EXTREME CASES
Authors: Melnykov Oleksandr , Zakabula Oleksij
Published: July 2023

The problem of ensuring water supply to small settlements in extreme cases is considered. It is stated that the authors previously formulated and solved the problem of creating a decision support system, which allows to calculate the optimal route of movement of a water tank with data on the number of residents in each district and the distances between districts. Using a number of parameters (average service time, tank volume, average percentage of the population going out for water, restrictions on the volume of water dispensed, etc.), the system allows you to make a schedule (schedule) of the movement of the tank, as well as give recommendations on increasing the number of these tanks and their optimal distribution by districts, to determine the places of their best location in each district for the maximum satisfaction of all its residents. Currently, a mathematical model has been developed for calculating a special coefficient that allows to assess the level of dissatisfaction of residents' needs in the provision of drinking water. The proposed coefficient contains three components, namely, the ratio of the volume of the recommended dispensing of the maximum possible number of liters per person to the calculated one; assignment of real "time on the road" to optimally calculated; the average relative distance from the calculated center of the district. The created model is added as an additional module to the existing decision-making support system, examples of the system's operation during route calculation and the position of tanks supplying the city of Toretsk, Donetsk region are given. The examples show that the reason for the biggest dissatisfaction is the insufficient number of cars, in second place is their not very good location; available time has almost no effect on the result. Increasing the number of machines to two reduces the first component of the coefficient to unity. The results indicate the possibility of reducing the indicator from 1.305 to 1.087.
ADAPTATION OF LAMBDAMART MODEL TO SEMI-SUPERVISED LEARNING
Authors: Yamkovyi Klym
Published: July 2023

The problem of information searching is very common in the age of the internet and Big Data. Usually, there are huge collections of documents and only multiple percent of them are relevant. In this setup brute-force methods are useless. Search engines help to solve this problem optimally. Most engines are based on learning to rank methods, i.e. first of all algorithm produce scores for documents based on they feature and after that sorts them according to the score in an appropriate order. There are a lot of algorithms in this area, but one of the most fastest and a robust algorithm for ranking is LambdaMART. This algorithm is based on boosting and developed only for supervised learning, where each document in the collection has a rank estimated by an expert. But usually, in this area, collections contain tons of documents and their annotation requires a lot of resources like time, money, experts, etc. In this case, semi-supervised learning is a powerful approach. Semi-supervised learning is an approach to machine learning that combines a small amount of labeled data with a large amount of unlabeled data during training. Unlabeled data, when used in combination with a small quantity of labeled data, can produce significant improvement in learning accuracy. This paper is dedicated to the adaptation of LambdaMART to semi-supervised learning. The author proposes to add different weights for labeled and unlabeled data during the training procedure to achieve higher robustness and accuracy. The proposed algorithm was implemented using Python programming language and LightGBM framework that already has supervised the implementation of LambdaMART. For testing purposes, multiple datasets were used. One synthetic 2D dataset for a visual explanation of results and two real-world datasets MSLR-WEB10K by Microsoft and Yahoo LTRC.
PARSIMONIOUS MACHINE LEARNING MODELS IN REQUIREMENTS ELICITATION TECHNIQUES SELECTION
Authors: Solovei Olga , Gobov Denys
Published: July 2023

The subject of research in the article is machine learning algorithms used for requirement elicitation technique selection. The goal of the work is to build effective parsimonious machine learning models to predict the using particular elicitation techniques in IT projects that allow using as few predictor variables as possible without a significant deterioration in the prediction quality. The following tasks are solved in the article: design an algorithm to build parsimonious machine learning candidate models for requirement elicitation technique selection based on gathered information on practitioners' experience, assess parsimonious machine learning model accuracy, and design an algorithm for the best candidate model selection. The following methods are used: algorithm theory, statistics theory, sampling techniques, data modeling theory, and science experiments. The following results were obtained: 1) parsimonious machine learning candidate models were built for the requirement elicitation technique selection. They included less number of features that helps in the future to avoid overfitting problems associated with the best-fit models; 2) according to the proposed algorithm for best candidate selection – a single parsimonious model with satisfied performance was chosen. Conclusion: An algorithm is proposed to build parsimonious candidate models for requirement elicitation technique selection that avoids the overfitting problem. The algorithm for the best candidate model selection identifies when a parsimonious model's performance is degraded and decides on the suitable model's selection. Both proposed algorithms were successfully tested with four datasets and can be proposed for their extensions to others.
USING LONG SHORT-TERM MEMORY NETWORKS FOR NATURAL LANGUAGE PROCESSING
Authors: Onyshchenko Kostiantyn , Daniiel Yana
Published: July 2023

The problem of emotion classification is a complex and non-trivial task of language interpretation due to the natural language structure and its dynamic nature. The significance of the study is in covering the important issue of automatic processing of client feedbacks, collecting opinions and trend-catching. In this work, a number of existing solutions for emotion classification problem were considered, having their shortcomings and advantages illustrated. The evaluation of performance of the considered models was conducted on emotion classification on four emotion classes, namely Happy, Sad, Angry and Others. The model for emotion classification in three-sentence conversations was proposed in this work. The model is based on smileys and word embeddings with domain specificity in state of art conversations on the Internet. The importance of taking into account the information extracted from smileys as an additional data source of emotional coloring is investigated. The model performance is evaluated and compared with language processing model BERT (Bidirectional Encoder Representations from Transformers). The proposed model achieved better performance at classifying emotions comparing to BERT (having F1 score as 78 versus 75). It should be noted, that further study should be performed to enhance the processing by the model of mixed reviews represented by emotion class Others. However, modern performance of models for language representation and understanding did not achieve the human performance. There is a variety of factors to consider when choosing the word embeddings and training methods to design the model architecture.
SPECIFICATION FORMALIZATION OF STATE CHARTS FOR COMPLEX SYSTEM MANAGEMENT
Authors: Nikitin Dmytro
Published: July 2023

This article presents a formalization approach for the requirements of object-oriented programs with state machines, using a spacecraft control system as a case study. It proposes a state pattern implementation, where each state is represented as a class with clearly defined responsibilities, and the transitions between states are controlled by the state objects themselves. Additionally, the application of model checking, theorem proving, and code generation techniques are discussed. The effectiveness of the proposed approach in ensuring compliance with the specified requirements is demonstrated, while also identifying potential drawbacks and limitations of the approach. The implementation is validated using a range of formal verification techniques, including model checking and theorem proving. The article also discusses how the approach can be extended and applied to other complex systems. Overall, the valuable insights into the formalization of requirements for object-oriented programs with state machines are provided, offering a practical and effective approach for verifying the correctness and completeness of such implementations. The results of this work have important implications for the development of safety-critical systems and can potentially improve the quality and reliability of software systems in various domains. By using mathematical models and rigorous formal methods, it is possible to detect and eliminate errors early in the development process, leading to higher confidence in the correctness of the final product. Future research in this area could explore the use of more advanced techniques, such as model-driven development and automatic code synthesis, to further streamline the software development process. Additionally, the development of more efficient and user-friendly tools could make these techniques more accessible to a wider range of developers and organizations. Altogether, the combination of formal methods and software engineering has the potential to revolutionize the way software systems are designed, developed, and verified, leading to safer and more reliable software for critical applications.
ANALYSIS OF INFORMATION TECHNOLOGIES FOR REMOTE IDENTIFICATION OF DYNAMIC OBJECTS
Authors: Nikulina Olena , Severyn Valerii , Kondratov Oleksii , Rekova Nataliia
Published: July 2023

The problem of identification of dynamic objects using remote identification information technologies is considered. It is noted that the identification of moving objects is important in various fields, including autonomous vehicles, medical diagnostics and robotics. The purpose of the article is to analyze various information technologies for detecting objects that can be used in future research on remote identification. Analysis of methods for determining speed as a dynamic parameter, analysis of two-step and one-step methods of remote identification of objects, analysis of early identification methods, as well as analysis of methods for improving remote identification of objects was carried out. Several means of determining the motion of objects are considered, in particular, the proportional-integral-differential controller, the leveling block method, phase correlation, pixel recursion algorithms, and the optical flow methods of Lucas – Kanady, Horn – Shunk, Farnbeck, dense optical flow. These tools can be used to effectively determine the movement of objects and identify their speed regardless of the size and position of the objects. Two-step and one-step object detection methods are considered: region method with convolutional neural networks, its improvements, spatial pyramid pooling networks, "You only look once" method, one-step multi-frame method, retinal networks, corner network, central network and detection transformer, which use different approaches to improve the performance and accuracy of object detection. The necessity of using methods of convolutional neural networks and spatial pyramid pooling networks for effective identification of objects regardless of their size and position is emphasized. New approaches are proposed that allow creating fixed-length representations for image processing and regions of interest, as well as Viola – Jones methods, oriented gradient histograms, and deformed part models. Research in the field of object detection contributes to the development of information technologies and the improvement of the efficiency of dynamic object identification systems. Through the review and analysis of various methods, recommendations for researchers and practitioners working in the field of remote identification of dynamic objects are provided.
Pengaruh Modal Manusia terhadap Transisi Tenaga Kerja Formal Menjadi Informal pada Masa Pandemi Covid-19
Authors:   Departemen Ilmu Ekonomi, Fakultas Ekonomi dan Bisnis Universitas Brawijaya, Tasmilah Tasmilah , Pratomo Devanto Shasta ,   Departemen Ilmu Ekonomi, Fakultas Ekonomi dan Bisnis Universitas Brawijaya, Syafitri Wildan ,   Departemen Ilmu Ekonomi, Fakultas Ekonomi dan Bisnis Universitas Brawijaya
Published: July 2023

Penelitian ini bermaksud mengkaji pengaruh modal manusia terhadap peluang transisi tenaga kerja formal menjadi informal pada masa pandemi Covid-19. Modal manusia dalam penelitian ini meliputi pendidikan, pelatihan, pengalaman, keterampilan, serta penggunaan teknologi digital dan internet. Dengan menggunakan data Sakernas Agustus 2019 dan 2020, penelitian ini menggunakan regresi logistik untuk mengestimasi pengaruh modal manusia terhadap transisi tenaga kerja formal. Hasil yang diperoleh adalah modal manusia berpengaruh signifikan terhadap transisi tenaga kerja formal pada masa pandemi. Tingkat pendidikan, pelatihan, serta penggunaan teknologi digital dan internet akan mencegah tenaga kerja formal mengalami transisi menjadi informal. Sedangkan, pengalaman dan pelatihan berpengaruh positif terhadap transisi tenaga kerja formal menjadi informal.
Rasch model analysis of physics test of HOTS on the topic of elasticity and hooke’s law
Authors: Hasanah Daimul , Purwanto Joko
Published: July 2023

This study aims to measure the quality of the physics learning outcomes test instrument based on high order thinking skills (HOTS) on Elasticity and Hooke's Law and to classify students based on their ability to work on test items. This study uses a quantitative approach. The research was conducted at Sedayu 1st Senior High School with 60 students at eleventh grade in science program as test subjects in the first semester of the 2022/2023 academic year. The data collection technique is done by testing technique. The instrument used is in the form of multiple-choice test questions with 5 alternative answers. The number of test items is 30 test items. The results showed that: first, 27 test items fit the criteria for acceptance of good test items, which can then be used to measure student learning outcomes for physics subjects in Elasticity and Hooke's Law. Three test items are not by the acceptance criteria for good test items, so they need to be revised or replaced with other test items: the competency achievement indicators and the question indicators that are the same as the three test items. Second, the abilities of students who took the test were grouped into 3 groups, namely high, moderate, and low abilities. Students who have high category abilities in terms of working on HOTS-based physics test items are 18.33%. Students with moderate abilities in working on HOTS-based physics tests on Elasticity and Hooke’s Law, namely as much as 65.00%, while students with low abilities are as many as 16.67%.