bluuebunny/crossref_metadata_2025 huggingface dataset:
Kombinasi Metode Evaluation Based on Distance from Average Solution (EDAS) dan Rank Order Centroid (ROC) Dalam Pemilihan Konten Layak Tonton Untuk Anak Usia Dini
Authors: Rahman Ben , Nugroho Isfauzi Hadi , Ismail Rima Ruktiari , Sigitta Hariyono Rito Cipta , Saraswati Nurul Mega
Published: March 2024

YouTube accommodates videos on almost any topic, including entertainment, guides, music, personal vlogs, news, short films, documentaries, and other variations. This allows users to access content according to their interests and needs without significant restrictions. However, the issue of unsuitable content for children on YouTube has become an increasingly prevalent topic of discussion. The main issues related to unsuitable content for children on YouTube involve videos containing inappropriate material, violence, abusive language, and false or misleading information. While efforts have been made by YouTube to address this issue, it remains a concern given the large number of videos uploaded every day. In selecting YouTube content for early childhood, there are several criteria, including safety feasibility, interesting animation, interactivity, educational value, and positive value. Thus, this research emphasizes the importance of the existence of a decision support system in helping with the selection of YouTube content suitable for children. Decision Support Systems (DSS) use data analysis methods and various algorithms to process available information and data. The author applies a combination of EDAS (Evaluation Based on Distance From Average Solution) and ROC (Rank Order Centroid) methods to select the most appropriate and safe YouTube content for young children. This approach is used to rank each assessed piece of content. This resulted in the YouTube content "Lagu Anak Indonesia Balita" getting the top rank on alternative A8 with a maximum value of 1.00000, making it highly recommended for early childhood.
Perbandingan Jarak Metrik pada Klasifikasi Jamur Beracun Menggunakan Algoritma K-Nearest Neighbor (K-NN)
Authors: Suarisman Andre , Nazir Alwis , Syafria Fadhilah , Afriyanti Liza
Published: March 2024

Mushrooms are organisms from the kingdom fungi that have a fleshy body structure and can be consumed, but there are some species of mushrooms that are not safe to eat and have specific characteristics, so distinguishing between edible and poisonous mushrooms can be tricky due to the almost identical appearance of various mushroom species. Errors in identifying edible mushrooms can impact the health of consumers who consume the mushrooms. Evaluating the performance of various methods on a dataset is a key step in determining the most suitable classification method. This research is about how to measure the performance of classification methods on toxic mushroom datasets using the K-Nearest Neighbor algorithm with several metrics such as euclidean, manhattan and minkowski, which is a method for classifying new data based on proximity to existing training data. The results obtained in this study with several distance metrics can be concluded that the accuracy value of the manhattan metric is better than the euclidean and minkowski metrics. Because the manhattan metric gets the highest accuracy result of 99% with K = 100 and the lowest 82% with K = 3000, while the euclidean metric gets accuracy results with a value of 98% with K = 100 and 72% with K = 3000, and the minkowski metric gets accuracy results with a value of 96% at K = 100 and 64% at K = 3000.
Perbandingan Metode ARAS dan EDAS dalam Menghasilkan Rekomendasi Layanan Akomodasi Hotel
Authors: Singgalen Yerik Afrianto
Published: March 2024

This study compares the decision support model Additive Ratio Assessment (ARAS) and Evaluation based on Distance from Average Solution (EDAS) in selecting hotels in Semarang City. Meanwhile, the criterion-setting method adopts the Ranking of Centroid (ROC) to set criteria, determine the priority of criteria, and determine the weight of the criteria values. Comparison of the two algorithms needs to be done to compare the results and test the performance of the two algorithms, when developed into a decision support application to generate hotel service recommendations. Meanwhile, the stages in this research are as follows: data collection stage, using TripAdvisor; data processing stage, using ARAS and EDAS models; and data analysis stage. The results of this study show that the ranking results based on the EDAS method show that A1 occupies the first position with an NSP value of 1,000 and an NSN of 0,983. Furthermore, A3 occupies the second position with an NSP value of 0.707 and an NSN of 0.983. Meanwhile, A2 occupies the third position with an NSP value of 0.311 and an NSN of 0.983. Furthermore, the ARAS method ranking results show that A1 occupies the first position with a Si value of 0.171 and a Ki value of 0.994. Furthermore, A3 occupies the second position with a Si value of 0.169 and a Ki value of 0.984. Meanwhile, A2 occupies the third position with a Si value of 0.167 and a Ki value of 0.970. Based on the comparison of EDAS and ARAS methods, it can be seen that both produce the same alternative ranking where Padma Hotel Semarang ranks first, Aruss Hotel Semarang ranks second, and Tentrem Hotel Semarang ranks third. Thus, it can be seen that EDAS and ARAS methods can produce the best hotel recommendations for travelers by considering ratings and reviews on the TripAdvisor platform.
Penerapan Metode EDAS dan ROC Dalam Rekomendasi Objek Wisata Pantai Terbaik
Authors: Sari Anggi Farika , Sapira Septia Nike bela , Aulia Dewi Elsa Adhista , Pinem Agusta Praba Ristadi
Published: March 2024

Indonesia's natural diversity, cultural heritage and history have given rise to attractive tourism destinations, including Central Java Province. Central Java offers a diversity of beaches, attracting millions of tourists every year. However, many tourists have difficulty choosing a beach tourist destination that suits their wishes. Decision Support Systems (DSS) are a solution with various methods, one of which is the Evaluation Method based on Distance from Average Solution (EDAS) which is currently used together with Rank Order Centroid (ROC) weighting. This method has been proven to be effective in complex decision situations. In this context, using 13 Alternative Beaches was taken by taking into account the highest number of visitors in each Regency/City in Central Java Province and applying criteria such as cleanliness, facilities, popularity, rating and ticket prices used for evaluation. This research aims to examine the relationship and integration of the ROC and EDAS weighting methods in recommendations for the best beach tourist attractions in Central Java. It is hoped that this study will be able to provide a better interpretation and obtain a ranking ranking of alternative beach tourist attractions in Central Java, thereby contributing to tourists making more accurate decisions according to the criteria in the context of selecting beach tourist locations. The results of the research show that Jatimalang Beach is the best alternative with the highest score of 1,000. Thus, Jatimalang Beach is declared as the best choice for the best tourist attraction.
EVALUASI USABILITAS SISTEM MENGGUNAKAN METODE SYSTEM USABILITY SCALE (SUS) PADA APLIKASI AKHLAQU DENGAN PENERAPAN TEKNIK INDEXING MONG
Authors: Fadilah Mochammad Fauzan , Rahaningsih Nining , Dana Raditya Danar
Published: March 2024

The Akhlaqu Application is a web-based Islamic learning platform used by Al-Falah Integrated Islamic Elementary School to facilitate the recording and reporting of students’ activities in developing their memorization. This research aims to assess the level of user satisfaction with the Akhlaqu Application using the System Usability Scale (SUS). The results showed a high level of usability, measured by a System Usability Scale (SUS) score of 89.7, indicating a “very good” quality application that meets high usability standards. In addition, the implementation of text indexes on MongoDB has a positive impact on the speed of transaction data search, especially on complex data searches, improving the efficiency and responsiveness of the application. The implications of this research involve recommendations to continue to improve the usability and performance of the Akhlaqu Application, by maintaining the use of MongoDB index techniques as a reliable solution for optimizing the database. The study concludes that the Akhlaqu Application is an effective tool for managing students’ memorization and recommends further improvements to enhance its usability and performance.
SISTEM PAKAR DIAGNOSIS PENYAKIT MELALUI GENERAL CHECK UP BERBASIS MOBILE APPLICATION ANDROID
Authors: Salam Zuhair Mahdi , Trisnawati Herlina , Tarigan Sakius Octavianus , Shirlyani Shirlyani
Published: March 2024

Expert System is a system created by imitating the performance or thought patterns of humans, which is input into an application system with the aim of helping to facilitate human work as done by experts. Android-based Expert System can help users analyze what diseases are present in the body. Expert System for Disease Diagnosis Through General Check Up Based on Android Mobile Application at Bojong Medika Clinic is a mobile-based application system that can be used as a platform for users to record, store medical records, automatically process data from general check-ups, and remind them to do further general check-ups in an effort to make everyone using this application more concerned about their health and avoid various diseases. This application is created using Kodular and supported by Air Table as its database, with additional tools using Firebase. The system development method used is the Waterfall Model, starting from the analysis stage, then followed by design, implementation, and finally testing of the application system.
Correlations between serum levels of histamine, diamine oxidase, substance P in patients with chronic urticaria
Authors: Mikryukova NV , Kalinina NM
Published: March 2024

The onset and progression of various disorders, including chronic urticaria, are associated with stress. The gut-brain-skin axis is used to describe correlations among the nervous system, gastrointestinal tract states and systemic and skin inflammation. We have summarized inflammatory and immune mechanisms underlying chronic urticaria and stress in the context of the gut-brain-skin axis. The study was aimed to show the relationships between substance P, the neurotransmitter, and diamine oxidase, the enzyme disrupting histamine in the gut of patients suffering from chronic urticaria. A total of 165 adults aged 18–68 were enrolled; 97 patients had chronic urticaria, the comparison group was formed of 68 nominally healthy individuals. ELISA (Cloud-Clone Corp; China) was used to simultaneously estimate serum levels of substance P, diamine oxidase, and histamine. We revealed a significant positive correlation (ρ = 0.5; p < 0.05) between substance P and diamine oxidase in patients with chronic urticaria and in the comparison group, which confirmed the existence of the gut-brain-skin axis. The paper provides theoretical background and new targets for treatment of chronic urticaria. The possibility of prevention and treatment of these disorders by modulation of gut microbiota is discussed, the place of diet and the lifestyle modification contributing to improvement of general health are determined.
Efficacy of Botanical Oils on Adult Mortality, Egg Laying, Hatchability and Adult Emergence of Callosobruchus. Maculatus (F.) (Coleoptera: Chrysomelidae: Bruchidae)
Authors:   Department of Plant Protection, Faculty of Agriculture, University of Paktia, Afghanistan, Ahmady Abdullah , Mukhles Mohammad Raees ,   Department of Plant Protection, Faculty of Agriculture, University of Paktia, Afghanistan, Naseri Abdullah ,   Department of Plant Protection, Faculty of Agriculture, University of Paktia, Afghanistan, Ahmadi Abdul Jamil ,   Department of Plant Protection, Faculty of Agriculture, University of Paktia, Afghanistan, Andar Fahim ,   Department of Plant Protection, Faculty of Agriculture, University of Paktia, Afghanistan
Published: March 2024

The cowpea weevil Callosobruchus maculatus Fabricius, is the major insect pest that threatens effective legume storage. The laboratory experiment was conducted to assess the efficacy of four different botanical oils (Clove, Eucalyptus, Jojoba and Lemon) against the cowpea weevil, C. maculatus by using residual film technique. All the botanical oils were applied at two different concentration levels (0/50 and 0.75%). The results showed that all used oils significantly increased the mortality and reduced the mean number of eggs laying, hatchability and emergence percentages compared to the untreated control. The treatment of cowpea seeds with oils reduced slightly the germination but swelling percentage was higher in treated seeds than control. The results also indicated variation in the activity of botanical oils regarding the stage of the insect, the plant origin of the oils and concentration level. The present study suggested that botanical oils (Clove, Eucalyptus, Jojoba and Lemon) may be preferred option than conventional pesticides far the protecting stored pulse grains against stored products insect pests’ infestation, especially C. maculatus.
Efficacy of Some Plant Extracts Against Stored-Product Pest Red Flour Beetle, Tribolium Confusum (Jacquelin Du Val) (Coleoptera: Tenebrionidae) Adults
Authors:   Department of plant protection, Faculty of Agriculture, Paktia University, Afghanistan, Ahmady Abdullah , Jawid Moahid Ahmad ,   Department of plant protection, Faculty of Agriculture, Paktia University, Afghanistan, Mukhles Mohammad Raees ,   Department of plant protection, Faculty of Agriculture, Paktia University, Afghanistan, Andar Fahim ,   Department of plant protection, Faculty of Agriculture, Paktia University, Afghanistan, Ahmadi Abdul Jamil ,   Department of plant protection, Faculty of Agriculture, Paktia University, Afghanistan
Published: March 2024

The efficacy of five plant extracts, Lantana camara, Ruta chalepensis, Rhazya stricta, Heliotropium bacciferum and Marrubium vulgare against Tribolium confusum ware investigated by admixing plant extract with wheat grains. Mortality (%) increased with increasing concentrations, exposure periods and varying from plant to plant. L.camara and R. chalepensis induced the highest percent of mortalities (95.4 and 93.8%) at 500 ppm after 6 days of exposure respectively, for T. confusum, followed by Rh. Stricta, M. vulgare and H. baccifirum. (91.4, 84.5 and 83,3%) respectively. The lowest LC50s were for L. camara and R. chalepensis (114.61 and 117.78 ppm), after 6 days from exposure respectively, followed by Rh. Stricta, M. vulgare and H. bacciferum (175.48, 251.99 and 309.67 ppm respectively. The rate of repellency increased with increase of dose level. L. camara had the lead in repellent action where repellent percentage was 100 % at 500 ppm followed by R. chalepensiswith, 91%. The repellency rates of other plant extracts were between 50.22 -66.54 at the same concentration which had a moderate repellent action. Statistical analysis showed that all plant extracts revealed significant deference except between H. bacciferum and M. vulgare. Among all the plant extracts L.camara and R. chalepensi were generally more toxic than other plant extracts against T. confusum.
Investigation of an Antifouling Compound from Sponge Siphonodictyon coralliphagum
Authors:   Faculty of Fisheries and Marine Science Sam Ratulangi University Manado Indonesia Jl. Kampus Bahu Unsrat 95115 Manado Indonesia, Bara Robert , Losung Fitje ,   Faculty of Fisheries and Marine Science Sam Ratulangi University Manado Indonesia Jl. Kampus Bahu Unsrat 95115 Manado Indonesia, Sondak Calvyn F. ,   Faculty of Fisheries and Marine Science Sam Ratulangi University Manado Indonesia Jl. Kampus Bahu Unsrat 95115 Manado Indonesia, Posangi Jimmy ,   Faculty of Medicine Sam Ratulangi University Manado Indonesia Jl. Kampus Bahu Unsrat 95115 Manado Indonesia, Maradou Remus ,   Faculty of Fisheries and Marine Science Sam Ratulangi University Manado Indonesia Jl. Kampus Bahu Unsrat 95115 Manado Indonesia, Kehraus Stefan ,   Institute of Pharmaceutical Biology Bonn University Bonn Nußallee 653115 Bonn, Germany
Published: March 2024

Marine fouling is attaching organisms to objects floating or submerged in seashores, such as ships, docks, and offshore structures. The impact caused is the reduced lifespan of the thing attached to the biofouling. In addition, there was a spread of invasive species. The government and industries in the United States spend over 6.5 million dollars annually on their budget to overcome this problem. So far, the prevention of marine biofouling is using antifouling paint on ships and submerged structures. One of them is organotin tributyltin (TBT) proven effective for preventing fouling; however, it is not environmentally friendly. Sponge Siphonodictyon coralliphagum growing in Salibabu Island waters, Talaud Islands, with previously shown activities against prokaryotes, was collected and extracted by maceration using ethanol as a solvent. The extract was then added to the base paint with several compositions of 5%, 10%, and 25% applied to the paving block surface. Positive control uses paint with copper additives. The objects are then immersed in the seashore below subtidal depths. The observation was carried out every seven days until day 28. The paving block was observed on day 90 after immersion. Significant results were obtained where macrofouling was only able to grow in negative control and positive control. The extract sponge S. coralliphagum has vigorous antifouling activity against marine biofouling. Furthermore, the extract was fractionated using liquid chromatography and continued by testing their activity against Gram-positive and negative bacteria. Further investigation of NMR spectra from the active fraction to prokaryotic cells shows a cyclic aliphatic compound with several keto-enol functional and methyl aliphatic groups on their chain.
Unlocking the Impact of Renal Function on Acute Coronary Syndrome: Insights from A Cohort Of 318 Cases
Authors:   Cardiology, Military Teaching Hospital of Rabat, Rabat, Morocco, El Ghiati Hanaa , Ouaouicha Hind ,   Cardiology Department of Avicenne Hospital, Rabat, Morocco, Chraibi Hamza ,   Cardiology Department of Avicenne Hospital, Rabat, Morocco, Fehri Zineb Fassi ,   Cardiology Center, V Military Instruction Hospital of Rabat, Mohammed V University, Rabat, Morocco, Mouine Najat ,   Cardiology, Mohammed V Military Hospital, Rabat , Morocco, Lakhal Zouhair ,   Military hospital of instruction mohammed V, Department of Cardiology, Mohammed V University, Rabat, Rabat, Morocco, Benyass Aatif ,   Cardiology Center, Mohammed V Military Instruction Hospital of Rabat, Mohammed V University, Rabat, Morocco
Published: March 2024

Introduction: Chronic kidney disease (CKD) represents a distinct risk factor by itself for the development of coronary artery disease (CAD). Notably, CAD stands as the primary driver of both sickness and death among individuals diagnosed with CKD. Furthermore, individuals with CKD tend to experience worse outcomes when it comes to CAD. In addition to conventional risk factors, numerous factors associated with uremia, including inflammation, oxidative stress, endothelial dysfunction, coronary artery calcification, elevated homocysteine levels, and the use of immunosuppressants, have been linked to an increased risk of accelerated atherosclerosis. Objective and method: In this study, we aim to assess the differential effect of renal impairment across the spectrum of patients with acute coronary syndrom. We conducted this study in the intensive care unit of cardiology in the Military Teaching Hospital of Rabat. Results: A total of 318 patients were included in the study. The average age was 63.8 +/- 9.41 years and 77% (244/318) were male. Normal kidney function was reported in 72.8% (220/318) of patients. Of the 318 included patients, 121(38.3%) were presented with STEMI, 154 (48.7%) with NSTEMI, and 41 (13%) with unstable angina. The difference of age was significant with a p-value of <.001 with a mean of age of 61.8 in patients with normal renal function vs 68.1 in impaired renal function patients. Patients with impaired GFR had more history of previous PCI (21) compared to those with normal GFR (23) with a p value of 0.001. Hb was lower (12.5vs 13.9 p<0.01) and Grace score was higher (45 vs44 p<.001) in patients with impaired GFR vs patients with normal GFR. Percentage of cardiogenic shock and death was respectively higher in renal impairment (12(60%) vs 8 (40%) with p of 0.004); (10(62.5%) vs 6(37.5%) with p 0.005. Conclusion: The magnitude of renal impairment is significant in our study in the most deadly complication: cardiogenic shock and death; which confirms that outcomes of coronary artery disease especially in acute coronary syndrome are significantly poorer in patient with kidney disease.
Deriva em túnel de vento em função das condições ambientais durante a pulverização agrícola
Authors:   , Dias Gustavo Luís Sant’Ana
Published: March 2024

A deriva é um dos efeitos colaterais da aplicação de agrotóxicos. Ela está diretamente condicionada à velocidade do vento, porém condições meteorológicas desfavoráveis para pulverização também acentuam esse tipo de fenômeno. Neste estudo, objetivou-se avaliar a interferência das condições ambientais na pulverização hidráulica, utilizando uma ferramenta capaz de registrar espectros de gotas pulverizadas, ou seja, um analisador de partículas a laser. O método que utiliza esse equipamento seguiu os protocolos para coleta dos dados, levando-se em conta a distância alcançada pelas gotas pulverizadas até o alvo e a combinação de diferentes déficits de pressão de vapor e velocidades. Para realização dos ensaios, um túnel de vento foi montado, constituído por: ponta hidráulica (XR-VP 100-02), pulverizador pressurizado com cilindro de CO 2, sistema de aquecimento a gás, sistema de ventilação dotado de ventilador axial de oito hélices e sensores de temperatura e umidade relativa. As condições ambientais durante os ensaios foram: déficits de pressão de vapor (DPV) de 0,5; 0,7; 1,0; 1,5; 2,5 kPa e velocidades do ar de 3,0; 7,0; e 10,0 km h–1. As análises dos dados obtidos foram realizadas empregando-se uma regressão múltipla, e os resultados foram relacionados usando-se uma metodologia de superfície de resposta. Constatou-se que a velocidade do vento associada ao DPV provocou alta deriva das gotas pulverizadas, no entanto a velocidade do vento foi o principal fator de influência na deriva. Comparando o comportamento da ponta hidráulica em diferentes déficits de pressão de vapor, distâncias e velocidades de vento de 3,0 a 10,0 km h –1, na menor velocidade do ar, constatou-se que a variável Dv 50 sofreu um acréscimo de 76,14 µm em seu valor médio; que para a variável 100 µm > V% o diâmetro médio dessa classe de gotas aumentou em 9,12 µm; que a variável 100 µm < V% < 200 µm teve um aumento de 20,99 µm em sua média; e que os valores coletados de SPAN não ultrapassaram 1,5, garantindo, assim, boa homogeneidade durante a pulverização.
THE LABOUR SHARE IN HOUSEHOLDS’ INCOME INEQUALITY IN ROMANIA
Authors:   University of Oradea, Doctoral School in Economic Sciences, Romania, VEZENTAN Bianca , NEAGU Olimpia ,   „Vasile Goldiș” Western University of Oradea, Romania
Published: March 2024

The aim the paper is to analyse the relationship between the labour share in the households’ income and inequality expressed by Gini coefficient in Romania during 1997-2020. Based on data from National Institute of Statistics of Romania, we provide evidence that high shares of labour income in total households’ income are associated with high values of estimated Gini coefficient and labour and wages share could explain households’ income inequality. We also highlighted the link of income inequality and income labour share to economic growth. Economic growth is associated with reducing levels of income inequality only in short periods of time. Policy makers should give attention to the evolution of labour share in the total income of households. Appropriate public policy measures regarding the improvement of labour market outcomes are required in order to prevent the rise of wage inequality.
FACTORS INFLUENCING THE ACCOUNTING INFORMATION REPORTING OF NON-PROFIT ORGANIZATIONS – A THEORETICAL APPROACH
Authors:   University of Oradea, Faculty of Economic Sciences, Oradea, Romania, CIONCA Daniela , RUS Luminiţa ,   University of Oradea, Faculty of Economic Sciences, Oradea, Romania, BOGDAN Victoria ,   University of Oradea, Faculty of Economic Sciences, Oradea, Romania
Published: March 2024

In the activity of any economic entity, the efficiency of the use of resources, especially new investments, has a primary place in making decisions to achieve the proposed objectives. The same approach can be found in non-profit entities. The mission of non-profit organizations is not to make any profit but to help others, to protect human and moral values, or to protect the environment. The funds necessary for carrying out the activity do not represent income from the carrying out of the object of activity but primarily represent the participation of civil society and natural or legal persons interested in partnerships with non-profit organizations by offering them donations or sponsorships. The annual reporting of these organizations reveals more and more aspects regarding the efficiency and effectiveness of resources and the way of fulfilling their missions. This research has as its primary objective the identification of users of accounting information provided by non-profit organizations and the factors that can influence how they report their activity. The research directions aimed to find answers regarding the users of accounting information, the mandatory and voluntary information presented in the annual reporting, the availability of disclosure of information to stakeholders, and the increase of trust and sustainability of NGOs. In this regard, the specialized literature and the legislation in the field regarding mandatory reporting information was studied, as well as the transparency of the voluntary ones in response to the management’s responsibility towards the stakeholders in the organization’s mission. The conclusions formulated concern the stakeholders, the influencing factors, and the types of information on which they could present presentation claims in the annual reporting.
RUSSIAN INVASION IN UKRAINE: CHALLENGES AND IMPLICATIONS FOR FOOD SECURITY
Authors:   Department of Economics, Faculty of Economics and Business Administration, Babeș-Bolyai University, Cluj-Napoca, Romania, ANDREICA Ioana-Sorina , KANTO Larisa Nicoleta ,   epartment of Economics, Faculty of Economics and Business Administration, Babeș-Bolyai University, Cluj-Napoca, Romania, GORGAN Andreea ,   Faculty of Economics and Business Administration, Babeș-Bolyai University, Cluj-Napoca, Romania
Published: March 2024

In a global framework disrupted by instability and conflict, both from a social and economic perspective, the primary human needs of the populations are the ones that the policy makers and researchers should keep at the top of their agenda. Therefore, the problem of food security worldwide imposes itself as a very stringent aspect to take into account when evaluating the implications of the current global turbulences. The primary objective of the present article is to review, based on the information available at the regional and global level, the impact of the Russian invasion in Ukraine on food security, and to provide some helpful insights to world leaders whose responsibility is to elaborate adequate policies that minimize the negative consequences of this military conflict, especially considering food shortages. After an in-depth analysis, we identified the fact that the war negatively impacted the agricultural sector, adding on the pressures generated by the Covid-19 pandemic, inflation, and climate change. Although at the regional level, as in the case of the EU, there have not yet been any situations of food insecurity, globally, in the case of countries with a high degree of dependence on food aid and food commodity imports, food insecurity started to manifest since May 2022 putting under risk a considerable part of the population. The results also revealed that, at the global level, the four dimensions of food security – availability, access, utilization and stability – have been affected both in the short and in the long term. Both globally and at the EU level, there have been changes regarding cereal prices, quantity produced, export, and import levels. The EU – Ukraine solidarity corridors were among the methods implemented to reduce the impact of the war on the agricultural sector, and mainly to avoid a possible world crisis and the deepening of food insecurity challenge.
THE IMPACT THAT CRYPTOCURRENCIES HAVE ON THE PROFITABILITY OF SMALL BUSINESSES
Authors:   Doctoral School of Economics and International Business, The Bucharest University of Economic Studies (ASE București), Bucharest, Romania, KHARIS Ibrahim M. I. , GIURGIU Adriana ,   Doctoral School of Economics and International Business, The Bucharest University of Economic Studies (ASE București), Bucharest, Romania,   Department of International Business, Faculty of Economic Sciences, University of Oradea, Oradea, Romania
Published: March 2024

In the global financial environment, cryptocurrencies have become a disruptive force that offers possibilities as well as problems for firms in numerous industries. The incorporation of cryptocurrencies into small businesses’ operations has gained more attention in recent years as a way to boost their profitability. This study paper intends to provide a thorough examination of the effects of cryptocurrencies on the profitability of small businesses, illuminating the numerous aspects and ramifications of cryptocurrency adoption, but also emphasizing its consequences for the financial performance of small firms, with the aim to fill the knowledge vacuum, as well as to provide insights into the potential and constraints connected with cryptocurrencies in the small company environment by examining revenue generation, cost management, financial transactions, and market growth. For a number of reasons, it is essential to comprehend how cryptocurrencies affect the profitability of small businesses, and in order to accomplish the goals of this study, a thorough analysis of the body of literature will be done, looking at empirical research, case studies, and theoretical frameworks pertaining to the effect of cryptocurrencies on small company profitability. This research study seeks to provide a comprehensive grasp of the topic by combining the existing information. In order to learn more about small company owners’ experiences, difficulties, and possibilities related to bitcoin adoption, as the main cryptocurrency so far, primary data were gathered via surveys or interviews among them. The study adds to the body of information already available and provide useful advice, as well as shared practical experience for academics, policymakers, and small company owners who are interested in learning about the effects of bitcoin integration on small business profitability.
About the differences in health systems and their financing
Authors: Веригина А.В. , Цибульникова В.Ю.
Published: March 2024

Статья посвящена сравнительному анализу мировых моделей здравоохранения. Классифицированы системы здравоохранения, в которых отмечены преимущества, а также слабые стороны, на примере моделей стран США, Японии, Великобритании и Германии. Анализ проведен с точки зрения финансирования здравоохранения и оказания медицинской помощи гражданам. Представлено сравнение расходов на здравоохранение в указанных странах и в Российской Федерации.

The article is devoted to a comparative analysis of global health models. Healthcare systems are classified, in which advantages as well as weaknesses are noted, using the example of models from the USA, Japan, Great Britain and Germany. The analysis was carried out from the point of view of financing health care and providing medical care to citizens. A comparison of healthcare costs in these countries and in the Russian Federation is presented.
The Development Trend of Intelligent Digital Technology Application in China’s Automobile Industry
Authors: Лу Ян.
Published: March 2024

Цель статьи – изучить тенденции применения интеллектуальных цифровых технологий в китайской автомобильной промышленности. Делается акцент на потенциальной ценности интеллектуальных цифровых технологий в китайской автомобильной промышленности посредством углубленного анализа соответствующих данных и динамики рынка. Используя комбинацию количественных и качественных методов исследования, исследуются основные тенденции применения интеллектуальных цифровых технологий в китайской автомобильной промышленности. Результаты исследования показывают, что применение интеллектуальных цифровых технологий в китайской автомобильной промышленности включает такие области, как интеллектуальное вождение, интеллектуальное производство и интеллектуальная логистика, которые обладают большим потенциалом для повышения эффективности отрасли, снижения затрат и улучшения пользовательского опыта. Выводы этого исследования указывают на то, что применение интеллектуальных цифровых технологий будет ускоряться, открывая значительные возможности для инноваций и развития отрасли. Результаты исследования имеют важное значение для профессионалов, компаний и лиц, принимающих решения в автомобильной промышленности Китая.

This article aims to explore the development trends of intelligent digital technology application in the Chinese automotive industry. Considering the current industry context, this study provides an overview of the importance and potential value of intelligent digital technology in the Chinese automotive industry through in-depth analysis of relevant data and market dynamics. Using a combination of quantitative and qualitative research methods, this article explores the main trends in the application of intelligent digital technology in the Chinese automotive industry through data collection and analysis. The research results show that the application of intelligent digital technology in the Chinese automotive industry includes areas such as intelligent driving, intelligent manufacturing, and intelligent logistics, which have great potential in improving industry efficiency, reducing costs, and enhancing user experience. The conclusions of this study indicate that the application of intelligent digital technology in the Chinese automotive industry will continue to accelerate, bringing significant opportunities for industry innovation and development. The research findings presented in this article have important implications for professionals, companies, and decision-makers in the automotive industry.
The main factors affecting the efficiency of capital investments of Ligastroy LLC
Authors: Чунихина А.С. , Соловьева Н.Е.
Published: March 2024

Настоящее исследование обусловлено необходимостью изучения факторов, влияющих на эффективность капитальных вложений в строительных компаниях. На примере строительной компании ООО «Лигастрой» представлен анализ финансовой деятельности. Определено, что показатели финансовой устойчивости ниже нормативных значений. Выявлены и обоснованы факторы, влияющие на инвестиционную деятельность строительной компании. Ключевые слова: факторы; инвестиционная деятельность; инвестиции; краткосрочные обязательства компании; капитальные вложения.

The present study is conditioned by the need to study the factors influencing the efficiency of capital investments in construction companies. The analysis of financial activity is presented on the example of the construction company LLC “Ligastroy”. Based on the financial analysis of the construction company LLC “Ligastroy”, it was determined that the indicators of financial stability are below the standard values, the factors influencing the investment activity of the construction company were identified and justified. In conclusion, conclusions were drawn.
Evaluasi Penyuluhan Pemanfaatan Rumput Laut Cokelat sebagai Pupuk Organik Padat untuk Tanaman Kangkung Darat (Ipomoea reptans poir)
Authors: Carolina Diana Mual  , Okti Widayati  , Wahyuni
Published: March 2024

Latar belakang: Rumput laut coklat (Sargassum sp) sampai saat ini belum dimanfaatkan secara optimal. Kelimpahan rumput laut jenis tersebut banyak terdapat di pantai dan karena pengetahuan yang kurang mengenai pemanfaatan rumput laut cokelat, sehingga menjadi limbah pantai. Salah satu upaya untuk mengatasi masalah diatas yaitu dengan mensosialisasikan pemanfaatan rumput laut coklat dengan tambahan bahan limbah ikan tongkol dan sisa nasi menjadi pupuk organik padat guna mengurangi penggunaan pupuk anorganik secara berlebihan pada tanaman kangkung darat (Ipomoea reptans poir).

Metode: Pelaksanaan penyuluhan diikuti oleh 18 responden. Penyuluhan dilakukan dengan menggunakan metode ceramah, diskusi dan demonstrasi cara. Metode ini bertujuan untuk merangsang responden penyuluhan agar bisa aktif bertanya selama kegiatan berlangsung, dengan menggunakan alat bantu media yaitu folder dan peta singkap. Hasil evaluasi penyuluhan dianalisis menggunakan aplikasi MS Excel dan SPSS versi 16.0.

Hasil: Pengukuran peningkatan pengetahuan dengan membandingkan nilai tes awal dan tes akhir, evaluasi penyuluhan menunjukkan bahwa terjadi peningkatan pengetahuan masyarakat sebesar 4.89. Berdasarkan uji t berpasangan (paired t test) penyuluhan memberikan pengaruh yang signifikan terhadap peningkatan pengetahuan masyarakat, maka dari itu efektivitas penyuluhan pada aspek pengetahuan sebesar 64,7%.

Kesimpulan: Penyuluhan pengolahan rumput laut cokelat untuk dijadikan pupuk organik padat di Kampung Sau Abas Distrik Manokwari Timur Kabupaten Manokwari Provinsi Papua Barat memiliki efektivitas penyuluhan pada kategori cukup efektif dengan ditunjukkan adanya peningkatan pengetahuan berdasarkan hasil pre-test dan post-test.
Analysis of Machine Learning Classifiers for Speaker Identification: A Study on SVM, Random Forest, KNN, and Decision Tree
Authors: Airlangga Gregorius
Published: March 2024

This study investigates the performance of machine learning classifiers in the domain of speaker identification, a pivotal component of modern digital security systems. With the burgeoning integration of voice-activated interfaces in technology, the demand for accurate and reliable speaker identification is paramount. This research provides a comprehensive comparison of four widely used classifiers: Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbors (KNN), and Decision Tree (DT). Utilizing the LibriSpeech dataset, known for its diversity of speakers and recording conditions, we extracted Mel-frequency cepstral coefficients (MFCCs) to serve as features for training and evaluating the classifiers. Each model's performance was assessed based on precision, recall, F1-score, and accuracy. The results revealed that RF outperformed all other classifiers, achieving near-perfect metrics, indicative of its robustness and generalizability for speaker identification tasks. KNN also demonstrated high performance, suggesting its suitability for applications where rapid execution and interpretability are critical. Conversely, SVM and DT, while yielding moderate and lower performances respectively, highlighted the necessity for further optimization. These findings underscore the effectiveness of ensemble and distance-based classifiers in handling complex patterns for speaker differentiation. The study not only guides the selection of appropriate classifiers for speaker identification but also sets the stage for future research, which could explore hybrid models and the impact of dataset variability on performance. The insights from this analysis contribute significantly to the field, providing a benchmark for developing advanced speaker identification systems
Пути повышения инвестиционной привлекательности регионов за счет снижения инвестиционных рисков в сельском хозяйстве
Authors: Очилов Ш. Б. , Бобоев A. Ч. , Акрамова О. К.
Published: March 2024

С быстрым ростом населения мира все больше внимания уделяется проблемам выращивания продуктов питания. Выращивание продуктов питания достигается только за счет развития сельского хозяйства и привлечения инвестиций в эту отрасль. В настоящее время многих беспокоит наличие инвестиционных рисков при инвестировании в сельское хозяйство. Учитывая это, в статье была проанализирована урожайность сельскохозяйственной продукции (хлопка и пшеницы) на примере Бухарской области. Проанализирован метод прогнозирования урожайности сельскохозяйственных культур на орошаемых землях Бухарской области и результаты его применения. Приведены результаты расчетов по планированию урожая сельскохозяйственной продукции при посеве.
The problem of technogenic soil pollution in the city of Yekaterinburg with heavy metals
Authors:   Russian State Vocational Pedagogical University, Yekaterinburg, Russia, Kharina G.V.
Published: March 2024

: the work is devoted to the problem of soil pollution in Yekaterinburg with heavy metals. The mechanisms of fixation of heavy metals in soils are given; the negative effects of accumulation of heavy metals in soils are noted. The purpose of the work was to assess the degree of technogenic accumulation of heavy metals in the soils of the city of Yekaterinburg. The experimental part lists the sites of soil sampling in Yekaterinburg; describes the method of preparing samples for analysis; it is noted that the gross content of heavy metals (copper, lead, cadmium, zinc and nickel) was determined by inversion voltammetry. It was found that soils with sampling sites located near industrial enterprises are more polluted. The values of the geoaccumulation index of these heavy metals in soils are calculated. A strong level of soil contamination with lead and cadmium and an average level of contamination with nickel and zinc were revealed. A number of technogeneities of heavy metals in the soils of Yekaterinburg have been established. The maximum technogenicity is set for cadmium and lead.
Digital technologies in the marketing of agricultural enterprises
Authors:   Russian State Agrarian University – Moscow Timiryazev Agricultural Academy,  Russia, Sergeyeva N.V.
Published: March 2024

Many agricultural and processing enterprises face the problem of timely sale of perishable products. Enterprises need to create a multifactorial digital technology with a number of consistent tools that contribute to creating a highly rated organization in a communication environment, monitoring retail sales and stimulating product sales. Digital tools for marketing analysis and control of marketing operations are proposed through the introduction of a Low-cod platform and a CRM system. A special program will help to organize interaction with customers, control wholesale deliveries and retail sales, easily track delivery dates, keep records of the work of sales managers and stimulate its effectiveness. The domestic amoCRM platform has been proposed, which will automate and systematize many marketing operations: from searching for potential customers to concluding transactions and controlling payment receipts. The article presents the advantages of this digital tool over others. The research was conducted on the example of the farm of JSC Zelenogradskoye, which processes milk into readymade food products, packaging, wholesale and retail sale of dairy products. The introduction of the amoCRM digital service will increase sales by 11% and return on sales by 7 percentage points.
Digital transformation strategy in the university supply chain
Authors:   Saint Petersburg State University of economics, Russia, Gagarina A.A.
Published: March 2024

The article describes the digital tools used in the university education system when considering the parameters of digital transformation and the model of end-to-end processes of university departments. Based on the analysis of the parameters of digital processes, the digital tools and ideas of the university's digital strategy are summarized. The approach to the processes of interaction within the university of the departments of the customer and the contractor is described. A number of proposals are made regarding the processing and type of applications for the implementation of digital transformation into the accepted digital system of the university.
Making decisions: an analysis of styles and time pressure among selected graduate students in the Philippines
Authors: Ulanday Ma. Leah , Verdejo Michael , Cayanan Edgardo , Santos Jordan , Obispo Rosemarie
Published: March 2024

The feeling of time pressure is a remarkable and significant phenomenon that people deal with throughout their lives. Empirical studies show that when people assume there are insufficient hours in the day and that they must work longer and harder than ever before, they experience feelings of time pressure, which in work contexts has led to job dissatisfaction, disconnection, poor performance, and absences because time constraints influence people's capabilities and the consequent effect on their decision-making processes. This study looks into how time pressure affects decision-making. This element has been identified as a critical decision- making determinant. Using a descriptive-correlational design, it identifies the impact of time pressure on the performance and decision-making styles among selected graduate students enrolled from different Universities in the Philippines. The study's findings determined respondents are frequently feel pressured with the work deadline and Unstable Workload has the lowest pressure points factor. Moreover, the results determined time pressure as a significant contributor to the decision- making of graduate students and indicates a favorable and significant relationship between time pressure and graduate students' decision-making styles. Furthermore, the study's findings provide useful insights into the difficulties that Graduate students experienced in managing their time in decision-making as professionals and students at the same time, and factors influencing student achievement and decision-making have been identified and analyzed.
Meningioma: current updates on genetics, classification, and mouse modeling
Authors: Szulzewsky Frank , Thirimanne H. Nayanga , Holland Eric C.
Published: March 2024

Meningiomas, the most common primary brain tumors in adults, are often benign and curable by surgical resection. However, a subset is of higher grade, shows aggressive growth behavior as well as brain invasion, and often recurs even after several rounds of surgery. Increasing evidence suggests that tumor classification and grading primarily based on histopathology do not always accurately predict tumor aggressiveness and recurrence behavior. The underlying biology of aggressive treatment-resistant meningiomas and the impact of specific genetic aberrations present in these high-grade tumors is still only insufficiently understood. Therefore, an in-depth research into the biology of this tumor type is warranted. More recent studies based on large-scale molecular data such as whole exome/genome sequencing, DNA methylation sequencing, and RNA sequencing have provided new insights into the biology of meningiomas and have revealed new risk factors and prognostic subtypes. The most common genetic aberration in meningiomas is functional loss of NF2 and occurs in both low- and high-grade meningiomas, whereas NF2-wildtype meningiomas are enriched for recurrent mutations in TRAF7, KLF4, AKT1, PI3KCA, and SMO and are more frequently benign. Most meningioma mouse models are based on patient-derived xenografts and only recently have new genetically engineered mouse models of meningioma been developed that will aid in the systematic evaluation of specific mutations found in meningioma and their impact on tumor behavior. In this article, we review recent advances in the understanding of meningioma biology and classification and highlight the most common genetic mutations, as well as discuss new genetically engineered mouse models of meningioma.