bluuebunny/crossref_metadata_2025 huggingface dataset:
The influence of current results in a event­oriented data collection system
Authors:   National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, Kuzminykh V. O.
Published: September 2024

The article discusses synchronous and asynchronous procedures in the implementation of the microservices management algorithm in an adaptive system for processing large data flows when collecting information on the main event-oriented approach in the implementation of the architecture of a software system that processes information in real-time. This approach is important when processing large volumes of data from heterogeneous information sources, especially when the task is to minimize the total processing time of large data streams and reduce the total number of calls to data sources. The proposed approach makes it possible, based on its adaptability, to manage the selection of the composition and the number of calls of microservices to the sources, by the events that occur during the collection of information. Thus, it is possible to determine the choice of sources based on the assessment of the effectiveness of obtaining relevant information from them. This is especially important when processing large data flows from heterogeneous information sources when the task is to minimize the total time of collection and processing of large data flows. In turn, this poses the task of minimizing the number of requests to information sources to obtain a sufficient number of data units that are relevant to the search query. The creation of effective big data processing systems requires constant development of approaches to the architecture of building software applications. The event-oriented microservice architecture of the system makes it possible to adapt the operation of the system to the loads on individual microservices and the efficiency of their work by forming and responding to relevant events based on the analysis of relevant events that occur during the collection and initial processing of the received data. Depending on the specific task, it is possible to use both a synchronous and an asynchronous microservice management algorithm. The article provides an analysis of the effectiveness of obtaining relevant data depending on the degree of consideration in the evaluation of results and the formation of events, both the depth of the previous history of the results of requests and the size of their quantitative impact. The use of event-oriented microservice architecture can be especially effective when developing various information and analytical systems that need, according to user requests, to access various sources of information, analyze their data for relevance according to the request, and process large data streams.
Acceleration of data collection and analysis using asynchronous programming tools in Web Scraping
Authors:   State University of Information and Communication Technologies, Kyiv, Danylchenko V. M.
Published: September 2024

This article discusses the importance and relevance of using web scraping technologies to effectively collect a significant amount of information in various fields. The potential of using asynchronous tools for fast and productive data retrieval from large-scale web resources has been studied. The article analyzes in detail the possibilities of using asynchronous tools in the context of web scraping, considering their advantages compared to synchronous approaches. Special attention is paid to the use of the Requests libraries, which provide tools for the standard linear approach, and Asyncio, Aiohttp, which help implement the asynchronous approach. After that, the article conducts a comparative analysis of their performance in the scenario of data collection from the website. The development process using the Python programming language is described in detail, and code is presented that illustrates each stage of the execution of the synchronous and asynchronous algorithms in combination with the libraries presented. The authors of the article consider asynchronous web scraping as a powerful tool for creating fast and efficient data collection mechanisms that can be used to train models and analyze large volumes of information. The article discusses the importance of further development of this method in order to ensure high speed of data collection and improve their applicability in various areas. It demonstrates the practical advantages of asynchronous web scraping, and also indicates the prospects for improving this method to improve the collection and processing of information on a scale that goes beyond standard methods. Further research may consider aspects of automating and expanding the capabilities of asynchronous web scraping, as well as the impact of this approach on the development of other areas of information technology. Taking these aspects into account will contribute to the further evolution and optimization of web scraping technologies for a wide range of applications.
Comparative analysis of the approximation of a probabilistic indicator of functional stability using Bernstein polynomials and feed­forward neural networks
Authors:   National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, Barabash O. V.
Published: September 2024

The use of multi-machine information systems is becoming an increasingly popular component of a wide variety of fields of activity. The increase in the number of problems solved through information systems and the increase in their complexity makes the study of the functional stability of the systems under consideration increasingly relevant. The functional stability of an information system is understood as the ability of this system to perform specified functions under the influence of negative influences. At the moment, a number of indicators have been developed to evaluate functional stability numerically. One such indicator is the convolution of the connectivity matrix. Convolution of the connectivity matrix, despite its completeness, has one very significant drawback: its calculation is a rather complicated procedure. Based on this, the question of approximate calculation of this indicator is logical. Since the convolution of the connectivity matrix can be considered as a function of the probability of serviceability of communication lines, an attempt to use certain methods of approximation theory is obvious. At the moment, methods of approximation theory are quite developed. Some of these methods are quite well researched, while others are just gaining popularity. The first group includes Lagrange interpolation polynomials, Legendre polynomials, Bernstein polynomials, splines, partial sums of series, etc., and the second group includes machine learning models, including feedforward neural networks, regression models, and others. Accordingly, the question immediately arises: which of these methods would allow better approximation of the convolution of the connectivity matrix and under what conditions? This paper provides a comparative analysis of the quality of approximation of the functional connectivity indicator of an information system based on the convolution of the connectivity matrix of this system using often considered feed-forward neural networks and using Bernstein polynomials, which, unfortunately, are not often considered despite their remarkable properties. The specifics of using each of these methods when approaching are also demonstrated and, based on this, it is indicated when which of these methods is better to use.
Laser doppler device for simultaneous measurement of the velocity and size of aerosols in the nozzle flame
Authors:   National Aviation University, Kyiv, Dyvnych M. P.
Published: September 2024

Liquid aerosol is used in technological processes in mechanical engineering, instrument building, chemical industry, medicine and agriculture and other areas. Nozzles are used to spray liquids, which allow to obtain their uniform distribution on the surface or in the volume. In aviation jet engines, fuel is sprayed using nozzles. The thrust of an aircraft engine depends on the quality of fuel atomization. Information on the distribution of droplet sizes and their movement velocity is required to assess the properties of the entire droplet-air system of the nozzle torch. To determine the main characteristics of the nozzle, you need to have a device that measures the velocity of aerosols and the size of aerosols in the nozzle flame. In order to solve this problem, the possibility of using a laser Doppler velocitymeter is investigated. Analysis of the radiation scattered by aerosols by intensity and state of polarization was carried out. It is proposed to increase the signal/interference ratio of the device by ensuring the matching of scattered radiation by intensity and polarization state. For this purpose, it is proposed to install a spatial filter of scattered laser radiation in the device. Such a filter should have the form of a diaphragm with two holes in the form of a narrow slit. Within the limits of one hole, the condition of complete matching of radiation in terms of intensity will be fulfilled, and within the limits of the other hole, the condition of matching according to the state of polarization will be fulfilled. It is shown that if such a receiving diaphragm is inserted into a differential-type laser velocity meter, it can be used to simultaneously measure the velocity and size of aerosols in the nozzle plume. The laser velocity meter photo detector must contain a built-in amplifier with a wide bandwidth. Doppler signals must then be sent simultaneously to an amplitude detector and a digital device. Using a digital device, the frequency of the variable component of the signal will be measured, which is proportional to the velocity of the aerosol and the amplitude of the signal is measured which is proportional to the size of the aerosol.
Reservoir and rock characterization for Mishrif Formation/ Zubair Field (Rafdiya and Safwan Domes) by nuclear magnetic resonance and cores analysis
Authors: N. Al-Dujaili Ahmed
Published: September 2024

The identification studies of rock and reservoir characteristics are essential for evaluating the efficiency of a reservoir by analyzing the types of rock and pores. In this study, Nuclear Magnetic Resonance (NMR) for six wells was utilized to identify the rock and reservoir characteristics of the Mishrif formation in the South of the Zubair Field, specifically the Rafdyia and Safwan domes, as well as the west flank. Specific correlations were utilized to describe the classification of rocks, estimate pore throat radius, and recognize possible flow intervals. The results revealed that the Mishrif Formation mainly consists of limestone, dolomite, and shale. The Safwan dome consists mainly of pack-wackestone, wackestone, and mudstone, while the Rafdyia dome is a mixture of packstone, grainstone, and wackestone with some shoal and rudist bioherm facies. The west flank is characterized by pack-wackestone, wackestone, and mudstone. These results were further supported by core analysis. Pore throat types in the Safwan dome range from Micropores to Nanopores, while the Rafdyia dome is dominated by Megapores, Macropores, and Mesopores. The back-shoal facies overwhelm the packstone microfacies. The west flank of the Mishrif Formation in the Zubair Field is mesoporous and micropores. Flow units were identified in the Safwan and Rafdyia domes, as well as the west flank. The Safwan dome has fifteen flow units in the north and seven in the south, while the Rafdyia dome has ten flow units in both the north and south regions, with five flow units on the west flank of the Zubair Field.
Application of dynamic material balance to evaluate oil wells in Buzurgan oil field
Authors: Alhadiry Sarah Hussein , Hamd Allah Sameera M.
Published: September 2024

The Material Balance Equation is a crucial tool utilized in reservoir studies to evaluate fluids and rock properties at static pressures. The Flowing and Dynamic Material Balance methods offer a significant advantage by avoiding the requirement to shut down wells, as they use flowing pressure instead of static pressure under constant or variable flow rates. The concept of "Dynamic Material Balance" involves converting the bottom hole flowing pressure at any point at any given time to the average reservoir pressure at that point. This allows for the use of classical material balance calculations and the development of classical material balance plots. In this study, the Dynamic Material Balance and Agrawal Type Curve techniques were used to estimate average reservoir pressures, initial hydrocarbon in place, and ultimate oil recovery for a well in the Mishrif reservoir, the main reservoir in the Buzurgan oil field. Many wells in this field experience problems such as high-pressure decline or continuous water production, necessitating ongoing evaluation. While the Dynamic Material Balance method focuses on boundary-dominated flow data, the Agrawal-type curve technique analyzes data from both transient and boundary flow periods. Agarwal decline curves were constructed using relationships of pseudo pressure normalized production, material balance pseudo time, and dimensionless variables in well-test analysis. The results from both methods showed comparable results with an absolute percentage error of (0.738) %, (3.07) %, and 5.7% for oil-in-place, drainage area, and average reservoir pressure, respectively. This strong correlation between the Dynamic Material Balance and Type Curve results indicates their accuracy and reliability.
Advancing green technology: demulsifier preparation and evaluation for crude oil emulsion treatment using corn oil
Authors: Abed Mohammed M. , Naife Tariq M. , Abdel Kawi Ibrahim Mervat Amin
Published: September 2024

Globally, oil production has steadily increased which causes a rise in the coproduction of oil and water emulsions. These emulsions pose significant challenges in transportation and the oil refinery industry, causing high-pressure drops and corrosion problems due to chlorides in the water. Despite advancements in renewable energy, crude oil remains a primary energy source. The crude oil industry faces numerous challenges, including cost emulsion issues. This study developed a corn oil bio-demulsifier (MFK). A unique demulsifier was tested using FTIR, GC-MS, and TGA. Using the bottle test method, the produced demulsifier MFK was tested with Basrah oil and East Baghdad S1 oil. The emulsion-breaking processes have been studied under several factors, such as settling time, dosage, temperature, pH, water content, and mixing time after demulsifier addition. At 2000 ppm Basrah oil, water separation efficiency reached 75%. For East Baghdad S1 oil, the highest separation result was 43.3% at 4000ppm, after 5 h of settling time at 70°C, with a 30/70 water-to-oil ratio. When studying the pH, the best water separation rate was 86.5% at a pH of 10. The best water content was 92% when the water-to-oil ratio was 50/50, and the best demulsifier mixing time with the emulsion was 2 min with a separation rate of 74.5%. When mixing was increased, undesirable results occurred. This study demonstrated that biodemulsifiers may replace conventional biodemulsifiers in early units while reducing environmental and economic impacts with further study and development.
Relationship Between Social Media Marketing of Food and Health of Youth
Authors: Iqbal Ashraf , Waqas Muhammad , Ghani Aqsa Abdul
Published: September 2024

Social media is now a strong tool for promoting goods and influencing consumer behavior in the food business. Social media marketing for food has an influence that goes beyond simply increasing brand awareness of eatables. It influences our preferences, decisions, and even our health. Globally active social media platforms have billions of users giving food enterprises a large audience. This study aims to quantify the results of social media marketing. To acquire data, rational and inventive methods have been used (Abbas et al., 2019). The survey was done to assess and investigate the effects of social media marketing on Faisalabad city audiences. This goal is achieved through a creative, logical, and organized data collection process.
Depiction of Woman in Heer Waris Shah
Authors: Masood Sadia , Imran Tazeem , Nazish Irram
Published: September 2024

In every folktale characters hold a significant place because they are not confined to describing or fantasizing the love relations but they reflect the collective social behaviors of the concerned society. Waris Shah portrays Punjabi culture in his classic Heer Ranjha and elaborates on the internal social system and every character of the tale represents the core realities of society. The present study is to highlight the intellectual, symbolic, social, and cultural representation of female characters in Heer Waris Shah.
ОСОБЛИВОСТІ ДЕРЖАВНОГО РЕГУЛЮВАННЯ РОБОТИ САРНЕНСЬКОЇ РАЙОННОЇ ДЕРЖАВНОЇ АДМІНІСТРАЦІЇ ПІД ЧАС ВІЙНИ
Authors: Маланчук Лариса , Кохан Олександр
Published: September 2024

У статті досліджуються особливості державного регулювання роботи районної державної адміністрації під час війни. Проаналізовано основні нормативно-правові акти, які регулюють діяльність районних державних адміністрацій під час воєнного стану, виокремлені відмінності та характерні особливості регулювання їх роботи під час війни. Було встановлено, що наразі військові адміністрації наділені значно ширшими повноваженнями, що зумовлено потребою в оперативному та швидкому ухваленні рішень під час війни. Визначено, що після закінчення бойових дій районні військові адміністрації будуть працювати у форматі районних державних адміністрацій, однак під час війни їхня  юридична підпорядкованість є дещо зміненою. Роботу військових адміністрацій спрямовує, координує і контролює Кабінет Міністрів України та Генеральний штаб Збройних Сил України, зважаючи на їхні повноваження.На прикладі Сарненської районної державної адміністрації – органу державної влади Сарненського району Рівненської області розглянуто основні її повноваження та напрями діяльності в умовах воєнного стану. На підставі проведеного дослідження зроблено висновок, що незважаючи на важкі умови воєнного стану в країні районні державні адміністрації не лише продовжують свою роботу, а й розвиваються, що свідчить про ефективність реалізації публічної влади.
ОСОБЛИВОСТІ ДЕРЖАВНОГО УПРАВЛІННЯ У СФЕРІ НАДРОКОРИСТУВАННЯ НА ПРИКЛАДІ САРНЕНСЬКОГО РАЙОНУ
Authors: Маланчук Лариса , Савчук Руслана
Published: September 2024

У статті досліджуються особливості державного управління у сфері користування надрами, зокрема визначена його сутність, мета та основні завдання. Окреслені законодавчі акти, які регулюють досліджуване питання, а також розглянуто органи державного управління в сфері використання надр. Проаналізована динаміка обсягу легального видобутку бурштину загалом по Україні та в Рівненській області, зокрема Сарненському районі, та виокремлені проблеми в цій сфері. Розглянуто основні зміни в законодавстві, яке регулює використання надр. Обґрунтовано напрями вдосконалення державного управління у сфері надрокористування.
НАПРЯМИ ПОКРАЩЕННЯ РОЗВИТКУ ДОРОЖНЬОГО ГОСПОДАРСТВА З ВРАХУВАННЯМ ІННОВАЦІЙ В БУДІВНИЦТВІ ДОРІГ
Authors: Маланчук Лариса , Шинкарук Антон , Трохимчук Сергій
Published: September 2024

У статті розкрито актуальність впровадження інновацій на основі зарубіжного досвіду для покращення розвитку дорожнього господарства в Україні, особливо в післявоєнний період. Зокрема розглянуто інноваційні методи будівництва доріг, як-от «швидке будівництво» (розглянуто досвід Японії та Швеції), «зелене будівництво доріг» (досвід Нідерландів), «застосування «кругової економіки» (досвід Німеччини).Представлено ключові аспекти для впровадження в Україні інноваційних способів будівництва доріг в післявоєнний період на основі зарубіжного досвіду.
АНАЛІТИКА ДІЯЛЬНОСТІ СІЛЬСЬКОГОСПОДАРСЬКИХ ПІДПРИЄМСТВ В УМОВАХ ПОВНОМАСШТАБНОЇ ВІЙНИ В УКРАЇНІ
Authors: Олійник Олена , Малашинська Юлія
Published: September 2024

В науковій статті проаналізовано діяльність сільськогосподарських підприємств в Україні в умовах повномасштабної війни. Визначено, що з початком повномасштабного вторгнення кількість суб’єктів господарювання за видом економічної діяльності 01 «Сільське господарство, мисливство та надання пов’язаних із ним послуг» суттєво зменшилась. Оцінено вплив війни на фінансові результати діяльності сільськогосподарських підприємств. З метою деталізації взаємозв’язку між обсягом реалізованої продукції (товарів, послуг) та капітальними інвестиціями розроблено економіко-математичну модель: у=9936, 1х-3681773,27.
БЛАГОДІЙНА ДІЯЛЬНІСТЬ В УКРАЇНІ: НОРМАТИВНЕ ЗАБЕЗПЕЧЕННЯ ТА ОСОБЛИВОСТІ ОБЛІКУ
Authors: Позняковська Наталія
Published: September 2024

У статті досліджуються особливості регулювання і обліку благодійної діяльності в Україні. Автором запропоновано класифікацію благодійних організацій за ознаками: організаційно-правовими формами, цілями створення, сферами та напрямами діяльності. Визначено інструменти благодійної діяльності в умовах сьогодення та їх вплив на облікову політику. Вказано подібні і відмінні риси між громадською і благодійною організаціями. Відзначено особливості міжнародної практики визнання неприбуткових установ та відмінності у їх трактуванні в Україні. Здійснено спробу теоретичного обґрунтування та надано практичні рекомендації з вдосконалення обліку благодійних організацій: благодійних товариств, благодійних установ, благодійних фондів. Розглянуто сучасний стан і перспективи системи бухгалтерського обліку благодійної діяльності в Україні.
TÜRKİYE’DE İCRA EDİLEN YAYLI HALK ÇALGILARI
Authors: Çelik Özgür
Published: September 2024

Yaylı halk çalgıları, müzik pratiklerinin en önemli seslendirme araçlarındandır. Bu çalgılar, tıpkı diğer çalgılar gibi icra edildiği toplumun müzik kültürüne uygun bir şekilde gerek şekil ve yapı özellikleri bakımından gerekse de icra bağlamında dönüşerek ve de değişerek günümüze kadar ulaşmıştır. İnsanın en önemli gereksinimlerinden biri olan müzik yapma ihtiyacı doğrultusunda değişen ve gelişen bu çalgılar, taşındıkları yeni bölgelerde yeni anlamlar kazanarak yeni icra ortamları bulmuştur. Türkiye sahası, kendi kültürel kimliğini yansıtan yaylı halk çalgıları bağlamında oldukça zengin bir bölgedir. Öyle ki her bölgenin ve de her yörenin müzik unsurlarında ve müzik pratiklerinde yaylı halk çalgısına rastlamak mümkündür. Bu bağlamda bu makalede, günümüzde Türkiye’de icra edilen yaylı halk çalgılarından; Kastamonu kemanesi, ıklık, hegit, tırnak kemane, bas kemane, Karadeniz kemençesi, kemençe (Batman, Mardin ve Siirt bölgelerinde icra edilen kemençe), keman ve kabak kemane çalgılarının şekil ve yapı özellikleri yanında, icralarını da merkeze alarak değerlendirmeler yapılacaktır. Bu bilgiler ışığında karşılaştırma yöntemiyle Türk dünyasında icra edilen yaylı halk çalgıları arasındaki şekil, yapı ve de icra özellikleri bakımından ortak özellikleri tespit edilecek ve de Türk dünyası yaylı halk çalgı tiplerinin Türkiye sahasında icra edilen yaylı halk çalgılarının birbirlerine olan etkileri ortaya koyularak bir sonuca ulaşılmaya çalışılacaktır.
Cooperative Compliance in Poland: The Question of Equality
Authors: Burzec Marcin
Published: September 2024

An increasing number of tax jurisdictions are implementing the concept of cooperative compliance into their tax systems. It aims to improve tax compliance by building an enhanced relationship between tax authorities and taxpayers. In principle, the programme is aimed at large taxpayers capable of engaging in aggressive tax optimization that is detrimental to state revenue. Dedicating the programme exclusively to large taxpayers may raise doubts about whether it violates the principle of equality before the law. In Poland, the legislation governing the cooperative compliance programme was introduced on July 1, 2020. As in other countries, it was targeted at large taxpayers. The article therefore discusses the question whether the Polish legal regulations on cooperative tax compliance are in line with the constitutional principle of equality.
STRUCTURE, QUANTUM CHEMICAL, DENSITY OF STATES, AND MOLECULAR DOCKING ANALYSIS OF SOME CHOLANE DERIVATIVES
Authors: N. Kumari  , S. Murugavel  , D. Lakshmanan  , R. Kant
Published: September 2024

Cholane is a triterpene that exists either as a 5-α or 5-β stereoisomer. It has various functionalized analogs produced by plants and animals in the form of steroids and bile acids. The cholane derivatives have huge pharmaceutical importance. Therefore, a search at the Cambridge Structure Database (CSD version: 2023) revealed a few cholane structures having close chemical similarities. These structures have theoretically been investigated using SC-XRD data, density functional theory (DFT), Hirshfeld surfaces, density of states, and molecular docking formalism. The structures have been labeled as M-1 to M-5. The DFT analysis has been performed to optimize each structure and compare the optimized geometric parameters with the corresponding SC-XRD data. The DFT method has been employed for HOMO-LUMO and MEP analysis. The density of states (DOS) analysis has been performed to identify and examine various orbital contributions. The 3-D Hirshfeld surface analysis and the subsequent 2-D fingerprint plots helped visualize distinct short contacts and their percentage contributions in each molecule. The molecular docking analysis of each structure has been performed with the protein epidermal growth factor receptor to determine the anti-cancer activity of each structure.
ULTRASONIC STUDY OF BINARY MIXTURES OF DHMOH AND ACETONE AT 288.15-313.15 K
Authors: Gupta Shalini , Jain Vikas , Siddiqui N. U. , Agarwal Ruchi , Kumar Munish , Mohan Anuraag
Published: September 2024

The density (ρ), viscosity (η), and ultrasonic velocity (u) have been measured in the binary solutions of Dihydromyrcenol (DHMOH) with acetone at different temperatures: 288.15−313.15 K to understand the molecular interaction between these solutions. From the measured values, various acoustical parameters such as adiabatic compressibility (), acoustic impedance (Z), molecular free length (Lf), molar volume (Vm), free volume (Vf), Relative association (RA), internal pressure (i), and molar sound velocity (Um) were determined and correlated with concentration at different temperatures. The observed behaviour of these parameters concerning different compositions is discussed in terms of their molecular interactions between the unlike molecules of the binary solutions. The variations in measured and calculated values with concentration and temperature confirmed the presence of molecular interaction in the mixtures and were further confirmed by relative association.
EXPERIMENTAL SYNTHESIS OF ZIRCONIA NANOPARTICLES USING VARIOUS CAUSTIC FUSION TEMPERATURES DERIVED FROM NATURAL MATERIAL ZIRCON SAND IN INDONESIA
Authors: Sari Alvika Meta , Umar Efrizon , Aziz Azmairit , Ramadhan Anwar Ilmar , Faisal Akmal Imam , Firmansyah
Published: September 2024

The purpose of this research was to analyze the effect of caustic fusion temperature on the size, and impurity of Nano-zircon produced from zircon sand. Caustic fusion of zircon sand using NaOH was conducted with varied temperatures of 400-600 °C, followed by water leaching, acid leaching, precipitation, and calcination to produce zirconia nanoparticle powder. The synthesized zirconia nanoparticle was analyzed using FT-IR and SEM. The yield of the product was also determined and the correlation between varied caustic fusion temperature and yield and diameter product was determined using the least square equation. From the FT-IR spectrum, it is shown that the presence of -OH hydroxyl groups at a wavelength of 3417.725 cm-1 indicates the presence of ≡Si-OH groups. At wave 2258.504 cm-1 indicate the presence of a Si-H group in the form of ≡Si-O-OH groups. The correlation between the temperature of caustic fusion and yield follows the equation y = -0.00184x + 1.244 and R2 = 0.9888 indicating that the higher the temperature of caustic fusion the higher the yield of zirconia nanoparticle product. The optimum temperature was found at 450 °C with a yield of 0.42% and a size of 32.984 nm.
SECONDARY METABOLITE PROFILING OF ETHYL ACETATE AND WATER FRACTIONS OF ETHANOL EXTRACT OF Eugenia Aqueum (BURM. F) ALSTON LEAVES USING UHPLC-Q-ORBITRAP HRMS
Authors: V. M. Patricia  , S. Suwendar  , S. E. Priani  , D. Mulyanti  , T. M. Fakih  , I. Jantan
Published: September 2024

Eugenia aqueum (Burm. F) Alston, which is frequently referred to as a watery rose apple, has demonstrated various biological and pharmacological effects. Bioactive constituents such as phenolics, flavonoids, steroids, and triterpenoids have been identified from the leaves of this plant. However, a comprehensive analysis of its secondary metabolites has not been conducted to date. In this research, advanced liquid chromatography, specifically ultra-highperformance liquid chromatography (UHPLC), was employed alongside high-resolution mass spectrometry that utilizes quadrupole-Orbitrap technology (Q-Orbitrap HRMS) to analyze the metabolites present in the ethyl acetate and aqueous fractions obtained from 96% ethanol extracts of E. aqueum leaves. A total of thirty-three different chemical compounds were provisionally identified by analyzing precise measurements of precursor and fragment ions. The ethyl acetate fraction exhibited a higher number of identified peaks compared to the water fraction. The identified metabolites included phenolics, flavonoids, terpenoids, steroids, fatty acids, lignans, porphyrins, and chlorophyll fragments. These findings offer a comprehensive chemical profile of the watery rose apple, contributing valuable insights into correlating bioactive metabolites with the plant's biological activities.
Using the indirect tensile fatigue test to evaluate fatigue characterisation of asphalt mixtures
Authors: Bich Nguyen Van
Published: September 2024

Fatigue cracking is a principal structural failure mode in asphalt pavement layers, resulting from repeatedtraffic-induced loading stresses. Therefore, understanding fatigue deterioration behaviour is crucial for ensuring effective pavement design. In recent years, the indirect tensile fatigue test has become one of the mostcommonly used methods for evaluating the fatigue behaviour of asphalt mixtures, owing to its simplicity andsuitability for cylindrical specimens either produced in the laboratory or cored from pavement constructionsites. In this research paper, the indirect tensile fatigue test was employed to assess the stiffness modulus andfatigue behaviour of one unmodified asphalt mixture (DBM50) and two polymer-modified mixtures (EME2and SMA) in stress-controlled mode across various temperatures. The results indicated that the indirect tensile fatigue test worked well and it can be considered to characterise effectively fatigue behaviour of differentasphalt mixtures in Vietnam. In addition, the test results revealed that the SMA mixtures exhibited the bestperformance at both 20 °C and 10 °C compared to other mixtures. Specially, the fatigue lines for DBM50 andSMA at 20 °C were positioned above those at 10 °C, while the fatigue lines for EME2 lines remained quitesimilar across both temperature levels.
Reuse of plastic waste as bio-carriers for domestic wastewater treatment – An approach towards circular economy
Authors: Hong Anh Do , Son Tran Hoai , Anh Tran Thuy , Huyen Nga Tran Thi , Huyen Dang Thi Thanh
Published: September 2024

With the rapid growth of economic development, the circular economy has been raised in many internationalenvironmental and socio-economic conferences and forums nowadays. The recycling of plastic waste was oneof those aspects. This paper studied the potential of directly reusing plastic bottle caps as bio-carriers in movingbed bioreactors without further waste processing. As the caps had lower surface areas than the commercial carriers, total bacteria communities on the commercial carriers (K3) were 3-4 times higher than those on the bottle caps at different counting magnitudes. Nevertheless, the bottle caps could accommodate similar nitrogen-based bacteria (ammonia-oxidizing bacteria - AOB and nitrite-oxidizing bacteria - NOB density), which promotes well for the nitrification and denitrification processes. The COD and N-NH4 removal efficiencies were 92% and 86% on average, respectively. The high pollutant removal capacity reveals the very promising potential of bottle caps as bio-carriers for domestic wastewater treatment, promoting waste reduction and treatment expenses and presenting an excellent example of economic circular.
Present Understanding of Biodiversity of Anoxygenic Phototrophic Bacteria in the Relic Lake Mogilnoe (Kildin Island, Murmansk oblast, Russia)
Authors: Gorlenko V. M. , Lunina O. N. , Gruzdev D. S. , Krasnova E. D. , Voronov D. A. , Belenkova V. V. , Kozyaeva V. V. , Savvichev A. S.
Published: September 2024

The relic Lake Mogilnoe, separated from the Barents Sea by a sand and pebble dam, is located in the high Arctic on the Kildin island (Murmansk region). This lake is a classic example of a meromictic basin of marine origin. The data obtained during the 2018 expedition showed changes in the hydrochemical regime of the lake that have occurred over the past 20 years. Sulfide concentration in the monimolimnion of the lake was as high as 140 mg/L. A tendency for salinization of the surface waters to 7 g/L has been noted. The Lake Mogilnoe is characterized by a discrepancy between the halocline and thermocline levels. The chemocline zone in the lake is below the halocline level. In a narrow oxygen-containing layer between 3 and 7.5 m, aerobic microflora of the marine type and marine fauna were present. The bacterial plate was formed at the boundary of the sulfide layer at ~8 m and mainly consisted of green sulfur bacteria (GSB). Brown-colored GSB species containing bacteriochlorophyll e were predominant. The previously formed concept of anaerobic phototrophic bacteria (APB) biodiversity based on morphological characteristics was modified using metagenomic data obtained by analyzing DNA from two samples of lake water in the chemocline zone, and was also supplemented by identifying new GSB species. Molecular diagnostic data confirmed the absolute dominance of the brackish species of GSB Chlorobium phaeovibrioides. This is the first on isolation and identification of brown- and green-colored Prosthecochloris aestuarii morphotypes from Lake Mogilnoe and identified, as well as of bacteriochlorophyll c-containing Prosthecochloris sp. The taxonomic position of Pelodyction phaem, which was constantly present in the Lake Mogilnoe, is discussed in detail. Despite the partial isolation of the ecosystem of Lake Mogilnoe from the Barents Sea, the main properties of the dominant GSB species of GSB and Prosthecochloris aestuarii turned out to be similar to those of the phylotypes living in lakes on the White Sea coast of the, which remained connected with the Barents Sea.
The Source of Thermophilic Bacteria in Lake Baikal Cold Sediments – Coastal Hydrotherms or Deep Fluids?
Authors: Pavlova O. N. , Chernitsyna S. M. , Bukin S. V. , Lomakina A. V. , Shubenkova O. V. , Smirnova D. K. , Zemskaya T. I.
Published: September 2024

The sources of thermophilic bacteria revealed in cold Lake Baikal sediments are considered. Comparative analysis of the taxonomic position of thermophilic microorganisms from four terrestrial hot springs at Lake Baikal coast and from the bottom sediments associated with hydrocarbon discharge was carried out. The sequences of thermophilic microorganisms with the same taxonomic position were revealed both in the hot springs and bottom sediments. Some microbial species occurred only in the hydrotherm samples or only in those from the sediments. Gas-saturated fluids from the hydrocarbon generation zone at the depth of 4‒6 km are the most probable source of thermophilic microorganisms in the bottom sediments.
Pengukuran Kinerja Kelompok Tani Komoditas Padi Di Kabupaten Luwu Provinsi Sulawesi Selatan Menggunakan Metode Balanced Scorecard
Authors: Iqro Muhammad
Published: September 2024

Kelompok tani merupakan organisasi petani yang selalu dikaitkan dalam pengembangan dan pemberdayaan masyarakat terutama di pedesaan. Pemberdayaan kelompok tani bertujuan meningkatkan kesejahteraan keluarga tani. Pemerdayaan dengan berbagai bentuk intervensi program dilakukan untuk meningkatkan kelompok tani baik dari segi usaha dan kelembagaan. Pengukuran kinerja perlu dilakukan untuk melihat status kinerja kelompok tani tersebut dengan menggunakan metode balanced scorecard. Pengukuran kinerja ini bertujuan mengidentifikasi kriteria/ atribut kinerja kelompok tani komoditas padi, mengukur kinerja kelompok tani komoditas padi, dan menganalisis langkah perbaikan untuk peningkatan kinerja kelompok tani komoditas padi. Pengukuran kinerja kelompok tani dengan empat perspektif pada balanced score card memberikan hasil bahwa kesemua kelompok tani berstatus kinerja “cukup” dengan nilai yang beragam antara 0,15 sampai dengan 0,51. Analisis langkah perbaikan dengan fishbone analisis menunjukan strategi yang dapat diterapkan yaitu pendampingan yang intens, membentuk dan meningkatkan kegiatan simpan pinjam kelompok, mendorong kelompok untuk membentuk atau menggunakan layanan unit pelayanan jasa alsintan, literasi keuangan, dan mendorong pertanian organic, dan membentuk kemitraan agribisnis.
Strategi Pengembangan Mangga Agrimania Sebagai Komoditas Buah Unggulan Baru di Kabupaten Indramayu
Authors: Supriyadi Supriyadi , Santoso Teguh Iman , Karto Karto
Published: September 2024

Penelitian ini ditujukan untuk mengetahui faktor internal dan eksternal serta strategi yang tepat dalam pengembangan mangga Agrimania sebagai komoditi buah baru unggulan di Kabupaten Indramayu. Metode penelitian menggunakan survey, desain penelitian menggunakan survey deskriptif. Analisis data penelitian menggunakan analisis SWOT.
Berdasarkan hasil penelitian, faktor kekuatan meliputi a) agroklimat Kabupaten Indramayu sangat cocok untuk pengembangan budidaya tanaman mangga Agrimania: b) mangga Agrimania merupakan mangga unggulan yang memiliki rasa yang manis; c) harga mangga Agrimania mahal; d) lahan yang luas untuk mengembangkan mangga Agrimania; e) produktivitas mangga Agrimania cukup tinggi; f) penerapan GAP (Good Agriculture Practise) dalam proses budidaya; g) bibit mangga Agrimania tersedia; h) mangga Agrimania telah diakui sebagai mangga lokal oleh Pemerintah. Faktor kelemahan, meliputi a) mangga Agrimani belum banyak dikenal masyarakat; b) sumberdaya manusia yang masih terbatas dalam pengelolaan; c) mangga Agrimania masih rentan terhadap cuaca; d) produk mangga Agrimania memiliki sifat mudah rusak; e) kesesuaian lahan di Kabupaten Indramayu berbeda-beda; f) belum didukung oleh lembaga penelitian. Faktor peluang meliputi:  a) permintaan pasar yang sangat terbuka di daerah maupun luar daerah; b) adanya dukungan dari pemerintah daerah; c) adanya dukungan dari pemerintah pusat; d). Adanya gaya hidup sehat dengan mengkonsumsi buah; e) mangga merupakan salah satu buah tropis favorit; f) adanya teknologi budidaya tanaman mangga; g) daya beli masyarakat yang akan terus meningkat; h) jaringan pemasaran digital yang luas. Faktor ancaman yaitu: a) preferensi konsumen yang beranekaragam; b) konsumen lebih memilih mangga yang lebih murah; c) buah mangga rentan terhadap cuaca; d) masuknya mangga luar negeri di pasar local; e) tuntutan sertifikasi buah.
Strategi pengembangan mangga Agrimania sebagai komoditi buah baru unggulan di Kabupaten Indramayu yaitu mempertahankan pasar yang ada dengan mengembangkan mangga agrimania untuk memenuhi pasar buah lokal maupun pasar luar negeri dengan menggunakan kekuatan untuk memanfaatkan peluang. Sehingga strategi pengembangan mangga agrimania adalah menggunakan strategi S-O.
Freecycling Markets as Sustainable Materialist Movements?
Authors: Tan Qian Hui , Yeoh Brenda S.A.
Published: September 2024

This paper seeks to redress the over-emphasis on state-driven circular policies in public and academic discourses by attending to two physical community-based freecycling markets at the emerging frontiers of circular waste/resource management in Singapore. Freecycling markets that close short reuse loops are a counterpoint to policies that close long recycling loops. Drawing primarily on empirical data from ethnographic fieldwork, we argue that freecycling markets exemplify a sustainable materialist movement concerned about the sustainability of material resources vis-à-vis the closing/shortening of material circularity loops. This is achieved through the reconfiguration of (a) material flows and (b) material relations. The redirection of unwanted but reusable household objects away from the incinerator and towards potential reusers animates a shift from a linear to circular material flow. We contend that this redirection of material resources for reuse is augmented by rescue and recirculation, which are relatively neglected within the scholarship on circular R-behaviours. Additionally, freecycling markets seek to transform material relations by encouraging care and stewardship, instead of use and disposal. Crucially, we highlight how freecycling markets may be plagued with material constraints that render them not-so-sustainable-and-scalable, thereby shedding light on the practical limits of sustainable materialist action. Taken together, this paper extends the scholarship on circular economies by bringing work on sustainable materialism into a productive dialogue with that on circular activisms and R-behaviours.
ARTIFICIAL INTELLIGENCE TECHNOLOGIES AND SOLVING SOCIAL PROBLEMS
Authors: Kantureyeva M.A. , Bekmanova G.T. , Omarbekova A.S. , Yergesh B.Zh. , Valentina F.
Published: September 2024

The use of modern digital technologies, such as paperless document management, automated information systems, blockchain, big data, artificial intelligence (AI), etc., allows you to create high-performance decision-making systems. In the course of the development of modern information technologies, intensive digitalization is taking place in almost all spheres of human activity and the introduction of artificial intelligence, which affects social problems within society. In addition to the obvious advantages of using human intelligence in the new digital world, there may be various situations, primarily related to the digital society and the management decision-making process. Social problems are investigated using artificial intelligence technologies in a digital society. The article discusses the main aspects of social problems related to artificial intelligence technologies, in addition, in order to solve social problems and identify semantic features of the knowledge base, an algorithm has been developed that provides a clear picture of social aspects in the process of filling in the database, taking into account the purpose of forming a thesaurus for a system of questions and answers.
МЕТОД РАСПОЗНАВАНИЯ ЧЕЛОВЕКА ПО ИЗОБРАЖЕНИЮ ЛИЦА НА ОСНОВЕ ПЕРЕМЕЩЕНИЯ ТОЧКИ ПО НАПРАВЛЯЮЩИМ
Authors: Муталова Ж.С. , Шаушенова А.Г. , Исакова Г.О. , Нурпейсова А.А. , Онгарбаева М.Б. , Абдыгаликова Г.А.
Published: September 2024

В статье исследованы особенности методов распознавания человека по изображению лица и представлен сравнительный анализ этих методов. Целью статьи является анализ существующих методов распознавания человека по изображению лица, изучению существующих подходов к формированию цифровых моделей и особенностей алгоритмизации процессов распознавания, оценка тенденций и перспектив развития для разработки нового метода распознавания лиц. Выявленные особенности методов распознавания позволили построить информационную модель, которая отображает базовые методы, особенности каждого метода и вопросы, которые все еще остаются нерешенными. Основное направление исследований сосредоточено на описании человеческого лица точками, которые могут выступать якорями для сравнения и последующей разработки цифровой модели. Определены основные особенности детализации человеческого лица для последующего анализа идентичности. Предложен метод, описывающий изменение движения зафиксированных точек (якорей) по векторам, проходящим по некоторому анализируемому участку на лице. В качестве примера представлен подход с использованием трех направляющих, где наблюдение проводится по трем точкам, скользящим по векторам. В итоговом разделе по результатам исследования авторы освещают базовые аспекты разработанного метода, а также приводят результаты компьютерного эксперимента с анализом движения точки по векторам. Далее рассматриваются изменения позиции точки при мимических реакциях и строится цифровая модель участка с возможностью учета освещенности. Выполнение операции обработки результата проводится менее, чем за 0,001с, что позволяет говорить о положительном результате с минимизацией потерь времени при расчетах.
Enhanced Crack Segmentation Network: Leveraging Multi-Dimensional Attention
Authors: Okran Ammar M. , Rashwan Hatem A. , Puig Domenec
Published: September 2024

Structural defects, such as cracks, are crucial in various infrastructures, with their accurate delineation paramount for maintenance. However, existing methods often struggle to precisely segment cracks. Despite the advent of deep learning in image segmentation, the recurrent convolution and pooling operations tend to overlook vital edge information, thus compromising the final segmentation accuracy. This paper proposes a pixel-level crack segmentation network using a UNet architecture with a pre-trained ConvNext as the encoder, combined with Multiple Dimension Attention Enhancement (MDAE) blocks. The MDAE block enhances local edge information acquisition, leading to more precise crack segmentation. Experimental results on a public dataset, Crack500, demonstrate the proposed network’s effectiveness, achieving an IoU of 59.6% and an F1-score of 74.7%, thus significantly improving crack segmentation performance.
Multiclass Lesion Detection Using Longitudinal MRI in Multiple Sclerosis
Authors: Elkoroaristizabal Ander , Vivó Francesc , Calvi Albert , Solana Elisabeth , Lopez-Soley Elisabet , Alba-Arbalat Salut , Diaz-Hurtado Marcos , Kanber Baris , Casas-Roma Jordi , Llufriu Sara , Prados Ferran , Martínez-Heras Eloy
Published: September 2024

Accurate detection of white matter (WM) lesions is essential for diagnosing and monitoring Multiple Sclerosis (MS), but manual lesion identification is challenging and time-consuming. This study employs the “no new U-Net” (nnU-Net) version 2 architecture to enhance the lesion segmentation process. We trained our model with a fine-tuned version of the default nnU-Net configuration incorporating extreme oversampling and a smaller learning rate to improve new or evolving lesion detection. Results showed that our nnU-Net v2 achieved a F1 score of 0.73 for baseline lesions and 0.75 for new or evolving lesions, demonstrating notable performance in identifying both types of lesions, and that the model generalized well to the MSSEG-2 dataset. This study highlights the capabilities of the nnU-Net v2 architecture for robust WM lesion detection in longitudinal cohorts. The final phase involved packaging our top-performing ensemble of models into a Docker container for easy usage, enabling the automatic distinction between baseline and new or evolving lesions.