bluuebunny/crossref_metadata_2025 huggingface dataset:
توظيف الخوارزمية الجينية في ايجاد افضل انموذج انحدار خطي
Authors: م. فاطمة حسن عاكول  , ا.م.د. حسام عبد الرزاق رشيد
Published: June 2024

نستعرض في هذه الدراسة اهمية استخدام الخوارزمية الجينية التي تعد احدى اهم وسائل الذكاء الاصطناعي  الحديثة في حل المشاكل المتعلقة بتحليل الانحدار الخطي  وايجاد افضل الحلول (جيل جديد) يحمل صفات اكثر لياقة ودقة ، كما ان عمل طفرة جديدة في الاجيال له اهمية في تحسين النتائج وقد ركزت المقالة على هذا الجانب.
Research and design of automatic cutting machine for propellant NDSI-2K and FCG-2.B41M
Authors:   Factory Z195, General Department of Defense Industry, Hop Chau Town, Tam Dao District, Vinh Phuc Province, Vietnam, Le Van Thuan , Dao Viet Hai ,   Factory Z195, General Department of Defense Industry, Hop Chau Town, Tam Dao District, Vinh Phuc Province, Vietnam, Nguyen Thai Hop ,   Factory Z195, General Department of Defense Industry, Hop Chau Town, Tam Dao District, Vinh Phuc Province, Vietnam
Published: June 2024

This article introduces the results of research on a new solution in the process of cutting and selecting propellants used for the double-based tubular propellant production line of Factory Z195/General Department of Defense Industry. The traditional method is usually manual, using the foot pedal force of the worker through a mechanical drive system to pull the cutting knife down to cut the propellant. It takes a lot of time, labor and product quality is not high. After cutting it is necessary to lathe the ends of propellant tube to meet technical requirements. With the new solution, the propellant is cut automatically, quickly, safely and accurately and the selection of the propellant is carried out through a weighing conveyor system based on the principle of classification by weight. The entire working process is controlled by a sensor systemand PLC programerthrough a monitoring computer located in the control room. Processing data can be stored and periodically exported for report purposes.
An Archaeological Exploration on Religious Change in Liwa, West Lampung
Authors: Rusyanti Rusyanti , Imam Hindarto  , Nurul Laili  , Desril Riva Shanti  , Auliana Muharini
Published: June 2024

Mountains, hills, and highlands have long been venerated in ancient beliefs as the dwelling places of deities. West Lampung, with its sacred sites, is a prime example of such places. These sites, evidenced by numerous archaeological findings, have recorded the evolution of religious significance over time. This study aims to explore the transformation of these sacred sites and their contemporary interpretations. The main objective of this research is to explore the progression of religious shift in Liwa, West Lampung. By examining archaeological records from 2011 to 2018, this study constructs chronological narrative of the region’s early religious history. The findings reveal four prevalent patterns that encapsulate the religious transformations from the 10th to the 19th centuries. These patterns, derived from archaeological data and supplemented by contextual and historical analysis, indicate a shift in religious practices in this region. This shift aligns with Lewis Rambo’s model of religious change in a macro context, characterized by encounter, interaction, communication and subsequent consequences. This study, therefore, provides valuable insights into the dynamic nature of religious practices and beliefs in Liwa over centuries.
PENGARUH POC CAMPURAN LIMBAH IKAN DAN AIR CUCIAN BERAS TERHADAP PERTUMBUHAN KELAPA SAWIT (Elaeis guineensis Jacq.) PADA FASE PRE NURSERY
Authors: Mutia Yopa Dwi
Published: July 2024

Permasalahan produktivitas kelapa sawit disebabkan banyaknya kelapa sawit yang sudah berumur di atas 25 tahun sehingga tanaman kelapa sawit kurang produktif. Upaya menjaga produktivitas tanaman di perkebunan kelapa sawit dilakukan dengan menyediakan bibit berkualitas. Penelitian bertujuan untuk mendapatkan konsentrasi POC campuran limbah ikan dan air cucian beras terhadap pertumbuhan bibit kelapa sawit di pre nursery. Percobaan telah dilaksanakan pada bulan Mei sampai dengan bulan Agustus 2022 di Kelurahan Ampang, Kecamatan Kuranji, Kota Padang, Sumatera Barat. Penelitian menggunakan rancangan acak lengkap (RAL). Perlakuan adalah konsentrasi POC campuran limbah ikan laut dan air cucian beras terdiri dari 8 konsentrasi. Perlakuan tersebut diulang 4 kali sehingga terdapat 32 satuan percobaan. Pengamatan yang dilakukan yaitu tinggi tanaman, jumlah daun, luas daun, diameter batang, bobot pertambahan bibit, warna daun, dan normalitas bibit. Hasil penelitian dapat disimpulan bahwa: POC campuran air limbah ikan dan air cucian tidak dapat meningkatkan pertumbuhan bibit kelapa sawit di pre nursery kecuali luas daun dengan konsentrasi 15%, diameter batang dengan konsentrasi 15%, dan bobot pertambahan bibit dengan konsentrasi 15%.
Comparative Analysis of Sorting Algorithms: TimSort Python and Classical Sorting Methods
Authors: Wibowo Firmansyah Rekso , Faisal Muhammad
Published: June 2024

The sorted() function within the Python programming language has emerged as the primary choice among developers for sorting operations. Consequently, this study offers a comparative analysis of various classical sorting algorithms and Python's built-in sorting mechanisms, with the objective of identifying the most time-efficient sorting algorithm. The analysis involves assessing the time complexity of each algorithm while handling data arrays ranging from 10 to 1,000,000 elements using Python. These arrays are populated with randomly generated numeric values falling within the range of 1 to 1000. The benchmark algorithms utilized encompass Heap Sort, Shell Sort, Quick Sort, and Merge Sort. A looping mechanism is applied to each algorithm, and their execution speeds are gauged utilizing the Python 'time.perf_counter()' library. The findings of this study collectively indicate that Python's standard algorithm, surpasses classic sorting algorithms, including Heapsort, Shellsort, Quicksort, and Mergesort, in terms of execution.
Expert System for Diagnosing Covid-19 Disease Using Method Forward Chaining
Authors: Fadli Sofiansyah , Ashari Maulana , Septiani Ria , Saikin Saikin , Sudyana Didik
Published: June 2024

December 2019 was the beginning of cases that hit the Wuhan area, increasing cases of Covid-19 in China every day and increasing from January to February 2020. Initially reports came from the Hubei area and surrounding provinces, and the reports that came increased to the provinces around China, there were 86 other cases reported from various parts of the country, including Indonesia. Indonesia's first Covid-19 disease reportedly entered on March 2, 2020, there were two cases. The latest information is published on the official WHO website (World Health Organization) it was recorded that from January 3, 2020 to March 18, 2022 in Indonesia, there were 5,948,610 people who were recorded as positive for Covid-19 and 153,411 people were confirmed to have died. Diagnosing Covid-19 is the job of experts or specialists who have experience and knowledge in this field. An alternative that can help people who are not experts in diagnosing Covid-19 is an expert system. The forward chaining method was chosen because it is a forward tracking technique that is sorted according to the number of facts and ends with a conclusion. Forward Chaining is a method inference engine where this method compares facts and statements and will start from the left first (IF). Where, reasoning will start from the facts and then test the validation of the hypothesis (THEN). This research was conducted to make it easier for non-experts to diagnose Covid-19 with this expert system, and to be able to provide solutions after a successful diagnosis.
Evaluating the Performance of ETSI-ITS Multi-Stack Protocols for V2V Communication in VANETs: A Simulation Study
Authors: Bintoro Ketut Bayu Yogha , Geraldo David
Published: June 2024

The research evaluates various multi-stack protocols for Vehicular Ad-hoc Networks (VANETs), focusing on Vehicle-to-Vehicle (V2V) communication scenarios with Emergency Vehicle (EV) simulations. The study uses the ns-3 network and SUMO (Simulation of Urban MObility) traffic simulators to test these protocols in diverse scenarios, including fluctuating data rates and dense network conditions. By implementing the IEEE 802.11p protocol alongside vehicular message dissemination stacks compliant with ETSI (European Telecommunications Standards Institute) ITS (Intelligent Transport Systems) standards, the study performs simulation experiments with varying vehicle counts, ranging from 20 to 35. It employs two distinct data rate configurations while maintaining a constant transmission power of 23 dBm. The results indicate a decline in the average Packet Reception Ratio (PRR) as vehicle density increases, indicating heightened contention and interference. At the same time, there is an observed increase in average latency, contributing to increased message transmission and reception delays. The quantitative analysis demonstrates an inverse relationship between the average PRR and the total vehicle count when the SEND_CAM message is enabled. On the other hand, disabling SEND_CAM maintains a relatively consistent average PRR across scenarios. Additionally, a positive correlation between vehicle count and average latency underlines the impact of network congestion and interference on communication efficacy within VANETs. Despite suboptimal PRR values falling between 41% and 47%, latency performance remains satisfactory, with average latency durations ranging from 0.154 s to 0.187 s. Notably, the SEND_CAM parameter status shows negligible impact on protocol performance, suggesting that network density plays a more pivotal role. Finally, this study offers valuable insights into the trade-offs and challenges of multi-stack protocols in V2V communication within VANETs. Further optimization efforts are recommended to improve packet reception ratios, especially in high-vehicle-density environments, while maintaining acceptable latency levels. These findings contribute to the ongoing efforts to enhance the reliability and efficiency of communication protocols in VANETs, thus advancing the development of intelligent transportation systems. The study's quantitative protocol performance analysis under varying network conditions provides valuable guidance for optimizing V2V communication deployments in VANETs.
Network Intrusion Detection Based on Machine Learning Classification Algorithms: A Review
Authors: Younis Aqeel Hanash , Abdulazeez Adnan Mohsin
Published: June 2024

The worldwide internet continues to spread, presenting numerous escalating hazards with significant potential. Existing static detection systems necessitate frequent updates to signature-based databases and solely detect known malicious threats. Efforts are currently being made to develop network intrusion detection systems that can utilize machine learning techniques to accurately detect and classify hazardous content. This would result in a decrease in the overall workload required. Network Intrusion Detection Systems are created with a diverse range of machine learning algorithms. The objective of the review is to provide a comprehensive overview of the existing machine learning-based intrusion detection systems, with the aim of assisting those involved in the development of network intrusion detection systems.
Solar Power System for Water Pressure Monitoring System at Perumda Tugu Tirta Kota Malang
Authors: Wahyudi Ilham , Siswanto Diky , Mukhsim Mohamad , Setyawidayat Sabar
Published: July 2024

The Internet of Things (IoT) connects devices to the Internet, allowing them to communicate with consumers. Embedded computer systems, sensors, and actuators are all part of it. Some IoT applications, such as Tugu Tirta Malang, have had a significant impact on water distribution. Choosing the right power supply can provide more effective real-time results in collecting and exchanging data. As in previous research on the use of solar cells for power supply, IoT devices can produce sensor reading systems with constant and accurate time delays. Some previous research on the selection of solar cells as the power supply of IoT devices and the application of the IoT device in the field of water distribution in Tugu Tirta to provide ease and speed to collect water pressure data. According to a survey, IoT devices do not yet have an independent power source, so IoT devices may lose power during a power outage at Tugu Tirta Kota Malang main power source. The results of a solar cell-based power source for a water pressure monitoring system at Tugu Tirta Malang are presented in this research. The results demonstrate that the solar panel power system as the main power plant may be accomplished utilizing the specifications of one 50 WP solar panel and one 20 Ah battery. Perum Bukit Dieng Critical Point may be monitored 24 hours a day, seven days a week utilizing a 20 Ah battery and a 50 WP solar panel. The solar power system can power the monitoring system for 24 hours with an average output power each day of 7.93 Watts, with 3.96 Watts entering the surveillance system and 4.04 Watts going into the battery.
Exploration of IL-32 (rs45499297) gene variations in EBV and MS patients
Authors: Aya R. Abood  , Hula Y. Fadhil
Published: July 2024

Interleukin-32 is a multifunctional cytokine linked to a variety of illnesses and inflammatory disorders, the central nervous system is affected by the chronic inflammatory disease known as multiple sclerosis (MS). Studies about found relationship between them are rare and inconclusive specially when MS patients with Epstein-Barr virus (EBV) positive. Recently, IL-32 identified increase and considers proinflammatory following EBV infection. A case-control study (79 MS patients and 108 controls) for the purpose of investigating T/C genotype of (rs45499297) in all participant then identify their role in MS and EBV patients by Restriction fragment length polymorphism (RFLP) technique. The results appeared that alleles and genotype (rs45499297) was no significant differences between MS patients and healthy controls, also between groups of expanded disability status scale in MS patients but with EBV infection was results appeared that allele C of( rs45499297) more effector in MS patients than controls. The mean of EBV load among multiple sclerosis patients according to sex, EDSS, and therapy line the results revealed that elevated viral load in male, EDSS ≥ 3.0 and in second line therapy compare to opposite groups. In conclusion, the study indicated the role of sex and MS activity in susceptibility to EBV reactivation. However, analysis of the IL-32 gene variants (rs45499297) may influence susceptibility to EBV along with MS associated with the allele C occurrence.
THE INFLUENCE OF SOCIAL MEDIA ON MENTAL WELLBEING – A REVIEW OF LITERATURE
Authors: Natalia Pacocha  , Oliwia Gugała
Published: June 2024

Introduction
Currently, technological advancements have given most people unlimited access to social media. This has both many advantages and disadvantages. Social media significantly facilitate access to information and communication. However, social media can also negatively impact the mental health of the population. The aim of this study is to review the literature to discover the correlation between social media use and its impact on mental health.
Materials and methods
A review of the literature available in the “PubMed” and „Google Scholar” databases was conducted. The search was performed by using the following keywords: social media use, fear of missing out, social media depression, depressive syndromes.
Results
Unrestricted access to social media has become an integral part of human life. This has led to improper use of social media, which can have detrimental effects on mental health. Specifically, it increases the risk of mood disorders, anxiety disorders, and depression. Moreover, it can lower self-esteem and life satisfaction. Additionally, it can foster the development of FOMO syndrome, which intensifies excessive social media use.
Conclusions
Further research on the impact of social media on mental health is crucial to discover effective methods of appropriate social media use. This will help in avoiding mental health disorders associated with social media use.
Mohammad A. Quayum and Md. Mahmudul Hasan (ed.), Bangladeshi Literature in English: Critical Essays and Interviews
Authors: Shamsad Mortuza
Published: June 2024

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Strategies of Translating Phraseological Units (on the Interview of Vladimir Putin to Tucker Carlson)
Authors: Klykova Yulia Yurevna , Shachkova Irina Yurevna
Published: July 2024

The article is devoted to the analysis of the functioning of linguistic units in socio-political texts. The authors of the article are interested in studying phraseological units in political discourse. Phraseologisms as a means of expressing expressiveness and implementing the pragmatic function of language are used by politicians to influence public and personal consciousness and, in some cases, to agitate for action. The aim of the research is to determine the strategies of translating phraseological units used by the Russian President Vladimir Putin in his interview with American journalist Tucker Carlson. In order to achieve this aim we conducted a comparative analysis of the most frequent ways of translating fixed phrases from Russian into English, and we also analysed the problems faced by simultaneous interpreters while translating them. The research was performed by the random sampling technique along with descriptive analysis and contextual interpretation methods. As a result of the analysis, we can make a conclusion that Vladimir Putin’s speech is characterized by national cultural features, abundant use of metaphors, phraseological units and occasional phraseologisms. At the same time, we have identified the most common strategy of translating phraseological units – the phraseological analogy, which makes it possible to identify translation equivalents that are different in form and image, but similar in content and meaning for the recipient culture.
The role of the technical university in ensuring the personnel sovereignty of enterprises and the professional implementation of engineers
Authors: Sannikova Tatyana Dmitrievna , Aksenova Zhanna Nikolaevna
Published: July 2024

The work is devoted to the study of the problems of forming a full-fledged set of competencies of engineers, contributing to their professional implementation and ensuring the personnel sovereignty of domestic enterprises. The necessity of participation in the training of engineering personnel of enterprises of the real sector of the economy, especially the high-tech sector, is substantiated. The role of integration of technical universities and enterprises in the process of personnel training to ensure technological and personnel sovereignty of the Russian industry is shown. The personnel sovereignty of the Russian economy is impossible without attracting a sufficient number of highly qualified specialists who have received education in relevant, practice-oriented programs that include not only basic knowledge, skills and training skills, but also "soft" skills that allow you to choose and apply successful behavioral and communication strategies in various production situations. The main factors that need to be guided by when building an effective system for training engineers are identified. Underestimation of these factors, leading to the exclusion of disciplines such as business planning, resource management, and business communications from the educational programs of technical universities, reduces the effectiveness of training graduates who replenish the personnel corps of enterprises, therefore, special attention is paid in the article to the problem of forming a set of competencies of engineers that contribute to their professional implementation and, ultimately, ensuring human resources the sovereignty of the high-tech sector of the economy.
The students’ main problems in using multimedia resources for learning a foreign language
Authors: Kordon Tamara Anatol'evna
Published: July 2024

The work reveals to the study of the students’ main problems coming by using multimedia resources to learn a foreign language. the research actuality is determined by the requirements of modern educational standards for foreign language proficiency as an integral part of successful professional activity in modern society. the article analyzes the works reflecting the most relevant topics and problems related to the use of multimedia in teaching foreign languages. they are important for generalizing existing pedagogical experience. the method of questioning and correlation analysis of the obtained data was used in the study. the author adheres to a communicative approach and pays special attention to the development of foreign language communicative competence of non-linguistic faculties students of the universities. the article presents the results of a survey of students ‒ future teachers studying at the yakovlev’s university. the content of the special course program on the use of multimedia resources for learning a foreign language is proved and it should include thematic blocks aimed at increasing motivation, solving language problems and improving skills in working with multimedia resources.
Определение количественного содержания аскорбиновой кислоты в растениях флоры Центрального Казахстана
Authors: Левая Я.К. , Атажанова Г.А. , Курмантаева Г.К.
Published: June 2024

В последние годы количественный анализ аскорбиновой кислоты (витамина С) вызывает все больший научный интерес в области биохимии, медицины, фармацевтического производства и производства пищевых продуктов в связи с тем, что витамин С играет важную роль в поддержании здоровья человека. Существует множество методов определения витамина С: спектрофотометрические, неспектрофотометрические, ВЭЖХ, титрование, ферментативный метод и флуорометрия. Нами проведено количественное определение аскорбиновой кислоты в высушенном растительном сырье Fragaria vesca L., листья; Rubus saxatilis L., листья и плоды; Juniperus sabina L, листья; Ribes L., листья, и Pinus sylvestris L методом кислотно-основного титрования 0,1М раствором NaOH. Было установлено, что исследуемые растения являются богатыми источниками аскорбиновой кислоты (витамина С). Исходя из результатов титриметрического анализа по определению содержания аскорбиновой кислоты, можно выявить ряд растений, которые могут быть потенциальными кандидатами для прохождения скрининга на антиоксидантную активность.
Изучение антиоксидантной активности растительных метаболитов и композитов на их основе
Authors: Сапиева А.О. , Зейнульдина А.С. , Габбасова А.М. , Казбекова А.Т. , Сейтембетов Т.С. , Адекенов С.М.
Published: June 2024

Одной из актуальных проблем при разработке современных лекарственных препаратов является приготовление водорастворимых форм субстанции, разработанных на основе растительного сырья. В работе изучена антиоксидантная активность in vitro растительных терпеноидов, флавоноидов и соответствующих композитов на их основе. В результате выполненных исследований нами установлено, что относительно высокую антиоксидантную активность in vitro проявил композит Pb/SE, содержащий в своем составе флавоноид пиностробин, а также сумму экстрактивных веществ солодки голой. Данный результат может быть обусловлен антиоксидантным эффектом флавоноида пиностробина, который содержится в исследованном композите. Механизм может заключаться в протекании процесса связывания свободных радикалов и хелатированием металлов переменной валентности, что способствует ингибированию перекисных процессов. Следует также отметить, что композит Leu/PVP (леукомизин/поливинилпирролидон), проявивший антиоксидантный эффект, менее выражен по сравнению с антиоксидантным свойством композита Pb/SE.
Арыс өзені алабы геожүйесінің ландшафттық-құрылымдық ерекшеліктері
Authors: Мусабаева М.Н. , Шулгаубаев Е.К. , Абиева Г.Б.
Published: June 2024

Мақалада қазіргі геожүйелер құрылымының қалыптасуына қоршаған орта жағдайлардың ұзақ уақыт бойы өзгеру үдерістері әсер етсе, ал қазіргі кезде шаруашылықты пайдаланудың үнемі ұлғаюымен байланыстырылады. Сонымен қатар климаттың өзгеруі, қалалардың көбеюі, табиғи ландшафттардың азаюы, жерүсті және жерасты суларының ластануы сияқты жаһандық геоэкологиялық проблемаларының артуы, өзен алаптарындағы қоршаған ортаны басқарудың ғылыми негізделген іс-шаралары мен бағыттарын айқындау мәселесін талап етеді. Геожүйе қазіргі уақытта география ғылымында маңызды бағыт ретінде орнықты. Алайда геожүйелік көзқарастың даму аясында ғылым енді ғана өріс алуда. Бұл қоғамның табиғатпен белсенді араласуына ықпал етуге шақырылған болжамдық географияның алдына қойылған міндеттерді зерттеу кезінде геожүйенің көп қиындықтарға ұшырайтындығымен түсіндіріледі. Әсіресе бұл, оларды ландшафттық-гидрологиялық көзқарас тұрғысынан зерттеу жемісті болып табылатын ішкі тұйық аумақтардың түрлі өзен алаптарына қатысты. Ішкі континенталдық құрғақ аумақтарды зерттеуде геожүйелік-алаптық көзқарас (әдіс) геожүйелік және гидрологиялық деп аталатын екі ғылыми бағыттардың артықшылықтарын байланыстыру жолында түрлі рангалы геожүйелерді кешенді аймақтық зерттеу үшін алғышарттар жасайды. Мұндағы гидрологиялық әдіс деп тек жерүсті ағындысын талдау мен есептеу немесе болжауды ғана емес, сонымен бірге қозғалыстағы су ағынынан пайда болатын табиғи процестерді де (тасындылар, еріген химиялық заттар және биоталар ағындысы, т.б.) талдауды түсіну қажет. Геожүйе, ғылыми бағыт ретінде табиғи ресурстардың жаратылыс әлеуетін тиімді пайдаланудың басты мәселелерін шешуде елеулі үлес атқарады. Табиғи ортаның құрам бөліктерінің үдемелі өзгерісін зерттеуге, кешендік геожүйелік-алаптық көзқарасты жасау және іске асыру, біртұтас географиялық кеңістік талаптарына сәйкес келуі керек. Географиялық кеңістікті зерттеуде геожүйелілік көзқарасқа деген ұмтылыс, география ғылымының тарихында бұрынырақта пайда болған. Қазіргі уақытта ландшафттардың жүйелі ұйымдастырылуын зерттеу геоэкологияның, табиғатты тиімді пайдаланудың қажеттіліктерімен анықталатын болжау мен үйлестіру мәселелерін шешуге бағытталған
Research on Botrytis cinerea-caused gray rot disease in strawberries with Carpathian genus bees and entomovector technology
Authors: Ismagulova A.B. , Spanbaev A.D. , Tulegenova Zh.A. , Arystanbay A.A. , Bukabayeva Zh.T.
Published: June 2024

Gray rot is a widespread disease that is harming a lot of cultivated plants worldwide. It seriously impairs the strawberry industry's profitability by causing harm to the crop both during and after harvest. The article describes how biocontrol tests were conducted against the gray rot disease that affects strawberry plants, with the use of entomovector technology that uses biopreparations and bees. As a consequence of the study of the disease of gray rot of strawberries caused by the fungus Botritis cinerea with entomovector technology, the fight against the disease is carried out. Carpathian genus pollinating bees are employed as an entomovector agent during the investigation. They are members of a widely distributed bee order, and before this study, there was ample evidence that they boost production through plant pollination. The pathogen Gliocladium catenulatum, which is the basis for the medicine Prestop-Mix, as well as Trichoderma asperellum Botrytis cinerea identified from local soil, are suppressed by the drug as a biopreparation, according to research using entomovector technology. The article presents the results of a study of the disease of gray rot in experimental areas of strawberry fields in the Eastern region, caused by the fungus Botritis cinerea, using entomovector technology. By comparing the results with control options, it was determined that using Carpathian bees to apply biofungicide is one of the most efficient ways to combat gray rot damage to strawberry plants. Dispensers were placed in specially designed apiaries. During an investigation into the battle against Gray rot disease in Symphony strawberries cultivated in dedicated research areas, the impact of fruit weight following pollination as well as the effect of both pollination and the biocontrol agent on overall weight were discovered. Both the quantity of strawberry blooms and fruit production are rising. The study's findings demonstrated that one of the best strategies for preventing gray rot damage to strawberry plants is to employ biofungicide in conjunction with Carpathian genus bees. However, weather conditions will directly affect how successful control efforts are.
Antimicrobial activity of fungal extracts identified from thirty-two lichen species
Authors: Mamytbekova G.M. , Shevtsov V.A. , Kataeva O.A. , Serikbay G , Suleimen Ye.M.
Published: June 2024

The isolation of fungi from lichens, the study of their properties and the determination of their biological activity make an actual contribution to the production of a new antibiotic by the pharmaceutical industry. During the research, 22 lichen samples were collected. When determining the type of lichens, the characteristics of their growth were taken into account and the morphological identification was made according to the description of the monograph by Wang (2012). 19 fungal isolates were isolated from the core apothecia of lichen samples. Purified isolates were identified by detecting fungal DNA using PCR. These isolates were saprophytes, phytopathogens, pathogens of endolichaine and symbiotic fungi. The antimicrobial properties of 19 species of identified fungi were determined against strains of Escherichia coli 25922 B-RKM 0447, Staphylococcus aureus 6538 — RKM 0470, Serratia marcescens В-RKM 0832 and antifungal activity against Candidae albicans 885–653, 8 active types were identified: Chaetomum globosum, Trichoderma atroviride, Fungal sp, Coniochaeta ligniaria, Trichoderma harzianum, Hypocrea lixii, Daldinia loculata, Trichoderma viride, Neurospora tetraspora. The obtained extracts against the strains S. marcescens, E. coli, St. aureus, C. albicans showed an average sensitivity of 15±0.2 – 23±0.5.
Study of the characteristics of soil mixtures obtained by vermicomposting
Authors: Aitkulov A.M. , Nalivkina V.A. , Kruznov I.N. , Baydosova A.A.
Published: June 2024

Vermicomposting is a sustainable and environmentally friendly element of organic waste management. Being a biological processing method involving a complex of soil organisms, vermicomposting requires the selection of conditions for the cultivation of transformer organisms, primarily dung worms (lat. Eisenia fetida). The duration and quality of the formation of the final product are influenced by the physicochemical conditions of worm cultivation, the composition of the starting material, methods of its placement, etc. We studied the influence of the composition of the substrate and the conditions of cultivation of Eisenia fetida on the characteristics of the resulting vermicompost in conditions of laboratory experiment. The biological characteristics of soil mixtures obtained by vermicomposting were studied, taking into account the physicochemical factors (humidity, pH, temperature) of their formation. It has been shown that the composition of the mixture significantly affects the characteristics of the vermicomposting process and the biological properties of the resulting product.
Subjective features awareness of psychotraumatic experience
Authors: Popeliushko Roman
Published: July 2024

The proposed topic is very relevant, as a significant number of people around the world, and in modern Ukraine in particular, are faced with psychotraumatic events such as wars, natural disasters and violence. This creates the need to investigate this problem in order to provide adequate care. Understanding the subjective characteristics of the perception of psychotraumatic experiences helps to develop more effective methods of support and assistance that take into account the individual needs of each person. Traumatic experiences can leave long-term effects, such as post-traumatic stress disorder, depression and anxiety. The study of the subjective awareness of psychotrauma is important for the prevention and treatment of these mental conditions. And finally, perception and awareness of psychotraumatic experiences may vary depending on cultural, social and gender contexts. Detailed study of these factors contributes to the adaptation of approaches to care and treatment, providing more effective support for different groups of people.
The main reasons for the relevance of this topic are also the widespread distribution of psychotraumatic experiences, the need to develop individual approaches to help, awareness of long-term consequences and the need to take into account cultural and social differences in the treatment process.
The article analyzes the subjective features of awareness of a psychotraumatic experience, which can negatively affect a person's mental health, well-being, and quality of life. The purpose of the article is to find out and understand what are the characteristics of the personality that influence the perception and reaction to psychotraumatic experiences. Methods of prevention of subjective features of awareness of traumatic experience are determined.
Neonatal deaths from preventable causes in a centraleastern Brazilian capital from 2015 to 2018
Authors: Modes Priscilla Shirley Siniak dos Anjos , Gaíva Maria Aparecida Munhoz , Santos Carla Alexandra de Souza , Raia Vanessa de Almeida
Published: July 2024

Objective To analyze the evolution of neonatal deaths due to preventable causes in a capital city of the Brazilian center-west region from 2015 to 2018. Methods This descriptive and retrospective study analyzed preventable neonatal deaths occurring in Cuiabá (MT) using data from information systems. Deaths were classified according to the list of preventable causes of death after interventions carried out in the Unified Health System were then analyzed by descriptive statistics. Results A total of 331 neonatal deaths were identified; of these, 245 (74.0%) would be avoidable with adequate attention in the Unified Health System. The preventable neonatal deaths were due to inadequate care for women during pregnancy (132; 54.0%), inadequate care for fetuses and newborns (76; 31.0%), and inadequate care for women during childbirth (34; 13, 9%). Conclusion In the capital studied, preventable neonatal mortality remains high and requires investment to improve Health Care for this clientele.
PENGARUH MODEL PEMBELAJARAN PROBLEM BASED LEARNING TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA KELAS X SMA
Authors: Anugrah Putri Ananda , Hia Yasifati
Published: July 2024

Tujuan penelitian ini adalah untuk mengetahui apakah terdapat pengaruh model pembelajaran problem based learning terhadap kemampuan pemecahan masalah matematis siswa kelas X SMA. Penelitian ini dilaksanakan di SMA Negeri 2 Bandar. Penelitian ini merupakan penelitian eksperimen semu (Quasi eksperimen) dengan desain penelitian yang digunakan yaitu pretest-posttest control group design yang melibatkan dua kelas sebagai sampel penelitian yaitu kelas X MIPA 3 sebagai kelas eksperimen yang menggunakan model PBL dan kelas X MIPA 4 sebagai kelas kontrol dengan model konvensional. Instrumen tes yang digunakan pada penelitian ini menggunakan tes kemampuan pemecahan masalah matematis yang berjumlah 4 butir soal essay dengan skor maksimalnya 60. Berdasarkan hasil posttest, skor rata-rata pada kelas eksperimen sebesar 49,36 dan skor rata-rata kelas kontrol yaitu 17,5. Berdasarkan hasil uji statistik, data terbukti berdistribusi normal dan homogen sehingga dilakukan uji hipotesis menggunakan uji-t. Hasil dari uji-t menunjukkan bahwa  dan dengan taraf signifikansi 0,05 yang artinya  maka  ditolak dan diterima. Disimpulkan bahwa rata-rata kemampuan pemecahan masalah matematis siswa yang menerapkan model pembelajaran problem based leaning lebih tinggi daripada rata-rata kemampuan pemecahan masalah matematis siswa dengan model pembelajaran konvensional. Ini berarti, terdapat pengaruh model pembelajaran problem based learning terhadap kemampuan pemecahan masalah matematis siswa.
Kombinasi Oversampling dan Undersampling dalam Menangani Class Imbalanced dan Overlapping pada Klasifikasi Data Bank Marketing
Authors: Erlangga Anak Agung Gde Wahyu Sukma , Gunadi I Gede Aris , Sunarya I Made Gede
Published: July 2024

Class imbalance can occur in various types of datasets, one of which is bank marketing datasets. The class imbalance can cause classification problems. To handle the problem, the SMOTE method can be used. However, the application of SMOTE can cause class overlapping and interfere with classification performance. Therefore, this research will try to handle it by combining the SMOTE method with undersampling methods consisting of ENN, NCL, and TomekLink. The classification algorithm used is Logistic Regression and the performance evaluation uses sensitivity, specificity, and g-means of the model. The results show that the SMOTE-ENN combination produces the most optimal results with sensitivity, specificity, and g-means of 94.05%, 83.22%, and 88.47% respectively on bank marketing datasets, while on credit card fraud datasets it has almost uniform results with sensitivity, specificity, and g-means ranging from 88.62%, 97.59%, and 93.00%. Finally, on cerebral stroke datasets, SMOTE-ENN produces the highest sensitivity at 80.1%, the highest specificity on SMOTE-NCL at 75.62%, and the highest g-means on SMOTE at 77.03%.
Implementasi Mesin Cuci Menggunakan Arduino Berbasis Internet of Things (IoT)
Authors: Marlianita Marlianita , Halimatussadiyah RA , Zefi Suzan
Published: July 2024

Teknologi Pengendalian Pengendalian otomatis sudah menjadi elemen penting dalam kehidupan sehari - hari
masyarakat awam. Ini telah menjadi sangat penting dalam kehidupan sehari-hari masyarakat. Dari kehidupan
sehari-hari hingga tempat kerja, teknologi otomasi telah mengubah cara kita dunia berinteraksi dengan dunia
luar. Hal ini memungkinkan efisiensi, keberlanjutan dan peningkatan kualitas hidup. Salah satu kontrol
otomatisasi yang paling umum digunakan adalah Internet of Things ( IoT ). Internet of Things adalah teknologi
baru dengan potensi besar untuk pertumbuhan di masa depan. Sebuah konsep yang dirancang untuk
memaksimalkan manfaat koneksi internet berkelanjutan. Oleh karena itu, dalam penelitian ini penulis
mengembangkan suatu alat yang dapat menunjang pekerjaan manusia dari segi efisiensi waktu dan tenaga.
Mesin cuci ini memanfaatkan IoT (Internet of Things) untuk kontrol otomatis. Implementasi IoT-nya membantu
dalam mengendalikan proses dari jarak jauh tanpa perlu pemantauan terus menerus. Hal ini memungkinkan
operator untuk melakukan tugas lain hingga proses pembersihan selesai. Sistem kerja IoT pada mesin cuci
menggunakan NodeMCU ESP8266 berbasis Arduino IDE sebagai perangkat utama untuk mengontrol perangkat.
NodeMCU ESP8266 dilengkapi dengan input WiFi yang terhubung langsung ke perangkat anda. Selain itu, mesin
cuci juga memiliki tombol manual yang merupakan cara alternatif untuk mengontrol mesin cuci saat WiFi
tidak berfungsi.
Kata Kunci : Internet of Things (IoT), Mesin Cuci, Blynk.
Impact and audience of an online dictionary of the emerging language in social media
Authors: Rico Sulayes Antonio
Published: July 2024

Introduction: Beyond the difficulty in producing a dictionary with novel and valuable content that attracts users, disseminating it online is a challenge in itself. This article shows the issues and achievements in the construction and online dissemination of ERES | Diccionario del Español Especializado en Redes Sociales. Methodology: Through a differential approach, including terms that are not contained in general dictionaries, ERES targets words in various disciplines, as well as words often labeled as colloquial, slang or vulgar. The dictionary has its own website, hosted in a dedicated server and domain, with desktop and mobile interfaces. Results: Currently, the dictionary has 821 entries, 1.082 senses, and 1.368 examples. The website gets users from all Spanish-speaking countries and other countries with numerous speakers of Spanish as an L1 or L2. Conclusions: Despite of its diverse, international audience – the US is the second country with the most users – positioning the dictionary is search engines remains a challenge that has to be constantly addressed.
The Transfer Theory Application in the Thermal Insulation Materials Durability Research
Authors: ANIKANOVA T.V. , POGROMSKY A.S. , PAVLENKO N.V.
Published: July 2024

To ensure a sufficient level of thermal protection of buildings in accordance with Federal Law 261-FZ, mass heat insulation of newly erected and existing buildings began after 2009. The issues of changing the performance indicators of thermal insulation materials over time from the standpoint of energy efficiency of buildings are of great interest. The paper considers the issues of durability of insulation used in different regions of Russia. It is proposed to use an equation based on the theory of transfer for a comparative analysis of the performance indicators of thermal insulation materials. The proposed equation makes it possible to analyze data obtained by different authors using various research methods (laboratory experiments, field tests, forecasting properties using computer modeling). Using the transfer theory, changes in the coefficient of thermal conductivity and strength of heat insulation materials are investigated based on the results of studies of materials in a climate chamber and computer modeling. It has been established that the initial rates of change processes in strength and thermal conductivity coefficient have the same orientation for the data obtained by different authors, however, in absolute values the results differ significantly from each other, perhaps this is due to the inaccuracy of the initial data. In further work, it is proposed to conduct full-scale thermal imaging studies of materials, which will make it possible to adjust the values of the initial velocity and braking coefficient for different materials, taking into account climatic conditions. The calculated values of the initial velocity and the braking coefficient of the process will make it possible to predict with high accuracy the change in the operational parameters of the material over time.
Dates Pits Activated Carbon as Cheap Sorbent for the Decontamination of the Cadmium Ions in Battery Mills Wastewater
Authors: Khalaf Haya Kahtan , Rashid Hayder M.
Published: June 2024

In the current study, a novel date pit activated carbon, an environmentally friendly adsorbent, was, chemically activated by phosphoric acid, and employed as a bio-sorbent for Cd2+ adsorption from a simulated polluted solution. Utilizing a variety of characterization techniques, the surface morphology and functional groups of manufactured activated carbon and raw date pits are identified. The prepared activated carbon had an adsorption surface area and pore diameter values of 1700 m2/g and 3.78 nm, and this indicated the greatest increase in surface area. The effect of pH, initial Cd2+ concentration, contact time, and operating temperature on Cd2+ removal by date pit activated carbon was studied. A higher Cd2+ adsorption capacity of 48.34 mg/g was attained for a contact time of 240 min, initial concentration of 100 mg/L, and pH of 6 at 30 °C. The efficacy of Cd2+ adsorption on date pit activated carbon improved as the initial pH of the adsorbate increased to 6 and Cd2+ concentration decreased. At a given temperature of 30 °C, the Freundlich isotherm demonstrated to be the most adaptable one, indicating multilayer coverage with a 41.15 mg/g maximum adsorption capacity. For sorption favorability, the separation factor has been within the range of 0.001 to 0.003. Subsequently, the results demonstrated that the removal efficiency was adversely impacted by the rise in treatment temperature from 30 to 40 °C.
Rock Typing and Flow Unit Identification in the Upper Cretaceous Carbonate Reservoirs in Jambur Oil Field
Authors: Amin Nazaneen S. , Al-haleem Ayad A.
Published: June 2024

The effectiveness of dynamic models in field development and predicting future reservoir performance depends on the accuracy and reliability of geological models. These models are constructed based on an accurate categorization of reservoir rock types and the identification of flow units. understanding the geological structure, lithological characteristics, and depositional processes is crucial in differentiating rock types and determining flow units within strata. This study focuses on identifying rock types and flow units within the upper Cretaceous reservoir/Qamchuqa formation of the Jambur oilfield. By employing four petrophysical techniques across six wells, it was determined that the Rock Fabric Number technique and the Winland porosity-permeability relation were insufficient for accurately estimating permeability, primarily due to constraints in regression analysis. The classification of flow zone indicators resulted in the identification of five distinct rock classes that offer a more reliable means of assessing permeability in intervals lacking core data. Subsequently, the cluster analysis process sorted the reservoir rock into cohesive groups based on the raw log data and calibrated it with the Flow Zone Indicator (FZI) method. In conclusion, permeability can be determined through equations derived from the FZI method, and the establishment of petrophysical characteristics within a geological model can be achieved by utilizing rock facies derived from cluster analysis.
Gas Lift Optimization for Zubair Oil Field Using Genetic Algorithm-Based Numerical Simulation: Feasibility Study
Authors: O. Al-Mansory Saad Hazem , Al-Fatlawi Omar , Kadkhodaie Ali
Published: June 2024

The gas-lift method is crucial for maintaining oil production, particularly from an established field when the natural energy of the reservoirs is depleted. To maximize oil production, a major field's gas injection rate must be distributed as efficiently as possible across its gas-lift network system. Common gas-lift optimization techniques may lose their effectiveness and become unable to replicate the gas-lift optimum in a large network system due to problems with multi-objective, multi-constrained & restricted gas injection rate distribution. The main objective of the research is to determine the possibility of using the genetic algorithm (GA) technique to achieve the optimum distribution for the continuous gas-lift injection flows in the structure of the network of Zubair, oil field with 10 gas-lift injected wells. This will be done through numerical simulation and modeling studies. The overall enhancement of the filed production rate is found to have increased from 15767 STB/day to 19847 STB/day. The well's reservoir pressure and water cut sensitivity studies are carried out to study the possible impacts of these elements upon the well and its efficiency through the course of the field. Our understanding of the potential benefits of utilizing gas lift techniques in a field from a technical and economical point of view is deepened by the use of examples from economic analysis. Furthermore, even though the idea of employing GA in this manner is not new, this work discusses GA-based optimization methodologies for increasing the oil production rate by using gas lifting in a Zubair oilfield. In order to assign gas injection rates to specific wells in a network throughout the field using limited gas injection rates, the model for optimization will be laid out step-by-step making it simple to understand and employ as a guide, especially for the front-line production technicians involved in the development and design of gas-lift systems.