bluuebunny/crossref_metadata_2025_split huggingface dataset:
АНАЛИЗ ГИБРИДНЫХ АЛГОРИТМОВ ОБНАРУЖЕНИЯ ВТОРЖЕНИЙ
Authors: Золотарев А.И. , Сидоркина И.Г. , Смирнов В.И. 
Published: February 2025

В статье представлены результаты исследований существующих гибридных алгоритмов обнаружения аномалий в сетевом трафике. Были выделены основные критерии оценки таких алгоритмов. Был предложен оригинальный подход для разработки гибридного алгоритма обнаружения аномалий в сетевом трафике, отличающийся от известных большей точностью обнаружения, меньшим процентом ложных тревог, способный работать в режиме реального времени, а также не требующий тонкой настройки при введении в эксплуатацию.
Introduction. Hybrid algorithms are often used to improve the accuracy of anomaly detection and to reduce false alarms. A hybrid algorithm is an algorithm that combines two or more different algorithms that solve the same problem by choosing one or switching between them during the program operation. However, they require large computational resources, and consequently, this can reduce the effectiveness of online detection. In addition to this, they show controversial test results on different datasets, resulting in variability in false alarms and detection accuracy. The aim of the research is to develop an approach for implementing the hybrid algorithm, which differs from the known ones by a higher detection accuracy, a lower percentage of false alarms, and capability of operation in real time. The following hybrid algorithms for detecting network anomalies were picked for the analysis: an algorithm based on a voting system; combination of clustering and the k-nearest neighbor algorithm; combination of auto encoder and k nearest neighbor graphs. To study hybrid algorithms for detecting network anomalies, we identified the following evaluation criteria: accuracy - the ratio of correctly detected anomalies to the sum of correctly detected anomalies and errors of the second kind; fullness - the ratio of correctly detected anomalies to the sum of correctly detected anomalies and errors of the first kind; errors of the first kind - amount of false alarms. There was proposed an original approach to the development of a hybrid algorithm for detecting anomalies. Conclusion. The analysis showed the positive effect of the usage of the hybrid algorithm and the proposed novel approach for its implementation on the efficiency of detecting intrusions or anomalies in network traffic. The necessity and urgency of detecting traffic anomalies in real time was stated. In addition to this, the large spread in the detection accuracy, averaging and the lack of ability of detecting some types of network attacks have proved the urgency of usage of "trainable" algorithms to improve the quality of intrusion detection.
Классификация фрагментов электроэнцефалограммы по степени патологической значимости с помощью последовательных нейронных сетей
Authors: Иванов К.О. 
Published: February 2025

Исследована возможность классификации фрагментов электроэнцефалограммы как элементов нормальной, пограничной и патологической электроэнцефалограммы при помощи последовательных нейронных сетей. Для этого создана новая обучающая база данных, содержащая по 500 фрагментов сигналов нормальной, пограничной и патологической ЭЭГ. С использованием разработанной базы данных поставлен ряд экспериментов по обучению последовательных нейронных сетей с различным количеством слоёв и числом нейронов в слоях, при этом наибольшая точность классификации фрагментов электроэнцефалограммы составила 80,1 %. Для обеспечения возможности запуска и дообучения разработанных нейронных сетей на различных электронных устройствах выполнена реализация алгоритма обратного распространения ошибки.
Introduction. Electroencephalography (EEG) is the primary method for diagnosing the functional state of the human central nervous system. Many conditions, such as epilepsy, brain tumors, cranial and cerebral injuries, vascular diseases, psychiatric disorders, and various forms of encephalopathy, can be reflected in EEG recordings. Despite its widespread use, EEG analysis is still mostly conducted visually by experienced clinicians, which is time-consuming and subjective. The need for more efficient and reliable EEG analysis has led to the development of decision support systems that use artificial intelligence technologies for EEG pattern classification. Neural networks have proven to be particularly effective in achieving high classification accuracy in many applications. The aim of this paper is to enhance the efficiency of automatic electroencephalogram (EEG) classification based on pathological significance through the application of artificial intelligence methods, particularly sequential neural networks. To achieve this goal, the following objectives are addressed in the study: 1) a review of computational EEG analysis methods; 2) creation of a training database of EEG fragments, including a sufficient number of normal, borderline, and pathological EEG signals; 3) implementation of a neural network training algorithm; 4) examination of the effect of sequential neural network parameters on the accuracy of EEG fragment classification. Results. A new training database consisting of 500 EEG fragments, including normal, borderline, and pathological signals, was created. The database was used to train sequential neural networks with varying numbers of layers and neurons, resulting in the highest classification accuracy of 80.1 %. The error back propagation algorithm was implemented to allow the developed neural networks to be run and retrained on various electronic devices. The practical value of this work lies in the reduction of speculative operations performed by neurophysiologists and the provision of a more objective, qualitative, and faster intellectual EEG analysis when used in medical decision support systems.
Влияние температурных изменений на адгезионные свойства структуры «кремний–эпоксидный компаунд»
Authors: Могильная Т.Ю. , Жуков А.А. , Вялов А.И. , Пагава Л.Л. , Петелин Н.А. 
Published: February 2025

Рассмотрены вопросы применения эпоксидного компаунда с наполнителем SiO2 для изготовления кремниевых многослойных структур с применением системы «кремний–эпоксидный компаунд». Построена математическая модель распределения напряжений на границе раздела. Расчёты показали, что, при изменении температуры выше 120 °С и ниже -60 °С, структура перестает удовлетворять предъявляемым требованиям. Предложено компенсировать избыточное напряжение за счёт нанесения наноплёнок на границы раздела материалов.
Introduction. The development of microelectronics is driven by the need to reduce the weight and size of electronic components while increasing their functionality. This is achieved through stacked micromodules, where small silicon crystals are mounted one above the other in a multilayer block, forming a complete functional system that is then encapsulated with specialized polymeric materials. The materials used in micromodules must possess properties that enable their reliable operation in a wide temperature range, spanning from -150°C to +150°C. Therefore, the development of materials with suitable properties that can withstand the operating conditions in this range is essential. The objective of this study is to investigate the properties of the "silicon-adhesive" structure for stacked microelectronic systems across a wide temperature range. Findings.This study examined the use of an epoxy compound with a SiO2 filler in the production of multilayer structures based on a silicon-epoxy compound. A mathematical model was constructed to analyze the stress distribution at the interface. Conclusion. Our calculations revealed that the structure fails to meet the requirements when subjected to temperature changes exceeding 120°C and falling below -60°C.
АНАЛИЗ ВИДОВОГО СОСТАВА КОЛЛЕКЦИИТРАВЯНИСТЫХ РАСТЕНИЙ ОТКРЫТОГО ГРУНТА БОТАНИЧЕСКОГО САДА-ИНСТИТУТА ПОВОЛЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНОЛОГИЧЕСКОГО УНИВЕРСИТЕТА
Authors: Окач М.А. , Мухаметова С.В. 
Published: February 2025

Приведена краткая история лаборатории интродукции и акклиматизации травянистых растений Ботанического садаинститута, описаны природные и климатические особенности района интродукции. Проведён таксономический, географический, экологический и биоморфологический анализ 159 видов и природных форм растений открытого грунта коллекции Декоративных травянистых многолетников. Установлено процентное соотношение семейств в коллекции. Выявлено, что большая часть ареалов изучаемых видов расположена на территории Бореального подцарства (48). Самым многочисленным экологическим комплексом оказался горный, на его долю приходится 45 всех изучаемых видов. Биоморфологический анализ выявил преобладание в коллекции криптофитов и гемикриптофитов (92). Определены перспективные группы растений для дальнейшей интродукции.
The goal of the research is to analyze the species composition of the Decorative Herbaceous Perennials collection of the laboratory of Introduction and Acclimatization of Herbaceous Plants of the Botanical GardenInstitute of Volga State University of Technology (YoshkarOla, Mari El Republic) on the taxonomic, geographical and ecological principles. The object of the research were 159 species and natural forms of openground herbaceous plants of the Decorative Herbaceous Perennials exposition, including Astilbe, Heuchera, Dahlia, Gladiolus, Iris, Hemerocallis, Allium, Narcissus, Paeonia, Tulipa, Phlox, Lilium family groups, and thematic collections of Ground Cover Plants and Less Common Decorative Perennials. Results. Among the studied families, the most numerous are the representatives of Alliaceae (21), Crassulaceae (10), Asteraceae (9), Hyacinthaceae (8), Iridaceae (8), Ranunculaceae (6), Rosaceae (5) families. Most ranges of the studied species are located in the territory of the Boreal phylum (48). Analysis of distribution of the species by ecological complexes revealed that the number of forest plants was the fewest one (10), but the number of the species of the mountain complex was the highest one (46). The share of steppe and azonal species is 25 and 22, respectively. Biomorphological analysis revealed the prevalence of cryptophytes and hemicryptophytes in the collection (92).Conclusion. A taxonomic, geographical, ecological and biomorphological analysis of the species and natural forms of open ground plants of the Decorative Herbaceous Perennials collection was carried out. The promising groups of plants for further introduction were defined.
TỔNG QUAN VỀ HỆ THỐNG NHẬN DIỆN THƯƠNG HIỆU CỦA CÁC ĐẠI HỌC VÙNG Ở VIỆT NAM HIỆN NAY
Authors: Trung Võ Quang 
Published: February 2025

TÓM TẮT
Xây dựng nhận diện thương hiệu ngày nay không chỉ dành cho các doanh nghiệp trong kinh doanh sản phẩm mà còn mang tính cấp thiết đối với cả trong lĩnh vực giáo dục đào tạo. Việc tạo dựng hệ thống nhận diện thương hiệu có thể xem là một trong những mục tiêu quan trọng trong giáo dục để tạo nên thương hiệu đặc thù tại các đơn vị Đại học Vùng như hiện nay.
Bài viết này nhằm mục đích giới thiệu các yếu tố trong thiết kế đồ họa như: màu sắc, hình ảnh, chữ, kết cấu bố cục và một số bước xây dựng hệ thống nhận diện thương hiệu để góp phần hỗ trợ cho hoạt động quảng bá Đại học Vùng ở Việt Nam bao gồm các bước sau: (1) Nhận diện cốt lõi, (2) Nhận diện văn phòng, (3) Ấn phẩm marketing, (4) Nhận diện sản phẩm, (5) Nhận diện tại địa điểm bán, (6) Nhận diện trên Internet, (7) Nhận diện môi trường. Từ đó, đánh giá chung về hệ thống nhận diện thương hiệu và định hướng giải quyết các vấn đề cho hệ thống nhận diện thương hiệu của các Đại học Vùng ở Việt Nam.
EFL LECTURER’S NEGATIVE EMOTION REGULATION IN THE CLASSROOMS: A CASE STUDY AT A UNIVERSITY IN VIETNAM
Authors: Thuỳ Ngô Thị Cẩm , Hương Lê Phạm Hoài 
Published: February 2025

EFL university teachers' emotions are directly influenced by students’ behaviours in the classroom. Thus, practicing emotion regulation is considered to support teachers to achieve their professional objectives and effective teaching. In this case study, the negative emotions associated with classroom teaching experienced by an EFL university lecturer due to students’ behaviors were video recorded. Espisodes in which the lecturer expressed anger, irritation, disspointment and negative emotions were analyzed, followed by the recalled reflections by the EFL lecturer via stimulated recall interview and journal writing. The findings indicate the EFL lecturer's negative emotions came from student-related factors such as lack of discipline or engagement in the lessons. For emotion regulation, it was found that the lecturer applied cognitive awareness in applying the attention direction strategy and the appraisal strategy to address the negative emotions while teaching. From the findings, implications are put forward for EFL lecturers to regulate their negative emotions for better English language teaching.
The Umru’ul-Qais Flirtation Stanzas to Unaizah in the Poetry Al-Mu'allaqat (Michael Riffaterre's Semiotic Analysis)
Authors: Sudarmawan Habib Muharrom , Adelawati Munzila 
Published: February 2025

Al-Mu'allaqāt is the most famous Arabic poem of the pre-Islamic period. Al-Mu'allaqat often uses flirting as one of its themes, and Umru’ul-Qays' al-Mu'allaqat is no exception. It is addressed to his lover, Unaizah. It is often regarded as an expression of the poet's love for his beloved, but like any other poem, the flirtation stanzas in Umru'ul-Qays' al-Mu'allaqat also expresses meaning in the indirect ways. The purpose of this study is to determine the meaning of Umru'ul-Qays' flirtation stanzas in Al-Mu'allaqat. This research applies Michael Riffaterre's semiotic theory and implements his methods, such as heuristic reading, hermeneutic reading, searching for matrix, model, variant, and hypogram. The data source is the flirtation stanzas to Unaizah in the poetry Al-Mu'allaqāt by Umru’ul-Qays. This research is to understand the meaning and social context of Arabic literary works, as well as to dissect the variations of the sayings used by Umru'ul-Qays for Unaizah, which reflect the unrequited love between the two. The results of this research are that the flirtation stanzas in Al-Muallaqat by Umru’ul-Qays also expresses meaning in an indirect way. This poem also describes Umru'ul Qays' deep love even though he was rejected many times.
DOS HEMISFERIOS: REBRANDING STRATEGY for a NASCENT ECUADORIAN WINE MARKET
Authors: Massoud Jacob A. , Saboorideilami Vafa 
Published: February 2025

The Ecuadorian winery, Dos Hemisferios, had started as a hobby in 1999 but quickly grew into a business and passion for the Wright family. After receiving an international award in 2009 for its cabernet sauvignon-malbec blend called Paradoja, the winery realized its potential and decided to expand its vineyards and production of wines. As part of the strategy to increase sales, Robert Wright, the Dos Hemisferios President, and his father, Guillermo Wright, developed a rebranding proposal for the next board of directors meeting. This rebranding initiative hinged on the belief that people in the Ecuadorian wine market did not know much about wine. To address this issue, they decided to be more specific regarding what each of the Dos Hemisferios brands represented and to whom each would be sold. Additionally, Quito represented the largest wine market in Ecuador. However, the market posed several challenges, including a lack of awareness about Ecuadorian wines at bars, restaurants, cafés, and hotels, and an unwillingness to try Ecuadorian wines. Robert understood that overcoming this negative mental paradigm and creating awareness about Ecuadorian wines would be critical for Dos Hemisferios moving forward. Robert wondered if the rebranding proposal they had prepared would be effective.
Inferring transmission risk of respiratory viral infection from the viral load kinetics of SARS-CoV-2, England, 2020 to 2021 and influenza A virus, Hong Kong, 2008 to 2012
Authors: Jonnerby Jakob , Fenn Joe , Hakki Seran , Zhou Jie , Madon Kieran J , Koycheva Aleksandra , Nevin Sean , Kundu Rhia , Crone Michael A , Pillay Timesh D , Ahmad Shazaad , Derqui Nieves , Conibear Emily , Varro Robert , Luca Constanta , Freemont Paul S , Taylor Graham P , Zambon Maria , Barclay Wendy S , Dunning Jake , Ferguson Neil M , Cowling Benjamin J , Lalvani Ajit ,   on behalf of the ATACCC Study Investigators
Published: February 2025

Background
Infectiousness of respiratory viral infections is quantified as plaque forming units (PFU), requiring resource-intensive viral culture that is not routinely performed. We hypothesised that RNA viral load (VL) decline time (e-folding time) in people might serve as an alternative marker of infectiousness.

Aim
This study’s objective was to evaluate the association of RNA VL decline time with RNA and PFU VL area under the curve (AUC) and transmission risk for SARS-CoV-2 and influenza A virus.

Methods
In SARS-CoV-2 and influenza A virus community cohorts, viral RNA was quantified by reverse transcription quantitative PCR in serial upper respiratory tract (URT)-samples collected within households after an initial household-member tested positive for one virus. We evaluated correlations between RNA VL decline time and RNA and PFU-VL AUC. Associations between VL decline time and transmission risk in index-contact pairs were assessed.

Results
In SARS-CoV-2 cases, we observed positive correlations between RNA VL decline time and RNA and PFU VL AUC with posterior probabilities 1 and 0.96 respectively. In influenza A cases a positive correlation between RNA VL decline time and RNA VL AUC was observed, with posterior probability of 0.87. Index case VL decline times one standard deviation above the cohort-mean showed a relative increase in secondary attack rates of 39% (95% credible interval (CrI): −6.9 to 95%) for SARS-CoV-2 and 25% (95% CrI: −11 to 71%) for influenza A virus.

Conclusion
We identify VL decline time as a potential marker of infectiousness and transmission risk for SARS-CoV-2 and influenza A virus. Early ascertainment of VL kinetics as part of surveillance of new viruses or variants could inform public health decision making.
Uso de Adobe Captivate para la creación de software multimedia interactivo: Un caso de éxito
Authors: Roque-Hernández Ramón Ventura , Juárez-Ibarra Carlos Manuel , López-Mendoza Adán 
Published: February 2025

En este artículo se describe el uso del software Adobe Captivate por alumnos de la Universidad Autónoma de Tamaulipas en la Fa- cultad de Comercio, Administración y Ciencias Sociales de Nuevo Laredo para el desarrollo de un proyecto tecnológico para el Mu- seo de Historia Natural de Nuevo Laredo. El objetivo era obtener software multimedia interactivo funcional en poco tiempo y con pocos recursos. Los resultados mostraron que fue posible lograr el objetivo planteado con facilidad. El grado de interactividad y el nivel multimedia que contenían las aplicaciones desarrolladas fueron altos. La percepción de los estudiantes fue positiva. La pro- puesta de los autores es incluir Adobe Captivate como herramienta de apoyo para crear materiales multimedia interactivos en los cursos universitarios a través de estrategias que incluyan: motivación, capacitación, desarrollo, seguimiento y evaluación.
METODE KLASIFIKASI JARINGAN SYARAF TIRUAN BACKPROPAGATION PADA MAHASISWA STATISTIKA UNIVERSITAS TERBUKA
Authors: Hasanah Siti Hadijah , Permatasari Sri Maulidia 
Published: February 2025

Backpropagation Artificial Neural Network (ANN) is an ANN that uses a supervised learning algorithm. The purpose of this study is to determine the parameters and measure the accuracy of the classification accuracy of the student status of the Open University Statistics Study Program. Based on the results, the simulation obtained 15 parameters that can affect student status, including gender, age, education (Senior High School, Diploma, Bachelor, and Magister), marital status, employment status (not working, private employees, entrepreneurs, and civil servants), initial registration year, registration number, semester credit system, and GPA). Meanwhile, for the classification accuracy, the activation function and the learning rate are used minimum mean square of error (MST) on training data. The simulation results are also applied to the testing data with a cut-off point value of 0.3481, so the accuracy of the ROC curve is obtained in the training data for not active students is 99.43% and 99.14% active, while the testing data for not active students is 94.00%. and active 93.94%. So from this research, it can be concluded that ANN Backpropagation is a very good method in applying the classification method.
Penggunaan Aplikasi Duolingo dalam Meningkatkan Kosakata Bahasa Inggris Pada Siswa Di Sekolah
Authors: Rahmawati Lela , Anggrawan Anthony , Hastuti Hilda , Aprianto Dedi , Alfilail Nur 
Published: February 2025

The aim of community service activities is to provide English language training to students at Madrasah Aliyah Negeri Program Keagamaan (MAN-PK) MAN 2 Mataram. This learning training uses the Duolinglo Application. This training or course involves 2 classes of class X students totaling 50 participants in September and November 2024 at MAN PK MAN 2 Mataram. Each group was asked to use the Duolingo application to integrate English learning. This application is a gamification application, meaning users can learn English like playing games because this application uses audio-visual methods in learning. The methods used in this training are lecture, discussion and direct practice. The result of this service activity is that there is an increase in participants' skills and knowledge in speaking and writing using the Duolingo application. The results of evaluation and monitoring by applying the average post-test score show that the average post-test score (72.18) is greater than the average pretest score (35.78). The implications of community service activities can increase students' knowledge of English at school by using the Duolingo application.
Pengaruh Induksi Allopurinol terhadap Gambaran Histopatologi Ginjal Mencit Jantan (Mus musculus) Strain DDY
Authors: Lestari Dian Fita 
Published: February 2025

Asam urat dalam tubuh disintesis dalam hepar dan mengalir melalui darah menuju ginjal. Jumlah asam urat yang berlebih dapat mempengaruhi kinerja fungsi ginjal terutama pada fungsi filtrasi renal, absorbsi dan sekresi. Penggunaan obat allopurinol banyak digunakan masyarakat dalam menurunkan kadar asam urat darah. Tujuan dari penelitian ini untuk mengetahui efek induksi allopurinol terhadap gambaran histologi ginjal mencit jantan (Mus musculus) strain DDY. Metode dalam penelitian ini adalah rancangan acak lengkap dibagi menjadi 4 kelompok masing-masing 4 ekor mencit. Kelompok kontrol (K0) diberi Na-CMC 0,5%, kelompok I, II, III masing-masing diinduksi allopurinol 10 mg/kgBB, 20 mg/kgBB, dan 30 mg/kgBB selama 14 hari. Induksi allopurinol dilakukan dengan cara sonde oral. Berdasarkan hasil penelitian menunjukkan bahwa terdapat kerusakan struktur ginjal berupa pembengkakan sel, nekrosis, hemoragi, kongesti, dilatasi sinusoid, degenerasi hidropis dan infiltrasi leukosit. Semakin tinggi induksi dosis allopurinol yang diberikan pada mencit, maka kerusakan ginjal juga semakin parah. Hal ini menunjukkkan bahwa allopurinol sebagai obat penurun asam urat memiliki efek nefrotoksik.