bluuebunny/crossref_metadata_2025_split huggingface dataset:
ДРОБНО-СТЕПЕННЫЕ СПЕКТРЫ MULTISCROLL-СИСТЕМ С ХАОТИЧЕСКОЙ ДИНАМИКОЙ
Authors: Афанасьев В.В. , Логинов С.С. 
Published: February 2025

Рассмотрены негармонические спектры нелинейной multiscrollсистемы с кусочнолинейной ступенчатой нелинейностью. Эти спектры получены на основе представления реализаций сигналов в виде импульсных случайных процессов. Приведены гистограммы параметров негармонического представления и двухпараметрические спектры сигналов. Выполнена классификация спектров в соответствии с авторской методикой. Определены возможности по различению типов сигналов multiscroll систем.
Introduction. Models of nonlinear systems with a chaotic dynamics describe the electronic circuits of signal generators with a complex structure. Dynamic systems such as Chua, DmitrievKislov, Van der Pol, Duffing and AnischenkoAstakhov have been thoroughly studied by scientists. In the paper, it is proposed to use methods of nonharmonic spectral analysis of multiscroll systems based on their decomposition over monotonic intervals in the basis of nonharmonic fractionalpower functions of time. The aim of the research. The aim of the research is to carry out diagnostics of nonlinear multimode multiscroll (multilobe) systems with regular and chaotic dynamics by means of the generalized method of nonharmonic spectral analysis. Solution methods. A generalized model of signals of nonlinear multiscroll systems with chaotic dynamics is represented as a sequence of consecutive pulses. Nonharmonic spectral analysis of the signals of nonlinear radioelectronic systems was carried out by decomposing the signals, presented in the form of pulsed random processes, according to the basis of fraction power functions of time that is adequate for systems with chaotic dynamics. Math modeling. The spectra, presented in the paper, can be considered as distributed and localized. These spectra exhibit fuzzy spectral lines, in contrast to localized spectra. Peak amplitude values of signals are relatively rare. Analysis of simulation results. Analysis of the multiscroll system signals with the use of the proposed approach showed that their fraction power spectra are fairly well localized by decomposition parameters, that indicates the adequacy of the applied basis to this system. Conclusions. Nonharmonic spectral analysis based on representations of nonlinear systems signals in the form of pulsed random processes with fraction power approximation of the pulses envelope can be an additionally applied to support harmonic spectral analysis. Paper presents the relation of local formations in the obtained fraction power spectra of nonlinear dynamic systems of the multiscroll type with the values of the system parameters and the type of regular or chaotic mode that dominates in the system. Fraction power spectra of multiscroll systems with dynamic chaos are classified as distributed and localized. The relation of the parameters of fraction power expansions of signals with the dynamics of systems serve the basis for diagnosing nonlinear devices and systems with dynamic chaos with a stepwise piecewise linear characteristic of a nonlinear element according to the signals they generate.
СОСТОЯНИЕ И ПЕРСПЕКТИВЫ РАЗВИТИЯ ГЕНЕТИКО-СЕЛЕКЦИОННОГО КОМПЛЕКСА ХВОЙНЫХ ПОРОД В СИБИРИ (НА ПРИМЕРЕ НОВОСИБИРСКОЙ ОБЛАСТИ)
Authors: Зацепина К.Г. , Роговцев Р.В. , Тараканов В.В. , Дубовик Д.С. , Бугаков А.В. , Гончарова Т.В. 
Published: February 2025

Изучено состояние крупнейшего в Сибири генетикоселекционного комплекса хвойных пород Новосибирской области. На основе полученных результатов и обобщения передового опыта в этой сфере предложен ряд общих положений для разработки новых региональных программ по лесному селекционному семеноводству в СФО.
Introduction. For 47 years of largescale implementation of breeding seed production programs in many regions of Siberia, geneticbreeding pools (GBP) of conifers have been created, but their development was stopped in the 1990s. Therefore, there is a need to summarize the accumulated experience and develop the new programs. The purpose of this research is to analyze the state of GBP of coniferous species of Novosibirsk region and to develop the new programs taking into account the latest achievements of forest genetics. Objects and research methods. The structure of the GBP was studied using the available literature data and the stock materials provided by the Ministry of Natural Resources and Ecology of the Novosibirsk Region. Assessment of the condition of objects and measurement of trees was carried out in 2018 using the generally accepted methods. When assessing the area of plantations, the preservation of trees, and the degree of closure of crowns on the plantations of the Elbashi breeding nursery, the satellite data from Pleades with a resolution of 0.5 meters were additionally used. Results and discussion. Novosibirsk region is distinguished with the use of all forestforming conifers in the breeding programs: Pinus sylvestris, Pinus sibirica, Larix sibirica, Picea obovta and Abies sibirica. Among the nature objects that perform the functions of preserving the gene pool in situ, there are 2585 ha of genetic reserves, 130.6 ha of plus stands, and 592 plus trees (PT). Among 225 ha of plantation trees, firstgeneration of forest seed orchards (FSO) and clone archives of plustrees of P. sylvestris and P. sibirica prevail. There are also about 15 ha of the most representative for the Siberian Federal District on the number and age of offspring of test plantation of plus trees and 15 ha of provenance trial plantations of P. sylvestris. The major shortcomings of the objects and the reasons that cause them are identified. The need in forest enterprises for the improved forest seeds is analyzed. The promising modifications of the methods are considered. Conclusion. In connection with the long interruption in the development of forest seed production in Siberia, it is necessary to consolidate the efforts and finances by analyzing the state of the created GBP and by developing the updated programs that take into account the accumulated domestic and world experience in this field. As an example, the fundamental provisions of these programs are formulated, arising from an analysis of the state and the methods used to establish the GBP of coniferous species in the Novosibirsk region.
NHẬN THỨC CỦA GIẢNG VIÊN KHOA TIẾNG ANH, TRƯỜNG ĐẠI HỌC NGOẠI NGỮ, ĐẠI HỌC HUẾ VỀ SỬ DỤNG TÀI LIỆU GIẢNG DẠY KỸ NĂNG NGÔN NGỮ
Authors: Lê Trương Bạch 
Published: February 2025

Nghiên cứu này điều tra nhận thức của gv Khoa tiếng Anh, trường ĐHNN, ĐHH về thực tế sử dụng TLGD kỹ năng ngôn ngữ: vai trò của TLGD, thực tế sử dụng TLGD, khó khăn và những đề xuất. Kết quả từ dữ liệu bản hỏi dành cho gv cho thấy gv nhận thức rất cao về những vấn đề liên quan TLGD. Các gv đã xác định những vấn đề cần khắc phục đối với TLGD các kỹ năng ngôn ngữ hiện đang sử dụng và đề xuất các giải pháp rất phù hợp, liên quan nội dung, độ tương thích về năng lực ngôn ngữ, độ khó của tài liệu so với ngữ liệu các kỳ thi năng lực tiếng Anh bậc 5.
COMMUNICATION IN ENGLISH MEDIUM INSTRUCTION (EMI) CLASSES: AN INVESTIGATION INTO THE USE OF REPETITION STRATEGY FOR MEANING CO-CONSTRUCTION
Authors: Thi Lien Ngo Huong , Ngo Phuong Le Hoang , Van Nguyen Huy 
Published: February 2025

The rising popularity of English-Medium Instruction (EMI) programs around the world has brought people of different linguacultural backgrounds into the same classroom. In such diverse settings, English is employed as a lingua franca (ELF) for academic communication. However, given the disparate levels of English and the academically demanding nature of higher education, many challenges exist that might hinder comprehension and cooperation in the classroom. For this reason, this paper seeks to investigate the use of repetition as a pragmatic strategy to facilitate ELF communication in EMI classes. The data was gathered from six lectures of a Business Administration course taught by an American lecturer to a class of third-year Economics-majored students, all of whom were Vietnamese. The resulting eighteen hours of classroom recordings data were then transcribed and analyzed qualitatively. Findings reveal that various types of repetition were employed to realize seven specific means: highlight key information, organize discourse, elaborate on problematic terms, enhance clariry, show solidarity and alignment, improve mutual intelligibility, and show encouragement. This has pedagogical implications for training programs of both pre-service and in-service EMI lecturers.
Phytoplankton Diversity as a Bioindicator for Coastal Water Quality of Kecinan Beach North Lombok Regency
Authors: Shofiana Dwi Auliya , Candri Dining Aidil , Japa Lalu , Setyaningrum Tri Wahyu , Munawaroh Anggi Nurhardiyanti 
Published: February 2025

Kecinan Beach is one of the beaches on Lombok Island with many tourism activities. The activities in Kecinan Beach can influence the water quality, as the waters may receive waste from surrounding areas, leading to potential pollution or a decline in water quality. Phytoplankton are living organisms that can indicate whether a water body is polluted, which can be marked by changes in the community structure of phytoplankton, particularly in abundance and diversity. Water quality based on phytoplankton diversity as a bioindicator in Kecinan Beach has not been reported. This study was conducted to analyze the water quality of Kecinan Beach based on phytoplankton diversity as a bioindicator. Samplings were carried out in 9 sites in 3 stations during the month of March to June 2024. Samples were collected using a plankton net of 20µm mesh size. Samples were preserved in 4% formalin preservation and laboratory observation was conducted in the biology laboratory of FMIPA University of Mataram. The study identified 56 species from 3 classes, 21 families and 30 phytoplankton genera. The phytoplankton abundance in the coastal waters of Kecinan Beach was 126.667 ind/L. The species dominance index of phytoplankton of coastal waters of Kecinan Beach was 0.258, indicating no species dominance to each other. Rhabdonema arcuatum was identified as the highest (158%) species importance value. The species diversity index of phytoplankton of the coastal waters of Kecinan Beach was a moderate category. Based on the species diversity index, it can be said that the waters of Kecinan Beach are not polluted.
Bioclimatologia, mudanças climáticas e saúde humana: interações na comunicação midiática com base em plataformas de busca
Authors: Lacerda Rúbia Gabriela Ferreira , Almeida Raíssa Moura de , Parente Andressa Tavares , Castro Nádile Juliane Costa de 
Published: February 2025

Este estudo objetivou analisar os seguimentos de matérias jornalísticas veiculadas sobre mudanças climáticas na perspectiva da bioclimatologia da Amazônia brasileira. Trata-se de um estudo documental e exploratório com base nos dados do Google Trends e de portais de notícias, com registro inicial de 1.248 notícias, das quais foram selecionadas 135, distribuídas em 25 veículos de comunicação. Os dados foram analisados por análise descritiva com auxílio do software Iramuteq, a partir da Classificação Hierárquica Descendente. Elencaram-se três eixos: mitigação, adaptação e envolvimento das comunidades; vulnerabilidade social no contexto pandêmico; e bioclimatologia e saúde humana. Os resultados identificaram, no contexto midiático, a maior frequência de notícias sobre mudanças climáticas na Amazônia brasileira associadas com grupos vulneráveis, como povos indígenas, comunidades ribeirinhas e tradicionais, e aqueles situados em zonas periféricas urbanas, demonstrando a importância da comunicação jornalística na formação da percepção pública sobre essas questões.
Analysis of the use of needle thrust bearings in CVT springs on torque and power on motorcycles
Authors: Saputra H D , Setiawan M Y , Putra D S , Purwanto W , Wagino W , Arif A , Afrizal W , Wahyudi R 
Published: February 2025

Several studies have been conducted on methods to enhance the torque and power output of automatic motorcycles. An intriguing addition to the Continuously Variable Transmission (CVT) spring is the incorporation of a needle thrust bearing. Further investigation is required to examine the effects of employing needle thrust bearings on CVT springs on the torque and power of automatic motorcycles. The research seeks to quantify the effect of incorporating Needle Thrust Bearings into motorcycle CVT springs on the generated torque and power. A study was conducted to determine if the inclusion of the needle thrust bearing component has a substantial impact on the motorcycle's torque and power. Experiments were conducted using a Super Dyno 50L, a Dyno testing instrument manufactured by the brand Dyno. The test was conducted thrice, with careful consideration given to the engine's rotational speed (rpm) as a benchmark. The test results indicate that the utilization of Needle Thrust Bearings on CVT springs leads to an average torque increase of 5.32% and an average power increase of 5.84% compared to without the use of Needle Thrust Bearings on CVT springs.
Exploring Robustness of Multilingual LLMs on Real-World Noisy Data
Authors: Aliakbarzadeh Amirhossein , Flek Lucie , Karimi Akbar 
Published: February 2025

Large Language Models (LLMs) are trained on Web data that might contain spelling errors made by humans. But do they become robust to similar real-world noise? In this paper, we investigate the effect of real-world spelling mistakes on the performance of 9 language models, with parameters ranging from 0.2B to 13B, in 3 different NLP tasks, namely Natural Language Inference (NLI), Name Entity Recognition (NER), and Intent Classification (IC). We perform our experiments on 6 different languages and build a dictionary of real-world noise for them using the Wikipedia edit history. We show that the performance gap of the studied models on the clean and noisy test data averaged across all the datasets and languages ranges from \(2.3\) to \(4.3\) absolute percentage points. In addition, mT5 models, in general, show more robustness compared to BLOOM, Falcon, and BERT-like models. In particular, mT5 (13B), was the most robust on average overall, across the 3 tasks, and in 4 of the 6 languages1.
Data-Driven Nonlinear Modal Identification of Nonlinear Dynamical Systems with Physics-Constrained Normalizing Flows
Authors: Rostamijavanani Abdolvahhab , Li Shanwu , Yang Yongchao 
Published: February 2025

Identifying the intrinsic coordinates or modes of the dynamical systems is essential to understand, analyze, and characterize the underlying dynamical behaviors of complex systems. For nonlinear dynamical systems, this presents a critical challenge as the linear modal transformation, which is universal for linear systems, does not apply to nonlinear dynamical systems. As natural extensions to linear normal modes, the nonlinear normal modes (NNMs) framework provides a comprehensive representation of nonlinear dynamics. Theoretically, NNMs may either be computed numerically or analytically from the closed-form models or equations of dynamical systems, or experimentally identified from controllable input-output tests, both of which, however, are typically unknown or unavailable practically. In this study, we present a physics-integrated Normalizing Flows deep learning-based data-driven approach which identifies the NNMs and the nonlinear modal transformation function of NNMs using measured response data only. Specifically, we leverage the unique features of the Normalizing Flows model: 1) the _independent_ latent spaces, naturally spanned by the Normalizing Flows, are exploited to facilitate nonlinear modal decomposition; 2) the _invertible_ transformation through the Normalizing Flows, enabling efficient and accurate nonlinear transformation between original and modal coordinates transformation. Therefore, our framework leverages the independency feature and invertibility of Normalizing Flows to create a model that captures the dynamics of unknown nonlinear dynamical systems. This enables the identification of nonlinear normal modes through data-driven methods, while also preserving the physical interpretability and generalizability of resulting invariant manifolds and long-term future-state predictions for a wide range of physical systems. For method validation, we conduct numerical experiments on multi-degree-of-freedom (MDOF) Duffing systems and velocity fields of flow passing a cylinder in the laminar regime. We present the performance of the presented method in identifying the nonlinear manifolds of a dynamical system under different energy levels, and compare the presented method with the Proper Orthogonal Decomposition (POD) method. It is observed that the identified NNMs achieve higher representation accuracy than the POD method using the same dimension of intrinsic coordinates or modes. We also discuss the limitation of the presented framework on high-dimensional dynamical systems, where a dimension reduction scheme is applied in the flow field case study.
Analisi Fungsi dan Nilai dalam Legenda Sunan Bonang dan Brahmana India Kajian Antropologi Sastra
Authors: Lutfiyah Sa'adatul 
Published: February 2025

Penelitian ini mengkaji mengenai teori fungsi menurut William R. Bascom dan nilai pada cerita rakyat Sunan Bonang dan Brahmana India. Metode yang digunakan adalah kualitatif deskriptif dengan menyajikan data dalam bentuk deskriptif. Objek penelitian yaitu sastra lisan Sunan Bonang dan Brahmana India yang berkembang di masyarakat Tuban. Tempat penelitian adalah Kota Tuban, Jawa Timur tepatnya di maka Sunan Bonang dan Pantai Boom. Teknik Pengumpulan data yang dilakukan dengan teknuk wawancara, catat, dan dokumen tertulis. Dokumen beerfungsi untuk pelengkap jika data yang diperoleh melalui wawancara dirasa kurang lengkap. Teknik analisi data dilakukan oleh penelitian sebagai berikut (1) Tahapan menganalisis cerita lisan; (2) Tahapan mengidentifikasi data yang relevan dengan nilai dan fungsi menurut teori William R. Bascom; (3) Tahapan pengelompokan data berdasarkan nilai dan fungsi menurut teori Willian R. Bascom; (4) Memaparkan data secara konkret. Penelitian ini menunjukkan adanya nilai-nilai dan fungsi menurut teori William Bascom pada cerita rakyat Sunan Bonang dan Brahmana India.
Predicting Energy Consumption in Hospitals Using Machine Learning: A Data-Driven Approach to Energy Efficiency in the USA
Authors: Ahmed Adib , Jakir Tanaya , Mir Md Nazmul Hossain , Zeeshan MD Abdul Fahim , Hossain Arat , Jui Afrin hoque , Hasan Md Sakibul 
Published: February 2025

In the USA, hospitals are confronted with significant challenges regarding energy consumption, which not only impacts operational costs but also contributes to environmental concerns. The primary objective of this research was to develop and evaluate machine learning models that are capable of accurately predicting energy consumption in U.S. hospitals. This study will be focused on United States hospital energy consumption data, recognizing the unique difficulties and opportunities present in the U.S. healthcare setting. The data used for this hospital energy consumption analysis has been carefully gathered from multiple credible sources, including the U.S. Department of Energy's Energy Star program, whole-building hospital energy audits, and information from local utility providers. This variety in sourcing guarantees a strong and complete dataset that accurately represents real-world energy dynamics in healthcare buildings. In the model selection phase, three powerful algorithms were employed: the Random Forest Classifier, XG-Boost, and Artificial Neural Network (ANN). XG-Boost outperformed other models after tuning, achieving an 81.8% accuracy on the test set. Random Forest showed a decent improvement post-tuning but still lagged behind XG-Boost. Hospital managers can utilize machine learning (ML)--based predictions to achieve substantial cost savings in operational expenditures related to energy usage. With predictive analytics, hospitals can anticipate energy needs based on several parameters, such as patient occupancy rates, time of day, and seasonality. Integration of AI-driven energy prediction in hospital sustainability plans has significant policy implications for the U.S. healthcare sector. The integration of machine learning models and the Internet of Things (IoT)-)-)-enabled energy management systems is a breakthrough step in embracing smart hospital initiatives.
KELOMPOK MUSIK INDIE DI KALANGAN REMAJA (Studi di Kelurahan Surabaya, Kota Bengkulu)
Authors: Oktar Wandi , Suminar Panji , Topan Asep 
Published: February 2025

Penelitian ini bertujuan untuk mengeksplorasi, menggambarkan dan juga menjelaskan mengapa remaja di Kota Bengkulu membentuk kelompok musik indie, selain itu bertujuan untuk mengeksplorasi, menggambarkan dan menjelaskan apa saja bentuk dukungan dari masyarakat terhadap kelompok musik indie. Penelitian dilakukan dengan menggunakan teori Interaksionisme Simbolik. Penelitian ini menggunakan metode penelitian kualitatif ekploratif. Teknik pengumpulan data dilakukan melalui proses observasi, wawancara dan dokumentasi. Pemilihan informan dilakukan berdasarkan teknik Purposive Sampling. Analisis data dilakukan secara kualitatif yang meliputi pengujian, pemilihan kategorisasi, evaluasi, membandingkan, reduksi data sampai pada penarikan kesimpulan dan verifikasi untuk mendapatkan konsep-konsep sebagai hasil penelitian. Hasil penelitian menunjukkan bahwa ada berbagai alasan sehingga kalangan remaja yang ada di Kota Bengkulu membentuk kelompok musik secara indie, kelompok musik yang berada di luar jalur industri musik label. Pertama, adanya pengaruh lingkungan peer group yang terdiri dari teman sekolah, tetangga dan juga kerabat, remaja membentuk kelompok musik indie karena berdasarkan lingkungan sekolah, selain itu juga berdasarkan tetangga dan juga tempat tinggal yang sama. Kedua terbentuk karena adanya ajakan oleh teman. Ketiga, membentuk kelompok musik indie karena ingin menunjukkan eksistensi kelompok dan identitas diri. Selanjutnya atau yang ke empat, membentuk kelompok musik indie sebagai jalur alternatif untuk berkarya di luar jalur industri musik label. Kelima adanya faktor hubungan interaksi seperti imitasi yang meliputi imitasi terhadap anggota keluarga, imitasi terhadap teman dan juga imitasi terhadap tokoh idola, berikutnya ada sugesti yang meliputi sugesti oleh anggota keluarga, selanjutnya karena identifikasi. Dengan melalui berbagai langkah mulai dari proses mempromosikan hasil karyanya, bukan tanpa alasan bila kelompok musik indie yang dibentuk oleh kalangan remaja sudah di kenal oleh masyarakat, dengan demikian hasil penelitian menunjukkan ada berbagai bentuk dukungan masyarakat terhadap kelompok musik indie meliputi. Pertama, diselenggarakannya acara festival untuk kelompok musik indie. Kedua, disediakannya ekstrakulikuler musik baik di sekolah maupun di Universitas. Ketiga, undangan untuk mengisi acara baik itu resepsi pernikahan maupun acara ulang tahun, dan yang berikutnya disediakannya segmen khusus acara kelompok musik indie baik di televisi lokal maupun di radio. Kata Kunci : Kelompok, Musik Indie, Remaja