bluuebunny/crossref_metadata_2025 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.
The Emancipated Student: Rethinking Knowledge, Equality and Democracy
Authors: Bakhtiar Siavash
Published: February 2025

This paper’s ambition is to act as a short memento for novice language teachers. It is based on a reflexive practice that stems from my personal work experience as secondary school language teacher. Drawing upon Jacques Rancière’s portrayal of the paradoxical relation between explanation and emancipation, and Gaston Bachelard’s notion of epistemological obstacle, the article aims at giving way to a reflexion on the challenges of teaching a foreign language to a group of students coming from a particular cultural linguistic background in a secondary school. According to this perspective, which breaks away from common sense, the difficulties to learn of new language should not be understood in terms of lack or impairment, but rather as the presence of an a priori significant knowledge. From this alternative way to engage with education research emerges a political argument that does not envision equality between teachers and learners, and their emancipation, as a postponed goal, but instead as a presupposition to any democratic teaching practice.
Ultrasound-Driven Radical Expansion: Unlocking Novel Chemical Pathways
Authors: Ranj Adil Rand
Published: February 2025

This study investigates the potential of ultrasound-induced radical generation to accelerate chemical reactions, focusing on the decomposition of hydrogen peroxide (H₂O₂). High-frequency ultrasound creates cavitation bubbles that collapse to produce hydroxyl radicals (•OH), significantly enhancing reaction rates. Our results demonstrate that this approach increases the decomposition rate of H₂O₂ by 400% compared to conventional methods. The implications extend to various applications, including optimizing chemotherapy drug activation and improving wastewater treatment through advanced oxidation processes. Given its scalability and cost-effectiveness, ultrasound-driven radical chemistry has the potential to transform industrial and scientific processes.
Precision in peak parameter estimation for Gaussian and Lorentzian profiles: Guidelines for instrument optimization
Authors: Hagiwara Yuuki , Kuwatani Tatsu
Published: February 2025

The analysis of signal data plays a fundamental role across diverse scientific fields, where the high-precision estimation of peak parameters such as intensity, position, bandwidth, and area is essential for advancing scientific progress. However, understanding how these parameters are influenced by profile shape and instrumentation remains a key challenge, as these factors fundamentally determine the precision and efficiency of analytical measurements. To address this, we derive analytical solutions for the precision of Lorentzian profile peak parameters under Poisson noise constraints using the Cramér–Rao inequality and Fisher information. By comparing these precision limits with those of Gaussian profiles, we identify the peak characteristics that strongly influence parameter precision. Our results demonstrate that the profile slope and tail intensity are critical factors for estimating peak position and position differences, with Gaussian profiles exhibiting higher precision under identical conditions. Conversely, the weaker intensity–bandwidth correlation in Gaussian profiles contributes to their superior precision in intensity and bandwidth estimation. Additionally, Lorentzian profiles show a √3-fold improvement in area ratio precision over intensity ratio precision, surpassing the corresponding improvement in Gaussian profiles. This distinction arises from the larger area and stronger intensity–bandwidth correlation inherent in Lorentzian profiles. These findings highlight the significant impact of profile shape on peak parameter precision, providing essential guidance for decision-making in instrument design and analytical conditions. By integrating these analytical solutions with insights from analytical chemistry, we establish a theoretical framework linking peak parameter precision with instrument performance. This framework enables quantitative evaluation of the effects of equipment and experimental design improvements on measurement precision. As a practical application, we numerically demonstrate how enhanced instrument conditions improve the precision of isotope ratio measurements of CO2 using Raman spectroscopy. Our findings provide practical guidelines for instrument optimization and budget planning, ultimately supporting high-precision analytical applications.
Surface-Adaptive Anti-Biofouling Coatings Based on Amphiphilic P(OEGMA-co-AEMA) Copolymers: Synthesis, Characterization, and Performance Evaluation
Authors: Peña Figueroa Miriam , Saa Laura , Cortajarena Aitziber L. , Pomposo Jose A. , Alvarez-Fernandez Alberto , Verde Sesto Ester , Maestro Armando
Published: February 2025

Biofouling, the undesired accumulation of microorganisms on surfaces exposed to aqueous environments, is primarily driven by bacterial adhesion and biofilm formation. It presents a significant challenge in various fields, especially in biomedical applications such as tissue engineering, wound healing, and medical devices. To develop effective antifouling solutions, it is crucial to understand the mechanisms underlying biological attachment. For example, surface properties, such as hydrophobic/hydrophilic balance and texture, play a key role in avoiding the formation of biofilms that facilitate the incorporation of other microorganisms. While current antifouling strategies are generally effective on hydrophilic surfaces, they often exhibit reduced efficacy on hydrophobic ones due to limited surface interactions. Here, we propose the use of amphiphilic random copolymers, which combine both hydrophilic and hydrophobic segments, as a promising solution for adapting to different surface types. In particular, this study explores the use of amphiphilic poly(ethylene glycol) methyl ether methacrylate-co-(2-acetoacetoxy ethyl methacrylate) (P(OEGMA-co-AEMA)) copolymers as adaptive coatings to prevent biofouling. Chemical characterization using nuclear magnetic resonance (NMR) and gel permeation chromatography (GPC) confirmed the successful synthesis of the copolymers. Additionally, their ability to form antifouling layers on both hydrophilic and hydrophobic surfaces was evaluated using advanced techniques such as atomic force microscopy and ellipsometry. Bacterial adhesion experiments demonstrated an 80% reduction in biofouling, highlighting their potential for various biomedical applications such as medical device coatings.
Nitroreductase-triggered indazole formation
Authors: Terholsen Henrik , Medema Lisa , Chernyshova Elizaveta , Prats Luján Alejandro , Poelarends Gerrit J. , Schmidt Sandy
Published: February 2025

Biocatalysis contributes significantly to the development of more sustainable synthetic pathways by using mild reaction conditions and water as a solvent. However, many relevant classes of compounds, including privileged groups in drug design, are not yet accessible via enzymatic pathways. In this context, the development of an enzymatic route to indazoles remains an unmet challenge. Here, we present the first example of nitroreductase-triggered indazole formation, in which 2-nitrobenzylamine derivatives are converted to reactive nitrosobenzylamine intermediates that spontaneously cyclize and aromatize to indazoles. Two nitroreductases, NfsA and BaNTR1, were found to accept a series of 2-nitrobenzylamine derivatives with excellent conversions (up to >99 %). In the case of N-substituted nitrosobenzylamines, 2H-indazoles were formed, whereas other derivatives led to 1H-indazoles. The synthetic value of the nitroreductase-triggered indazole formation was further demonstrated by successful coupling with an imine reductase (IRED15) in a sequential cascade reaction. With this cascade, N-methyl-2Hindazole was accessible from cheap 2-nitrobenzaldehyde and methylamine, resulting in 62 % isolated yield.
Room Temperature Dinitrogen Cleavage and Hydrogenation with Organometallic Complexes of Uranium
Authors: Shephard Angus , Pedussaut Lucie , De Marchi Linda , Demonti Luca , Rajeshkumar Thayalan , Casaretto Nicolas , Maron Laurent , Danoun Grégory , Simler Thomas , Nocton Gregory
Published: February 2025

The conversion of atmospheric nitrogen into ammonia is not just a crucial reaction for sustaining life on Earth; it is a pivotal cornerstone for our planet's future. The Haber-Bosch process, although a well-established method utilizing hydrogen and nitrogen, demands an extensive industrial infrastructure, limiting its accessibility and flexibility. Innovative technologies that harness hydrogen from renewable resources, combined with decarbonized electricity and nitrogen from the ambient air, are imperative to address the pressing need for sustainable ammonia production. The chemistry of molecular catalysts, whether supported or unsupported, offers numerous advantages. In this context, we present groundbreaking findings on the reactivity of dinitrogen with an organometallic uranium complex featuring the Cpttt ligand (Cpttt = 1,2,4-tris(tert-butyl)cyclopentadienyl). This complex demonstrates the ability to cleave and hydrogenate dinitrogen with notable kinetics at ambient temperature and pressure. Most notably, redox assistance from the hydrocarbon ligand is crucial to this reaction, highlighting the promise of such complexes as viable candidates for ammonia synthesis technologies.
Convolutional Neural Network Based Characterization of Atomic Diffusion from Spectroscopic Imaging
Authors: Sahu Protyush
Published: February 2025

In this paper, we explore the opportunities of using deep learning methods to characterize stochastic processes such as atomic diffusion. Here, we use a convolutional neural network (CNN) to characterize the extent of diffusion in a small, narrow trench. We use diffusion images to train the CNN on the diffusion profiles and categorize them into two classes. The probability of this categorization is indicative of the amount of atomic diffusion. We further explore the effects of CNN complexity (number of nodes) and different flatten functions on the loss function and the accuracy of the CNN model. We also explore different NN architectures to understand the effects of multiple hidden layers on the training and validation loss/accuracy
Organic–inorganic hybrid solid lubricants based on 2D silver thiolate coordination polymers featuring precise interlayers
Authors: Muramatsu Ren , Eguchi Hiroshi , Nagata Kenji
Published: February 2025

Layered solid lubricants, such as molybdenum disulfide, are widely used to reduce friction and wear at moving contact surfaces. However, their limited structural variety makes it challenging to tailor their lubrication properties for specific applications. This study demonstrated the potential of two-dimensional silver thiolate (AgSR) coordination polymers, which feature distinctive organic–inorganic lamellar crystal structures, as tunable solid lubricants based on the precise structural design. X-ray diffraction measurements showed that various AgSR compounds with linear alkylthiolato and para-substituted benzenethiolato ligands formed layered structures with high crystallinity. Ball-on-disk friction tests were performed on powder-supported specimens to assess the solid lubricating properties of AgSR. The AgSRupported specimens with alkylthiolato ligands demonstrated a coefficient of friction (COF) of approximately 0.1, considerably lower than that of the well-known layered materials, MoS2 and alkylammonium-intercalated mica. This exceptional lubricity of AgSR is likely attributed to their unique interlayer structures, which exhibit minimal interdigitation of alkyl chains. Scanning electron microscopy and energy-dispersive X-ray spectroscopy analyses of the worn surfaces of the AgSRupported specimens revealed that AgSR compounds create lubricating films on the sliding substrates. Furthermore, for a series of AgSR compounds featuring para-substituted benzenethiolato ligands, the COF values were highly affected by the functional groups at the para position, which affected their interlayer interactions. Strong interlayer interactions, such as hydrogen bonds, resulted in considerable increases in the COF to approximately 0.7, suggesting that the lubrication properties of AgSR are derived from the ease of cleavage in their layered crystal structures. These findings imply that AgSR offers considerable advantages over traditional inorganic layered materials for the tailored development of custom solid lubricants.
Organoids Producing Materials
Authors: Perrin Quentin Moana , Miserez Ali
Published: February 2025

Self-organizing tissues, such as organoids, offer transformative potential beyond healthcare by enabling the sustainable production of advanced materials. Resource scarcity and global warming drive the need for innovative fabrication solutions. This prospective review explores developmental biology as a manufacturing process, where the material (e.g. spider silk) and its production unit are self-organized (e.g. silk glands). Biological systems orchestrate the emergence of hierarchical materials with superior mechanical properties and biodegradability, using abundant and renewable resources. Tissue engineering enables the creation of biological systems that surpass current synthetic designs in complexity. We highlight application opportunities, focusing on spider silk as a model to demonstrate how organs synthesize and assemble next-generation materials. The concept of growing both a material and its organ production units is exemplified by hair-bearing organoids, self-organized from induced pluripotent stem cells (iPSCs). Key challenges in expanding organoid research to new model species and scaling-up production are discussed alongside potential solutions. We propose a simplified description of these complex systems to help address key challenges. Furthermore, synthetic and hybrid approaches are explored, considering the ethical, societal, and technological impacts. Though still in their infancy, material-producing organoids present a promising avenue for sustainable, high-value products, fostering new interdisciplinary collaborations among bioengineers, developmental biologists, and material scientists. This work aims to inspire further exploration into the applications of self-organized biological systems in addressing global challenges.
Mechanochemical Crystal Downsizing Enables Melting, Glass Formation and Glass-Ceramic Conversion in a Cadmium-based Zeolitic Imidazolate Framework
Authors: Xue Wen-Long , Klein Alexander , El Skafi Mounir , Weiß Jan-Benedikt , Egger Felix , Ding Hui , Vasa Suresh , Liebscher Christian , Zobel Mirijam , Linser Rasmus , Tan Jin-Chong , Henke Sebastian
Published: February 2025

Metal-organic frameworks (MOFs) are versatile materials with tunable properties and broad applications. Here, we report the first cadmium‐based zeolitic imidazolate framework (ZIF) glass, prepared by melt-quenching sub-micrometer-sized Cd(im)2 (im– = imidazolate) particles obtained via mechanochemical synthesis. This approach lowers the melting temperature from 461 °C (for larger solution-synthesized microcrystals) to 455 °C, mitigating thermal decomposition during melting. Crystalline Cd(im)2 adopts a two-fold interpenetrated diamondoid (dia-c) topology, assembled from tetrahedral Cd2+ centers and im– linkers. Rapid cooling yields a monolithic glass with a glass transition temperature (Tg) of 175 °C. Structural analysis confirms that short-range connectivity within individual networks is maintained, whereas interactions between the interpenetrated networks are disrupted. Upon reheating, partial recrystallization produces a single-component glass-ceramic with enhanced mechanical properties, an unprecedented behavior in melt-quenched ZIF glasses. Investigations of thermal parameters (cooling rates) and partial linker substitution reveal strategies for tuning the phase behavior of both glass and glass-ceramic. These findings extend ZIF glass systems to second-row transition metal ions and underscore mechanochemical synthesis as a tool for tailoring the thermal properties of MOFs. This dual‐phase functionality, combining glassy and crystalline domains of identical composition within a single material, offers potential for applications in thermal energy storage, phase change memory, and optics.
ĐO LƯỜNG SỰ GẮN BÓ CỦA NGƯỜI DÂN ĐỊA PHƯƠNG VỚI NƠI CƯ TRÚ CỦA HỌ – TRƯỜNG HỢP KHU VỰC THÀNH NỘI – TP HUẾ
Authors: Quyên Lê Thị hà
Published: February 2025

Sự gắn bó với địa phươngđã nhận được nhiều sự quan tâm rộng rãi của các nhà nghiên cứu trong nhiều lĩnh vực, và được áp dụng trong du lịch để nghiên cứu về mối quan hệ giữa các cá nhân với một điểm đến. Nghiên cứu này nhằm mục đích xây dựng mô hình dựa trên cách tiếp cận tích hợp để đo lường sự gắn bó với điểm đến Huế của người dân khu vực Thành Nội – thành phố Huế. Kết quả nghiên cứu đã chỉ ra rằng, từ 19 biến quan sát ban đầu đã trích lập thành 5 nhóm nhân tố cấu thành nên sự gắn bó với điểm đến Huế: Sự đồng nhất điểm đến, tình cảm với điểm đến, sự phụ thuộc điểm đến, sự gắn kết gia đình và sự gắn kết xã hội. Những người dân địa phương trong nghiên cứu này có xu hướng gắn kết khá mạnh mẽ và gần gũi với điểm đến Huế về cả sự gắn bó nhận thức hay tình cảm, trong đó, họ đánh giá cao sự gắn kết với gia đình và phát triển tình cảm tích cực và tốt đẹp với nơi cư trú của mình. Ngoài một số kết quả nhất định, nghiên cứu còn nhiều hạn chế về quy mô mẫu, thời gian điều tra cũng như hạn chế về kĩ thuật xử lý số liệu, ví dụ như có thể sử dụng mô hình bậc cao để đo lường sự gắn bó với điểm đến.
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.
PALEONTOLOGY, STRATIGRAPHY, PALEOGEOGRAPHY OF TWO HUNDREDS SOUTHERN TETHYAN CAMPANIAN-PALEOGENE ROTALIID BENTHIC FORAMINIFERAL SPECIES
Authors: Anan Haidar Salim
Published: February 2025

Two hundreds calcareous benthic foraminiferal species of the Suborder Rotaliina belong to sixty genera from twenty countries in the Southern Tethys (Chile, Argentina, Angola, Nigeria, Tanzania, Mali, Algeria, Tunisia, Egypt, Palestine, Lebanon, Syria, Jordan, Saudi Arabia (SA), Yemen, Qatar, United Arab Emirates (UAE), Iraq, Iran and Pakistan) have been studied. The modern taxonomical consideration of the species is used. The recorded species were previously noted in the literatures, while two of them are believed here as new: Stainforthia abdelkarimi and Siphonodosaria misrensis. Forty species of them are recorded from Egypt (about 41%), twenty seven from Pakistan (~ 28%), ten from UAE (~ 10.5%), six from Qatar (~ 6%), four from each of Algeria and Iran (~ 4%), three from three from Jordan (~ 3%), two from each of Palestine and Iran (~ 2%), and only one from each of Iraq and India (~ 1%). Most of the Southern Tethyan recorded species are endemic to their original description, while five of them are also recorded in some other Southern Tethys, and also Northern Tethyan countries (Atlantic Ocean, France, Spain, Slovenia, Austria, Turkey, Turkmenia and Kazakhstan).
HOTSPOTS AND TRENDS IN RESEARCH ON TEACHER ACCEPTANCE ATTITUDES (2004-2023): A VISUAL ANALYSIS USING CITESPACE
Authors: Xu Mengke , Chen Bei
Published: February 2025

This study investigates the trends, hotspots, and general overview of research on teacher acceptance attitudes from 2004 to 2023. Using Citespace for bibliometric and knowledge map analysis on 574 publications from the Web of Science, the study reveals: (1) A steady increase in research activity, predominantly from the United States, with significant scholarly contributions; (2) Core research hotspots include “special educational needs, pre-service teachers, primary education, physical education, autism, perceptions, theory of planned behavior, inclusive education, placement, social inclusion, and prejudice, (3) During the initial exploration phase (2004-2011), research focused on the effects of inclusive education on pre-service teachers dealing with special students. In the growth phase (2012-2019), the focus shifted to accommodating special educational needs within physical education and examining teachers’ self-efficacy. The flourishing phase (2020-2023) expanded to study the impact of teacher acceptance attitudes on special students across diverse countries and educational levels.
PALEONTOLOGY, PALEOGEOGRAPHY, PALEOENVIRONMENT OF THE CAMPANIAN NEOGENE TETHYAN FORAMINIFERAL GENERA AND SPECIES OF ANAN A- SUBORDERS TEXTULARIINA AND MILIOLINA
Authors: Anan Haidar Salim
Published: February 2025

During the last four decades ago, fifty-seven (54 agglutinated and 3 porcelaneous) benthic foraminiferal species and related to 23 genera have been erected by the present author, which start at 1984, which are recoded from many countries around the Arabia (Egypt, Palestine, Jordan, Iraq, UAE, Iran and Pakistan), and also Saudi Arabia, Yemen, UAE and Qatar. Some of these species were also recorded from many countries in the Northern Tethys (Atlantic Ocean, USA, Spain, France and Poland), and western Pacific Ocean. These species help, not only to define the major faunal changes throughout the Campanian-Neogene time, but also to emphasis the stratigraphic importance of them in different localities in the Tethys. Most of the identified species were erected: 12 species (from Egypt), 11 (UAE), 8 (Iraq), 4 (Iran), 3 (Pakistan and France), 2 (Palestine, Pakistan, Spain and Poland), while one species only from the other countries. The Tethys assemblage indicates an open marine environment, which represents middle-outer neritic environment and shows an affinity with Midway-Type Fauna (MTF).
INVESTIGATION OF THE BACTERIA EXTRACTED FROM ERBIL CITY’S SEWAGE WATER AND TREATED WITH CHLORINE
Authors: Ahmed Tablo Abdulrahim , Ahmed Rezan Sabah
Published: February 2025

Chlorination is one technique used to treat wastewater; this method is particularly good at eliminating bacteria, viruses, and protozoa. Chlorination is a common treatment method because it is more effective than other methods at eliminating most pathogenic organisms; however, it is also capable of eliminating the majority of other contaminants found in water. Seven bacteria were isolated from the sewage water in the current study, which included 30 sample collections from various locations throughout our city, both before and after the sewage water was treated with chlorine. (Staph. intermedis, Streptococcus agalactiae, Staph.epidermidis, E.coli, Vibrio,cholera, Klebsiella pneumonia,and Pseudomonas aeruginosa.) The Vitek 2 system was used in conjunction with macroscopic and microscopic examination to make the diagnosis of those isolated bacteria. The amount of isolated bacteria decreased and some of them were killed after being treated with 10 mg/L of chlorine
A REVIEW OF ITGC STRATEGIES FOR PREVENTING SUPPLY CHAIN ATTACKS
Authors: Oladeinde Monisola , Fakeyede Ololade Gilbert , Apeh Apeh Jonathan , Hassan Azeez Olanipekun , Adaramodu Olubukola Rhoda , Farayola Oluwatoyin Ajoke
Published: February 2025

This research paper provides a comprehensive examination of Information Technology General Controls (ITGC) strategies in the context of supply chain security. The digitalization and globalization of supply chains have necessitated robust cybersecurity measures to safeguard against evolving threats. The paper delves into key ITGC strategies, including access controls, change management, segregation of duties, system development life cycle (SDLC) controls, and incident response and management. The challenges and limitations in implementing these strategies are explored, highlighting supply chains’ diverse and global nature, the dynamic threat landscape, resource constraints, the complexity of supply chain networks, and regulatory compliance challenges. Despite these challenges, the paper emphasizes the importance of continuous monitoring, industry collaboration, employee training, integration of emerging technologies, and scalable ITGC frameworks in overcoming obstacles and enhancing supply chain security. In conclusion, the research underscores the need for a holistic and adaptive approach to supply chain security. It recommends industry collaboration, investment in employee training, the integration of emerging technologies, and scalable ITGC frameworks to navigate the challenges posed by modern supply chains’ dynamic and interconnected nature. By implementing these recommendations, organizations can bolster their cybersecurity defences, foster resilience, and contribute to the overall security of the digital supply chain ecosystem.
MARKETING PATHWAYS TO SUCCESS: MARKETER PARADIGM SHIFT TOWARDS THE VIDEO ERA – TRENDS 2023
Authors: * Hilda
Published: February 2025

This research aims to analyze the use of video in the marketing strategies of large companies in Indonesia. The theory in this research is marketing theory which functions to understand how videos are used to influence consumer behavior. The research method is a descriptive quantitative method with secondary data taken from the Wyzowl Research Institute report published by Katadata.co.id. The research results show that the use of video in marketing has proven effective in increasing brand awareness and consumer engagement, but challenges such as budget and content competition remain major concerns for companies adopting it.
DIGITALIZATION OF PRIVATE HOSPITALS AND EFFECTS ON THE ACCOUNTING SYSTEM
Authors: Ibarra Venus C. , Laquindanum Emilia S.
Published: February 2025

The study focuses on the digitalization of selected private hospitals in the Philippines and the effects of digitalization on their accounting system. The specific objectives are: to determine the status of digitalization among the participant hospitals, identify and analyze the particular challenges hindering the digitalization of the hospital’s accounting systems, identify the advantages gained from the digitalization of hospital accounting systems, and recognize the specific enhancements brought about by digitalization of the hospital accounting systems. This is qualitative research. Information was gathered from an open-ended survey questionnaire. The study’s respondents were 15 healthcare employees of 4 private hospitals, including IT personnel, an Accounting Head, an HR officer, an Executive Secretary, a Medical Director, a Finance Officer, Accountants, a Medical Director’s Office secretary, and a Medical Arts Building secretary. Challenges in digitalization include Slow filing of patient profiles/slow progress or transition, slow filing of patient profiles/slow progress or transition, slow internet connection, HMO accreditation, slow transfer of lab results from the main branch, and doubling recording. Advantages of the accounting system are faster processing of transactions, improved accuracy of financial records, better integration with other hospital systems, enhanced security of financial data, and streamlined billing and invoicing processes. Proper cost-benefit analysis is recommended at the level of the individual institutions as well as that of the greater Philippine Health System which operates on the background of the Universal Health Care Law. Ensuring a context-specific and appropriate transition is crucial for reaping the benefits of advancements in technology, especially in the healthcare sector.
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.
Pausing and Starting in The Holy Quran: A Phonetic, Syntactic, and Semantic Study
Authors: Azouzi Sanae
Published: February 2025

This paper aims to demonstrate the integrative relationship between the science of stopping and starting in the Holy Quran, and the levels of linguistic study (phonetic, phonological, morphological, syntactic, semantic, and pragmatic). We chose to study the relationship between; the phonetic component, through some phonetic phenomena generated by stopping and starting, such as inclination, vibration, deletion, and addition, and the syntactic component that deals with the distribution and arrangement of words in sentences. Also, the relationship that connects them to give them semantic significance considering the representational relationships between words. We demonstrated this through an applied phonetic, syntactic, and semantic study in some Quranic verses to show the impact of stopping and starting in integrating these levels. We concluded that it is necessary to go beyond the inherited view of separating the levels of the Arabic tongue, which has arisen through linguistic theories aimed at specialized scrutiny, thus narrowing the perspective and obscuring the comprehensive vision.
The Effectiveness of Wordwall Media in Enhancing Arabic Vocabulary Learning Among Fifth-Grade Students at MI Nurussalam Mantingan Ngawi
Authors: Sa'idah Mandrasi Amira , Nabila Khansa , Yasin Agus
Published: February 2025

The acquisition of Arabic language skills—listening, speaking, reading, and writing—depends heavily on vocabulary mastery. At MI Nurussalam Mantingan Ngawi, a lecture-centered teaching approach has resulted in low vocabulary proficiency among students. To address this issue, this study investigates the effectiveness of Wordwall media in enhancing vocabulary learning outcomes for 5th-grade students. A quantitative experimental method employing a true experimental design with a post-test-only control group was utilized. Data were collected through tests and documentation, and analysis involved t-tests with homogeneity and normality tests. The findings reveal that Wordwall media significantly improves vocabulary learning outcomes, as indicated by a t-count of 2.994, exceeding the critical values at both the 5% (2.021) and 1% (2.704) significance levels. Consequently, the null hypothesis (Ho) is rejected. This study concludes that Wordwall media is an effective instructional tool for improving Arabic vocabulary mastery and recommends its integration into Arabic language teaching practices.
The Metaphor of ”Dog” in Egyptian Arabic Proverbs
Authors: Syahreni Jessica Meilia , Ma'nawi Arief
Published: February 2025

Proverbs that employ metaphors are deeply rooted in the social and cultural life of a society, often drawing from animals and plants. These proverbs reflect the characteristics and identity of a community while delivering messages in an easily understandable manner. This study examines the metaphor of the "dog" in Egyptian proverbs, employing a semantic cognitive and conceptual metaphor approach. The study focuses on the forms of the dog metaphor and its representation in Egyptian Arabic proverbs. A descriptive qualitative research method was used, with data collected using the SBLC method. The data were analyzed through the referential matching method. The study found 11 proverbs that use the word "dog" as a metaphor. The conceptualization of the dog metaphor is predominantly based on the dog's state, drawing on the relationship between humans and dogs as an analogy for human characteristics or conditions. The use of "dog" as a metaphor in these proverbs represents various human traits, including both good and bad characteristics, excessive talkers, lost individuals, as well as communities (civil and governmental) and individual traits.
Test Evaluation Techniques in Arabic Language Learning: Theory and Practice at SDIT Insan Mulia Pekalongan
Authors: Nidhomillah Abd Rofi Fathoni , Fithtriyah Aidah , Rosyada Amrina , Qomari Nur
Published: February 2025

Arabic language learning at the elementary level is crucial for understanding Islamic values and developing general language skills. Evaluation plays a key role in ensuring effective teaching and learning, especially with the increasing diversity of assessment methods. This study aims to analyze the implementation of Arabic language evaluation at SDIT Insan Mulia Pekalongan, focusing primarily on test evaluation techniques. The research employs a qualitative approach with a case study design, involving interviews, observations, and documentation. The results indicate that evaluations are systematically conducted through various types of tests, including Daily Summative Tests (SH) and End-of-Semester Summative Assessments (ASAS), which assess students' abilities in reading, writing, listening, and speaking. Additionally, oral assessments and memorization practices using songs are implemented to provide constructive feedback. This study also identifies that the use of Item Response Theory (IRT) and Classical Test Theory (CTT) in evaluations can offer a more comprehensive understanding of students' abilities. The findings are expected to contribute to the development of more effective teaching strategies and improve the quality of Arabic language learning at the primary school level.
Study of Chilled Water Storage System in Subway Engineering: A Case Study of a Subway Station in Guangzhou
Authors: Li Cen
Published: February 2025

Based on the distribution of cooling load at a subway station and the peak-valley electricity price in Guangzhou, a chilled water storage system is reserved in the ample space above the station’s distribution area. This study proposes a design scheme and operational strategy for a chilled water storage system suitable for subway engineering, based on calculating the cooling load and designing a chilled water storage system in a subway station. Additionally, it proposes calculation coefficients of hourly cooling load suitable for subway engineering and convenient for estimation of hourly cooling load. Furthermore, an economic analysis is conducted by combining hourly cooling load with time-of-use electricity prices. This study provides a reference for the design and application of chilled water storage systems in subsequent subway projects.