bluuebunny/crossref_metadata_2025 huggingface dataset:
Remote Sensing Data Quality in the Era of AI
Authors: Abdulmuttalib Hussein , Al Doori Mulhim , Barsi Árpád , Blaschke Thomas , Gao Yunya , Kugler Zsofia , Lang Stefan , Szabo Gyorgy , Tiede Dirk
Published: November 2024

Abstract. The era of Artificial Intelligence ‘AI’ with all the benefits brought along, has raised new and additional challenges to the ongoing efforts of assessing, defining, formulating, and implementing the quality aspects of geospatial remote sensing data. Developed practices using artificial intelligence leveraged techniques such as image interpretation, classification, thematic mapping, and even image quality enhancement, necessitating by that the reassessment and redevelopment of some of the related emerging quality aspects. Moreover, technology also made the generation of false images and false data possible, this matter constrained and increased precaution and doubtfulness, altogether making some practices based on that data almost halt to further notice. This paper presents the collaborative research work to assess and clarify the quality aspects that arose with the advent and implementation of AI and associated technologies; the concerns and issues that can accompany the generation of false satellite and aerial images including the generated geospatial data out of which, how the new emerged quality aspects fit into the currently existing methods through the lifecycle of remote sensing data production and usage, and consequently how the quality dimensions are affected and should be further developed and improved to tackle the changes and innovations. Also, lame a bit on investigating how to accommodate the new challenges in standards, and practical procedures and raise the awareness to users, the level of dependency on improved and enhanced satellite images when it comes to data collection interpretation and classification, and finally define the research gaps, future expected challenges and thus enclose suggestions and recommendations in that respect.
Spatiotemporal Pattern Detection of Ground Deformations Induced by Extreme Rainfall using InSAR EGMS: The case of Cortina d’Ampezzo after Vaia Storm
Authors: Eskandari Rasoul , Scaioni Marco
Published: November 2024

Abstract. During October 2018 Vaia Storm occurred in the north of Italy, resulting in a huge amount of rainfall that was recorded. The focus here is given to Cortina d’Ampezzo area in the Veneto Region, due to the high importance of the area from touristic and sport perspectives and the presence of landslides. This study is devoted to investigating the impact of the severe sudden rainfall caused by this extreme atmospheric disturbance on the trends of ground deformations over this area, adopting a risk assessment perspective. The ground deformation Time Series (TS) have been derived from the European Ground Motion Service (EGMS) Ortho products derived from Sentinel-1 InSAR data. Then, according to the daily precipitation records and considering the time of this event as a turning temporal point, the TSs of all data points have been divided into pre-event and post-event phases. After obtaining the displacement rates in each phase, the quantified magnitude of changes in the pre-post rates has been calculated through a proposed simple formulation. The spatial distribution of the deformation parameters (i.e., pre-event displacement velocity and change in the pre-post displacement velocities) is found to be a practical tool for gaining comprehensive knowledge regarding the ground deformation and the effect of the extreme weather conditions on the displacement trends over the area. Furthermore, the positioning of the occurrence of deformation parameters has been compared to the landslide inventory of the area. The results showed that the extreme rainfall caused severe acceleration of displacements, more significant in horizontal East-West direction rather than vertical Up-Down direction. Some slight deceleration has been also detected. No initiation (or reactivation) of the stable zones was witnessed, and the portions with high magnitude of pre-event velocities are the ones whose displacement rates have been remarkably modified due to the severe event.
Real-Time Leaves Segmentation in RGB Images with Deep Learning in a Single-Board Computer
Authors: Faria Júnior Clodoaldo de Souza , Shimabukuro Milton Hirokazu , Tommaselli Antonio Maria Garcia , Maximo Marcos Ricardo Omena de Albuquerque , Porto Letícia Rosim , Imai Nilton Nobuhiro
Published: November 2024

Abstract. This work proposed and evaluated methods for real-time leaf segmentation using a single-board computer. The main aim was to explore the state-of-the-art techniques based on the YOLO algorithm for real-time operation. For this purpose, the available variants of YOLOv8 and YOLOv9 were evaluated, and a semi-automatic labelling method based on the Segment Anything Model (SAM) algorithm was used. Given the need to delimit the leaf contour for labelling, it was possible to create a larger and more accurate dataset compared to the purely manual procedure. In addition, the cost-benefit of the applied algorithms and methods were assessed, considering the computational demand required, as well as the accuracy, recall, and precision delivered by these techniques. In this study, both quantitative analysis of the trained architectures' metrics and qualitative examination through direct observation of images were conducted to identify crucial aspects. The experiments were conducted with a post-processed dataset and the suitability for real-time applications was based on the elapsed time for segmentation. We concluded that the YOLOv8n architecture is the best one among those tested, presenting a precision and recall of 0.9064 and 0.7233, respectively. This architecture represents the best cost-benefit ratio between computational cost and real-time performance, being able to perform segmentation in 310 ms with the NVIDIA Jetson Nano board. Furthermore, when computational cost is not a problem or even when segmentation time can be higher, the YOLO8m network may be recommended when the recall metric is more important than precision. This network presented a precision and recall of 0.8556 and 0.7726, respectively, and presented a better performance in segmenting leaves located in more complex parts of the image and with a higher recall.
Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery
Authors: Hosingholizade Ali , Erfanifard Yousef , Alavipanah Seyed Kazem , Pirasteh Saied , Garcia Millan Virginia
Published: November 2024

Abstract. The shape and area of the crown of each tree are among the most influential parameters for identifying and controlling the processes of photosynthesis, respiration, transpiration and its management. In such a way that various physiographic functions, such as carbon dioxide absorption, light energy absorption, oxygen release and transpiration, which are vital for the growth and development of the tree, are done in the crown. In this research, the RGB image of the UAV with a spatial resolution of 2 cm was resampled to three pixel sizes of 10, 30 and 50 cm. Then, each image was classified separately by SVM, ANN and MLC algorithms, which are all part of Ensemble. In the next step, each of the obtained crowns was compared with the digitization of the same crown, and based on the area of the crown obtained from each classification and normalization method, the weight was obtained specifically for the same crown. Finally, by using the weighted majority voting method, classifications were fusioned at the decision level. The results showed that the ANN method gives better results in all pixel sizes compared to MLC and SVM. Also, the combination of different classification methods with the weighted majority voting method based on the weight assigned to the same crown based on each classification method has significantly increased the classification accuracy of the tree crown in all the sizes of the analyzed pixels.
Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest
Authors: Ortega Adarme Mabel X. , da Costa Gilson A. O. P. , Soto Vega Pedro J. , Heipke Christian , Feitosa Raul Q.
Published: November 2024

Abstract. Geographic variability of the classes of interest, differences in sensor characteristics and changes in atmospheric conditions during image acquisition, among other factors, make it challenging to use a pre-trained deep learning classifier on new remote sensing data without a substantial drop in classification accuracy. This phenomenon occurs due to the so-called domain shift problem. Deep domain adaptation techniques have been used to mitigate the problem and thus avoid the time-consuming and costly collection of new labeled samples. Most recent domain adaptation approaches rely on single-source and single-target domains, refraining from exploiting other data distributions that are usually available. This work introduces a new unsupervised multi-target domain adaptation in the context of a change detection application, namely deforestation detection. The proposed approach addresses the substantial class imbalance typical of such application by applying unsupervised algorithms for selecting pseudo-labels in the target domain that will later serve as additional training references. We report results of experiments to evaluate the proposed method in four distinct sites of two Brazilian biomes using Sentinel-2 images. The results indicate that the proposed unsupervised domain adaptation method is a promising solution to reduce the effects of domain shift and to deal with the scarcity of labeled training data.
Measuring and modelling directional effects in the frame of TIRAMISU (Thermal InfraRed Anisotropy Measurements in India and Southern eUrope)
Authors: Pinnepalli Chandrika , Roujean Jean-Louis , Irvine Mark
Published: November 2024

Abstract. TRISHNA (Thermal infraRed Imaging Satellite for High-Resolution Natural resource Assessment) is a cross-purpose thermal infrared (TIR) Earth Observation (EO) mission designed to deliver images at high spatial (60 m) and temporal (3 days) resolutions. Its launch is foreseen in 2026 with a nominal mission duration of 5 years. This Indo-French polar-orbiting mission will overcome the limitations of thermal-optical observations from Landsat series and ASTER: low revisit, morning observations. TRISHNA scenes will be fully harnessed to pioneer the first cutting-edge high-resolution global maps of the land surface temperature (LST) and land surface emissivity (LSE) of natural and managed agroecosystems, man-made structures, water bodies, bare soils, rocks, snow, ice and sea. The quality of the preprocessing (radiometric calibration, atmospheric and directional corrections) is mandatory to satisfy the specifications with an expected precision of 1 K on LST in order to meet the targeted objectives. For such, it will be necessary to correct LST from directional effects with emphasis on the hot spot effect that can have an impact on LST up to several K. This is the goal of the TIRAMISU project to analyze TIR multiangular signatures over various biomes thanks to a pivoting system of cameras and a multi-model approach (1D, 3D, paramaterization). The modeling tools include 3 categories of models: SCOPE 1D, DART 3D and parametric BRDF models that are computationally efficient to perform inversion at global scale.
Analytical expressions for time evolution of spin systems affected by two or more interactions
Authors: Hempel Günter
Published: November 2024

Abstract. Analytical expressions for the description of the time evolution of spin systems beyond the product-operator formalism (POF) can be obtained if a low-dimensional subspace of the Liouville space has been found. The latter can be established by a procedure that consists of a repeated application of the commutator of the Hamiltonian with the density operator. This iteration continues as long as the result of such a commutator operation contains a term that is linearly independent of all the operators appearing in the previous commutator operations. The coefficients of the resulting system of commutator relations can be immediately inserted into the generic propagation formulae given in this article if the system contains two, three or four equations. In cases not satisfying the validity conditions of any of these propagation formulae, the coefficients are used as intermediate steps to obtain both the Liouvillian and propagator matrices of the system. Several application examples are given where an analytical equation can be obtained for the description of the time evolution of small spin systems under the influence of two or more interactions.
Data-driven surrogate model for wind turbine damage equivalent load
Authors: Haghi Rad , Crawford Curran
Published: November 2024

Abstract. Aeroelastic simulations are employed to assess wind turbines in accordance with IEC standards in the time domain. These analyses enable the evaluation of fatigue and extreme loads experienced by wind turbine components. Such simulations are essential for several reasons, including but not limited to reducing safety margins in wind turbine component design by accounting for a wide range of uncertainties in wind and wave conditions and fulfilling the requirements of the digital twin, which necessitates a comprehensive set of simulations for calibration. Thus, it is essential to develop computationally efficient yet accurate models that can replace costly aeroelastic simulations and data processing. To address this challenge, we propose a data-driven approach to construct surrogate models for the damage equivalent load (DEL) based on aeroelastic simulation outputs. Our method provides a quick and efficient way to calculate DEL using wind input signals without the need for time-consuming aeroelastic simulations. Our study focuses on utilizing a sequential machine learning (ML) method to map wind speed time series to DEL. Additionally, we demonstrate the versatility of the developed and trained surrogate models by testing them on a wind turbine in the wake and applying transfer learning to enhance their predictive accuracy.
STRATEGI GURU DALAM IMPLEMENTASI KURIKULUM MERDEKA UNTUK MENGEMBANGKAN LITERASI ANAK USIA DINI
Authors: Rahma A. Aulia , Bafadal Usman , Ilyas Sitti Nurhidayah , Musi Muhammad Akil , Rusmayadi
Published: November 2024

Pengembangan literasi menjadi suatu aspek yang mendasar untuk ditanamkan pada anak sejak usia dini. Dengan berlakunya kebijakan Kurikulum Merdeka, mendorong perlunya strategi dalam implementasinya. Kurikulum ini memberikan fleksibilitas bagi guru untuk menyesuaikan strategi pengajaran agar lebih efektif dalam mengembangkan literasi anak. Penelitian ini menggunakan metode kualitatif deskriptif, bertujuan untuk mengidentifikasi dan mendeskripsikan tentang strategi guru dalam implementasi Kurikulum Merdeka untuk mengembangkan kemampuan literasi anak. Data dikumpulkan melalui observasi, wawancara dan dokumentasi. Hasil penelitian menunjukan bahwa guru menggunakan beberapa strategi dalam implementasi kurikulum merdeka untuk mengembangkan literasi anak diantaranya strategi mengikutsertakan anak secara aktif dalam kegiatan bermain, kegiatan bercerita atau stimulasi dengan bercakap-cakap, menggunakan media teknologi, peran guru cukup besar dalam mengoptimalkan kemampuan literasi anak, sehingga anak menunjukkan kemampuan literasi yang baik seperti dapat mengenal huruf, membaca, menulis, berhitung dan mengenal angka, dan mampu menyampaikan pendapatnya. Implikasi dari penelitian ini menunjukkan bahwa guru perlu memiliki strategi dalam menerapkan Kurikulum Merdeka dan memanfaatkan berbagai media belajar untuk menumbuhkan kemampuan anak terhadap literasi.
PERANCANGAN TATA KELOLA TEKNOLOGI INFORMASI PADA MA DARUSSALAM PANGKALPINANG MENGGUNAKAN FRAMEWORK COBIT 2019
Authors: Faruq Vista Umar , Rapina
Published: November 2024

Baik saat ini maupun di masa depan, tata kelola layanan teknologi informasi berkembang dengan sangat cepat. Teknologi informasi sangat penting untuk kinerja organisasi, lembaga, dan perusahaan di era modern. Selain itu, teknologi informasi dapat meningkatkan efisiensi dan efektivitas pengambilan keputusan. Layanan teknologi informasi digunakan di semua bidang, terutama di bidang pendidikan. Sebagai contoh, MA Darussalam Pangkalpinang telah menggunakan teknologi informasi untuk mendukung kegiatan akademik dan bisnis, tetapi belum diaudit. Sistem informasi sekolah belum terintegrasi dan tidak dapat mendukung proses bisnis. Berdasarkan kerangka kerja Framework Control Objectives for Information and Related Technology (COBIT) 2019, penelitian ini menyelidiki perancangan tata kelola teknologi informasi (TI) di Madrasah Aliyah (MA) Darussalam Pangkalpinang. Penelitian ini menggunakan pendekatan kualitatif, di mana data dikumpulkan melalui wawancara dengan stakeholder MA Darussalam Pangkalpinang dan studi pustaka. Penelitian ini mengulas sistem informasi yang ada dan menggunakan framework COBIT 2019 untuk membuat rencana pengelolaan TI untuk MA Darussalam Pangkalpinang. Rencana ini akan membantu dan mendukung proses bisnis berjalan sesuai dengan peraturan dan persyaratan, serta meningkatkan integrasi dan efisiensi sistem informasi sekolah.
PENGEMBANGAN MICROLEARNING VIDEO 360° PADA FENOMENA EFEK FOTOLISTRIK
Authors: Sari Ika , Budi Esmar , Fitri Upik Rahma
Published: November 2024

This research aims to develop a 360° microlearning video in a modern physics course on the phenomenon of the photoelectric effect. The research uses the R&D method with the ASSURE development model which consists of (1) Analyze Learners, (2) State Standars and Objectives, (3) Select Methods, Media and Materials, (4) Utilize Technology, Media, and Materials, (5) Require Learner Participation, (6) Evaluate and Revise. However, in this study, it was carried out only up to the Utilize Technology, Media, and Materials stage. Data collection was carried out using instruments in the form of a questionnaire of initial abilities, student characteristics, interviews, and documentation to students of physics education and physics study programs at the State University of Jakarta. The results of this development research were carried out product feasibility testing by experts, namely media experts obtained a percentage achievement of 87.5% with a very feasible interpretation and material experts obtained a percentage achievement of 93.8% with a very feasible interpretation. The results of the feasibility test by experts show that the 360° video microlearning developed is very feasible to be tested on students. The final product of this research is a 360° video as a medium in accordance with the predetermined learning design. This product is published through the YouTube platform to be easily accessed by students.
Effects of Two In-Season Short High-Intensity Interval Training Formats on Aerobic and Neuromuscular Performance in Young Soccer Players
Authors: Thomakos Pierros , Tsekos Prokopis , Tselios Zacharias , Spyrou Konstantinos , Katsikas Christos , Tsoukos Athanasios , Bogdanis Gregory C.
Published: November 2024

Supplementary high-intensity interval training (HIIT) programs, focusing on different aspects of fitness, are commonly used in soccer practice. This study examined the impact of two different HIIT formats applied during the competitive season on aerobic and neuromuscular performance. Twenty-six young players from two youth amateur soccer teams (aged 18.1 ± 0.7 and 18.7 ± 1.1 years) participated. In a randomized design, Team A served as an experimental group, performing either a 10s/10s linear running HIIT or a 15s/15s HIIT with changes of direction, both at 100% of maximum aerobic speed, twice per week for six weeks. In that period, team B acted as a control group, maintaining their usual training soccer regimen. Following two weeks of lower volume and frequency training, team B added the two HIIT formats in their training for six weeks, while team A acted as control. Before and after each 6-weeks period, aerobic fitness and neuromuscular performance was evaluated by the countermovement jump (CMJ). The 3-way ANOVA showed that both HIIT formats significantly enhanced Yo-Yo Intermittent Recovery Test Level 1 (Yo-YO IR1) performance compared to the respective control periods. However, the main finding was that the 10s/10s compared with the 15s/15s HIIT format induced 45-50% greater improvements in Yo-YO IR1 (total distance: 18.5 ± 11.7% vs. 9.0 ± 8.5%, V̇O2max: 5.6 ± 3.2% vs. 3.0 ± 2.7%, and vV̇O2max: (3.3 ± 1.9% vs. 1.8 ± 1.7%, all p = 0.39, d = 0.85). Countermovement jump performance remained unchanged across both groups (p > 0.68). During HIIT rating of perceived exertion was higher in the 15s/15s vs. the 10s/10s format (6.4 ± 0.5 vs. 4.7 ± 1.2 a.u., p < 0.001). These findings suggest that while both HIIT formats effectively enhance aerobic performance during the season, the 10s/10s format offers superior benefits with less perceived exertion, while the 15s/15s format induces higher internal load.
Patient Satisfaction with Health Services (in the Building) at Jajaway Health Center Bandung City
Authors: Fauziyah Rahmah , Rejeki Yunita Fitri , Herdian Fitra
Published: November 2024

To realize good service quality, health centers must maintain the quality of their services, one way is to measure patient satisfaction. But in fact, the phenomenon that exists at the time of service at the Jajaway Health Center in Bandung City, patients still express a lack of health services provided at the health center such as waiting benches that are lacking so that patients waiting for the queue still have to stand, service hours that are still not on time, minimal information related to the health center and there are still officers who are less friendly during service. This study aims to determine Patient Satisfaction with Health Services (In Building) at the Jajaway Health Center, Bandung City. The type of research used is a quantitative method with a descriptive approach. The patient population in April 2023 in this study was 1294 respondents and the research sample used was 95 respondents. The data collection technique uses stratified random sampling. This research was conducted on July 14-19, 2023 at the Jajaway Health Center, Bandung City. The results of this study showed 2 respondents (2.1%) were very dissatisfied, 1 respondent (1.1%) was dissatisfied, 63 respondents (66.3%) were satisfied, and 29 respondents (30.5%) were very satisfied.
Reasons for Promotion of Atheism in Pakistani Universities and their Remedy (A Special Study of Islamabad Universities)
Authors: Muhammad Jameel Qureshi Dr. Sajida , Altaf Adeel Ul Hassan , Sahar Rajput
Published: November 2024

In the present era, Muslim society faces numerous intellectual, political, social, and religious challenges. Among these, one of the serious challenges is atheism. Although atheism did not have a significant impact on the general populace in the past, a review of the last few years reveals that atheistic ideologies and philosophies are rapidly influencing contemporary civilizations, including religious societies. Even though the philosophy of atheism is not a new concept, it has manifested differently over time. This indicates that atheism has now become a serious ideological and moral challenge for Muslim societies
We live in a rapidly changing society, where protecting Islamic beliefs is particularly challenging for the new young generation and the modern educated class. Atheists use all possible and available means and tools, such as print, electronic, and most notably social media, to propagate their ideas and beliefs. Using these resources, they are targeting the youth to alienate them from Islam and its teachings. Since those affected are mostly university students, this brief paper will take a statistical review of specific universities in Islamabad. In light of the Islamic perspective, we will formulate a strategy to attract young people towards Islam and propose legal, ethical, and ideological methods to protect Pakistani society from the threat of atheism.
E CONOMIC AND SOCIAL CONSEQUENCES OF THE INTRODUCTION OF BIOMETRIC PAYMENT FOR TRANSPORT SERVICES IN THE NORTH-WESTERN FEDERAL DISTRICT
Authors:   St. Petersburg State University of Aerospace Instrumentation, Bezzateeva Veronika S.
Published: November 2024

The article discusses the economic and social aspects of the introduction of a biometric payment system in the trans- port infrastructure of the Northwestern Federal District. The potential benefits and risks associated with the protection of per- sonal data and the security of the systems used are analyzed, as well as expected changes in the convenience and effective- ness of such a payment method for end users.
TECHNOLOGY OF QUALITY OF LIFE ANALYSIS, ASSESSMENT AND FORECASTING IN THE CONCEPT OF QUALITY ECONOMICS IN THE CONTEXT OF SOCIO-ECONOMIC DEVELOPMENT DIGITALIZATION
Authors:   Institute for Regional Economic Studies Russian Academy of Sciences, Gagulina Natalya L.
Published: November 2024

The quality of life contains and reflects all levels of quality, is considered as a comprehensive, integral indicator of social well-being and is the most important result of socio-economic development. In the course of achieving the goal set in the work to study the conceptual foundations of the formation of the terminological and methodological apparatus of the concept of “quality of life”, it was revealed that a fairly wide range of methods are in demand, which have found application in both the quality sciences and the life sciences. The quality economics methodology has played a special role in the devel- opment of modern research on the quality of life and the strengthening of its applied importance. The results obtained in a compact form reflect the development of scientific research on the quality of life in connection with related concepts and indicate a rapid expansion of the range of areas of research on the quality of life. The article notes the influence of digitaliza- tion and information technology on the chosen subject of research. A new view is proposed on the application of the method- ology of quality economics in conditions of dominance of branches of the knowledge economy. The prospects of modeling the quality of life based on the joint application of the quality economics methodology and an extensive group of mathemat- ical modeling methods are considered.
STRENGTHENING INTERREGIONAL INTERACTIONS AS A TOOL FOR SMOOTHING SPATIAL POLARIZATION (ON THE EXAMPLE OF REGIONS OF THE NORTHWESTERN FEDERAL DISTRICT)
Authors:   Immanuel Kant Baltic Federal University, Education and Research Cluster “Institute of Management and Territorial Development”, Anuchina Darya A.
Published: November 2024

This paper is devoted to the analysis of problems and prospects of strengthening interregional interactions. The strengthening of cooperative ties between regions has a beneficial effect not only on technological, but also on the socio- economic and spatial development of regions, thus, it can be considered as a tool to reduce spatial polarization. The article describes the regions of the Northwestern Federal District in the context of spatial polarization, analyzes the instrument of indus- trial and spatial policy – interregional clusters, analyzes the potential for the creation of new interregional clusters in the regions of the Northwestern Federal District based on the current industry specialization and, in general, to strengthen interactions between regions.
Effects of artemia and tilapia density on the ability to treat organic matter in wastewater from white leg shrimps (Litopenaeus vannamei) farming
Authors:   Institute of Aquaculture, Nha Trang University, Khanh Hoa, Vietnam, Truong Hong T. B. , Nguyen Huy D.
Published: November 2024

White leg shrimp (Litopenaeus vannamei) farming effluent contains pollutants that include high levels of total suspended solid (TSS), chemical oxygen demand (COD) and growth promoting substances. This study investigated the possibility of using artemia to filter suspended solids and Tilapia (Oreochromis niloticus) to consume organic waste of shrimp, uneaten food at the bottom of wastewater tanks of industrial shrimp farming. Both artemia and Tilapia had the ability to rapidly reduce organic matter content in wastewater of industrial shrimp farming in tanks. This contributed to reducing total suspended solid in wastewater when discharged into the environment. The biochemical oxygen demand (BOD₅), chemical oxygen demand (COD), total suspended solid (TSS) met effluent standards in Circular No. 44/2010/TT-BNNPTNT and QCVN 11-MT:2015/BTNMT in all of the investigated plots. In the surface wastewater of wastewater tanks, the remaining TSS, BOD₅, and COD contents were the lowest at 6.2 ± 1.1 mg/L, 3.9 ± 0.5 mg/L, and 8.6 ± 1.4 mg/L, respectively, in the stocking density of 300 artemia individuals/L. In the bottom wastewater, the remaining TSS, BOD₅, and COD contents were the lowest at 21.4 ± 5.1 mg/L, 8.5 ± 1.5 mg/L, and 11.6 ± 3.6 mg/L, respectively, in the stocking density of 16 Tilapia individuals/m3.
The Influence of Change Management Practices on Employee Engagement and Organizational Performance in A Competitive Business Environment: A Conceptual Review
Authors: AGBANA JOHN , Isah Iyaji Friday , Bakare AkeemAdewale
Published: November 2024

This study explores the influence of change management practices on employee engagement and organisational performance within competitive business environments. It emphasises the critical role of effective change management strategies, including clear communication, employee involvement, leadership support, and training, in fostering high levels of employee engagement during organisational transitions. Engaged employees are more likely to embrace change, contributing to improved performance outcomes such as enhanced productivity, innovation, and profitability. The study highlights organisations' challenges when managing change in fast-paced, competitive markets. It underscores the importance of prioritising employee well-being and engagement to gain a competitive advantage. By adopting agile change management practices that support employee needs and organisational goals, businesses can better navigate market dynamics and achieve sustainable long-term success. This study employs a conceptual review methodology, systematically analysing existing literature to develop a theoretical understanding of the relationships among change management practices, employee engagement, and organisational performance. Through this approach, the study identifies critical themes, models, and theories, revealing insights into how organisations can effectively manage change. Additionally, the conceptual review identifies gaps in existing literature, proposing areas for future empirical research to explore the relationship between change management and organisational outcomes.
ETHNOCULTURAL VOCABULARY AS A SOURCE OF ETHNICAL INFORMATION IN BRITISH LITERATURE
Authors: Yang L. , Karagoishiyeva D.А. , Iskakova G.N.
Published: November 2024

This article analyses S. Maugham’s and N. Hornby’s works, exploring how national values and ethno-culture are reflected in their writing.  The study focuses on their works, one classic and the other modern, revealing the peculiarities of their styles, language.  The article examines the role of phraseological units in creating character images in works of art, based on Hornby's modern English novel ‘About a boy’ and 'The Razor's Edge' by S. Maugham. Phraseology plays a crucial role in language as it helps to convey the author's true intentions. By updating the usual and occasional meanings in context, phraseological units allow readers to understand the depth and versatility of artistic images created by writers. The idiomatic and phraseological units employed by writers can be used to construct a cultural picture of nation and country. Therefore, studying the works of classic and modern writers is a significant objective in itself. The employed methods, namely comparative, cultural-historical and stylistic analysis of the collected data, contributed to the revelation of the principal approaches of the two writers in their representation of reality. The results of the study reflect the linguistic features of the prose of the two writers, including stylistic devices, fixed expressions and idioms. This enables a linguistic and literary analysis and interpretation of the British works, thus conferring practical significance upon the study. It is concluded that both writers use phrases related to their national mentality and historical periods.
МЕТАСМЫСЛЫ ХУДОЖЕСТВЕННЫХ ФЕНОМЕНОВ В ЦИФРОВУЮ ЭПОХУ
Authors: Айдарова М.С. , Каржаубаева С.М.
Published: November 2024

В статье метасмыслы художественных феноменов рассматриваются с этических, культурных и творческих аспектов в контексте эволюции цифрового информационного пространства и его инновационных технологий. Задачи осмысления специфики эволюции технологизированного искусства в новом формате потребовали привлечения интегративной методологии на основе междисциплинарного подхода. Значимость такого подхода обусловлена изменениями и трансформациями художественно-эстетических представлений, происходящими в постнеклассической реальности нашего времени. Эпоха глобальной цифровизации повлияла на мировоззрение, на человеческую жизнедеятельность, систему ценностей и коммуникаций. В свою очередь, стремительность смены мировоззренческой модели, отразилась на формировании новых ментальных и поведенческих норм и установок и, как следствие, изменении понятийного содержания и смыслов произведений цифрового искусства. Особое внимание обращает на себя социальный ракурс и интерес к многозначности метасмыслов диджитал-произведений. Можно утверждать, что смыслопорождающий потенциал цифровых композиций продиктован намеренным дистанцированием молодых художников от стереотипных приёмов к транссмысловым конструкциям в трактовке виртуальных образов. В тоже время, экспериментальный характер их творчества повлиял на расширение профессиональной искусствоведческой лексики, появление новых терминологических интерпретаций, формулировок, словосочетаний и понятий (например, «оцифровка» этики, апгрейд текстов, «networkization», вирусный контент, ремикс-культура и др.). Эпоха цифровых инноваций кардинально изменила специфику и сущностные качества самой художественной практики. Более того, алгоритмы новых инструментов изобразительности изменили репрезентационный формат, актуализировав некоторые классические жанры. Диджитал-компетентность современных художников также повлияла и на открытие новых форм. Выход за рамки профессионального мастерства, интерес к цифровым экспериментам обратного движения от медиадизайна к традиционным видам искусства стал закономерным факторам и обусловил появление новых форм. В свою очередь, новый формат «цифровых высказываний» повлиял и на оценочные критерии. Поэтому в статье особое внимание уделено аксиологическим проблемам и смысловым изменениям некоторых дефиниций и категорий в рамках так называемой неклассической эстетики. С одной стороны, смена линейного порядка эстетической реакции повлияла на интерпретационный ракурс и критерии оценки технологизированного гибридного искусства. С другой, стремительность цифровизационных процессов, сопровождающаяся сменой ценностных ориентиров, взаимоотношений в социуме, коммуникативных характеристик, поведенческих паттернов отражается на изменении картины мира и глобально влияет на формирование нового мировосприятия, становление мировоззрения новой эпохи и её метасмыслов.
THE PHENOMENON OF SOCIAL MEDIA IN THE DISCURSIVE FIELD CONTEMPORARY CHOREOGRAPHIC ART
Authors: Mirzaev A.M. , Povalyashko G.N. , Mosienko D.M.
Published: November 2024

The rapid penetration of social media into all spheres of life dictates the need to shift research attention towards the interactions between social media and art. Global conditions of prevalence have made media communications a leading field for obtaining and representing information. The multimedia tools of modern media in the field of art allow for the continuous expansion of its audience. Consequently, there is a constant search for varied mediation technologies between cultural institutions and society. The aim of the study is to examine the phenomenon of social media as a condition for the representation of the artistic process. The methodological foundation of the research is based on the key concepts of media research pioneers G. M. McLuhan, N. Luhmann, R. Margreiter, and others, as well as the works of several domestic scholars (G. Tasbergenova, G. Begembetov, and others). The main tasks of the article include clarifying key concepts and their theoretical content, as well as analyzing the strategies and tactics of art management in the Astana Ballet theater in the context of the interaction between contemporary choreographic culture and social media. The scientific and practical significance of the research is justified by the need to study and master creative tools for promoting cultural products in the media field of the art industry and the informational mission of art management as a mediator between the author, the art product, and the recipient. In Kazakhstan’s modern media space, a certain experience has been accumulated in influencing society through regular communication about various events in artistic life. An analysis of the PR digital tools used by the Astana Ballet theater reveals their potential for image-building. In its early stages, the theater utilized traditional PR methods with minimal digital content. However, the pandemic amplified the marketing potential of social networks, and now a large part of Kazakhstan’s society turns to media content. The key conclusion is the necessity for the theater to be present not only in sources of information but also in places where like-minded people communicate. The value of this research on the role of social media in the context of contemporary choreographic theater is highlighted by the practical significance of modern art management tools, which open up opportunities for cultural events to influence Kazakh society.
Small Area Estimation using Multilevel Regression and Poststratification to Estimate Cannabis Use in the State of Montana
Authors: Chase Walker  , Kristal Jones  , Brandn Green  , Frances Kim
Published: November 2024

Background: Small area substance use prevalence estimates at the county, city, or congressional district level are generally unavailable. In this study, we design a cannabis use survey for the state of Montana and use multilevel regression and poststratification (MRP) to generate county-level population prevalence estimates for past year cannabis use. Methods: We developed a survey that asks questions about cannabis perceptions and use patterns. We analyzed the survey data specifically for the outcome variable of past year cannabis use using MRP to generate population level prevalence estimates at the county level for the state of Montana. Results: We received 1,958 responses from our survey. We generated county level estimates by age group for cannabis use over the past year and found that MRP estimates were consistent with prior estimations of cannabis use at the state level and provided the ability to use additional data and validated assumptions to refine and downscale estimations of cannabis use, particularly in counties with low response rates. Conclusion: Multi-modal survey dissemination was cost effective, but future surveys should intend to recruit a larger and more representative sample to minimize selection bias and improve estimation for demographic sub-groups. Overall, MRP provided a promising methodology for generating small-area cannabis use prevalence estimates, adjusting as much as possible for non-representativeness and non-response.
Tra testo letterario e tradizione musicale: spunti veneziani
Authors:   Università degli Studi di Roma “La Sapienza”, Del Cengio Martina
Published: November 2024

Approfondire la fortuna musicale dei testi lirici può rivelarsi una pista d’in-dagine proficua sia per delineare le dinamiche di un determinato ambiente culturale, sia per le sue implicazioni ecdotiche, laddove consente, in alcune circostanze, di imbattersi in varianti testuali e di suggerire un’ipotesi di datazione dei testi. Attraverso alcuni affondi sulla tradizione in musica di alcune rime di Domenico Venier, Sperone Speroni, Girolamo Fenarolo e Girolamo Molin, il saggio si propone di avviare una riflessione sul conte-sto veneziano di pieno Cinquecento, scena connotata da una fitta trama di intersezioni tra la sfera musicale e poetica.
Factors affected housing prices: taking Boston as an example
Authors: Wang Ao
Published: November 2024

Abstract. Real estate price prediction plays a vital role in urban planning, investment decision-making, and risk management. However, existing prediction models often show problems such as insufficient generalization ability and susceptibility to outliers when faced with complex nonlinear relationships, multidimensional features, and noisy data. Therefore, choosing a model that can accurately capture complex patterns and has strong robustness has become the focus of research. This paper introduces the random forest model and compares it with multivariate linear regression, XGBoost, and support vector machine (SVM). Compared with the traditional regression model, the random forest model combines the flexibility of decision trees and the multi-level feature extraction ability of deep learning, and can better handle the complex nonlinear relationships in the Boston housing price dataset. The experimental results show that the random forest model has achieved excellent performance in all evaluation indicators, and the model accuracy indicators are distributed as MSE=8.2502, RMSE=2.8723, MAE=2.0668, and R^2=0.8875. These results show that the random forest model not only outperforms other models in prediction accuracy but also shows significant advantages in dealing with data complexity and improving generalization ability. Therefore, the random forest model provides an efficient and reliable tool for future real estate price prediction research and applications.
Determinants of AI performance and their effect on national GDP: an empirical study
Authors: Zhang William Xiaoci
Published: November 2024

Abstract. Artificial intelligence is one of the most widely discussed topics in recent years, remarkably following the pandemic. During the pandemic, numerous industries and organizations have focused on the development of artificial intelligence due to the shift to remote learning and working. This shift also caused expanded investments and research on AI driven by the growing demand of for AI-powered tools across various sectors such as education, healthcare, and business. This paper analyses the determinants of AI performance and examines the relationship between a countrys AI performance and its economic growth, measured by Gross Domestic Product (GDP). This paper employs Pearson Pairwise Correlation Multiple Linear Regression, and Simple Linear Regression models with a sample of 62 different countries to uncover the most influential factors impacting a country's AI performance and its subsequent influence on GDP. During the process of constructing the multiple linear regression model, this paper also evaluates the collinearity diagnostics such as VIF and tolerance level to prevent multicollinearity. This study finds that a countrys innovation skill, featuring its research and development capabilities, is the primary driver influencing its success in AI development. Subsequently, this paper concludes that advanced AI performance can significantly contribute to a countrys economic growth, further emphasizing the importance of progressive AI development.
Number theory based modern cryptography: RSA and Diffie-Hellman algorithms
Authors: Hou Bo
Published: November 2024

Abstract. In the twenty-first century, the Internet has grown rapidly. Cryptography, with the protection of number theory as an important guarantee for the Internet, is critical to study, and algorithms must be updated to keep up with the evolution of the digital world. With the rapid spread of the Internet, security flaws in certain algorithms have been exposed, generating widespread alarm. This literature review focuses on the introductions of the Rivest-Shamir-Adleman (RSA) and Diffie-Hellman algorithms, integrating and summarizing previous research. The content of this literature review includes an introduction to algorithms and number theory, specific applications of these algorithms, and security issues associated with them. Finally, this literature review concludes that RSA and Diffie-Hellman are inefficient and insecure in some sectors of application, necessitating the use of alternative algorithms or the replacement of some unique encryption methods to achieve the desired level of safety.
Evaluating the effectiveness of elastic net model in predicting stock closing price
Authors: Ding Haoyang
Published: November 2024

Abstract. Accurate stock price prediction is important for financial investors, as it directly influences investment strategies and decision-making. In this study, the author focuses on evaluating the effectiveness of the Elastic Net model in forecasting the closing prices of Apple Inc.'s stock. The dataset, spanning from 2014 to 2023, is sourced from Kaggle and includes both historical prices and a range of technical indicators, thereby ensuring the accuracy and reliability of the research data. To enhance the predictive accuracy of the model, this paper carefully selects the 14-day moving average of the closing prices along with a set of relevant technical indicators as the key input variables. This selection aims to capture the underlying trends and patterns in the stock's price. The predictive performance of the Elastic Net model is evaluated using multiple evaluation metrics, including Mean Squared Error (MSE) and R-squared values, which quantify the model's accuracy and explanatory power. Additionally, this paper utilizes the Autocorrelation Function (ACF) plot to analyze the residuals and further validate the model's effectiveness. The results demonstrate that the Elastic Net model is well-suited for handling high-dimensional financial data, exhibiting strong performance in predicting Apple Inc.'s stock prices. However, it also underscores the model's potential problem as a valuable tool for investors seeking to make proper decisions in real-life conditions.
Assessing the impact of natural hazards on U.S. cotton yields: a random forest analysis of drought, wildfires, and hurricanes (2012-2023)
Authors: Qin Yasong
Published: November 2024

Abstract. The cotton industry is essential in the world. This paper investigates the impacts of natural hazards, particularly drought, wildfires, and hurricanes, on cotton yield (LB/Acre) in 14 major cotton-producing states in the United States from 2012 to 2023. The paper uses a random forest model with drought severity and cover index (DSCI), number of wildfire alerts, and number of hurricanes and their interactions as influencing factors on cotton yield. The results shows that wildfires were most likely to affect cotton yield among the three major categories of natural hazards, and hurricanes did not significantly affect cotton yield. Cotton yield decreases significantly in years with severe drought and high wildfire activity. In addition, the study emphasizes the compounding impact of these hazards, suggesting that the interaction between drought and wildfires exacerbates the effects on cotton yields. Overall, cotton growers and local authorities need substantial mitigation and adaptation strategies for wildfires and droughts.