bluuebunny/crossref_metadata_2025 huggingface dataset:
ТЕРМОДИНАМИКА ОБРАЗОВАНИЯ ПОВЕРХНОСТНОГО МИКРОПУЗЫРЬКА
Authors: КОШОРИДЗЕ  С.И. , ЛЕВИН  Ю.К.
Published: February 2025

Проведен термодинамический анализ образования равновесного заряженного микропузырька на гладкой гидрофобной поверхности раздела вода – твердое тело с учетом капиллярной формулы Кельвина. Критический радиус образования пузырька не зависит от характерного контактного угла между жидкой и твердой фазами. Определена необходимая для механического равновесия поверхностная плотность заряда пузырьков. Критический радиус обратно пропорционален внешнему давлению. Показано, что наиболее перспективные для практического применения наноразмерные пузырьки на гладкой поверхности раздела не образуются.

The thermodynamic analysis of the formation of an equilibrium charged microbubble on a smooth hydrophobic surface of the water - solid interface with the capillary Kelvin formula is carried out. The critical radius of bubble formation does not depend on the characteristic contact angle between the liquid and solid phases. The surface charge density of bubbles necessary for mechanical equilibrium is determined. The critical radius is inversely proportional to the external pressure. It is shown that the most promising nanoscale bubbles for practical application are not formed on the smooth surface of the interface.
НАУЧНО-МЕТОДИЧЕСКАЯ И ПЕДАГОГИЧЕСКАЯ ДЕЯТЕЛЬНОСТЬ ПРОФЕССОРА АЛЛЫ ЕФИМОВНЫ МАЛЫХ
Authors: ВАСИЛЬЕВА  Г.Н. , МУСИХИНА  И.В.
Published: February 2025

В статье раскрываются научно-методическая и педагогическая стороны деятельности Аллы Ефимовны Малых, доктора физико-математических наук, профессора Пермского государственного гуманитарно-педагогического университета. Рассматривается одна из сторон многогранной научно-методической деятельности Аллы Ефимовны – умение популяризировать энциклопедические историко-математические знания до уровня студентов и учащихся общеобразовательной школы. А.Е. Малых уделяла большое внимание подготовке будущих учителей математики к проведению мероприятий исторической тематики, что нашло отражение в многочисленных методических статях и разработках. Уникальный пример такой разработки – историко-математический конкурс.

The article reveals the scientific, methodological and pedagogical aspects of the activities of Alla Efimovna Malykh, doctor of physical and mathematical sciences, professor of the Perm State Humanitarian and Pedagogical University. One of the sides of the multifaceted scientific and methodological activity of Alla Efimovna is considered – the ability to popularize encyclopedic historical and mathematical knowledge to the level of students and pupils of secondary schools. A.E. Malykh She paid great attention to the preparation of future teachers of mathematics to conduct events of a historical theme, which was reflected in numerous methodological articles and developments. A unique example of such a development is a historical and mathematical competition.
ИСТОРИКО-МАТЕМАТИЧЕСКОЕ НАСЛЕДИЕ АЛЛЫ ЕФИМОВНЫ МАЛЫХ
Authors: РИХТЕР Т.В.
Published: February 2025

В статье выявлен, оценен и систематизирован вклад доктора физико-математических наук, профессора Аллы Ефимовны Малых в развитие истории математики, как науки (выявление и оценка математического наследия выдающихся ученых прошлого и современности, таких как К.-Ф. Гинденбург, Е.Г. Гонин, Г. Грассман, Г.С. Клюгель, А.Н. Колмогоров, П.Я. Кочина, Г.В. Лейбниц, Л.Ф. Магницкий, П.Р. Монмор, Л. Оттингер, Г.А. Роте, К.А. Рыбников, Дж. Сильвестр, Л. Эйлер, К.Г.Я. Якоби и др.; описание и систематизация исторических фактов развития комбинаторного анализа, теории разбиений и определителей, перестановок и подстановок, конструктивной геометрии и ее приложений). Многие исследования А.Е. Малых посвящены анализу исторических аспектов формирования, развития и приложений основных математических методов, инфинитезимальных методов в Древней Греции.

The article identified, evaluated and systematized the contribution of Doctor of Physical and Mathematical Sciences, Professor Alla Efimovna Malykh to the development of the history of mathematics as a science (identifying and evaluating the mathematical heritage of outstanding scientists of the past and present, such as K.-F. Hindenburg, E.G. Gonin, G. Grassman, G.S. Klugel, A.N. Kolmogorov, P.Ya. Kochina, G.V. Leibniz, L.F. Magnitsky, P.R. Monmor, L. Ottinger, G.A. Rote, K.A. Rybnikov, J. Silvestre, L. Euler, KGJ Jacobi, and others; description and systematization of historical facts of the development of combinatorial analysis, the theory of partition definitions, permutations and substitutions, constructive geometry and its applications). Many studies A.E. The minor ones are devoted to the analysis of the historical aspects of the formation, development and applications of the basic mathematical methods, infinitesimal methods in ancient Greece.
ОПРЕДЕЛЕНИЕ АСИМПТОТИКИ КОЛИЧЕСТВА НАТУРАЛЬНЫХ РЕШЕНИЙ НЕКОТОРЫХ ТИПОВ ДИАГОНАЛЬНЫХ ДИОФАНТОВЫХ УРАВНЕНИЙ
Authors: ВОЛЬФСОН В.Л.
Published: February 2025

Диофантовы уравнения используются для исследования сложных дискретных систем. Обычно при поиске их оптимальных структур. Определение количества натуральных решений диофантовых уравнений используется в экономике. Например, при определении количества вариантов составления плана и.т.д. В данной работе будут получены асимптотические оценки сверху количества натуральных решений следующих диагональных диофантовых уравнений в гиперкубе со стороной N.

Diophantine equations are used to study complex discrete systems. Usually when searching for their optimal structures. Determining the number of natural solutions of Diophantine equations is used in economics. For example, when determining the number of options for drawing up a plan, etc. In this paper, we obtain asymptotic upper bounds for the number of natural solutions of the following diagonal Diophantine equations in a hypercube with side N.
О СХОДИМОСТИ АЛГОРИТМОВ ПОИСКА ЭКСТРЕМУМА НА ОСНОВЕ ГРАДИЕНТНЫХ МЕТОДОВ
Authors: РЕУТОВ В.Г.
Published: February 2025

Рассматривается распространенная задача численного поиска экстремума с использованием градиентных методов, решаемая как для определения оптимальных значений параметров системы на этапе проектирования, так и в реальном времени в аппаратуре адаптивных и корреляционноэкстремальных навигационных систем. Возможные практические подходы к оценке устойчивости и характера процесса поиска экстремума иллюстрируются примерами, в которых оптимизируемая функция допускает аналитическое представление.

We consider a common problem of numerical search of extremum using gradient methods, which is solved both to determine the optimal values of the system parameters at the design stage and in real time in the equipment of adaptive and correlationextreme navigation systems. Possible practical approaches to assessing the stability and nature of the extremum search process are illustrated by examples in which the optimized function allows analytical representation.
Efficient nickel precatalysts for Suzuki-Miyaura cross-coupling of aryl chlorides and arylboronic acids under mild conditions
Authors: Stewart Scott , John Morgan , Nutt Michael , Offer Josephine , Duczynski Jeremy , Yamazaki Ken , Miura Tomoya , Moggach Stephen , Koutsantonis George , Dorta Reto
Published: February 2025

The synthesis and catalytic properties of Ni(II) complexes, with the general formula Ni(NHC)[P(OR)3](Ar)Cl is described. These complexes are air-stable and extremely effective precatalysts in the Suzuki-Miyaura cross-coupling reaction. The reaction protocols described allow for the cross-coupling of aryl chlorides and arylboronic acids, employing low catalyt-ic loading, to deliver a large variety of functionalized biaryl compounds. For the coupling of aryl chlorides with N-heterocyclic boronic acids, TBAF was used as an additive to afford aryl-N-heterocyclic products. Overall, these cross-coupling protocols operate at room or mild temperatures and can be applied to a variety of electronically and sterically differentiated coupling partners. Fundamental insights into the mechanism of this reaction, including the proposed for-mation of the catalytically active Ni(NHC)[P(Oi-Pr)3] and resting state species are also reported.
Synthesis and Biological Evaluation of Thiosemicarbazone-based Antibody-Drug Conjugates
Authors: Sheernaly Nandan , Shajan Irene , Steinbrueck Axel , Albada Bauke , Metzler-Nolte Nils
Published: February 2025

Metal chelators belonging to the di-pyridyl-thiosemicarbazone (DpTs) class have shown great promise as adjuvant therapeutics for treating cancer, with DpC and Dp44mT emerging as the lead candidates. Despite their potency, these molecules also induce various undesirable side effects due to insufficient cancer cell targeting, highlighting the need to improve their selectivity. Here, we present a first generation of DpT-antibody conjugates. To this end, we developed a facile synthesis to functionalize DpTs strategically with click-able azido linkers. Moreover, selective side-chain modification of the clinical antibody trastuzumab (Tras) with a complementary bisalkyne moiety is described. Using this new chemistry, we conjugated four different azido DpTs to trastuzumab via a combination of strain-promoted oxidation-controlled ortho-quinone (SPOCQ) cycloaddition and strain-promoted alkyne-azide click (SPAAC) chemistry. We evaluated the antiproliferative activity of the resulting novel antibody-drug conjugates (ADCs) against MCF-7 and SK-BR-3 cell lines. Linker positioning on the DpT scaffold significantly influences the cytotoxicity of the conjugates. For instance, conjugating Tras at the ortho position on the Dp44mT scaffold results in a more toxic conjugate than conjugating at the para position with IC50 values of 25.7 ± 5.5 nM and 103.5 ± 2.0 nM, respectively, against MCF-7 cells. Furthermore, we observe intriguing cell line-dependent activity of the ADCs with increased selectivity towards MCF-7 cells, providing novel insights into the cytotoxic activity of DpTs and their antibody conjugates.
Reaction network analysis of organochloride mediated oxidation induced by ionizing radiation
Authors: Liu Juncheng , Xu Bing , Uslamin Evgeny , Pidko Evgeny , Denkova Antonia , Eelkema Rienk
Published: February 2025

The generation of organoperoxy radical by irradiating aqueous solutions of organochlorides depends on the concentration of organochloride, where low concentration results in low yield of reactive oxygen species (ROS). The need of high concentration of organochloride limits the application in cancer therapy as most small molecule organochlorides show liver toxicity at elevated concentrations. To study if the oxidation is feasible at low concentration of organochloride, we proposed a reaction network where the effect of molecular oxygen is included. We hypothesized that oxygen competes with the organochloride to react with aqueous electrons, thereby causing a low yield of ROS at low organochloride concentrations. However, oxygen is necessary in the ROS formation pathway, which complicates straightforward prediction of reaction outcome. We developed a mathematic model to simulate the yield of ROS depending on organochloride and oxygen concentrations. The simulated results indicate that at low organochloride concentration, decreasing oxygen concentration leads to higher yield of ROS, with a peak at approximately 2% partial pressure of oxygen, and oxygen lower than 2% results in a sharp yield drop of ROS. Experiments using a thioether as reductant to quantify the ROS formation show good agreement with simulated data, verifying the proposed network. After irradiation in phosphate buffer saline/organochloride, a thioether caged drug showed efficient uncaging yield, demonstrating the viability of using thioether as a radiation-sensitive group.
Metal-Catalyzed Fluoroacetyl Carbene Transfer from Sulfonium Salts
Authors: Sperga Arturs , Kinens Artis , Veliks Janis
Published: February 2025

The synthesis of organofluorine compounds is vital in developing innovative pharmaceuticals, materials, and agrochemicals. Fluorinated carbene transfer offers a promising strategy for forming new carbon-carbon and carbon-heteroatom bonds, facilitating the incorporation of fluorine into target structures. In this study, we introduce a novel fluoroacetyl sulfonium reagent, (2-ethoxy-1-fluoro-2-oxoethyl)(phenyl)(2,3,4,5-tetramethylphenyl)sulfonium tetrafluoroborate (1), serving as an effective alternative to the currently unknown 2-diazo-2-fluoroacetate for ethyl fluoroacetyl carbene transfer. This reagent is applied in Doyle-Kirmse and cyclopropanation reactions, operating under mild conditions with the use of earth-abundant metal catalysts. This approach enables the efficient synthesis of valuable monofluorinated products.
Structural basis of Bis-quinolinium scaffolds binding to Quadruplex-duplex hybrids from PIM1 oncogene
Authors: Ghosh Anirban , Harnoš Jakub , Stadlbauer Petr , Sponer Jiri , Zivkovic Martina Lenarcic , Trantírek Lukáš
Published: February 2025

This study investigates the interactions of two bis-quinolinium ligands, Phen-DC3, and 360A, with G-quadruplex-duplex hybrids (QDHs), focusing on the different QDH constructs from the PIM1 oncogene. Using solution NMR spectroscopy and molecular dynamics simulations, we show that both ligands selectively bind the hybrid QDH conformation while exhibiting negligible affinity for the antiparallel topology. High-resolution NMR structures reveal that both ligands localize at the G-quadruplex-duplex (Q-D) junction but with distinct binding dynamics. Our results indicate that ligand binding specificity depends on factors such as ligand structure and the Q-D interface's integrity rather than the base pair's nature or the length of the lateral duplex domain. Stable capping structures, such as the G-C-G-C quartet in antiparallel PIM1 QDH, hinder specific binding with high affinity. Notably, a single Watson-Crick base pair in the lateral loop, stacked with the G-tetrad, suffices for accommodating bis-quinolinium ligands. The strong binding affinity and specificity of Phen-DC3 and 360A for hybrid QDHs in the Xenopus laevis oocytes suggest their potential for selectively targeting QDH structures under complex cellular environments. Our findings offer valuable insights into conformational fluctuations of G-rich sequences using small molecule-based ligands for therapeutic, biotechnological, and nanotechnology applications.
Iodine in the Atmosphere II: Cluster Formation Potential of Iodine Oxyacids and Iodine Oxides
Authors: Engsvang Morten , Elm Jonas
Published: February 2025

Iodine-driven nucleation is thought to be a significant source of new particle formation, especially in marine and polar regions. Despite numerous studies, the mechanism is still not fully understood. To shed further light on this, we apply ZORA-DLPNO-CCSD(T_0)/TZVPP//ωB97X-D3BJ/aug-cc-pVTZ-PP to calculate the thermochemistry of iodine-containing clusters up to tetramers, and simulate the cluster formation potential for several nucleation paths using the atmospheric cluster dynamics code (ACDC). We find that iodine oxyacid--amine nucleation can be competitive with sulfuric acid--amine nucleation if iodic acid is present in a 10:1 ratio compared to sulfuric acid. Therefore, the importance of the iodine-driven pathway is regionally dependent. Likewise, we find that increasing the relative humidity from 34% to 73% only changes the cluster formation potential by a factor of 2. Nucleation pathways consisting of only iodic and iodous acid are unable to explain the relative nucleation rates previously observed in experiments. In contrast, the simultaneous nucleation of iodine oxides, assisted by iodine oxyacids, is better able to describe the trend. This indicates that a nucleation pathway starting with iodine oxides is more likely to be able to explain observed particle numbers. However, this current model does not include all the hydrates of the clusters and does not account for the hydrolysis reactions of the iodine oxides. This would need to be incorporated in future studies.
Qseek: A data-driven Framework for Automated Earthquake Detection, Localization and Characterization
Authors: Isken Marius , Heimann Sebastian , Niemz Peter , Münchmeyer Jannes , Cesca Simone , Vasyura-Bathke Hannes , Dahm Torsten
Published: February 2025

We introduce a data-driven method and software for detecting and locating earthquakes in large seismic datasets. By combining seismic phase arrival annotations, delivered by neural network phase pickers, and waveform stacking with an adaptive octree search, we can automatically detect and locate seismic events even in noise-dominant seismic data. The resolution of the search volume is iteratively refined toward the seismic source location; this strategy facilitates an efficient, fast, and accurate search. We present a user-friendly and high-performance open-source software framework based on established frameworks, featuring event detection in layered 1D and complex 3D velocity models and event feature extraction capabilities, such as moment and local magnitude calculation from peak ground motions. We incorporated station-specific corrections and source-specific station terms into the search to enhance the location accuracy. We demonstrate and validate our approach by extracting extensive earthquake catalogs from large seismic datasets in different regions and geological settings: (1) Reykjanes Peninsula, Iceland; (2) Eifel volcanic region, Germany; and (3) Utah FORGE, USA. We capture seismic events from tectonic activity, volcanic swarms, and induced microseismic activity with magnitudes ranging from -1 to 5. Such precise and complete earthquake catalogs contribute to the interpretation and understanding of otherwise hidden subsurface processes.
E-Commerce product recommendation using machine learning techniques
Authors: Navachaitanya S.
Published: February 2025

Machine learning is progressively being adopted by e-commerce platforms to enhance the shopping experience for consumers. By utilizing machine learning, large user datasets are analyzed to effectively forecast customer preferences, allowing for more relevant and personalized recommendations. Techniques such as collaborative filtering predict interests based on groups of similar users, while clustering, or segmentation, is employed for both users and items. This approach helps mitigate issues related to data sparsity and the cold-start challenge when it comes to generating valuable recommendations. Representation learning, particularly through deep neural networks, can capture complex patterns, which lead to high-quality recommendations. Additionally, LightGBM has shown enhancements in performance efficiency and its ability to manage very large data sets effectively. Hybrid models combine collaborative filtering with content-based filtering to achieve greater precision in recommendations. This review discusses cutting-edge ecommerce recommendation systems and how these advanced machine learning strategies work together to improve customer satisfaction, drive sales growth, and enhance competitiveness in the evolving e-commerce landscape.
An artificial intelligence approach to lung cancer diagnosis using LungNet-TL model
Authors: Quba Jaslin C. , Jerusalin Carol J. , Lenin Fred A.
Published: February 2025

Lung cancer is one of the deadliest types of cancer worldwide, and early diagnosis is critical for improving patient outcomes. This study proposes LungNet-LT, a novel deep learning model specifically designed for detecting and classifying lung cancer using medical imaging data. The LungNet-LT model enhances feature extraction from computed tomography (CT) scans and X-ray images by integrating convolutional neural networks (CNNs) with transfer learning techniques. Compared to conventional diagnostic methods, LungNet-LT demonstrates substantial improvements in classification sensitivity, specificity, and accuracy by leveraging a pre-trained model fine-tuned on lung-specific datasets. Advanced image processing techniques are incorporated to reduce noise and improve cancer cell localization, enabling more reliable predictions for both early-stage and advanced lung cancer cases. The performance of LungNet-LT is validated on publicly available lung cancer datasets and a curated clinical dataset from a partner hospital. Results indicate that LungNet-LT achieves a diagnostic accuracy of over 98.9%, with a significant reduction in false positives and false negatives. These findings highlight the potential of LungNet-LT as a powerful tool to assist physicians in diagnosing lung cancer and improving patient outcomes through prompt and precise actions.
Optimized hybrid model combining hidden markov and stochastic neural networks for groundwater quality forecasting in Kanyakumari, Tamil Nadu, India
Authors: Annie Jose , Srinivas Y.
Published: February 2025

Groundwater quality is an important environmental concern, particularly in areas like Kanyakumari District, Tamil Nadu, where there is heavy reliance on groundwater for drinking and agriculture. To manage underground resources sustainably, understanding groundwater quality parameters is essential. In this study, a novel hybrid model that combines the strengths of the Hidden Markov Model (HMM) and Stochastic Neural Network (SNN) is employed to predict the quality of groundwater in the study area with high accuracy. Utilizing groundwater quality indicators such as pH, EC, TDS, major ions, and minor ions, along with rainfall data (since it is one of the factors influencing groundwater quality in the study area), the HMM captures latent sequential patterns within the dataset, transforming the features to enhance SNN classification. The model's performance is further optimized, achieving an overall accuracy of 97%. Additionally, the confusion matrix, classification report, Cohen Kappa score, and Matthews correlation coefficient are used to assess the model's performance. The training and testing accuracy are used to evaluate the generalization of unseen data. This study contributes to the development of advanced tools for groundwater management.
Analysis of the Impact of Legal Digital Currencies on Bank Big Data Practices
Authors: Xiu Zhengkun
Published: February 2025

This paper analyzes the advantages of legal digital currencies and explores their impact on bank big data practices. By combining bank big data collection and processing, it clarifies that legal digital currencies can enhance the efficiency of bank data processing, enrich data types, and strengthen data analysis and application capabilities. In response to future development needs, it is necessary to strengthen data collection management, enhance data processing capabilities, innovate big data application models, and provide references for bank big data practices, promoting the transformation and upgrading of the banking industry in the context of legal digital currencies.
Audit Recommendations for Final Accounts of Photovoltaic Power Generation Projects
Authors: Jia Jigang
Published: February 2025

With the continuous adjustment of the energy structure, photovoltaic (PV) power generation projects are increasing, playing a crucial role in promoting the application of clean energy. However, the current audit of completed final accounts for photovoltaic power generation projects faces many challenges, such as incomplete institutional processes, scattered archive management materials, inadequate digital intelligence systems, and insufficient analysis of final account amounts. Based on this, this article aims to deeply analyze these issues and propose targeted audit suggestions to standardize the construction and audit work of photovoltaic power generation projects and promote the sustainable and healthy development of the photovoltaic power generation business.
Issues and Countermeasures in Energy Measurement Management of Thermal Power Enterprises
Authors: Li Kunyang
Published: February 2025

To promote energy conservation, emission reduction, and sustainable development in thermal power enterprises, this study conducted a detailed analysis of the problems existing in measurement management in these enterprises and explored targeted solutions. The analysis found that, faced with increasingly stringent environmental protection requirements and urgent needs to improve energy efficiency, thermal power enterprises must address the current issues in energy measurement management. They should actively respond to the national call for energy conservation and emission reduction, continuously optimize energy measurement management processes, improve energy utilization efficiency, reduce unnecessary energy consumption and emissions, and lay a solid foundation for the green transformation and sustainable development of the industry.
Preliminary Study on Irradiation Device of Fission Molybdenum-Technetium Production Based on China Advanced Research Reactor
Authors: Shi Shi
Published: February 2025

As a multipurpose research reactor, fission molybdenum-technetium irradiation production is one of the wide applications of China Advanced Research Reactor CARR. The goal of this study is to achieve “online loading and unloading” of the target during fission molybdenum-99 (99Mo) to technetium-99m (99mTc) irradiation production without affecting the normal reactor operation and other irradiation channels, which will make CARR more efficient in performing irradiation tasks. This paper introduces the design principles, requirements and concept structural design of the irradiation device of fission 99Mo-99mTc.
Overview of Automatic Spraying Technology for Building Exterior Walls
Authors: Chen Jianheng
Published: February 2025

The spraying robot for building exterior walls is an innovative technology in the field of modern construction. This paper discusses its design structure, application cases, technical benefits, and industrial impacts. Research shows that this type of robot improves the efficiency and quality of exterior wall construction. Its intelligent design enhances operation accuracy and safety, reduces costs and risks, and strengthens application ability in complex environments, showing broad application prospects and symbolizing the development trend of intelligence and automation in the industry. In the future, it is necessary to strengthen its intelligence and adaptive ability further, explore multi-function design, promote automation technology, and ensure construction safety and economic benefits.
Intelligent Irrigation System for Agricultural Greenhouse Adaptive to Crop Growth Law
Authors: Wan Haicheng , Wang Shanping , Dong Qifan , Jia Hongyu
Published: February 2025

Greenhouse planting is a key method for increasing the yield of agricultural products in China. The Academy of Agricultural Sciences has conducted extensive research on the water requirements of greenhouse crops during various growth stages. Studies indicate that crops in the germination stage, seedling stage, and other stages of their growth cycle have different water needs. Proper irrigation can significantly enhance both crop quality and yield. To apply the Academy of Agricultural Sciences’ expertise on irrigation during different growth stages to practical farming, and to avoid improper irrigation at specific stages that could reduce crop production and quality, our team has designed an intelligent irrigation system for agricultural greenhouses. This system adapts to the growth patterns of crops by establishing an irrigation model based on characteristic images of each growth stage and irrigation data provided by the Academy. Using image recognition technology, the system accurately identifies the growth stage of crops. It then employs a pre-set irrigation curve and data from humidity sensors to execute precise irrigation through a closed-loop Proportion-Integral-Differential (PID) control system. This ensures optimal water management, leading to improved crop quality and yield.
Design of Intelligent Garbage Handling Trolley Based on Single Chip Microcomputer
Authors: Ning Yaxuan , Li Changlu
Published: February 2025

This paper introduces an intelligent garbage-handling trolley model based on an STM32 single chip microcomputer as the control core. The device is driven by four independent motors to achieve automatic tracking, automatic obstacle avoidance, and fixed-point docking. Using external execution structure to realize the car without the use of a mechanical arm, complete garbage collection, storage, and uninstall function. On this basis, the type of garbage is marked by color, and the color recognition sensor is applied to realize the type recognition after garbage collection and put into the corresponding unloading point, to realize its intelligent classification function. It can automatically complete the established task autonomously.
High-Power Laser Technology and Industrial Development Research
Authors: Guo Can
Published: February 2025

High-power laser technology is widely used in manufacturing processing, medical diagnosis, and treatment, and is one of the important fields of strategic high-tech competition in China at the moment. In the context of industrial upgrading, high-power laser technology plays an important role in leading the development of the manufacturing industry and industrial intelligence. Based on this, this paper carries out research on high-power laser technology and industry, summarizes the basic principle and classification of high-power laser technology, analyzes the current status of high-power laser technology industry, points out the opportunities and challenges faced by the industry development, puts forward suggestions to promote the development of high-power laser technology industry, and to provide an effective reference for the application and development of high-power laser technology.
Інклюзивне фізичне виховання школярів, вимушених переселенців
Authors: Bodnar Ivanna , Sofinsky Roman
Published: February 2025

Topicality. Inclusive physical education is an important aspect of the education system that ensures equal access to physical activities for all children, including those who have experienced the trauma of war. The aim is to highlight the significance of inclusive physical education for displaced children; establish the specifics of working with them; examine the impact of social-emotional and physical challenges these children face in the new learning environment; identify modern theories, approaches, and methods in inclusive education and physical education for displaced children, as well as their psychophysical rehabilitation. Methods. The analysis of scientific articles and online data was conducted. The methods of synthesis and generalization of data were applied. Results. In times of war, it is important to develop inclusive physical education methodologies that take into account the physical, psychological, and social needs of children, particularly internally displaced persons. This enables the creation of equal opportunities for all children and supports them in the processes of physical rehabilitation, socialization, and psychological recovery. Inclusive physical education, which combines adapted physical exercises with therapeutic methods, is a vital tool for helping children who have experienced the trauma of war. It not only promotes their physical development but also supports emotional recovery and social integration. Physical exercises adapted to the needs of children affected by war can significantly reduce stress, anxiety, and aggression levels, as well as foster collaboration and mutual support among children, particularly among displaced persons. This enhances their motivation for physical activity and helps overcome social barriers, contributing to emotional recovery. Inclusive physical education helps children who have experienced war, especially displaced children, overcome social barriers by establishing connections with peers and improving teamwork skills through group interaction. The development of organizational and methodological approaches in teaching is essential for improving physical education and rehabilitation outcomes during the Russian-Ukrainian war. Conclusion. The issue of inclusive physical education for displaced schoolchildren remains important but under-researched. These children may not have experienced direct traumatic impacts from combat, yet they suffer from a combination of factors affecting their well-being.
“Пліч-о-пліч” – всеукраїнські шкільні ліги» як дієвий засіб залучення дітей до занять спортивним орієнтуванням
Authors: Voitovych Iryna , Demianchuk Olena , Dedeliuk Nina
Published: February 2025

Relevance. The main means of popularizing orienteering among schoolchildren are mass sports events, and the larger their scale, the more children can be interested and involved. One of them was the All-Ukrainian competition «“Shoulder to Shoulder” – All-Ukrainian School Leagues».The Purpose of the Study was to analyze the experience of involving children in orienteering as part of preparation and participation in these competitions on the example of the Volyn oblast. Methods analysis and synthesis of scientific literary sources, systematization of the obtained results, questionnaires, the method of mathematical statistics. Results of the Study. «“Shoulder to Shoulder” – All-Ukrainian School Leagues» is the largest physical culture and sports event among students of institutions of general secondary education, as it combines five types of sports, including orienteering. It was held for the first time in the 2023–2024 academic year and included five stages: from school level to all-Ukrainian. 133 teams from Volyn oblast were registered for the 1st stage of the competition «“Shoulder to Shoulder” – All-Ukrainian School Orienteering League», of which 107 teams took part. Five teams participated in the IV stage: four from rayons and one from oblast center, which won. In educational institutions, a total of 315 children were engaged in the school stage from teams that won the opportunity to participate in oblast level competitions. It was determined that 75,0 % of the young athletes who took part in rayon stage were not previously engaged in orienteering, and 94,2 % of the schoolchildren of the winning team of Lutsk Lyceum No. 11 expressed a desire to be engaged in orienteering in the future. Preparation for the oblast stage included two classes per week for all participating teams of the IV stage of the competition in Volyn oblast. Conclusions. The All-Ukrainian competition «“Shoulder to Shoulder” – All-Ukrainian School Orienteering League» proved to be an effective means of attracting students to systematic training in this sport.
The Evolution and Protection of Privacy as a Fundamental Right in India: Constitutional Milestones, Judicial Interpretations, and Contemporary Challenges
Authors: Sahu Kirtika , Kumar Rakesh
Published: February 2025

The constitutional recognition of privacy in India has undergone a significant transformation, evolving from implicit acknowledgments within Article 21 to explicit validation through landmark judicial pronouncements. This review traces the constitutional journey of privacy in India, highlighting key judicial interpretations, legislative actions, and the interplay with societal norms. It examines the pivotal Supreme Court judgment in Justice K.S. Puttaswamy (Retd.) vs. Union of India (2017), which solidified privacy as a fundamental right, and explores subsequent legal and legislative developments. The review also addresses contemporary challenges posed by technological advancements, digital surveillance, and data protection, emphasizing the need for adaptive legal frameworks and robust enforcement mechanisms. By analyzing the dynamic interaction between the judiciary, legislature, and societal changes, this paper underscores the ongoing efforts and future directions necessary to uphold privacy as a cornerstone of personal liberty in India.
Aislamiento e identificación de Hanseniaspora uvarum y su empleo en la producción de inulinasas a partir del jugo de agave
Authors: Silva Mendoza Julio , Gómez Treviño Jesús Alberto , Chávez Guerrero Leonardo , Sánchez González Mónica Noel , Cantú Cárdenas María Elena
Published: February 2025

Las hojas de agave desechadas durante la producción de bebidas tradicionales mexicanas contienen una alta cantidad de fructanos que se pueden aprovechar, para ello, se necesitan de enzimas capaces de hidrolizarlos y convertirlos a azúcares simples. En este trabajo se aislaron levaduras de una muestra de agua miel de agave, identificadas molecularmente como especies de Rhodotorula y Hanseniaspora. Las levaduras fueron empleadas para producir inulinasas mediante fermentación sumergida con jugo extraído de las hojas de Agave salmiana (A. salmiana) como fuente de carbono y nutrientes. La levadura identificada como Hanseniaspora uvarum (H. uvarum) presentó la mayor actividad enzimática, alcanzando una actividad de 180.5 U/mL a condiciones de trabajo de 40°Cy pH de 5.
Obtención de Glicopolímero en polimerización de glucosa contenida en fibras celulosicas de tule planta acuática (Typha domingensis Pers).
Authors: E. Martínez Mónica , De Alva Hugo Eduardo , Rivera José Luis , Morales Luisiana , Martínez Flores Hilario Rafael , Heredia Olea Erick
Published: February 2025

En la presente investigación el objetivo principal fue desarollar la sintesis de un polímero de azúcar reductor ramificado, usando D-Glucosa contenida en la planta acuatica Tule (Typha Domingensis Pers) y éter dialil trimetiolpropano, el cual posee grupos vinilo. A partir de una relación de metodologías consultadas se llegó a las condiciones de 60°C por 7 días, empleando glucosa extraida de tule, éter dialil trimetilolpropano, enzima (PAL660)y dimetilformamida para la síntesis del éter de glucosa (6-O-dimetilolpropano alil éter d-glucosa), para posteriormente realizar la polimerización empleando como iniciador AIBN y DMF,reaccionando durante 27 h,dando lugar al poli(6-O-dimetiolpropano alil éter d-glucosa). Se caracterizó el éter y el polímero empleando FTIR, en donde se muestra los grupos funcionales característicos de éter y glucosa, para ambos materiales. Al polímero se le realizó un análisis térmico DSC- TGA, en donde se muestra una resistencia del material a descomponerse hasta una temperatura superiora 600°C y un punto de fusión de 430°C.
FEDERAL STRUCTURE OF GOVERNANCE IN INDIA: A REVIEW
Authors: Kumar Vivek , Sen Chandra
Published: February 2025

The federal structure of governance in India, as enshrined in the Constitution, represents a unique blend of centralized authority and decentralized administration, tailored to accommodate the country's vast diversity. This paper explores the intricacies of India's federal system, examining its evolution, characteristics, and the challenges it faces in balancing power between the central and state governments. The Indian federal framework is distinct in its "quasi-federal" nature, wherein the central government holds significant power, especially in areas of national importance, while state governments maintain autonomy in matters of regional and local significance. This duality is intended to promote unity while allowing regional diversity to flourish.Historically, India's federal structure has been shaped by its colonial past, the need to maintain national integrity, and the desire to accommodate linguistic, cultural, and religious diversity. The Constitution provides for a division of powers through three lists—Union, State, and Concurrent—defining the jurisdiction of both levels of government. The central government retains substantial authority, particularly in financial matters and during emergencies, which has led to debates on the extent of federalism in practice.This paper also addresses the challenges and tensions inherent in India's federal system. These include the financial dependence of states on the central government, disputes over resource allocation, and the role of the judiciary in resolving federal conflicts. As India's federal structure has successfully managed the complexities of governing a diverse nation, it continues to evolve, facing new challenges in a rapidly changing political and economic landscape. The paper underscores the need for ongoing dialogue and reforms to strengthen federalism in India, ensuring it remains responsive to the aspirations of all its regions and people.
INOVAÇÃO TECNOLÓGICA EM SAÚDE: UMA VISÃO INTERDISCIPLINAR SOBRE AVANÇOS E DESAFIOS NA ASSISTÊNCIA CLÍNICA
Authors: SILVA JOÃO PEDRO FEITOSA , ARARUNA JOSÉ FELLIPE LIMA , FERREIRA GIOVANA DA SILVA , NASCIMENTO LUCAS DE SOUSA , LIMA PEDRO HENRIQUE DA COSTA , MARTINS FELIPE SIMONSELOS , SÁ MATEUS SAULO DANTAS CORREIA E , SILVA MAYRA SOCORRO DE OLIVEIRA , LOPES RAYLLA DA SILVA , OLIVEIRA BEATRIZ LORENA FERREIRA DE
Published: February 2025

A inovação tecnológica tem desempenhado um papel fundamental na modernização da assistência à saúde,
promovendo avanços significativos no diagnóstico, tratamento e gestão hospitalar. Este estudo, por meio
de uma revisão integrativa da literatura, analisou os impactos das principais tecnologias aplicadas à saúde,
incluindo telemedicina, inteligência artificial, big data, dispositivos vestíveis e monitoramento remoto. Os
resultados demonstram que a telemedicina ampliou o acesso e reduziu o tempo de espera para atendimento,
enquanto a inteligência artificial tem melhorado a precisão diagnóstica e otimizado a tomada de decisões
clínicas. O uso de big data tem permitido análises preditivas eficientes, contribuindo para a gestão de
recursos e a prevenção de complicações em pacientes crônicos. Além disso, dispositivos vestíveis têm
desempenhado um papel essencial na personalização do cuidado e no monitoramento contínuo da saúde.
Apesar dos avanços, desafios como questões éticas, segurança de dados, viés algorítmico e desigualdade
no acesso ainda precisam ser superados para garantir uma implementação equitativa e sustentável dessas
tecnologias. Conclui-se que a inovação tecnológica na saúde representa uma oportunidade para transformar
o modelo assistencial, tornando-o mais eficiente, acessível e centrado no paciente, desde que sua adoção
seja estruturada, ética e regulamentada.
Current practices and future direction of artificial intelligence in mathematics education: A systematic review
Authors: Awang Liz A. , Yusop Farrah D. , Danaee Mahmoud
Published: February 2025

Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and the potential for creating more interactive and engaging learning environments. Despite these benefits, there is a need for comprehensive reviews that provide an overview of AI's role in mathematics education to help educators identify the best AI tools, and to inform researchers about current trends and future directions. This study conducts a systematic literature review (SLR) to investigate the applications and trends of AI in mathematics education by examining articles published in reputable journals indexed in Web of Science and Scopus. The review categorizes AI tools into those narrowly addressing mathematical problems, such as solving equations and visualizing geometry, and those offering broader pedagogical support, including adaptive learning systems and generative AI platforms. Key aspects analyzed include the distribution of AI in Mathematics Education (AIME) studies across different educational levels, the types and categories of AI tools used, the functionality of commercialized AIME tools available on the internet, and the emerging trends and future directions in AIME based on recent literature. The insights from this SLR are crucial for educators, policymakers, and researchers, enabling them to integrate AI effectively into mathematics education and tailor tools to specific teaching strategies and learning needs.
Princípios Doutrinários da Maçonaria Brasileira
Authors: Kloppenburg Boaventura
Published: February 2025

As constituições, os regulamentos gerais, as resoluções e instruções da Maçonaria falam frequentemente de “grandes princípios invariáveis e imutáveis”, que “devem ser respeitados custe o que custar”, sob pena de irregularidade e ilegitimidade. Assim tem acontecido que em alguns países certos Grandes Orientes foram declarados “irregulares” pelo fato de não aceitarem ou simplesmente silenciarem um ou outro dos “grandes princípios maçônicos”.
Flow Prediction Model in English Intercultural Learning Based on BP Algorithm
Authors: Dong Xuxia
Published: February 2025

In recent years, the emotions in English learning have been studied. To investigate the flow experience in the intercultural learning in English as a Foreign Language (EFL) class, a questionnaire survey was conducted with 460 students in one vocational college and 450 valid questionnaires were collected. The SmartPSL was utilized for data analysis to determine the moderating effects of flow experience and core input vectors were selected for the Backpropagation Neural Network (BPNN) model. After constructing a flow prediction model for English intercultural learning and validating the predictive results, the study showed that learners were able to enter a flow state and the predictive outcomes were relatively accurate. Based on the results, the study has been highlighted the significance of flow experience in intercultural English learning. It also offers a flow prediction model, which assists teacher to assess students’ active emotion in English learning and to enhance the teaching quality in intercultural teaching.
Variations in production of bioactive compounds under abiotic stresses in the plants: A review
Authors: Rakhi B. Shambharkar  , Abhay B. Solunke  , Lalit P. Dewalkar  , Nidhi D. Chahande  , Vibha M. Nikose  , Vishal N. Patil
Published: February 2025

Plants are surrounded by complex set of environmental conditions which are categories into abiotic and biotic factors. The growth, development and overall survival of plants are regulated by the intensity of stresses exerts by biotic and abiotic factors of the environment. Stresses act individually or co-occurrence of different stresses at a time on plants and its study is challenging and complex process. However, the response of plants to the stresses is equally complex. Plant produces bioactive compounds in response of stresses as a stress tolerance. These bioactive compounds are also called secondary metabolites which plays significant role in the adaptation of plants to the stress condition and changing environment.In the present chapter emphasis was given on the study of production of different bioactive compounds in response to different abiotic stresses. The subtitles, types of bioactive compounds studied in plants showed wide variety of bioactive compound produce by plants in response to stress. Plant encounter number of abiotic stresses in plants like cold, heat drought, salinity, temperature and flood etc. Another subtitle, the impacts of different abiotic stresses on production of bioactive compounds in plants showed, the species of the families like Asteraceae, Papvaraceae, Apocynaceae, Lamiaceae, Brassicaceae, Malvaceaeetc shows responses to abiotic stresses and effect of abiotic stresses on productivity of agricultural crop plants. Overall study concluded that in this technological era several changes in environmental condition exert tremendous pressure of abiotic stresses on plants especially interfering with the productivity of agricultural land plants. Review shows that many plants cope up with the abiotic stresses by synthesizing bioactive compounds as a stress tolerance, but some plants fail to acclimatize and eventually die.