bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ship Lock Chamber Arrangement in Xiangjiang River Based on Artificial Bee Colony and Adaptive Genetic Algorithm
Authors: Deng Wei , Yan Shuting , Xie Zhenhua , Xu Xiaolong , Xiong Haoqi 
Published: October 2024

Abstract
To plan the ship lock chamber arrangement in Xiangjiang river, an artificial bee colony-adaptive genetic algorithm was proposed for the scheduling of the lock chamber, considering that the performance of the basic genetic algorithm relies on the quality of the initial population, the selection of genetic operators, crossover, and mutation operations. Firstly, the artificial bee colony algorithm was used to initialize the population to enhance population diversity. The utilization rate of the lock chamber and the waiting time for the lock were used as evaluation indicators for the fitness function. Then, adaptive strategies were designed to adjust the crossover and mutation operators to improve the convergence speed of the algorithm. Experimental results showed that, in a Xiangjiang river ship lock chamber with a size of 280 m×34 m, the average number of ships selected by the proposed artificial bee colony-adaptive genetic algorithm was 2 more than that of manual scheduling and 1.5 more than that of the genetic algorithm. The utilization rate of the lock chamber scheduling was increased by 13.01% compared to manual scheduling and by 5.4% compared to the genetic algorithm. The average waiting time for the lock was reduced by 1.3 hours compared to manual scheduling and by 0.8 hours compared to the genetic algorithm. It effectively improves the efficiency of ship traffic and optimizes the utilization of the lock chamber, making it practical for real-world applications.
Analysis and Research on Farmland Use Changes in Changchun City Based on ArcGis Remote Sensing Images
Authors: Chen Hang , Zhao Liya , Dong QingQi , Chen Guifen 
Published: October 2024

Abstract
Land is an essential basis for the sustained existence and development of human beings, arable land resources are the fundamental guarantee of food replenishment, contemporary scholars also put forward high requirements for the study of remote sensing image feature type classification extraction, the study of remote sensing image feature type classification and algorithms are very necessary. Therefore, based on remote sensing image data, this paper combines supervised classification with unsupervised classification, selects the advantages of the algorithm and improves it, refers to the classification system to select the classification standard, improves the support vector machine algorithm and compares it with other classification algorithms to improve the classification accuracy. Firstly, unsupervised classification is used to extract forest land, cultivated land and grassland into one category, and then secondary extraction is used to classify and subdivide them with SVM classification in supervised classification. Through conducting experiments on image data over a period of three years, the information of cultivated land is extracted from the remotely sensed image data of Changchun City in the years 2000, 2010, and 2020. By observing the change trend of land use, it is found that the cultivated land in Changchun City demonstrates a decreasing tendency from 2000 to 2020. Finally, it is concluded that Changchun’s cultivated land shows a decreasing trend from 2000 to 2020. Finally, this paper takes ten years as a gradient and obtains remote sensing image data in three time periods to analyze the change of cropland utilization. The results show that the method is effective in practical application and can save human and material resources to analyze the type of feature data.
Research on Differential Protection of Distribution Network Based on 5G Communication Technology
Authors: Chen Weijun , Yao Haiyan , Yu Xiaoling , Chen Hao 
Published: October 2024

Abstract
The application of traditional optical fiber in differential protection technology in distribution networks faces many challenges. Due to the physical characteristics and transmission limitations of optical fiber, there is a blind area for line fault isolation, which cannot meet the growing demand for access, and is not conducive to the popularization and application of differential protection in distribution networks. This paper proposes a differential protection method for distribution networks based on 5G communication technology. 5G communication technology has the characteristics of high bandwidth, low delay, high precision network timing and safety and reliability, and provides a new wireless communication method for differential protection of distribution network. The introduction of 5G communication technology can not only provide a more stable and fast data transmission channel to ensure that the differential protection system can respond quickly after receiving the fault signal, but also realize the precise monitoring of each node of the distribution network. At the same time, this paper combines network slicing technology, uplink scheduling optimization, bit error rate optimization, air retransmission optimization, transmission priority optimization and other methods to reduce the communication delay and delay jitter, improve the reliability of the method.
Identification Source Term of the Distributed Order Time-Space Fractional Diffusion Equation
Authors: Piao Yuhao , Li Yushan 
Published: October 2024

Abstract
The inverse source problem for time-distributed order spatial fractional diffusion equations is examined in this study. The forward problem is solved by combining finite difference methods with matrix transformation techniques. The Tikhonov regularization approach is then applied to convert the inverse problem into a variational problem. The optimal perturbation approach is used to find the minimizer of the variational problem, leading to an approximation solution that depends solely on the time-dependent source term. The algorithm’s effectiveness and stability are demonstrated using numerical examples in one-dimensional domains.
Open Domain Target Detection Based on Image-text Alignment Large Model under Railway Smart Construction Site
Authors: Wang Yaoguo 
Published: October 2024

Abstract
Open domain target detection plays a crucial role in ensuring people’s life safety in Railway Smart Construction Site. This paper proposes a target detection method that is not limited by the number of labels, which is different from traditional models that are usually trained and tested on a fixed set of object categories (or a set of labels). Firstly, the pre-training GLIP model is utilized to train the collected image-text pairing data to generate grounding boxes. Secondly, the pseudo-labeled data formed by associating these boxes with the corresponding text descriptions were combined with the original image-text data to form an enhanced dataset. The final model performs inference based on the prompt and incoming image data to determine the localization information. The GLIP model effectively aligns image and text information and enhances its ability to recognize and handle problems by observing and understanding new situations.
A Knowledge Distillation Method Based on Evidence Theory to Prevent Catastrophic Forgetting
Authors: Peng Bo , Jang Feng , Wang Shen , Li Zhou , Zhang Shizhe , Li Mengyu , Liu Yonghe , Zhao Wei , Jia Min 
Published: October 2024

Abstract
Incremental learning is an emerging machine-learning approach designed to prevent catastrophic forgetting while learning a new task with knowledge retained from previous tasks. However, existing methods often must fully utilize the distributional information of the old task model’s outputs. To alleviate this, we propose a class incremental learning method grounded in evidence theory to leverage the distributional information of outputs from the old task model, which integrates uncertainty estimation into the knowledge distillation process to ensure the new task model effectively learns from the old task model’s distribution information. Specifically, we incorporate uncertainty estimation based on evidence theory to calculate knowledge distillation loss during training. We compute the uncertainty estimates of outputs from both the new and old task models, and then they are used in the knowledge distillation loss calculation. We propose a novel classification strategy that considers outputs’ probability and uncertainty estimates, which could determine the sample category without requiring an additional training phase or supplementary models. Experiments on the CIFAR-100 and ImageNet datasets demonstrate the effectiveness of the proposed method, showing that it outperforms existing methods by improving accuracy by 1%-2%. Results suggest that leveraging the distribution information of model outputs can effectively mitigate catastrophic forgetting in deep learning models within incremental learning scenarios.
The case classification and their development for would-be mathematics teachers’ training
Authors: Achkan V V , Vlasenko K V , Lovianova I V , Yu Kaluhin R , Armash T S 
Published: October 2024

Abstract
The article looks into the issue of the case classification for the training of Mathematics teachers. The analysis, which was carried out, and the survey of 47 University teachers of methodical disciplines allowed to highlight the classification features of cases in the process of teaching methodical disciplines: the amount of time to complete, the way of presentation, the level of complexity and the breadth of the covered problem. Classifying cases by the amount of time for their implementation contributed to the separation of mini-cases, medium-term cases, and long-term cases. Classification by the method of presentation of cases in the process of studying methodical disciplines ensured their use in printed (handwritten) form, multimedia presentation of cases, and video cases. According to the level of complexity, the cases were divided into reproductive-training, partial-research, and creative-innovative cases. Thematic and integrated cases ensured the breadth of coverage of the problem during the teaching of methodical disciplines. The article presents general requirements for the selection and development of cases in the process of studying methodical disciplines. These requirements are based on the principles of accessibility, scientificity, contextuality, systematicity, methodological expediency, and practical orientation. The classification and specific requirements became the basis for the development of cases that can be used in the process of teaching methodological disciplines of would-be Mathematics teachers.
Analytical and geometric interpretation of the flat arrangement of points by means of metric geometry in the study of metric spaces
Authors: Kuz’mich V I , Kuzmich L V , Savchenko A G , Valko K V 
Published: October 2024

Abstract
When studying metric spaces, students of higher education often have difficulties with understanding the basic concepts and properties of these spaces. This, to a large extent, is a consequence of the significant level of formalization of such concepts on the one hand, and the preservation of the corresponding formulations and names familiar to students from a school mathematics course. To overcome these difficulties, it is advisable to use methods of geometric interpretation and visualization of these properties. At the same time, it is appropriate to use elements of metric geometry. Its methods make it possible to interpret the geometric features of the mutual placement of points of metric space in Cartesian (rectangular) coordinate systems, which are familiar to students of higher education. Moreover, it becomes possible to visualize these features with the help of graphic editors, since they, as a rule, use numerical values of the coordinates of points to visualize them. Based on the definition of an angle as an ordered trio of points of an arbitrary metric space, and the angular characteristic of this angle, the fact of the flat placement of four points of a non-Euclidean metric space is established, and examples of digital visualization of this arrangement using the dynamic geometric environment GeoGebra 3D are given.
Nanoart in STEAM education: Combining the microscopic and the creative
Authors: Suchikova Y O , Kovachov S S 
Published: October 2024

Abstract
This article explores the integration of Nanoart within the STEAM (Science, Technology, Engineering, Art, and Mathematics) education framework, highlighting its pivotal role in enhancing interdisciplinary learning. Through a detailed examination of a project-based learning (PBL) initiative, the study showcases students specializing in “Applied Physics and Nanomaterials” engaging in creating nanostructures via electrochemical etching and their subsequent transformation into Nanoart. This educational endeavor exemplifies the seamless integration of STEAM components—combining scientific principles, technological application, engineering design, artistic creativity, and mathematical precision—and significantly deepens students’ understanding of these elements. The article details each project phase, from conceptualization through execution, illustrating how students navigate the complexities of nanoscience and apply their interdisciplinary knowledge to produce tangible artistic and scientific outcomes. By transforming abstract scientific concepts into visually and intellectually stimulating Nanoart, the project encourages creative thinking and innovation among students. It further demonstrates how integrating art into STEM subjects can make scientific education more accessible and engaging, attracting a more comprehensive array of students and enriching their academic and practical experiences. Additionally, the study discusses the broader implications of Nanoart in STEAM education, emphasizing its effectiveness in bridging the gap between scientific exploration and artistic expression. It argues that this approach not only demystifies complex concepts but also fosters a holistic educational environment that prepares students to think critically and creatively across disciplines.
Naphthylated LEGO-lipophosphonoxin antibiotics used as a fluorescent tool for the observation of target membrane perturbations preceding its disruption
Authors: Dolejšová Tereza , Lišková Petra , Sahatsapan Nitjawan , Mojr Viktor , Pohl Radek , Brzobohatá Hana , Dugić Milica , Křížek Tomáš , Cwiklik Lukasz , Mikušová Gabriela , Rejman Dominik , Fišer Radovan 
Published: October 2024

Abstract
Linker-Evolved-Group-Optimized-Lipophosphonoxins (LEGO-LPPO) are small synthetic modular peptidomimetics with promising antimicrobial activity. The LEGO-LPPO mechanism of antibacterial action has been determined to be the depolarization and disruption of bacterial membranes. Their modular nature is advantageous for fine tuning their biological properties. In order to optimize the structure of LEGO-LPPO even further, it is important to understand the interaction of LEGO-LPPO with bacterial membranes at the molecular level. In this work, we present the synthesis of five LEGO-LPPO (designated as 1_naph2-4-G to 5_naph2-4-G) molecules bearing fluorescent naphtylethyl moieties and their usage in the study of LEGO-LPPO behaviour in the membrane. Our goal was to characterize fluorescently labelled LEGO-LPPO under conditions that do not completely disrupt the membrane, mostly in the form of membrane-bound monomers. We observed the intramolecular interactions of hydrophobic modules of 1_naph2-4-G in the buffer by detecting dynamic naphthyl excimers and their disappearance after 1_naph2-4-G bind into the membranes. In the membrane, the molecule 1_naph2-4-G slightly affects the membrane fluidity of DOPG membranes above the phase transition. The naphthyl fluorophore itself has fast and almost unrestricted rotation around ethylene linking groups (r

inf
= 0.010), which indicates a considerable chaotropic effect of the hydrophobic modules of 1_naph2-4-G at the given depth of the membrane. 1_naph2-4-G proved to be a useful model for observing the interaction of LEGO-LPPO antibiotics with the phospholipid bilayer enabling us to decipher its effects on membrane state and dynamics; its binding and penetration into the membrane, its structure and the particular depth that it occupies.
Recent advances in electrode optimization of electrochemical energy devices using topology optimization
Authors: Alizadeh Mehrzad , Charoen-Amornkitt Patcharawat , Suzuki Takahiro , Tsushima Shohji 
Published: October 2024

Abstract
Topology optimization (TO) has emerged as a prominent trend in recent years, driven by its ability to explore optimized material distributions from scratch. Recently, there has been a significant shift in the application of TO, in optimizing systems involving complex electrochemical reactions, particularly electrode porous structures. This paper aims to examine the utilization of TO in enhancing electrodes across various electrochemical energy devices (EEDs). It encompasses a broad spectrum of applications, including the optimization of porous electrodes through the density-based method and interfaces between electrodes and electrolytes through the level-set method. The paper will delve into the challenges and opportunities associated with employing TO in electrode design for EEDs. These challenges involve addressing computational complexity, the absence of theoretical foundations for optimized structures, and the fabrication of complex structures for practical real-world applications. Additionally, beyond TO, the paper will spotlight other notable techniques in the structural design of porous electrodes using mathematical optimization. By offering insights into state-of-the-art research and developments in TO’s application to electrode design, this paper provides researchers with valuable resources to navigate the evolving landscape of electrode design for EEDs.
Introduction
Authors: Kerr Orin 
Published: October 2024

Abstract
The widespread use of computers and the Internet calls for new rules under the Fourth Amendment, the constitutional ban on unreasonable searches and seizures. In the US constitutional system, the Supreme Court and lower courts interpret the Fourth Amendment to limit how the police gather information. But computers call for new Fourth Amendment rules. Much like the automobile changed Fourth Amendment law in the twentieth century, computers must change Fourth Amendment law in the twenty-first century. Courts must craft a new Digital Fourth Amendment, adopting rules that preserve the traditional function of the Fourth Amendment for the new world of computers.
Digital Evidence
Authors: Kerr Orin 
Published: October 2024

Abstract
Computers present a fundamental challenge to Fourth Amendment law because digital evidence is different from physical evidence. Almost everyone uses computers and the Internet, and computers store a remarkable amount of information about what its users do. Skilled specialists who are experts in the field of computer forensics can often recover detailed information about past events, including past crimes. In some cases, the evidence is in local machines such as cell phones and laptop computers. In other cases, the evidence is held by Internet providers such as Google. Criminal investigators can go to these providers and obtain records without users even being aware of their access under a law called the Stored Communications Act. Current Fourth Amendment law is not ready for these new digital facts. Applying the old rules of Fourth Amendment law to the new facts of digital evidence ends up dramatically expanding government power.
Searches and Seizures
Authors: Kerr Orin 
Published: October 2024

Abstract
The Fourth Amendment prohibits unreasonable “searches” and “seizures,” and the first major question raised by the Digital Fourth Amendment is how these terms should be interpreted in the stand-alone setting of local digital storage devices. What does it mean to “search” a digital file, or to “seize” it? By relying on the container analogy, seeing digital storage devices as akin to physical containers, we can start with the notion that accessing data from a storage device is a search. Courts should adopt an exposure-based bright-line rule: Retrieving data and exposing it to outside observation is a search of the data that is exposed. Courts should also treat digital copies as the original; if forensic experts copy a file and then retrieve data from it, that is also a search. Finally, copying Fourth Amendment–protected data should ordinarily be a seizure of that data. This test raises special problems for Internet preservation under the Stored Communications Act. When government agents order an Internet provider to save a copy of a person’s account, and the company responds by copying the file, that process “seizes” the data and the seizure should be permitted only when it is reasonable.
Warrants for Digital Evidence
Authors: Kerr Orin 
Published: October 2024

Abstract
A critical question for the Digital Fourth Amendment is the law of digital warrants. When a computer is searched with a warrant, an extraordinary amount of personal information comes into plain view. As a practical matter, there’s a needle-in-the-haystack problem: Investigators need to look through the entire haystack to find the needle. But if the courts stick with traditional Fourth Amendment rules, digital warrants may become general warrants in practice—the exact problem that the Fourth Amendment was enacted to solve. The question becomes, “How should courts solve this problem?” The answer is to impose use restrictions. With a warrant, investigators should be able to search through the entire computer for responsive evidence named in the warrant. But the discovery of nonresponsive evidence—evidence not named in the warrant as an item to be seized—should not be able to be disclosed to the public or used in a criminal case. This new approach achieves the best balance for the facts of computer searches: It lets the government find the needle in the haystack, but it ensures that the government doesn’t have unlimited access to and use of everything else in the haystack.
Border Searches
Authors: Kerr Orin 
Published: October 2024

Abstract
Should the Fourth Amendment allow the federal government to search computers and cell phones that cross the U.S. border without a warrant? In the traditional physical setting, the Supreme Court has recognized a broad border search exception to the Fourth Amendment warrant requirement: most searches of property require no suspicion at all. Courts should reject this rule when it comes to digital devices, however. When a US citizen crosses the border with a cell phone, laptop, or other digital storage media, the government should be required to have the same search warrant to search the device that is required inside the United States. Courts should reject the border search exception for digital devices for the same reason that the Supreme Court rejected the search-incident-to-arrest exception for warrantless searches of cell phones in Riley v. California: the rationale for the exception is rooted in the physical world, and it does not extend to digital media. A different rule might be needed for the devices of noncitizens, but that is a complicated question that must be left for another day.
Epilogue
Authors: Kerr Orin 
Published: October 2024

Abstract
The Digital Fourth Amendment is alive. Courts are handing down new cases regularly, and the law continues to evolve. The Supreme Court has been quiet in this area since Carpenter: it is on an unusual Fourth Amendment hiatus. But the hiatus will end eventually, and the Supreme Court will then step in and address how the Fourth Amendment applies to the digital realm. Several circuit splits exist already, clearing the way to Supreme Court review, on issues such as the border search exception and the mosaic theory. Over time, the Supreme Court will craft a Digital Fourth Amendment for the modern age.