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An Empathy Training for Sensitizing Adolescents for Cyberbullying on Social Media: A Cross-National Study

International Journal of Bullying Prevention 2025年 1-17页

作者： Börsting, Johanna Schwarze, Veronica Theophilou, Emily Sánchez-Reina, J. Roberto Odakura, Valguima Taibi, Davide Scifo, Lidia Fulantelli, Giovanni Hernández-Leo, Davinia Eimler, Sabrina C. Institute of Computer Science University of Applied Sciences Ruhr West Lützowstraße 5 Bottrop 46236 Germany TIDE ICT Department Universitat Pompeu Fabra Carrer de Tànger 122 Barcelona 08018 Spain Universidade Federal da Grande Dourados (UFGD) R. João Rosa Góes 1761 MS Dourados 79804-970 Brazil Institute for Education Technology National Research Council of Italy Via Ugo La Malfa 153 Palermo 90146 Italy Department of Law Economics and Communication (Palermo) LUMSA University of Rome Via Filippo Parlatore 65 Palermo 90145 Italy

Young people worldwide use social media. Besides the benefits, such as communication, entertainment, or social support, users also have to deal with negative incidents, such as cyberbullying and its serious consequences. One key factor in mitigating cyberbullying is empathy. Therefore, we developed an empathy training for adolescents, which is led by a virtual learning companion in a social media-like environment and includes direct conversations between the user and the virtual learning companion as well as a video explicating the concept of empathy. This empathy training shall contribute to decreasing users’ bullying intentions and increasing their empathy. Since previous research shows that social media use and cyberbullying are linked to country-specific factors, we evaluated the empathy training in a cross-national experimental study with N = 332 participants from Brazil, Germany, Italy, and Spain. Data were collected via surveys during workshops in schools. Among others, participants answered questions regarding their cyberbullying intentions, levels of cognitive and affective empathy, intentions to help a victim of cyberbullying, and perceived support of the measure. Results show neither decreased bullying intentions nor increased empathy after empathy training. However, cross-national differences were found. Participants’ intentions to bully were significantly higher in Spain and Brazil than in Germany. Furthermore, in the current study, cognitive and affective empathy was significantly higher in the Italian sample than in the German sample. Possibilities for improving the empathy training and the role of cross-national differences are discussed. © The Author(s) 2025.

关键词： Adolescents Cross-national study Cyberbullying Empathy training Social media Virtual learning companion

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Reversible Data Hiding With Secret Encrypted Image Sharing and Adaptive Coding

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IEEE Internet of Things Journal 2025年

作者： Fang, Guangtian Wang, Feng Zhao, Chenbin Qin, Chuan Chang, Ching-Chun Chang, Chin-Chen Fujian University of Technology College of Computer Science and Mathematics Fuzhou350118 China Fujian University of Technology College of Computer Science and Mathematics Key Laboratory of Big Data Mining and Applications Fuzhou350118 China Monash University Faculty of IT Department of Software Systems and Cybersecurity VIC3800 Australia Ministry of Education School of Cyber Science and Engineering Key Laboratory of Aerospace Information Security and Trusted Computing Wuhan430072 China University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China Feng Chia University Information and Communication Security Research Center Taichuang 40724 Taiwan Feng Chia University Department of Information Engineering and Computer Science Taichung40724 Taiwan

To ensure the security of image information and facilitate efficient management in the cloud, the utilization of reversible data hiding in encrypted images (RDHEI) has emerged as pivotal. However, most existing RDHEI schemes suffer from lower security and limited embedding capacity. To tackle these challenges, we propose a reversible data hiding with secret encrypted image sharing and adaptive coding scheme. Specifically, in the encryption phase, we introduce an improved secret sharing (SS) encryption method based on the chinese remainder theorem for polynomials (CRTP). This method not only improves the security of encrypted images but also vacates a larger room for embedding. In the embedding phase, we introduce an adaptive coding embedding approach using XOR preservation (XORP) and huffman coding, which provides high embedding capacity. Experimental results and security analysis demonstrate that our proposed encryption method achieves optimal values in security indicators for encrypted images, such as information entropy, histograms, NPCR and UACI. The proposed embedding method is superior to some state-of-the-art schemes in terms of embedding capacity. Furthermore, in datasets BOSSBase and BOWS2, the average embedding rates of the proposed embedding approach can reach 2.1745 bpp and 2.0656 bpp, respectively. © 2025 IEEE.

关键词： adaptive coding chinese remainder theorem for polynomials encrypted images Reversible data hiding secret sharing

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Robust phase estimation of the ground-state energy without controlled time evolution on a quantum device

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Physical Review A 2025年第4期111卷 042618-042618页

作者： Hiroki Kuji Yuta Shingu Tetsuro Nikuni Takashi Imoto Kenji Sugisaki Yuichiro Matsuzaki Department of Physics Tokyo University of Science1-3 Kagurazaka Shinjuku Tokyo 162-8601 Japan Department of Electrical Electronic and Communication Engineering Faculty of Science and Engineering Chuo University Tokyo Japan Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT) AIST Central2 1-1-1Umezono Tsukuba Ibaraki 305-8568 Japan Graduate School of Science and Technology Keio University 7-1 Shinkawasaki Saiwai-ku Kawasaki Kanagawa 212-0032 Japan Quantum Computing Center Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama Kanagawa 223-8522 Japan Keio University Sustainable Quantum Artificial Intelligence Center (KSQAIC) Keio University 2-15-45 Mita Minato-ku Tokyo 108-8345 Japan Centre for Quantum Engineering Research and Education TCG Centres for Research and Education in Science and Technology Sector V Salt Lake Kolkata 700091 India

Estimating the ground-state energy of Hamiltonians in quantum systems is an important task. In this work, we demonstrate that the ground-state energy can be accurately estimated without controlled time evolution by using adiabatic state preparation (ASP) and Ramsey-type measurement. By considering the symmetry of the Hamiltonian governing the time evolution during ASP, we can prepare a superposition of the ground state and reference state whose eigenvalue is known. This enables the estimation of the ground-state energy via a Ramsey-type measurement. Furthermore, our method is robust against nonadiabatic transitions, making it suitable for use with early fault-tolerant quantum computers and quantum annealing.

关键词： Qubits

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Shape Embedding and Knowledge Mining Network for Generalized Few-Shot Remote Sensing Segmentation

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IEEE Geoscience and Remote Sensing Letters 2025年 22卷

作者： Qiu, Zifeng Liu, Hongyu Xiong, Hang Di, Chengliang Fang, Hao Cong, Runmin Beijing Jiaotong University Institute of Information Science Beijing100044 China The54th Research Institute of CETC Shijiazhuang050081 China China Communication System Co. Ltd. Hebei Branch Shijiazhuang050081 China Shandong University School of Control Science and Engineering Jinan250061 China Ministry of Education Key Laboratory of Machine Intelligence and System Control Jinan250061 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China

In recent years, generalized few-shot segmentation (GFSS) has received widespread attention from scholars by virtue of its superiority in low-data regimes. Most of the existing research focuses on natural image processing, and few studies have been devoted to the practical but challenging topic of remote sensing image (RSI) understanding. In this paper, we propose a Shape Embedding and Knowledge Mining Network (SKNet) for generalized few-shot RSI segmentation. Specifically, the framework is divided into two key stages: (a) In the base class learning stage, shape representation embedding is introduced to enhance the network's ability to perceive remote sensing objects. Simultaneously, we introduce the self-reconstruction constraint to prevent new unseen classes from merging, thereby improving the representation uniqueness of these classes. (b) In the novel class learning stage, a base class knowledge mining mechanism is designed to update the prototypes of the novel class by using the prototype representation of the base class, so as to enhance the discrimination ability of the network. We validated our methods on the adapted version of OpenEarthMap and iSAID datasets. In comparison with existing GFSS methods, the proposed approach demonstrates an advancement. © 2004-2012 IEEE.

关键词： Semantic Segmentation

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Hydroalcoholic extract from Syagrus cocoides Martius almonds (ariri coconut) induces diuretic effects in rodents

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Fitoterapia 2025年 184卷 106589页

作者： Moura, Jhônata Costa de Paula Reis Sousa Pires, Thâmara da Silva Penha, Ellen Caroline Mendes, Vinicius Santos da Silva Ferreira de Lima, Beatriz Andrade, Lara Possapp Costa e Souza, Gabriel Antônio Bezerra de Cerqueira Salgado, Nicolas Melo De Carvalho, Mateus Balbino Barbosa Junior, Emanoel Ribeiro De Brito Mendonça, Caritas De Jesus Silva da Rocha, Cláudia Quintino Ribeiro, Rachel Melo Biotechnology Graduate Program – RENORBIO Brazil Research and Graduate Laboratory in Pharmacology - Federal University of Maranhão Brazil Health Sciences Graduate Program- Federal University of Maranhão Brazil Department of Chemistry Federal Institute of Education Science and Technology of Maranhão Brazil Department of Chemistry Federal University of Maranhão Brazil

Background: Recent studies point to the great biotechnological potential of Syagrus cocoides as a tool for treating cardiovascular disorders. Purpose: Evaluate the diuretic activity of the extract of S. cocoides Martius almonds (SYA) in normotensive Wistar rats. Methods: The animals received distilled water (10 mL/Kg, orally) and were placed individually in metabolic cages. The animals were randomized into 4 groups: Group I, the health control, received distilled water (0.01 g/Kg), Group II, treated with the standard drug (Furosemide 0.01 g/Kg) and Group III and IV, treated with SYA by gavage over 7 consecutive days, in a single daily dose. The doses of SYA were 0.1 g/Kg and 0.3 g/Kg, respectively. Serum and urine biochemical parameters were assessed. Urinary electrolytes were measured, and Natriuretic Activity (NA), Saliuretic Activity (AS), and Carbonic Anhydrase Inhibitory Activity (CAI) were determined. Results: The phytochemical study of SYA showed it to be rich in phenols and flavonoids, with high antioxidant activity. Regarding serum biochemical parameters, only a slight increase in glycemia was observed in the SYA 0.3 g/Kg group (113.4 ± 6.55 mg/dL). About electrolyte excretion, SYA in rats treated with 0.3 g/Kg produced greater K⁺ excretion when compared to the group treated with Furosemide 0.01 g/Kg (p = 0.04) and showed an increase in Cl⁻ excretion compared to the Control group, Furosemide and SYA-0.1 g/Kg (p < 0.05). All test doses of SYA produced a CAI index <0.8. The treatment did not cause significant changes in weight gain, water and feed consumption, density, and urinary pH. On the 6th day of treatment, the two groups treated with the extract showed greater diuretic activity when compared to the Control group (p < 0.05). On the 7th day, dose-dependent diuretic activity was observed. Conclusion: These findings support the potential of S. cocoides as a promising natural agent for diuretic therapy and warrant further investigation

关键词： Diuretic Experimental physiology Renal pharmacology

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Cognitive Congestion Alleviation Framework in IoT-Enabled WSN for Next-Gen Intelligent Transport Systems via Optimized Capsule Attention Network

Cognitive Congestion Alleviation Framework in IoT-Enabled WS...

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Intelligent Data communication Technologies and Internet of Things (IDCIoT), International Conference on

作者： R. Mohandas Sudha Y Narmatha P P.Venkata Prasad N. Manikandan Department of Electronics & Communication Engineering Chennai Institute of Technology Chennai Tamil Nadu India Department of Computer Science and Engineering Presidency University Bangalore Karnataka India Department of Computer Science and Engineering Sri Sairam College of Engineering Bangalore Karnataka India Department of Electrical and Electronics Engineering Chaitanya Bharathi Institute of Technology Hyderabad Telangana India Department of Business Administration Kalasalingam Academy of Research and Education Kalasalingam Business School Krishnankoil Viruthunagar India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

The rapid advancement of Intelligent Transportation Systems (ITS) has heightened the importance of reliable, real-time data transmission in Wireless Sensor Networks (WSNs). However, congestion in data-heavy Internet of Things (IoT)-enabled networks remains a critical challenge, impacting communication efficiency and decision-making in ITS. In high-density IoT-ITS applications, traditional congestion control methods are insufficient to address the complexity and dynamics of data flows. Existing solutions often fail to adapt in real time to varying traffic loads, leading to delays and data loss. There is a strong need for a congestion alleviation framework capable of intelligently prioritizing data while dynamically managing network resources to ensure seamless information exchange in large-scale deployments. This study presents a Cognitive Congestion Alleviation Framework in IoT-Enabled WSN for Next-Gen Intelligent Transport Systems via Optimized Capsule Attention Network (V-CapMiAN-Parr), which combines the Vectorized Adaptive Capsule Neural Network (V-AdCapNet) and Multi-instance Attention Network (MAN), fine-tuned by the Parrot Optimizer (ParrOpt). This integration aims to effectively detect, mitigate, and prevent congestion through an advanced capsule-based attention mechanism with adaptive optimization. The suggested V-CapMiAN-Parr framework demonstrated significant improvements in congestion control, achieving data throughput efficiencies above 99.7%, packet delivery rates above 99.5%, and network reliability reaching 99.2% under high traffic loads. The model's adaptive weighting mechanism ensures real-time responsiveness and reliability, crucial for next-gen ITS applications. The V-CapMiAN-Parr framework effectively addresses congestion issues in IoT-enabled WSNs, providing a robust, scalable solution for ITS applications. This cognitive framework's advanced data prioritization and adaptive optimization capabilities are well-suited for enhancing the performanc

关键词： Wireless communication Wireless sensor networks Adaptive systems Transportation Telecommunication traffic Real-time systems Internet of Things Data communication Optimization Next generation networking

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Suppression of heading errors in Bell-Bloom optically pumped free-induction-decay alkali-metal atomic magnetometers

arXiv

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arXiv 2025年

作者： Liu, Siqi Wang, Xueke Zhang, Xiangdong Xiao, Wei Sheng, Dong Department of Precision Machinery and Precision Instrumentation Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes University of Science and Technology of China Hefei230027 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Beijing Computational Science Research Center Beijing100193 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Center for Quantum Information Technology Peking University Beijing100871 China MIIT Key Laboratory of Complex-field Intelligent Sensing Advanced Research Institute of Multidisciplinary Science Beijing Institute of Technology Beijing100081 China Hefei National Laboratory University of Science and Technology of China Hefei230088 China

Heading errors of atomic magnetometers refer to the dependence of measurement results on the sensor orientation with respect to the external magnetic field. There are three main sources of such errors: the light shift effect, the linear nuclear-spin Zeeman effect, and the nonlinear Zeeman effect. In this work, we suppress the former two effects by using the Bell-Bloom optical pumping method and probe the atomic signals while the pumping beam is off, and focus on the heading error induced by nonlinear Zeeman effect while the sensor operates in the geomagnetic field range. We demonstrate several schemes to suppress this remaining heading error within 1 nT using a single magnetometer or a comagnetometer. In the magnetometer system, two schemes are developed to average out the horizontal atomic polarization in space or in time, respectively. In the comagnetometer system, we combine the simultaneously measured Larmor frequencies of two different kinds of alkali atoms to either suppress the heading error or extract the orientation of the pumping beam relative to the bias field. © 2025, CC BY.

关键词： Blooms (metal)

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Electrical Mesh and UV Light based Economical Mosquito Avoidance System

Electrical Mesh and UV Light based Economical Mosquito Avoid...

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Trends in Material science and Inventive Materials (ICTMIM), International Conference on

作者： P. Manikandan Pushpavanam B C. Swedheetha P. Naveen T. Akilan V. Muneeswaran Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishnankovil Tamil Nadu India Department of Electrical and Electronics Engineering PSNA College of Engineering and Technology Dindigul Tamil Nadu India Department of Computer Science Engineering Velammal College of Engineering and Technology Madurai Taminadu India Department of Electrical and Electronics Engineering KPR Institute of Engineering and Technology Coimbatore Taminadu India Department of IQAC Amity University Kolkata India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

A low-cost, non-microcontroller based device is proposed to lower mosquito populations in delimited and slum areas, hence preventing the transmission of diseases including dengue, malaria, and the Zika virus., particularly in metropolitan areas with high population densities and poor access. Conventional approaches to controlling mosquitoes, such as chemical insecticides, larvicides, and adulticide sprays, frequently have drawbacks, including negative effects on the environment, expensive prices, and inconsistent effectiveness. In order to tackle these problems, An affordable, non-microcontroller based device has been deveped that is intended to be used in low-resource environments. This device uses a combination of neutralizing and enticing methods to try and drastically reduce mosquito populations. Because of its straightforward and durable design, which makes building and maintenance simple, it may be deployed in vulnerable communities by governmental and non-governmental organizations alike.

关键词： Materials science and technology Malaria Urban areas Prototypes Zika virus Maintenance Public healthcare Population density Testing Non-governmental organizations

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Multi-interface modification induced crack deflection behavior and enhanced fracture resistance in thermal barrier coatings

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Journal of Alloys and Compounds 2025年 1031卷

作者： Li, Qicheng Cui, Xiufang Jing, Yongzhi Xu, Wei Wang, Yi Chen, Zhuo Zhang, Zhijia Fang, Yongchao Shang, Tong Jin, Guo Institute of Surface/Interface Science and Technology Key Laboratory of Superlight Material and Surface Technology of Ministry of Education College of Material Science and Chemical Engineering Harbin Engineering University Harbin150001 China Northwest Institute for Nonferrous Metal Research Xi an710016 China The Military Industry Program Evaluation Center of Costind of SASTIND Beijing100048 China No.703 Research Institute China State Shipbuilding Co. Ltd Harbin150078 China Aviation Key Laboratory of Science and Technology on Advanced Corrosion and Protection for Aviation Material Beijing Beijing Institute of Aeronautical Materials Beijing100095 China

Conventional thermal barrier coatings (TBCs) composed of yttria-stabilized zirconia (YSZ) ceramic top layers and MCrAlY (M = Ni, Co, or their combination) alloy bond coats are prone to brittle fracture and interfacial delamination under extreme thermo-mechanical-chemical coupled *** study develops a composite-toughened thermal barrier coating (TBC) system integrating three innovations: laser-modified SiC whisker-reinforced YSZ-WL ceramic layers, a novel NiCoCrFeAl0.8Si0.1(NbMoTaW)0.1 high-entropy alloy bond coat, and hoop-patterned laser-textured interfaces. Compared to conventional TBC1 (NiCoCrAlY/YSZ), the optimized TBC3 demonstrates 64.3 % higher interfacial strength, survives 150 thermal shock cycles at 1100°C (20 % spallation area), and shows 61.43 % lower erosion mass loss post-thermal cycling. The YSZ-WL layer reduces cyclic molten salt corrosion mass loss by 22.58 % versus *** advancements highlight the synergistic effects of whisker toughening (crack deflection/bridging), high-entropy alloy bond coats (suppressed TGO growth), and hoop-textured interfaces (guided crack propagation), establishing a groundbreaking strategy for extreme-environment TBC applications. © 2025 Elsevier B.V.

关键词： Brittle fracture

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Guided mode in LiF filled slab waveguide bounded by uniform plasma

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Optical and Quantum Electronics 2025年第6期57卷 1-10页

作者： Zia, Tayyaba Bangfan, Liu Khudhair, Zainab Falah Shaban, Mohamed Al-Saeedi, Sameerah I. Chethan, M. Sunori, S. K. Choudhury, Satish Arora, Ishant Polvonov, Sultonmakhmud Madaminov, Bekzod Iftikhar, M. School of Public Administration Yanshan University Qinhuangdao China Ministry of Education General Directorate of Education Qadisiyah Iraq Physics Department Faculty of Science Islamic University of Madinah Madinah Saudi Arabia Department of Chemistry College of Science Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia School of Sciences JAIN (Deemed to Be University) Bangalore India Electronics & Communication Graphic Era Hill University Bhimtal India Centre for Promotion of Research Graphic Era Deemed to Be University Dehradun India Department of Electrical & Electronics Engineering Siksha ‘O’ Anusandhan (Deemed to Be University) Bhubaneswar India Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Rajpura India Department of Computer Science Urgench State University Urgench Uzbekistan Department of General Professional Sciences Mamun University Uzbekistan Khorezm Khiva Uzbekistan Department of Physics University of Education Vehari Pakistan

The theoretical model developed for electromagnetic wave propagation at uniform plasma-lithium fluoride-uniform plasma waveguide structure has yielded insightful results, demonstrating the significant influence of collision frequency, plasma frequency, and waveguide thickness on the propagation characteristics. The normalized phase constant, attenuation, propagation length, and penetration depth exhibit clear dependencies on these parameters, which are crucial for optimizing waveguide design. These results offer promising applications in sensing systems, integrated circuits, and subwavelength optics in THz frequency regimes.

关键词： Guided electromagnetic wave propagation

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