bluuebunny/crossref_metadata_2025_split huggingface dataset:
Precise camera calibration method based on eccentricity correction of circular target
Authors: Cheng Xiaoqi , Liu Zhimin , Zeng Zhihao , Tan Haishu , Liang Xinfeng 
Published: February 2025

Abstract
Acquiring high-precision and robust calibration methods for determining the intrinsic and extrinsic parameters of cameras is essential to ensuring the accuracy of visual measurements and three-dimensional reconstruction. This paper addresses the challenge of reduced calibration accuracy in camera systems caused by eccentricity errors in the extraction of circular target feature centers. We propose a precise calibration method that corrects these eccentricity errors associated with circular targets. The method begins by solving for the homography matrix of each calibration image using the coordinates of both image points and target points. Subsequently, the homography matrix is used to generate the frontal view of the circular target, enabling the precise extraction and back-mapping of the circular target’s center based on this frontal view. Finally, using the corrected coordinates of the circle center and the calibration method proposed by Zhang in the paper ‘A Flexible New Technique for Camera Calibration’, we accurately determine the intrinsic and extrinsic parameters of the camera. Simulation experiments show the proposed calibration method aligns perfectly with ground truth without noise. In practical tests, it outperformed the checkerboard and traditional circular target methods, reducing reprojection errors by 0.0295 and 0.0176 pixels, respectively. Additionally, the cross-ratio experiment showed a 0.076% reduction in error for corrected circle center points. These results highlight significant improvements in calibration accuracy, meeting high-precision needs in visual sensing.
LumEDA: image luminance based contactless correlates of electrodermal responses
Authors: Bhamborae Mayur , Schneider Elena N , Flotho Philipp , Francis Alexander L , Strauss Daniel J 
Published: February 2025

Abstract

Objective. Electrodermal activity (EDA) is a marker of psychophysiological arousal and is usually a measure of the skin conductance which is associated with sweat gland activity. Recent studies have shown that it is possible to estimate the EDA using contactless video based methods. Approach. Sensor EDA signals (SenEDA) and videos of the the palm were recorded simultaneously from over 30 participants under various stimuli (audio, video, cognitive and physiological). The luminance information from the video data was used to track sweat gland activity on the skin surface and extract the contactless signal luminance based EDA (LumEDA). Main results. Comparison of the SenEDA and LumEDA signals showed a high positive correlation between the two as expected. Significance. Under suitable illumination, simple spatial filters can be used to track sweat gland activity which can then be used to estimate signals analogous to the EDA. Such video based methods also facilitate spatio-temporal analysis of EDA correlates over larger areas of the body.
A chameleon system with a cosine function: bifurcation analysis, multistability, and offset boosting
Authors: Liu Jie , Sang Bo , Wang Chun , Fan Lihua , Liu Xueqing , Ahmad Irfan , Karimov Timur , Rybin Vyacheslav , Butusov Denis , Wang Ning 
Published: February 2025

Abstract
This paper proposes a novel three-dimensional chameleon system derived from the classical Duffing oscillator. The innovation lies in transforming an externally driven Duffing system into an internally modulated autonomous system through a coupling between the driving force and system state. This coupling mechanism leads to a chameleon system with rich multistable dynamics. Through rigorous mathematical analysis, we establish the system’s basic properties, including dissipativity, local stability and a supercritical Hopf bifurcation. Using a bifurcation diagram, for small values of parameter c, we detect that c = 0 serves as a critical boundary between hidden and self-excited chaotic regimes. Using a continuation diagram, we find that a supercritical Hopf bifurcation occurs at c = 0 followed by a period-doubling route to self-excited chaos as c increases. When c = 0, by varying two independent parameters, we conduct comprehensive bifurcation analysis, revealing intricate dynamical behaviors. A remarkable discovery is the system’s ability to exhibit four nested hidden chaotic attractors, with their chaotic intensity (characterized by maximum Lyapunov exponents) monotonically decreasing from 0.1044 to 0.0226 as the distance from the equilibrium point increases. Additionally, we introduce an offset boosting mechanism that enables controlled shifting of attractors - a feature with potential applications in chaos-based engineering systems. The system is validated through numerical simulations and physical implementation using an electronic circuit that employs MC33078 and OPA2134 operational amplifiers with an 8th-order polynomial approximation of the cosine function.
Investigation of radiation shielding properties of CeO2 thin films prepared at different molarities
Authors: Kanmaz İmran , Köksal Oğuz Kağan , Apaydin Gökhan , Tomakin Murat , Cengiz Erhan 
Published: February 2025

Abstract
In this study, CeO2 thin films were produced using the spin coting method, which is one of the sol–gel methods, in six different molarities. X-ray diffraction (XRD) patterns revealed the characteristic peaks of the films, while Field Emission Scanning Electron Microscopy (FESEM) confirmed their homogeneous structure. Then, radiation shielding parameters like linear absorption coefficient (LAC), mass absorption coefficient (MAC), tent value layer (TVL), mean free path (MFP), and half value layer (HVL) were thoroughly examined. The results showed that increasing molarity had a significant effect on the thickness values of thin films and the absorption parameters were found to improve with increasing molarity. Both LAC and MAC values decrease as the energy level increases, but the increase in CeO2 molarity leads to a strong increase on these coefficients. The HVL value was also found to be 0.42 cm at the lowest energy of 14.957 keV and to be around 10 cm at the greatest energy of 59.543 keV (0.05 M). When the radiation energy applied to the material was raised from 14.957 keV to 59.543 keV, it was found that the MFP values of 0.05 M CeO2 thin films grew gradually from 0.61 cm to 14.51 cm. High energy radiation of 59.543 keV and a low density (0.05 M) medium resulted in peak TVL values of 33.423 cm, allowing the radiation to pass through the material with minimal interaction.
An integrated intelligent approach for optimizing process parameters in diamond turning of sc-Ge for high-quality optical surfaces
Authors: Prasad Kundan Kumar , Tamang Santosh Kumar , Negi Vipender Singh , Amir Md , Jha Sunil , Khan Gufran Sayeed 
Published: February 2025

Abstract
Infrared (IR) materials like single-crystal germanium (sc-Ge) are gaining attention due to their outstanding optical properties, especially in infrared (IR) applications. This study focuses on improving the surface finish of sc-Ge substrates for IR applications using a diamond turning machine (DTM). The challenges in achieving the desired surface quality are addressed through an innovative approach that combines the response surface methodology (RSM) with a teaching–learning-based optimization (TLBO) algorithm. The optimal surface quality is achieved at lower depths of cut and feed rates, along with moderate spindle speeds, resulting in smoother topography and lower surface roughness. Statistical modeling using RSM highlights TLBO’s efficacy over traditional optimization methods, achieving a 0.37 nm surface roughness (Sa) under optimised machining parameters. Experimental validation demonstrate a close agreement between the optimized and experimental values, with a deviation of 3.24%. This study provides practical insights for efficient use of DTM to enhance performance of sc-Ge optical components for IR applications, contributing to surface quality optimization in the field of ultra-precision optics fabrication.
Quantum cloning transformation unlocks the potential of W class of states in a controlled quantum secure direct communication protocol
Authors: Jain Rashi , Adhikari Satyabrata 
Published: February 2025

Abstract
In a controlled quantum secure direct communication (Controlled QSDC) protocol between three parties, the sender sends the encoded secured message to one of the two receivers, which can be decoded only when the other receiver agrees to cooperate. A lot of studies have been done on it using the three-qubit GHZ state, and only a few works have involved the W state. In this work, we introduce a controlled QSDC protocol exploiting a three-qubit W class of state shared between three parties, Alice (Sender), Bob (Controller), and Charlie (Receiver). In the proposed protocol, the shared state parameters and the secret are linked in such a way that it is very difficult to factor them. We will show that these parameters can be factored out easily if the receiver uses a quantum cloning machine (QCM) and thus can retrieve the secret. We find that the protocol is probabilistic and have calculated the probability of success of the protocol. Further, we establish the relation between the success probability and the efficiency of the QCM. In general, we find that the efficiency of the constructed QCM is greater than or equal to

1

3

, but we have shown that its efficiency can be enhanced when the parameters of the shared state are used as the parameters of the QCM. Moreover, we derived the linkage between the probability of success and the amount of entanglement in the shared W class of state. We analyzed the obtained result and found that even a less entangled W class of state can also play a vital role in the proposed controlled QSDC scheme.
TSC:Efficient FRB Signal Search by a Two-Stage Cascade Deep Learning Model on FAST
Authors: yan ronghuan , Li Junlin , Tian Weixin , Mkwanda Nyasha Mariam 
Published: February 2025

Abstract
Fast Radio Bursts (FRBs) have emerged as one of the most intriguing and enigmatic phenomena in the feld of radio astronomy.The key of current related research is to obtain enough FRB signals. Computer-aided search is necessary for that task. Considering the scarcity of FRB signals and massive observation data, the main challenge is about searching speed, accuracy and recall.&#xD;in this paper,we propose a new FRB search method based on Commensal Radio Astronomy FAST Survey(CRAFTS) data.The CRAFTS drift survey data provides extensive sky coverage and high sensitivity, which significantly enhances the probability of detecting transient signals like FRBs. The search process is separated into two stages on the knowledge of the FRB signal with the structural isomorphism, while different deep leaning model is adopted in each stage. To evaluate the proposed method, FRB signal datasets based on FAST observation data are developed combining simulation FRB signals and real FRB signals. Compared with the benchmark method, the proposed method F-score achieved 0.951, Recall achieved 0.936. The method has been applied to search FRB signals on raw FAST data.The code and datasets used in the paper are available at github.com/aoxipo
Potential of wastewater reuse to alleviate water scarcity under future warming scenarios
Authors: Kahn Myla , Sangiorgio Matteo , Rosa Lorenzo 
Published: February 2025

Abstract
Water scarcity is a critical issue, expected to worsen with global warming. Tackling water scarcity requires strategies to both decrease water consumption and enhance water availability. One promising solution to mitigate water scarcity is wastewater reuse, which involves collecting, treating, and repurposing used water. By employing a water balance model in conjunction with climate model outputs, we quantified the potential of wastewater reuse to reduce water gaps—situations where water consumption exceeds renewable water availability—under a baseline climate and two warming scenarios. We find that wastewater reuse could reduce the global water gap by 9.1% (from 457.9 to 416.1 km3 per year) under a baseline climate and by 8.3% in a 3 °C warming scenario (from 524.6 to 480.9 km3 per year). Our analysis highlights the potential for wastewater reuse to alleviate water gaps in water scarce countries and metropolitan areas. India, facing the world’s largest water gap, could reduce its baseline water gap by 6.6% (8.2 km3 per year) reusing all available wastewater, compared to a 1.2% (1.5 km3 per year) reduction with reuse of only currently treated wastewater. Specifically, in Delhi, India, the water gap could be reduced by 29.6% with full wastewater reuse and by 16.6% with the reuse of currently treated wastewater. As the global water gap widens with climate change, wastewater reuse is a promising solution to assure sustainable water access. Drawing attention to global disparities in access to wastewater treatment, our findings can guide targeted investments in wastewater treatment and reuse, aiming to alleviate water scarcity, reduce pollution from untreated wastewater, and support circular economies, ultimately ensuring sustainable access to water and sanitation.
Effect of multi-walled carbon nanotubes on the properties of composite bipolar plate for polymer electrolyte membrane fuel cells
Authors: Mathew Cijo , Boby Arun , Varghese P Rini , Mohamed Samsudeen Naina , Singaravelu D Lenin 
Published: February 2025

Abstract
Polymer Composite Bipolar Plates (PCBP) with carbon fillers are emerging as a lightweight and compact alternative to pure graphite bipolar plate for Proton Exchange Membrane Fuel Cells (PEMFC). PCBP can reduce the weight and volume occupied by PEMFC assembly, enhancing the payload capacity of hydrogen-powered electric vehicles. This study focuses on the development of PCBP using Multi-Walled Carbon Nanotube (MWCNT) as tertiary filler, Carbon Black (CB) as secondary filler, Natural Flake Graphite (NFG) as primary filler and bisphenol A Epoxy resin (EPR) as binder. The fabrication is done by compression molding. The study aims to examine the effect of filler concentration of MWCNT on the mechanical, electrical, morphological, chemical and thermal properties of the PCBP. The optimized PCBP with 3.0 vol% MWCNT achieved a flexural strength of 46 MPa, in-plane electrical conductivity of 182 S cm−1 and a corrosion current density of 0.221 μA cm−2, satisfying 2025 US Department of Energy targets. Additionally, it demonstrated a bulk density of 1.46 g cm−3, shore D hardness of 70, thermal conductivity of 5.45 W mK−1 and a water contact angle of 86.78°, which are desirable values for PEMFC application. These results underline the potential of hybrid nanocomposite PCBPs to enhance the desired properties of PEMFC systems, paving the way for advancements in hydrogen fuel cell vehicles.
Shape formation of swarm robots based on parallel strategy
Authors: Jia Yongnan , Zhao Jiali , Guo Yu 
Published: February 2025

Abstract
The shape formation problem has attracted significant attention due to its broad applicability in various fields such as robotics, biology, and distributed computing. The problem involves the coordination of multiple agents, such as robots, drones, or biological cells, to form a predefined geometric shape based on distributed algorithms and local communication mechanisms. Efficiently achieving the desired formation, despite variations in the number of agents, is critical for real-world applications. In response, this paper proposes a parallel strategy characterized by scalability, robustness, and adaptivity to enhance the execution efficiency of shape formation tasks. The proposed approach begins by dividing the target shape along a central axis into left and right sections. A gradient generation rule is then introduced to determine the movement order and direction for each agent. Robots located at the edge of the left or right sections initiate movement based on edge-following and positioning rules when their gradient value exceeds that of neighboring agents. These robots continue to move until they reach their target positions. The method is resilient to failures, even if some robots fail, the shape formation task can still be completed provided that there is sufficient redundancy in the robot population. An out-of-bounds monitoring mechanism is also implemented to automatically withdraw excess robots. A simulation platform with a user-friendly human-computer interaction interface is developed to test the proposed method on various shape formation tasks, including square, pentagram, and hexagram formations, with group sizes of 119, 439, and 1019 robots, respectively. Simulation results demonstrate that the proposed method achieves approximately 3.5 times the execution efficiency of traditional single-sided shape formation methods and is effective for different group sizes. Additionally, two fault tolerance experiments are conducted, simulating robot failures both inside and outside the shape, to further validate the robustness of the method.
Energy efficiency in wireless sensor networks: comparing traditional and advanced clustering protocols
Authors: Kaur Shinder , Kour Satveer , Singh Manjit 
Published: February 2025

Abstract
Wireless networks have experienced tremendous growth, particularly in the telecommunications sector, with various technologies such as cellular networks, Wireless Local Area Networks (WLAN), Bluetooth, Mobile Ad-hoc NETworks (MANETs), Ultra-WideBand (UWB), and Wi-Max. Multi-hop wireless networks, composed of diverse devices like wireless transceivers, provide advanced storage, forwarding capabilities, and efficient media access techniques. Among these, Wireless Sensor Networks (WSNs) have gained significant attention due to their versatility and applications in military, environmental monitoring, and smart infrastructure. The increasing use of WSNs in energy-constrained environments has necessitated the development of energy-efficient protocols to extend network lifetime and improve overall performance. This study conducts a comprehensive simulation-based evaluation of various energy-efficient clustering protocols for WSNs, focusing on Low-Energy Adaptive Clustering Hierarchy (LEACH), Improved-LEACH (I-LEACH), Hybrid Energy-Efficient Distributed Clustering (HEED), Power-Efficient GAthering in Sensor Information Systems (PEGASIS), Energy-Efficient Cluster Head (EECH), Flower Pollination Algorithm (FPA), and Termite Colony Optimization (TCO). Key performance metrics such as Total Energy Consumption (TEC), Packet Delivery Ratio (PDR), Throughput, Packet Loss, Cumulative Energy Consumption (CEC), and Residual Energy (RE) were analyzed to identify protocol-specific strengths and weaknesses. The simulation results reveal significant differences in protocol performance, with FPA demonstrating superior energy efficiency and network reliability, achieving improvements of up to 30% in TEC, 35% in throughput, 7% in PDR, 12% in packet loss, 20% in CEC, and 25% in RE compared to other protocols. These findings provide valuable insights into the trade-offs associated with clustering protocols, aiding in the selection of the most suitable methodology for specific WSN applications. The research work advances the understanding of clustering protocols by presenting a data-driven comparative analysis that evaluates their fitness for energy-constrained scenarios. The study contributes to optimizing protocol selection for enhanced network lifetime and performance, paving the way for more efficient WSN deployments.
Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework
Authors: Zhao Hengrui , Wang Biling , Mistry Deepkumar , Wang Jing , Dohopolski Michael , Yang Daniel , Lu Weiguo , Jiang Steve , Nguyen Dan 
Published: February 2025

Abstract
Introduction: Auto-segmentation of tumor volumes and organs at risk (OARs) is a critical step in cancer radiotherapy treatment planning, where rapid, precise adjustments to treatment plans are required to match the patient anatomy. Although auto-segmentation has been clinically accepted for most OARs, auto-segmentation of tumor volumes, particularly clinical target volumes (CTVs), remains a challenge. This difficulty arises because images alone are often insufficient to capture the necessary information for accurate delineation of microscopic tumor invasion invisible on the image itself. Methods: We propose a deep learning-based medical image segmentation framework designed to mimic the clinical process of delineating CTVs and OARs. At its core, the model performs precise segmentation of medical images while enhancing accuracy by integrating clinical information in text format. A transformer-based text encoder converts textual clinical data into vectors, which are incorporated into the segmentation process with image features. This integration bridges the gap between traditional automated segmentation methods and clinician-guided, context-rich delineations. The framework’s effectiveness is demonstrated through a prostate segmentation example in the context of radiation therapy for localized prostate cancer, where incorporating clinical context significantly impacts the delineation process. Results: In our experiments, we included additional clinical information potentially influencing clinicians’ prostate segmentation. The results show that our proposed method not only outperforms the baseline model, but also surpasses current state-of-the-art methods, with or without clinical contexts. Furthermore, our method demonstrates high performance even with limited data. Conclusion: This proposed segmentation framework has shown to significantly improve auto-segmentation, particularly for CTVs, in cancer radiotherapy.
The Puma and the Jaguar
Authors: I. Córdova Hidalgo Amalia 
Published: February 2025

Abstract
This chapter offers an analysis of seminal works by influential Indigenous directors and media projects working in diverse regions of Latin America and with distinctly different approaches. With examples from Brazil, Chile, Ecuador, and Mexico, the chapter covers a range of genres, such as documentary advocacy videos, narrative films, and experimental, hybrid formats that incorporate archival and historical footage, that are also in Indigenous languages. Sections of the chapter are devoted to specific works and directors, including Alberto Muenala (Kichwa), Jeanette Paillán (Mapuche), Eriberto Gualinga (Kichwa), Dante Cerano (Purépecha), and Divino Tserewahú (Xavante), who have had a great impact on the field.
Studying Negotiating Strategies
Authors: Das Abhijit 
Published: February 2025

Abstract
The introductory chapter provides the rationale for studying negotiating strategies, particularly in the context of multilateral trade negotiations at the GATT/WTO. It provides a bird’s-eye view of existing literature on negotiating strategies at GATT/WTO—the platform for negotiating the framework of rules for the conduct of international trade among countries. It briefly discusses the role of state strength in determining negotiating outcomes. Turning to domestic determinant of negotiating outcomes, it focuses attention on resolving multiplicity of conflicting interests among stakeholders and how interactions at the domestic level affect negotiating flexibility. The chapter concludes by providing an overview of each of the subsequent nine chapters of the book.