bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of die top system and trenches on large thin die mechanical robustness
Authors: Gupta Nikhil , Poelma René , Zhang GuoQi , Driel W D van , van Zeijl HW 
Published: September 2024

Abstract
Power MOSFET dies in the automotive industry are becoming larger (>5 × 5 mm) and thinner (<50 µm) to meet high-performance and lifetime requirements. Ensuring the mechanical robustness of these large ultrathin chips is crucial for reliable electronic devices and high-throughput packaging processes. The high aspect ratio and advanced chip designs incorporating trench technology present significant challenges in semiconductor assembly, packaging, and testing. This paper introduces an experimental front-end strategy aimed at strengthening the front side (FS) of large ultrathin dies using various die-top systems. Industry-equivalent 50 µm thick dummy power MOSFET dies were fabricated to evaluate the efficacy of different chip designs and materials, such as polyimide (PI), in mitigating fracture risks. Fabrication-induced stresses and warpage in the device layers were measured using a thin-film stress measurement tool. Additionally, the FS strength of the ultrathin dies was assessed using the three-point bending method, with the resulting data analyzed via two-parameter Weibull distribution plots. Results demonstrated that the deposition of 5 µm PI on the nitride die topside significantly increased die strength from 339 MPa to 760 MPa, with 5 µm PI proving more effective for die strengthening than 10 µm. The interaction between the metal-trench layer and the die was found to be critical to the robustness of ultrathin dies, influenced by the pattern and layout of the trenches. Die-top metallization designs, such as meandering patterns, showed promising improvements in die strength compared to standard designs. A proposed chip layout aims to maximize PI coverage for clip-bonded products on the die topside, leveraging its strengthening effect. The study also demonstrated that dummy reference chips can facilitate rapid and straightforward evaluation of extensive design experiments to identify robust chip designs.
Impact of c- and m- sapphire plane orientations on the structural and electrical properties of β-Ga2O3 thin films grown by metal-organic chemical vapor deposition
Authors: Serquen E , Bravo F , Chi Z , Enrique L A , Lizárraga K , Sartel C , Chikoidze E , Guerra J A 
Published: September 2024

Abstract
This work presents a comprehensive investigation into the structural and electrical properties of Ga2O3 thin films grown via metal-organic chemical vapor deposition on both c- and m-plane sapphire substrates. Structural characterization revealed the β-Ga2O3 phase formation in both substrate orientations, with strong epitaxial

(

2
¯

01
)

preferential growth on c-plane substrates and polycrystalline films on m-plane substrates. Results show that Ga2O3/m-sapphire exhibits the lower electrical resistivity than its counterpart grown on c-sapphire. Activation energies of acceptor levels were estimated at ~1.4

eV

and ~0.7

eV

, for Ga2O3 films grown on c- and m-plane, respectively. This result shows that growing Ga2O3 on m-plane sapphire is beneficial to reach a weakly compensated sample. Cathodoluminescence analysis suggests that the additional low activation energy of ~0.18

eV

observed in Ga2O3 grown with the highest oxygen flow on m-plane sapphire can be associated to thermally-induced migration of self-trapped hole states.
CP-RDM: a new object detection algorithm for casting and pouring robots
Authors: Zhao Kanghui , Miao Xingang , Xia Jianqiang , Li Jiaping 
Published: September 2024

AbstractAutomating the casting sector heavily relies on pivotal technology for object detection in pouring robots. A sophisticated algorithm designed to identify and locate target pouring holes in intricate casting workshops is crucial for advancing the intelligence of the casting process. However, the workshop environment for pouring is generally challenging, with uneven lighting, varying sizes of pouring holes, and significant occlusion in the target area, all impacting the accuracy of target detection tasks. To overcome these challenges, this paper proposes enhancing the YOLOv8s algorithm for object detection in pouring robots. Firstly, to address the issue of different scales in pouring holes, a Multi-Scale Residual Channel and Spatial Information Fusion Module (MRCS) is designed to aggregate channel and spatial information, thereby enhancing the feature extraction capability of the model. The proposed enhancement is validated on the Pascal VOC dataset. Secondly, a SimAM attention mechanism is added at the end of the backbone network to focus the object detection network more on the positional region of the pouring hole. Importantly, this addition does not introduce extra parameters or computational burden to the model. Finally, in the detection part of the model, the detection head from the RT-DETR model is introduced. This combination of real-time detection capability from YOLO and deep feature extraction capability from RT-DETR enhances the detection accuracy of the model while ensuring real-time performance. Experimental results on the updated pouring hole dataset reveal that, with only a slight increase in parameters, the proposed model achieves a 2.5% and 3.5% improvement in mAP@0.5 and F1-Score, respectively, compared to the baseline algorithm YOLOv8s. Precision (P) is enhanced by 1.8%, recall (R) by 3.5%, and PFS reaches 110, meeting the requirements for real-time pouring in pouring robots.
Automatic classification method for water entry sounds in multi-interference environments
Authors: Liu Tianhe , Duan Rui , Yang Kunde , Su Benxue 
Published: September 2024

Abstract
In marine environments with strong pulse interference, distinguishing water entry sounds from pulse interference with high accuracy presents a challenge. Conventional algorithms that only utilize the singular values of intrinsic mode functions (IMFs) as the classification feature can have many misclassified signals in noisy environments. To identify the water entry sound more precisely, this study introduces a classifier based on selected singular value and correlation coefficient features. Specifically, the correlation coefficient between each IMF and the original signal are used to select crucial singular values and eliminate uninformative components. Furthermore, the correlation coefficient also combines with singular values as classification features for water entry sounds. The classification experiment results of 2460 groups of water entry sound and pulse interference indicate that the proposed classifier improves classification accuracy by approximately 11.5% compared to using singular values alone and by approximately 2.4% compared to classification accuracy without eliminating uninformative IMFs.
Novel hybrid interference and atomic force microscopy
Authors: Dai Gaoliang , Jiao Ziyang , Rao Xingyu , Wolff Helmut , Tutsch Rainer 
Published: September 2024

Abstract
A novel hybrid microscope which combines an interference microscopic (IM) and an atomic force microscopic (AFM) measurement mode is introduced. It is realised by adding an AFM probe to an IM, where the AFM probe can be mechanically switched in or out of the beam path of the IM. When the AFM cantilever is out of the beam path, the system works in the IM measurement mode for noncontact and fast optical measurements. When the AFM cantilever is in the beam path, it works in the AFM measurement mode, where the AFM tip interacts with sample surfaces for measurements. The deformation of the AFM cantilever induced by the tip-sample interaction force is detected from interference fringes, which are formed by the interference of the light beam reflected from the backside of the AFM cantilever and a reference beam in the IM. This novel design has a high-level synergy of AFM and IM technologies and provides promising application potentials. For instance, the limited resolution capacity of the IM mode can be complemented by the high-resolution AFM. AFM measurements are capable of offering measurement results with higher topography fidelity than IM measurements, thus for providing in-situ reference areal surface metrology. In the paper, design concept, realisation of a prototype instrument, and experimental results illustrating the performance of the prototype instrument are detailed.
Singular limit of a chemotaxis model with indirect signal production and phenotype switching
Authors: Laurençot Philippe , Stinner Christian 
Published: September 2024

Abstract
Convergence of solutions to a partially diffusive chemotaxis system with indirect signal production and phenotype switching is shown in a two-dimensional setting when the switching rate increases to infinity, thereby providing a rigorous justification of formal computations performed in the literature. The expected limit system being the classical parabolic–parabolic Keller–Segel system, the obtained convergence is restricted to a finite time interval for general initial conditions but valid for arbitrary bounded time intervals when the mass of the initial condition is appropriately small. Furthermore, if the solution to the limit system blows up in finite time, then neither of the two phenotypes in the partially diffusive system can be uniformly bounded with respect to the L
2-norm beyond that time.
Research on dynamic performance and mechanical model of a novel magnetorheological shear thickening damper with adaptive variable damping gap
Authors: Zhao Qian , Wang Kan , Yuan Jing , Jiang Huiming 
Published: September 2024

Abstract
Magnetorheological shear thickening fluid (MRSTF) is an intelligent composite material, which shows considerable potential in semi-active vibration control. However, the current research is mostly limited to the study of the rheological properties of materials, and there is still a lack of damper structures that can effectively utilize the dual-control characteristics of MRSTF. In this paper, a novel damper structure with adaptive adjustable damping gap length is proposed. Its unique design integrates an adaptive internal damping gap that changes with the movement of the piston and an external gap controlled by the magnetic field, providing a relatively wide range of current-controlled damping force and reliable adaptive adjustment capabilities. Based on the M-S shear stress constitutive model and structural characteristics, the mechanical model is derived from the force balance of the micro-element, and verified by performance test and curve fitting. The effectiveness of the new damper structure proposed in this paper is verified by dynamic performance test. The results show that the damper has a wide range of current controlled damping force at low speed and reliable adaptive adjustment capability at high speed. Finally, the accuracy and universality of the modified mechanical model of damper are verified by curve fitting method. All these studies can offer an effective guidance for further application of MRSTF in the field of semi-active vibration control.
A composite control method of PWM and phase shift for a three-level DC-DC converter
Authors: Li Yang , Zuo Dongsheng , Zhang Haoran 
Published: September 2024

Abstract
This research introduces a control strategy for the Three Level Active Half Bridge (TL-DAHB) DC-DC converter that integrates PWM combined with phase-shift control. This composite control method precisely regulates the output voltage by adjusting the phase-shift duty cycle between the input and output sides. Additionally, the application of the PWM control loop optimizes the duty cycle of the switches, effectively reducing the current stress on the converter during operation, improving transmission efficiency, and decreasing conduction losses of the switches. These enhancements boost the overall performance and the reliability of the converter. With its excellent voltage regulation capabilities and safety features, this converter is an ideal choice in the field of power conversion, especially in applications that demand high levels of stability and safety.
Construction of small size and high output triboelectric nanogenerator by multi-layer-stacking and charge excitation
Authors: Li Gui , Li Wen , Wang Jian , Xu Shuyan , Fu Shaoke , Shan Chuncai , Wu Huiyuan , An Shanshan , Wang Ping 
Published: September 2024

Abstract
The triboelectric nanogenerator (TENG) has been considered a low-frequency mechanical energy collection and conversion device in the modern era. The reasonable stack structure of TENG is an effective method to boost its electric output performance within a limited space. Nevertheless, relying solely on the stacking structure, the TENG is unable to produce excessive output due to the low contact electrification capability of its materials. Hence, there are still significant challenges in enhancing the output performance of stacked TENGs. We propose a multi-layer-stack TENG (M-TENG) with two zigzag-shaped (Z-shaped) multilayer units interleaving and stacking with each other, which enormously enlarges the effective utilization area. Furthermore, a voltage multiplier circuit (VMC) incorporating a Zener diode allows the transfer charge to approach the critical threshold and maintain a stable output. The transfer charge and current of M-TENG integrated with a VMC can reach 1.52 μC and 86 μA, respectively, with the maximum output of the TENG being 8.65 mW (5 MΩ). To prove it as a self-power device, M-TENG excited by a VMC is employed to power 912 light-emitting diodes (LEDs) and three temperature and humidity sensors with a power management circuit (PMC), respectively. This work offers a new method for optimizing stacking-layer TENG electric output performance in a narrow space.
Modeling of the conditions of the process of biotransformation of fish raw materials by bacterial starter cultures
Authors: Lavrukhina E V , Zarubin N Y , Bredikhina O V , Grinevich A I , Arkhipov L O 
Published: September 2024

Abstract
In food biotechnology, special attention is given to the biotransformation by promising strains of bacterial starter cultures to obtain food products with improved quality characteristics and functional properties. Biotransformation using bacterial starter cultures may be a means to increase the shelf life of fish products, enhance their organoleptic properties, and increase their nutritional value through the formation of metabolites of their activity, which are the main factors of bioconservation and synthesis of vitamins and other biologically active substances. The probiotic properties of bacterial starter cultures will significantly influence the optimization of the indigenous microflora of the gastrointestinal tract, thereby strengthening the human body and its immune system overall to maintain a healthy lifestyle. The development of this trend is associated with the interest of the Russian population in products with a probiotic focus. In this regard, an analysis of data on the justification of the use of bacterial starter cultures for the biotransformation of fish raw materials has been conducted, and the necessary bacterial starter cultures have been selected. Based on theoretical and practical foundations, mathematical models of the biotransformation process by bacterial starter cultures have been constructed depending on the properties of fish raw materials and the biotechnological characteristics of the introduced microorganisms. The conducted research has been used to develop subsequent technological regimes for the biotransformation of fish raw materials by bacterial starter cultures as the basis for the formulations of “fast food” products containing functional components, which is justified by the accelerated pace of life and the desire of modern society to monitor their diet by consuming products that support a healthy lifestyle.
Detection and estimation of 3D shape of waste based on neural networks
Authors: Viatkin D , Malysheva S 
Published: September 2024

Abstract
This article considers the possibility of using neural networks to detect and recognize different types of waste and determine its shape. The developed algorithm can be used to automate the waste sorting process for further sorting, recycling or disposal. This article deals with the detection of 28 classes of objects made of iron, plastic, cardboard and glass with varying degrees of deformation and damage. The detection is based on the YOLO8 neural network. The quality of the YOLOv8 model was evaluated on test data using the following metrics: box_loss, cls_loss, dfl_loss, mAP50, mAP50-95, precision, recall. After training the neural network, the YOLOv8 metrics on the test data are: box_loss=1.14, cls_loss=2.21, dfl_loss=1.21, mAP50=0.48, mAP50-95=0.38, precision=0.60, recall=0.44. The 3d shape detection is done after analyzing the image by YOLOv8 model based on GLPN neural network.
Spatial and temporal evolution and drive mechanism of tourism ecological security based on DPSIRM-SBM model
Authors: Peng Guochuan , Zhang Fengtai , Yang Xingyu , Ma Dalai , Tan Hongmei 
Published: September 2024

Abstract
Tourism ecological security is an important indicator of the sustainable development of tourist destinations. Considering the complete embodiment of human social factors, the DPSIRM-SBM Model is cited and improved. Taking tourism ecological security of the Yangtze River Economic Belt as the research object, the characteristics of temporal and spatial evolution and its influencing mechanism are analyzed, aiming at making a scientific, comprehensive and systematic evaluation. It is found that the tourism ecological security of the Yangtze River Economic Belt is between sensitive and general security levels; Formed a spatial pattern with strong two ends and weak middle; The security advantages at the junction of provincial administrative regions are obvious; Regional differences first increase and then decrease, which accords with the theory of unbalanced growth;In terms of spatial agglomeration, the main type in YREB as a whole shifted from an initial downstream high-value agglomeration to a midstream low-value agglomeration; Sustainable tourism is affected by comprehensive factors, economic growth is not the main driving force, the construction of ecological civilization is very important.
Urban air quality comparison on bike and driving routes: a case study for UK
Authors: Babu Saheer Lakshmi , Ahmadpoor Negar , Thundikandi Maroli Jayasooryan 
Published: September 2024

Abstract
Air quality in cities is very important in both tackling climate change and promoting healthy sustainable urban living. Understanding the air quality around cities has been a challenge faced by local authorities around the world. With the new net zero targets in place, government and charitable organisations across the UK have been trying hard to both monitor and control air pollutants to influence citizen behavior towards environmentally friendly living. This study looks at urban air quality in two UK cities with the idea of understanding air quality and its relation to the mode of transport, health and well-being. This case study compares the urban air quality as Particulate Matter (PM
10 and PM
2.5) and gaseous pollutants (NO
2) on the bike and motor driving routes in Cambridge and Colchester. The study designed experiments and data collection campaigns to understand the factors leading to air quality fluctuations in urban traffic routes. The resulting measurements show that NO
2 concentrations are higher in motor driving routes and in certain locations on the bike routes that are part of (or very close to) the motor route. The PM concentrations are generally higher near parks and open greenspaces but can be argued to be within the recommended limits. Finally, this paper proposes steps to improve the urban infrastructure to tackle emissions and spread awareness among the citizens.
Enhancing mammography: a comprehensive review of computer methods for improving image quality
Authors: Santos Joana Cristo , Santos Miriam Seoane , Abreu Pedro Henriques 
Published: September 2024

Abstract
Mammography imaging remains the gold standard for breast cancer detection and diagnosis, but challenges in image quality can lead to misdiagnosis, increased radiation exposure, and higher healthcare costs. This comprehensive review evaluates traditional and machine learning-based techniques for improving mammography image quality, aiming to benefit clinicians and enhance diagnostic accuracy. Our literature search, spanning 2015 – 2024, identified 115 articles focusing on contrast enhancement and noise reduction methods, including histogram equalization, filtering, unsharp masking, fuzzy logic, transform-based techniques, and advanced machine learning approaches. Machine learning, particularly architectures integrating denoising autoencoders with convolutional neural networks, emerged as highly effective in enhancing image quality without compromising detail. The discussion highlights the success of these techniques in improving mammography images’ visual quality. However, challenges such as high noise ratios, inconsistent evaluation metrics, and limited open-source datasets persist. Addressing these issues offers opportunities for future research to further advance mammography image enhancement methodologies.
Recent advances in design and preparation of micro diamond cutting tools
Authors: Liu Hanzhong , Yan Yongda , Cui Jiwen , Geng Yanquan , Sun Tao , Luo Xichun , Zong Wenjun 
Published: September 2024

Abstract
Micro diamond tools are indispensable for the efficient machining of microstructured surfaces. The precision in tool manufacturing and cutting performance directly determines the processing quality of components. The manufacturing of high-quality micro diamond tools relies on scientific design methods and appropriate processing techniques. However, there is currently a lack of systematic review on the design and manufacturing methods of micro diamond tools in academia. This study systematically summarizes and analyzes modern manufacturing methods for micro diamond tools, as well as the impact of tool waviness, sharpness, and durability on machining quality. Subsequently, a design method is proposed based on the theory of cutting edge strength distribution to enhance tool waviness, sharpness, and durability. Finally, this paper presents current technical challenges faced by micro diamond tools along with potential future solutions to guide scientists in this field. The aim of this review is to contribute to the further development of the current design and manufacturing processes for micro diamond cutting tools.