bluuebunny/crossref_metadata_2025_split huggingface dataset:
Communication tool in management accounting: adapting Jakobson’s (1960) communication model
Authors: Huang Ying Sophie , Nemoto Moeki 
Published: September 2022

AbstractCognition is often a problem in management accounting communication. A gap arises between the sender and receiver of management accounting information, leading to miscommunication. A semiotic approach is a practical tool to decrease such miscommunication in management accounting. Jakobson’s communication model helps decrease such miscommunication. This study examines how Jakobson’s communication model is helpful for management accounting communication and our proposed communication model is intended to support management by providing relevant and timely information for planning, controlling, and decision-making. Additionally, our communication model is designed to decrease miscommunication.
Challenges and possible solutions to creating an achievable and effective Post-2020 Global Biodiversity Framework
Authors: Hughes Alice , Shen Xiaoli , Corlett Richard , Li Lin , Luo Maofang , Woodley Stephen , Zhang Yuanming , Ma Keping 
Published: September 2022

ABSTRACT
Global biodiversity is in crisis as a result of human activity. This biodiversity crisis has been well documented by scientists, recognized by world leaders, politicians, businesses, and citizens. Both the biodiversity and climate crises need to be addressed now. 2020 was when this change was supposed to start, with the 15th Conference of Parties (COP15) of the Convention on Biodiversity (CBD) meeting in Kunming, and the 26th Conference of Parties (COP26) of the UN Framework Convention on Climate Change meeting in Glasgow, but both meetings were postponed. COP26 was held a year late (November 2021), while COP15 was split into two, with the first part held in Kunming in October 2021, and the second part scheduled for Montreal in December 2022. This meeting in Montreal – arguably the most important in the CBDs history – must agree on the Post-2020 Global Biodiversity Framework (GBF), to reverse biodiversity loss. Failure to reach agreement in Montreal would ultimately be a failure of us all, with irreversible consequences for life on earth. Yet, with three months before the final deadline only 20% of text and two targets are agreed. This paper reviews the factors hindering progress on the agreement and suggests possible solutions.
A robust RGB-D SLAM based on multiple geometric features and semantic segmentation in dynamic environments
Authors: Kuang Benfa , Yuan Jie , Liu Qiang 
Published: September 2022

Abstract
In indoor dynamic scenes, traditional visual simultaneous localization and mapping (SLAM) algorithms based on RGB-D cameras incorrectly use dynamic features to estimate the poses of the cameras, and do not fully utilize the geometric information in the scenes, resulting in the low positioning accuracy and robustness of SLAM systems. To solve this problem, this paper proposes an RGB-D SLAM algorithm based on multiple geometric features and semantic segmentation. The core of our SLAM system is the proposed robust exclusion method of dynamic point and line features. The method consists of the following three steps: (a) identify potential dynamic point features using motion consistency checks; (b) obtain potential motion regions via semantic segmentation, and then determine dynamic regions by combining these with dynamic point features; (c) remove point and line features in dynamic regions. The exclusion method of dynamic point and line features can be easily integrated into RGB-D SLAM systems for improving the accuracy and robustness of SLAM systems in dynamic scenes. Experimental results on the Technische Universität München (TUM) dataset demonstrate that the proposed algorithm has better positioning accuracy and stability than the original dynamic semantic (DS-SLAM) algorithm in dynamic environments. The effectiveness of the proposed algorithm is verified by comparison with other classical visual SLAM algorithms. Better mapping performance is achieved by this proposed algorithm in actual indoor scenes.
Development of sound reflection and refraction experiment equipment
Authors: Kang Eunju , Park Jongho 
Published: September 2022

Abstract
The reflection and refraction of light are more familiar to students than the reflection and refraction of sound. Reflection and refraction that occur during the transmission of sound waves are common phenomena in everyday life but are often difficult to understand during actual learning. In this study, we developed a sound reflection and refraction test apparatus that can measure sound’s reflection and refraction angles by injecting sound using a super directional speaker with excellent straightness. Consequently, moving the sound sensor made it possible to find a point with high sound pressure and measure the sound’s reflection and refraction angles. Since this device is similar to the experimental device that measures the angle of reflection and refraction of light, it is expected to be able to phenomenologically compare and confirm the reflection and refraction paths of light and sound.
Imaging of polychromatic sources through Compton spectral reconstruction
Authors: Muñoz Enrique , Etxebeste Ane , Dauvergne Denis , Létang Jean Michel , Sarrut David , Maxim Voichita , Testa Etienne 
Published: September 2022

Abstract

Objective. Study the performance of a spectral reconstruction method for Compton imaging of polychromatic sources and compare it to standard Compton reconstruction based on the selection of photopeak events. Approach. The proposed spectral and the standard photopeak reconstruction methods are used to reconstruct images from simulated sources emitting simultaneously photons of 140, 245, 364 and 511 keV. Data are simulated with perfect and realistic energy resolutions and including Doppler broadening. We compare photopeak and spectral reconstructed images both qualitatively and quantitatively by means of activity recovery coefficient and spatial resolution. Main results. The presented method allows improving the images of polychromatic sources with respect to standard reconstruction methods. The main reasons for this improvement are the increase of available statistics and the reduction of contamination from higher initial photon energies. The reconstructed images present lower noise, higher activity recovery coefficient and better spatial resolution. The improvements become more sensible as the energy resolution of the detectors decreases. Significance. Compton cameras have been studied for their capability of imaging polychromatic sources, thus allowing simultaneous imaging of multiple radiotracers. In such scenarios, Compton images are conventionally reconstructed for each emission energy independently, selecting only those measured events depositing a total energy within a fixed window around the known emission lines. We propose to employ a spectral image reconstruction method for polychromatic sources, which allows increasing the available statistics by using the information from events with partial energy deposition. The detector energy resolution influences the energy window used to select photopeak events and therefore the level of contamination by higher energies. The spectral method is expected to have a more important impact as the detector resolution worsens. In this paper we focus on energy ranges from nuclear medical imaging and we consider realistic energy resolutions.
Unsupervised contrastive learning based transformer for lung nodule detection
Authors: Niu Chuang , Wang Ge 
Published: September 2022

Abstract

Objective. Early detection of lung nodules with computed tomography (CT) is critical for the longer survival of lung cancer patients and better quality of life. Computer-aided detection/diagnosis (CAD) is proven valuable as a second or concurrent reader in this context. However, accurate detection of lung nodules remains a challenge for such CAD systems and even radiologists due to not only the variability in size, location, and appearance of lung nodules but also the complexity of lung structures. This leads to a high false-positive rate with CAD, compromising its clinical efficacy. Approach. Motivated by recent computer vision techniques, here we present a self-supervised region-based 3D transformer model to identify lung nodules among a set of candidate regions. Specifically, a 3D vision transformer is developed that divides a CT volume into a sequence of non-overlap cubes, extracts embedding features from each cube with an embedding layer, and analyzes all embedding features with a self-attention mechanism for the prediction. To effectively train the transformer model on a relatively small dataset, the region-based contrastive learning method is used to boost the performance by pre-training the 3D transformer with public CT images. Results. Our experiments show that the proposed method can significantly improve the performance of lung nodule screening in comparison with the commonly used 3D convolutional neural networks. Significance. This study demonstrates a promising direction to improve the performance of current CAD systems for lung nodule detection.
Hidden Markov model in nonnegative matrix factorization for fetal heart rate estimation using physiological priors
Authors: Reséndiz Rojas Mariel , Fontecave-Jallon Julie , Rivet Bertrand 
Published: September 2022

Abstract

Objective. Fetal heart rate (fHR) analysis remains the most common technique for detecting fetal distress when monitoring the fetal well-being during labor. If cardiotocography (CTG) is nowadays the non-invasive clinical reference technique for fHR measurement, it suffers from several drawbacks, hence an increasing interest towards alternative technologies, especially around abdominal ECG (aECG). Approach. An original solution, using a single abdominal lead, was recently proposed to address both the feasibility in clinical routine and the challenging detection of temporal events when facing interfered signals from real life conditions. Based on a specification of the non-negative matrix factorization (NMF) algorithm, it exploits the semi-periodicity of fetal electrocardiogram (fECG) for fHR estimation. However, this method assumes temporal independence and therefore does not consider the continuity property of fHR values. It is thus proposed to add to the NMF framework a hidden Markov model (HMM) to include physiological information about fHR temporal evolution. Under a statistical setting, constraints have been added by accommodating regularization terms through Bayesian priors. Main results. The proposed method is evaluated on 23 real aECG signals from a new clinical database, according to CTG reference, and compared with the original NMF-only algorithm. The new proposed method improves performance, with an agreement with CTG increasing from 71% to 80%. Significance. This highlights the interest of a better modelization of the fHR characteristics for a more robust estimation.
Frequency estimation under non-Markovian spatially correlated quantum noise
Authors: Riberi Francisco , Norris Leigh M , Beaudoin Félix , Viola Lorenza 
Published: September 2022

Abstract
We study the estimation precision attainable by entanglement-enhanced Ramsey interferometry in the presence of spatiotemporally correlated non-classical noise. Our analysis relies on an exact expression of the reduced density matrix of the qubit probes under general zero-mean Gaussian stationary dephasing, which is established through cumulant-expansion techniques and may be of independent interest in the context of non-Markovian open dynamics. By continuing and expanding our previous work (Beaudoin et al 2018 Phys. Rev. A 98 020102(R)), we analyze the effects of a non-collective coupling regime between the qubit probes and their environment, focusing on two limiting scenarios where the couplings may take only two or a continuum of possible values. In the paradigmatic case of spin–boson dephasing noise from a thermal environment, we find that it is in principle possible to suppress, on average, the effect of spatial correlations by randomizing the location of the probes, as long as enough configurations are sampled where noise correlations are negative. As a result, superclassical precision scaling is asymptotically restored for initial entangled states, including experimentally accessible one-axis spin-squeezed states.
A fuzzy purchase model with backorders - GMI method of defuzzification
Authors: Kasthuri R , Vasanthi P , Ranganayaki S , Kavithamani K 
Published: September 2022

Abstract
A fuzzy EOQ model with backorders is considered in which the costs like setup, holding and the penalty price are assumed as triangular FN (fuzzy numbers). Graded mean integration approach which is more simple and accurate is employed to defuzzify the cost functions. The model is illustrated with numerical examples to compute the optimal values.
Rendering Abstract Notation of Kinematic Chains to Modified Franke’s Notation Form
Authors: H Manikandan , Kaup Vijayananda , Babu Harish 
Published: September 2022

Abstract
To bring about innovation in the development of any product, it is required that the designer explores multitude design concepts right at the conceptual design phase of the product development cycle. At this phase, results of structural synthesis and analysis of mechanisms have been shown to serve as an invaluable tool in the attempt to infuse novelty in the design being conceptualized. There are several studies available in literature dealing with structural enumeration of kinematic chains. Invariably, all these studies culminate in reporting the results in an abstract form such as link adjacency matrix or its simpler variants like joints’ lists, etc. Certainly, it will be more useful to designers if the chain were reported in the pictorial form since it will be more intuitive for designers to fruitfully relate what is in his mind as an unformulated idea to what is directly visible as a sketch. This paper presents the results of a computer based method that converts link adjacency matrix into modified Franke’s notation format. The way to draw full-fledged chain from its modified Franke’s notation form is explained. Chains containing 8 or more links and possessing 1 to 5 freedoms have been sketched and made available in the form of a PDF file.
Research on the effects of raft on vibration isolation
Authors: Zhang Zhenli , Liu Haijian , Tan Haitao , Wang Qiangyong , Chao Shang , Yang Xuesong , Guo Hanbei 
Published: September 2022

Abstract
The floating raft vibration isolation system includes upper and lower isolators and middle raft. As one of the most important parts that affect the performance of vibration isolation, the raft is usually assumed to be an undamped or viscous damping structure in the analysis, which is different from the actual situation. To study the effects of raft with hysteresis damping characteristics, a three-freedom complex stiffness mechanical model was built, and an approach for calculating the raft's force transmission rate was derived from impedance methods. Based on the mechanical model and a large-sized floating raft, we analysed the effects of raft mass, stiffness and damping on vibration isolation through numerical calculation. Results show that increasing raft mass improved vibration isolation over most frequency ranges; increase in raft stiffness contributed to improved isolation performance over frequency ranges near its low-order natural frequencies, while reduced the performance over higher frequency ranges; and greater raft damping led to enhanced vibration isolation at its natural frequencies and higher frequency ranges.
Experimental study on the anti-penetration performance of 675 armor steel at low temperature
Authors: Chang Xuna , Han Feng , Ren Yunyan , Zhou Qiao , Liu Yang 
Published: September 2022

Abstract
675 armor steel is a kind of high strength and hard steel newly developed and put into use, which has excellent anti-penetration performance. In order to study the anti-penetration performance of 675 armor steel on 30CrMnSiNi2A projectile and analyze the influence of low temperature on the anti-penetration performance of 675 armor steel. By impacting 675 armor steel with a one-stage light-gas gun, the mechanism of action of the target and the mechanical behavior of armor steel were analyzed. On this basis, adjusted the experimental temperature of 675 armor steel. It was found that the 675 armor steel target plate crater and dorsal mutant are consistent with temperature changes in the range of -40 to 15 °C, increasing first and then decreasing with the increase of temperature, and the dorsal mutant is smaller than the deformation of the crater. None of the projectiles can form penetrating pores on the target plate and the projectile fragmentation occurs at the beginning of the target collision at 4 different temperatures. The projectile impact target plate has a slight damage crater on the front and a bulge on the back. The results of this paper can provide important reference value for the analysis of the role of the target and the study of the anti-penetration mechanism of 675 armor steel.
Impact of cryogenic treatment on the microstructure and properties of a thermo-mechanically processed Cu-11Fe composite
Authors: Liu Keming , Jin Ying , Fu Kai , Shi Jinke , Li Mulin , Wen Jiahao , Zhang Yanyan , Shen Zhi , Huang Zhikai 
Published: September 2022

Abstract
The conductivity and strength of Cu-Fe composites are contradictory. Cryogenic treatment is a promising process to improve the conductivity and strength of materials at the same time. The impact of cryogenic treatment on a thermo-mechanically processed Cu-11Fe composite was studied using a digital micro-ohmmeter, a tensile testing machine and optical microscopy. The average size of the iron grain in the cryogenically treating Cu-11Fe alloy decreased and the distribution was more uniform after the cryogenic treatment. The grain refinement and the distribution uniformity increased with improving cryogenic treatment time. The elongation to fracture and tensile strength improved first with increasing cryogenic treatment time to a peak value at 18 h and 12 h respectively, and subsequently tended to be stable at longer cryogenic treatment time. The electrical resistivity decreased first with the increase of cryogenic treatment time, then reached an electrical resistivity valley value at 18 h, and subsequently tended to be stable at longer cryogenic treatment time.
Study on high thermal conductivity insulation materials for wide temperature range applications
Authors: Huang Haichao , Zhao Dongyan , Chen Yanning , Fu Zhen , Wang Shuaipeng , Liu Fang 
Published: September 2022

Abstract
A new design method of highly reliable thermally conductive packaging material is proposed for the heat dissipation problem of high-density packaging of chips. The high reliability is obtained by high temperature condensation of AlN particles suspension of PAA. Focusing on the influence law of the content of AIN on the electronic packaging material, the experimental results show that the thermal conductivity reaches 3.8 W/(m⋅K) when the mass percentage of AIN reach more than 60%. The Td in N2 is 524°C. The surface of AIN is modified by the macromolecular coupling agent GBM to increase the compatibility of AIN with the Polymeric materials. The tensile strength of PI/AlN composite is 170 MPa, and the material has good insulation performance when the temperature rises to 200°C under 120 kV/mm electric field, which meets the application requirements of high-density chip packaging.
Study on Structural, Electrical and Magnetical Properties of Zn Doped CuAlO2 Ceramics
Authors: Liu Yantao , Wang Ying , Ma Jianping 
Published: September 2022

Abstract
To improve the properties of CuAlO2 thin films, the preparation of CuAlO2 ceramics with excellent properties is an important prerequisite, and the optimization of ceramic properties is often achieved by doping. Zn-doped CuAlO2 ceramics were prepared by the solid phase sintering method. The structural, electrical and magnetic properties of Zn-doped CuAlO2 ceramics were systematically studied. The results show that the crystal structure of the as-sintered Zn-doped CuAlO2 was rhombohedral, space group R3m. Grain size of samples grew with the amount of Zn increases, which is related to the enhancement of CuAl2O4 phases in the sample ceramics. The density of doped ceramics changed when increasing Zn-doping concentration compared to undoped ceramics. It reached a minimum 0.96 g/cm3. The resistivity of Zn-doped CuAlO2 ceramic samples climbed with the increase of Zn content, and it can reach 59.6 Ω•cm at 10 mol%. The ferromagnetic behavior was enhanced with increasing the Zn concentration.
Study on hydrophobic properties of coatings enhanced by organofluorosilicone polymers
Authors: Xiang Dingding , Liu Kanglian , Wu Dawang , Zhou Jing , Cao Maoqi , Mao Haili 
Published: September 2022

Abstract
Hydrophobic materials are widely used in industry and life. It is of great practical significance to develop new hydrophobic materials. In this paper, organofluorosilicone polymers were prepared by low-cost and easily accessible process using organofluorosilicone prepolymers as reactants and under the action of organosilicon crosslinking agent. Infrared spectrum test showed that the prepared organofluorosilicone polymer had obvious C-F stretching vibration peak at 1211cm-1, which proved the effective synthesis of organofluorosilicone polymer. The test of contact Angle under water condition shows that the water contact Angle of coating materials added with organofluorosilicone polymer is larger. Therefore, organofluorosilicone polymer can be used as a kind of efficient hydrophobic additive to enhance the hydrophobicity of coating materials.
The study on modulable tin whisker growth behaviors and mechanisms on Ti2SnC
Authors: Liu Yushuang , Zhang Peigen , Sun ZhengMing 
Published: September 2022

Abstract
The spontaneous growth of tin whiskers has resisted interpretation for more than 70 years. Herein, tin whisker growth behaviours on Ti2SnC bulks cold-pressed under different pressures were studied. It was found that higher whisker growth propensity is reached when Ti2SnC cold-pressed under higher pressure. Several thicker whiskers with diameter more than 3 μm were observed on the samples formed under higher pressure, while the diameter of more than 50% whiskers ranges from 0.5 μm to 1.5 μm for all of the samples. An atomic motion mechanism, in which the element source supplying Sn whisker growth diffuse through the Sn atom layer in Ti2SnC lattice, and the interaction between Ti2SnC and Sn is considered to be the fundamental factor initiating the Sn whisker growth, was employed to understand the phenomena. The findings herein provide new clues to understand the tin whisker growth behaviors and modulable metal whisker fabrication.