bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-agent collaborative control parameter prediction for intelligent precision loading
Authors: Chen Zihua , Wang Chuanli , Li Jingzhao , Zhang Shunxiang , Ouyang Qichun 
Published: March 2022

AbstractDue to the low adjustment accuracy of manual prediction, conventional programmable logic controller systems can easily lead to inaccurate and unpredictable load problems. The existing multi-agent systems based on various deep learning models has weak ability for advanced multi-parameter prediction while mainly focusing on the underlying communication consensus. To solve this problem, we propose a hybrid model based on a temporal convolutional network with the feature crossover method and light gradient boosting decision trees (called TCN-LightGBDT). First, we select the initial dataset according to the loading parameters' tolerance range and supply supplementing method for the deviated data. Second, we use the temporal convolutional network to extract the hidden data features in virtual loading areas. Further, a two-dimensional feature matrix is reconstructed through the feature crossover method. Third, we combine these features with basic historical features as the input of the light gradient boosting decision trees to predict the adjustment values of different combinations. Finaly, we compare the proposed model with other related deep learning models, and the experimental results show that our model can accurately predict parameter values.
Augmented reality for visualization the narrow areas in jaw surgery: modified Correntropy based enhanced ICP algorithm
Authors: Puri Anjana , Alsadoon Abeer , Prasad P. W. C. , Al-Neami Israa , Haddad Sami 
Published: March 2022

AbstractOver time, Augmented Reality (AR) based technology becomes not being properly to implement with oral and maxillofacial surgery to visualise the narrow area spot in jaw surgery as blood vassals and root canals in these types of surgeries. Image registration is considered the major limitation of using the AR in these types of surgeries and reduces the accuracy of visualising the narrow areas. In this research, we propose a Correntropy based scale ICP algorithm as a solution to improve the image registration during jaw surgery. Correntropy is considered here to minimise the error metric of the ICP algorithm instead of the Euclidean distance measurement compared to the state-of-the-art solution. This led to decrease the registration error, increase the video accuracy and reduce the processing time simultaneously. The proposed system consists of Enhanced Tracking Learning Detection (TLD), which is used as an occlusion removal featured algorithm in the intra-operative stage of the AR-based jaw surgery system. In this research, a Modified Correntropy-based enhanced ICP (MCbeICP) algorithm is proposed for the system’s pose-refinement phase. Moreover, this proposed algorithm (MCbeICP) has a new function to process the point set registration with great noises and outliers. It eliminates the poor performance of the ICP algorithm of the noisy point set. Furthermore, the ICP algorithm considers the scale factor to register the point with different scales of the real-time video and the sample models. Additionally, this method improves the result of the pose refinement stage in terms of registration accuracy and processing time. By this method, the pose refinement stage gives an improved result in terms of registration accuracy and processing time. The samples, which were taken from the upper (maxillary) and the lower (mandible) jaw bone show that the proposed algorithm provides a significant accuracy improvement in alignment to 0.21- 0.29 mm from 0.23 to 0.35 mm and an increment in processing time from 8 to 12 frames per second (fs/s) to 10-14 fs/s compared to the result provided by state of the art. The proposed augmented reality (AR) system is focused on the overlay accuracy and processing time. Finally, this study addressed the limitation of Image registration with AR using modified Correntropy-based enhanced ICP algorithm to implement oral and maxillofacial surgery successfully.
3DFCNN: real-time action recognition using 3D deep neural networks with raw depth information
Authors: Sánchez-Caballero Adrián , de López-Diz Sergio , Fuentes-Jimenez David , Losada-Gutiérrez Cristina , Marrón-Romera Marta , Casillas-Pérez David , Sarker Mohammad Ibrahim 
Published: March 2022

AbstractThis work describes an end-to-end approach for real-time human action recognition from raw depth image-sequences. The proposal is based on a 3D fully convolutional neural network, named 3DFCNN, which automatically encodes spatio-temporal patterns from raw depth sequences. The described 3D-CNN allows actions classification from the spatial and temporal encoded information of depth sequences. The use of depth data ensures that action recognition is carried out protecting people’s privacy, since their identities can not be recognized from these data. The proposed 3DFCNN has been optimized to reach a good performance in terms of accuracy while working in real-time. Then, it has been evaluated and compared with other state-of-the-art systems in three widely used public datasets with different characteristics, demonstrating that 3DFCNN outperforms all the non-DNN-based state-of-the-art methods with a maximum accuracy of 83.6% and obtains results that are comparable to the DNN-based approaches, while maintaining a much lower computational cost of 1.09 seconds, what significantly increases its applicability in real-world environments.
Consistent attentive dual branch network for person re-identification
Authors: Munir Asad , Martinel Niki , Micheloni Christian 
Published: March 2022

AbstractSeveral recent person re-identification methods are focusing on learning discriminative representations by designing efficient metric learning loss functions. Other approaches design part based architectures to compute an informative descriptor based on local features from semantically coherent parts. Few efforts learn the relationship between distant similar regions and parts by adjusting them to their most feasible positions with the help of soft attention. However, they focus on calibrating distant similar parts features and ignore to learn the noise (blur) free and distinct feature representations as the person re-identification datasets contain degraded images. To tackle these issues, we propose a novel Consistent Attention Dual Branch Network (CadNet) that has ability to model long-range dependencies (correlations) between channels as well as feature maps. We adopt multiple classifiers trained to learn the most discriminative global features for a unique representation of a person. Correlation between channels are consistently computed by using channel attention mechanism to make the learned feature noise free and distict from noisy and blurry data. Feature correlations interpret the relationship between distant similarities in the images computed by the self attention mechanism. The proposed CadNet significantly enhances the performance with respect to the baseline on the person re-identification benchmarks.
Global debris flow susceptibility based on a comparative analysis of a single global model versus a continent-by-continent approach
Authors: Kurilla Laurie Jayne , Fubelli Giandomenico 
Published: March 2022

AbstractDebris flows, and landslides in general, are worldwide catastrophic phenomena. As world population and urbanization grow in magnitude and geographic coverage, the need exists to extend focus, research, and modeling to a continental and global scale. Although debris flow behavior and parameters are local phenomena, sound generalizations can be applied to debris flow susceptibility analyses at larger geographic extents based on these criteria. The focus of this research is to develop a global debris flow susceptibility map by modeling at both a continental scale for all continents and by a single global model and determine whether a global model adequately represents each continent. Probability Density, Conditional Probability, Certainty Factor, Frequency Ratio, and Maximum Entropy statistical models were developed and evaluated for best model performance using fourteen environmental factors generally accepted as the most appropriate debris flow predisposing factors. Global models and models for each continent were then developed and evaluated against verification data. The comparative analysis demonstrates that a single global model performs comparably or better than individual continental models for a majority of the continents, resulting in a debris flow susceptibility map of the world useful for in-depth research, international planning, and future debris flow susceptibility modeling and determining societal impacts.
The role of financial literacy in households’ asset accumulation process: evidence from Ghana
Authors: Koomson Isaac , Villano Renato A. , Hadley David 
Published: March 2022

AbstractThis paper examines the impact of financial literacy training on household asset accumulation using data collected from a randomised controlled trial implemented in Ghana. Financial assets are measured using account holdings and savings while durable assets and their decomposed components are captured using their total values. After testing for baseline balance, impact is estimated using treatment effect models. We find that financial literacy training plays a significant role in accumulation of both financial and durable assets, but the impact is more evident in the accumulation of productive durable assets. Our overall findings on productive and non-productive assets are robust to alternative conceptualisations of what constitutes productive and non-productive assets. Our results also show that financial literacy training has an impact on the accumulation of both total and productive assets in female-beneficiary households, as well as enhancing account holdings for females, although this effect was larger for males. The analyses for different age cohorts also revealed that financial literacy training results in higher asset accumulation among younger household heads.
Model Synthetic Samples for Validation of NMR Signal Simulations
Authors: Ling Nicholas N. A. , Hussaini Syed Rizwanullah , Elsayed Mahmoud , Connolly Paul R. J. , El-Husseiny Ammar , Mahmoud Mohamed , May Eric F. , Johns Michael L. 
Published: March 2022

AbstractSimulations of nuclear magnetic resonance (NMR) signal from fluids contained in porous media (such as rock cores) need to account for both enhanced surface relaxation and the presence of internal magnetic field gradients due to magnetic susceptibility contrast between the rock matrix and the contained fluid phase. Such simulations are typically focussed on the extraction of the NMR T2 relaxation distribution which can be related to pore size and indirectly to system permeability. Discrepancies between such NMR signal simulations on digital rock cores and associated experimental measurements are however frequently reported; these are generally attributed to spatial variations in rock matric composition resulting in heterogeneously distributed NMR surface relaxivities (ρ) and internal magnetic field gradients. To this end, a range of synthetic sediments composed of variable mixtures of quartz and garnet sands were studied. These two constituents were selected for the following reasons: they have different densities allowing for ready phase differentiation in 3D μCT images of samples to use as simulation lattices and they have distinctly different ρ and magnetic susceptibility values which allow for a rigorous test of NMR simulations. Here these 3D simulations were used to calculate the distribution of internal magnetic field gradients in the range of samples, these data were then compared against corresponding NMR experimental measurements. Agreement was reasonably good with the largest discrepancy being the simulation predicting weak internal gradients (in the vicinity of the quartz sand for mixed samples) which were not detected experimentally. The suite of 3D μCT images and associated experimental NMR measurements are all publicly available for the development and validation of NMR simulation efforts.
Trajectory planning and base attitude restoration of dual-arm free-floating space robot by enhanced bidirectional approach
Authors: Xie Zongwu , Zhao Xiaoyu , Jiang Zainan , Yang Haitao , Li Chongyang 
Published: March 2022

AbstractWhen free-floating space robots perform space tasks, the satellite base attitude is disturbed by the dynamic coupling. The disturbance of the base orientation may affect the communication between the space robot and the control center on earth. In this paper, the enhanced bidirectional approach is proposed to plan the manipulator trajectory and eliminate the final base attitude variation. A novel acceleration level state equation for the nonholonomic problem is proposed, and a new intermediate variable-based Lyapunov function is derived and solved for smooth joint trajectory and restorable base trajectories. In the method, the state equation is first proposed for dual-arm robots with and without end constraints, and the system stability is analyzed to obtain the system input. The input modification further increases the system stability and simplifies the calculation complexity. Simulations are carried out in the end, and the proposed method is validated in minimizing final base attitude change and trajectory smoothness. Moreover, the minute internal force during the coordinated operation and the considerable computing efficiency increases the feasibility of the method during space tasks.
Organizational Work-Home Culture and its Relations with the Work–Family Interface and Employees’ Subjective Well-being
Authors: Bobbio Andrea , Canova Luigina , Manganelli Anna Maria 
Published: March 2022

Abstract
The two studies reported in this paper aimed to present and discuss both the validation of the Work-Home Culture (WHC) scale (Dikkers et al., Work & Stress, 21(2), 155–172, 2007) in the Italian context (Study 1), and a relational model that links the WHC to subjective well-being via the mediation of three facets of the work-home interface: work-family conflict, work-family enrichment and work-family balance (Study 2). Heterogeneous samples of workers from different organisations took part in the cross-sectional studies. Substantial support was provided for the robustness of the factorial structure of the 18-item WHC scale with five factors (three support dimensions and two hindrance dimensions). Individuals’ perceptions of a supportive WHC that characterises the organisation they work for – particularly with respect to work-family issues and the use of family-friendly benefits – turned out to be positively associated with work-family enrichment and balance. Only organisational time demands, which is a hindrance dimension, was associated with work-family conflict. Moreover, our findings suggest that WHC is significantly associated with subjective well-being and that this association is largely indirect – through the facets of work-family interface – rather than direct. The results of the two studies represent a relevant achievement from the perspective of conducting future research using this measure in different socio-cultural environments and ad hoc interventions in the fields of organisational psychology and occupational health.
Body Mass Index Thresholds and the Use of Bariatric Surgery in the Field of Kidney Transplantation in Germany
Authors: Dziodzio Tomasz , Hillebrandt Karl Herbert , Knitter Sebastian , Nösser Maximilian , Globke Brigitta , Ritschl Paul Viktor , Biebl Matthias , Denecke Christian , Raakow Jonas , Lurje Georg , Schöning Wenzel , Schmelzle Moritz , Kahl Andreas , Fütterer Markus , Budde Klemens , Eckardt Kai-Uwe , Halleck Fabian , Pratschke Johann , Öllinger Robert ,   German Bariatric Surgery, Kidney Transplantation Group, Volker Assfalg , Anette Bachmann , Peter Benoehr , Adrian Billeter , Felix Braun , Jens Brockmann , Aydin Er , Susan Foller , Frank Friedersdorff , Andreas Fuehrer , Josef Geks , Klaus Grabitz , Martina Guthoff , Wilfried Gwinner , Fabian Halleck , Michael Heise , Uta Herden , Histros Karakizlis , Michael Keese , Stephan Kersting , Martina Koch , Markus Krautter , Uwe Kuhlmann , Christine Kurschat , Sven Lang , Lutz Liefeldt , Shanti Lokhande , Kai Lopau , Steffen Manekeller , Christian Mönch , Anja Mühlfeld , Silvio Nadalin , Martin Nitschke , Robert Öllinger , Mirian Opgenoorth , Ulrich Pein , Ursula Pession , Przemyslaw Pisarski , Juliane Putz , Thomas Rath , Peter Schenker , Daniel Seehofer , Stefan Siemer , Florian Sommer , Michael Stroehlein , Walter Treckmann Jürgen , Julia Weinmann-Menke , Peter Weithofer , Karl Wiegand , Daniel Zecher 
Published: March 2022

AbstractBackgroundObesity in the recipient is linked to inferior transplant outcome. Consequently, access to kidney transplantation (KT) is often restricted by body mass index (BMI) thresholds. Bariatric surgery (BS) has been established as a superior treatment for obesity compared to conservative measures, but it is unclear whether it is beneficial for patients on the waiting list.MethodsA national survey consisting of 16 questions was sent to all heads of German KT centers. Current situation of KT candidates with obesity and the status of BS were queried.ResultsCenter response rate was 100%. Obesity in KT candidates was considered an important issue (96.1%;n = 49/51) and 68.6% (n = 35/51) of departments responded to use absolute BMI thresholds for KT waiting list access with ≥ 35 kg/m2(45.1%;n = 23/51) as the most common threshold. BS was considered an appropriate weight loss therapy (92.2%;n = 47/51), in particular before KT (88.2%;n = 45/51). Sleeve gastrectomy was the most favored procedure (77.1%;n = 37/51). Twenty-one (41.2%) departments responded to evaluate KT candidates with obesity by default but only 11 (21.6%) had experience with ≥ n = 5 transplants after BS. Concerns against BS were malabsorption of immunosuppressive therapy (39.2%;n = 20/51), perioperative morbidity (17.6%;n = 9/51), and malnutrition (13.7%;n = 7/51).ConclusionsObesity is potentially limiting access for KT. Despite commonly used BMI limits, only few German centers consider BS for obesity treatment in KT candidates by default. A national multicenter study is desired by nearly all heads of German transplant centers to prospectively assess the potentials, risks, and safety of BS in KT waitlisted patients.Graphical abstract
Analysis of Whole Blood and Urine Trace Elements in Children with Autism Spectrum Disorders and Autistic Behaviors
Authors: Zhao Gang , Liu Si-jin , Gan Xin-yu , Li Jun-ru , Wu Xiao-xue , Liu Si-yan , Jin Yi-si , Zhang Ke-rang , Wu Hong-mei 
Published: March 2022

AbstractThe relationship between trace elements and neurological development is an emerging research focus. We performed a case–control study to explore (1) the differences of 13 trace elements chromium (Cr), manganese (Mn), cobalt (Co), zinc (Zn), arsenic (As), selenium (Se), molybdenum (Mo), cadmium (Cd), stannum (Sn), stibium (Sb), mercury (Hg), titanium (TI), and plumbum (Pb) concentration in whole blood and urine between autism spectrum disorder (ASD) children and their typical development peers, and (2) the association between the 13 trace elements and core behaviors of ASD. Thirty ASD subjects (cases) and 30 age-sex-matched healthy subjects from Baise City, Guangxi Zhuang Autonomous Region, China, were recruited. Element analysis was carried out by inductively coupled plasma-optical emission spectrometry. Autistic behaviors were assessed using Autism Behavior Checklist (ABC), Childhood Autism Rating Scale (CARS), and Children Neuropsychological and Behavior Scale (CNBS). The whole blood concentrations of Mo (p = 0.004), Cd (0.007), Sn (p = 0.003), and Pb (p = 0.037) were significantly higher in the ASD cases than in the controls. Moreover, Se (0.393), Hg (0.408), and Mn (− 0.373) concentrations were significantly correlated between whole blood and urine levels in ASD case subjects. There were significant correlations between whole blood Sb (0.406), Tl (0.365), Mo (− 0.4237), Mn (− 0.389), Zn (0.476), and Se (0.375) levels and core behaviors of ASD. Although the mechanism of trace element imbalance in ASD is unclear, these data demonstrate that core behaviors of ASD may be affected by certain trace elements. Further studies are recommended for exploring the mechanism of element imbalance and providing corresponding clinical treatment measures.
Immigration, Domination, and ‘Proportional Patriotism’: Recovering the Sociology of Herbert Adolphus Miller
Authors: Balon Jan , Holmwood John 
Published: March 2022

AbstractThis article addresses the sociological approach and political engagements of the early twentieth century sociologist, Herbert Adolphus Miller (1875–1951). He is now largely forgotten, but he had deep connections within the Chicago milieu of pragmatist sociology and social reform activities through both the Settlement movement and the Survey movement. In 1914 he wrote a volume in the Cleveland Survey on Immigrant children in the school system and in 1918 was appointed to head the division on Immigrant Contributions in the Carnegie Corporation’s project on ‘Methods of Americanization’, in which Robert E. Park was head of the division on Immigrant Press and Theater (Park in The Immigrant Press, 1922). If Miller’s name is recognized at all it is as author with Park ofOld World Traits Transplanted(1921), a work subsequently attributed to W. I. Thomas. We examine the nature of Miller’s research on immigrant populations from subject nationalities in Europe, undertaken in Cleveland and as part of the Carnegie project. He left the latter project mid-way through to become part of a small group that drafted the Czechoslovakian Declaration of Independence in November 1918. We show how Miller developed a distinctive approach to ‘Americanization’ through his idea of ‘proportional patriotism’ that challenged the dominant discourse of assimilation that became entrenched in the years after the end of the first world war and which was largely accepted by Park and by Thomas. He was dismissed in 1932 from Ohio State University because of his views on race mixing and his criticisms of the British and Japanese empires.