bluuebunny/crossref_metadata_2025_split huggingface dataset:
ISHIGAKI Retrieval System Using 3D Shape Matching and Combinatorial Optimization
Authors: Koutaki Gou , Ando Sakino , Shirai Keiichiro , Kishigami Tsuyoshi 
Published: July 2022

AbstractIn April 2016, a massive earthquake with a magnitude of 7.3 struck Kumamoto region, Japan, causing major devastation. One of the structures that were damaged in Kumamoto was Kumamoto Castle, a cultural asset of great significance in Japan. The stone retaining wall “ishigaki” that formed the foundation of the castle collapsed, and the superstructure was destroyed. The number of stones is estimated to be more than 70,000, and restoration work is anticipated to take more than 20 years. Since each of the stones is an important cultural asset, the broken stone structure needed to be restored to its original state in order not to lose its cultural value forever. In addition, the fallen stones need to be returned to their original positions in the ishigakis. In similar cases, non-automatic visual verification was used. However, for Kumamoto Castle, this would have been impossible because a large number of stones were displaced as a result of the collapse. The purpose of this project is to provide support for the restoration work by matching the stones that fell down after the collapse with those before the collapse using information technology, such as computer vision and optimization technologies. Specifically, we captured photographic images of the stones before and after the collapse to match them. The technical contributions of this study are as follows: (a) To estimate the scale and surface orientation of the stones, we exploit 3D model construction from the images. (b) To solve the jigsaw-puzzle-like problem of reassembling the stone fragments, we exploit the combination of a customized iterative closest point (ICP) algorithm for shape position matching and an assignment algorithm to find the best pairs of stones before and after the collapse by using the matching degree obtained from ICP. Here, only the 2D shape of the stones before the collapse can be used due to the small number of photos available. In contrast, a detailed 3D shape can be obtained from the stones after their collapse. We matched these asymmetric data in 2D and 3D to enable a comprehensive reconstruction. (c) We developed a user-friendly graphical user interface system that was used by actual masons without special knowledge. The developed system was used to match the ishigaki of a turret, Iidamaru. As a result, we succeeded in identifying 337 stones, or approximately 90% of the 370 images. These results are expected to be useful for and were used as a blueprint during actual restoration work.
Ultra-High-Throughput EMS NB-LDPC Decoder with Full-Parallel Node Processing
Authors: Harb Hassan , Ghouwayel Ali Chamas Al , Conde-Canencia Laura , Marchand Cédric , Boutillon Emmanuel 
Published: July 2022

AbstractThis paper presents an ultra-high-throughput decoder architecture for NB-LDPC codes based on the Hybrid Extended Min-Sum algorithm. We introduce a new processing block that updates a check node and its associated variable nodes in a fully pipelined way, thus allowing the decoder to process one row of the parity check matrix per clock cycle. The work specifically focuses on a rate 5/6 code of size (N, K) = (144, 120) symbols over GF(64). The synthesis results on a 28-nm technology show that for a 0.789 M NAND-gates complexity complexity, the architecture reaches a decoding throughput of 0.9 Gbps with 30 decoding iterations. Compared to the 5G binary LDPC code of the same size and code rate, the proposed architecture offers a gain of 0.3 dB at a Frame Error Rate of $$10^{-3}$$

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Life satisfaction in Europe and Iran: the role of self-esteem, gender identification and ambivalent sexism
Authors: Rollero Chiara , Czepczor-Bernat Kamila , Fedi Angela , Boza Mihaela , Brytek-Matera Anna , Lemoine Jérémy E. , Sahlan Reza N. , Wilson Emma , De Piccoli Norma , Gattino Silvia 
Published: July 2022

AbstractLife satisfaction is one of the most relevant indicators of psychological health. The present study aimed at extending previous research on life satisfaction by examining its antecedents for men and women in five countries (e.g., Italy, Poland, Romania, the UK, and Iran), with different levels of gender equality, according to the Global Gender Gap Index. Besides traditional variables (i.e., age, self-esteem and income), we also investigated the role of ambivalent sexism and gender identification. Participants were 2561 adults (54% female). Results showed the key role of self-esteem for both men and women and across countries. Gender identification was positively associated with life satisfaction, with the only exception of the more gender egalitarian country, i.e., the UK. Furthermore, in the less egalitarian countries, i.e., Italy and Iran, life satisfaction is also positively related to benevolent stereotypes toward men. Taken together, findings underline the interdependence between personal and contextual dimensions in sustaining life satisfaction, and the role of gender as a significant variable in terms of both the existence of different patterns for men and women and the effects of gender stereotypes across cultures.
Home learning environment and out-of-home activities: their relations to prosocial behaviour and peer relationships in primary school children
Authors: Volodina Anna 
Published: July 2022

AbstractThere is consensus that child socio-emotional development is influenced by various contexts, such as the family one. Research on influencing factors on child socio-emotional skills mainly investigated the effects of home learning environment, whereas the effects of out-of-home activities were often analysed mainly in samples of adolescents. The present study aimed to shed light on effects of preschool home learning environment and out-of-home activities on two facets of socio-emotional skills at the beginning of primary school: Prosocial behaviour and peer relationships. The information on the child prosocial behaviour and peer relationships at preschool age was included with the aim to control for most of the differences across children. Using data from a large sample of children (N = 1,818; Mage = 7.08 years, SD = 0.15; 49.9% girls), results of regression analyses show significant effects of out-of-home activities on prosocial behaviour after controlling a range of child- and family-related influencing factors on prosocial behaviour as well as prosocial behaviour at preschool age. The effects of home learning environment were significant after controlling a range of child- and family-related influencing factors on both facets of socio-emotional skills but became nonsignificant after taking into account respective behaviour at preschool age. The results of the present study suggest that fostering participation in out-of-home activities might contribute to an increase of prosocial behaviour in primary school children.
Open Anterior Component Separation for Complex Incisional and Ventral Hernias—When and How? Case Series Analysis
Authors: Moga Doru , Oprea Valentin 
Published: July 2022

Abstract

Closing the midline in patients with incisional hernias is the cornerstone for a functional reconstruction with low morbidity, low recurrence rates, and good cosmetic results, which is the ideal outcome for every hernia surgeon. However, in patients with large hernias (usually over 10 cm width) or in loss of domain cases, this goal is difficult to achieve. Anterior component separation with or without mesh reinforcement has been the procedure of choice for these patients despite its high rate of wound complications. The goal of our study is to evaluate the opportunity and necessity of the anterior component separation in patients with complex incisional or ventral hernias (defects larger than 10 cm, infected meshes). Data of patients with large incisional/ventral hernia operated using anterior component separation technique in the past 10 years were re-visited and analyzed from hospital records between January 2012 and December 2020. Demographic data (age, gender, body mass index, ASA score) and the main steps of the technique were recorded. Data were reported as mean and standard deviation. We used the anterior component separation in 66 cases, mainly for septic conditions (open abdomen, chronic and extended infections of the abdominal wall, chronic-infected meshes). For large parietal defects with aseptic local condition, we used mesh-reinforced anterior component separation (five patients). Mean age was 68.7 years. Among them, 29 patients developed wound complications (hematoma, seroma, infection). Mean hospital stay was 12.6 days. Recurrence was 18% in patients without mesh and zero in patients with mesh reinforcement after a minimum one-year follow-up. Anterior component separation is still a valid procedure in patients with large abdominal defects especially when a septic wound is to be closed. For large parietal defects, if a wide subcutaneous dissection is required, mesh-reinforced anterior component separation remains a valid alternative in abdominal wall reconstruction in certain cases (mainly aseptic conditions).
A Robust Superhydrophobic Smart Coating with Reversible Thermochromic and Photochromic Property
Authors: Wang Peng , Zhang Xuesong , Wang Zhihao , Chen Tao , Zhang Honglian , Duan Wei , Han Huilong 
Published: July 2022

AbstractBoth thermochromic and photochromic coating have attracted many attentions due to their widely applications, but the low stability is a big obstacle. Inspired by the lotus leaf, to endow the chromic coating with superhydrophobicity is a possible solution. In this research, a dual response coating was prepared by adding photochromic and thermochromic particles simultaneously. The prepared sample demonstrated at least four-state color switching, which can be successfully used in tactile imaging, multi-color fabric, erasable record, and security labels. The superhydrophobicity was achieved by introducing vinyl-terminated polydimethylsiloxane, which not only offers low surface energy but also can cross-link with the particles to increase the adhesion. Thus, the prepared sample maintained superhydrophobicity after various kinds of destruction (such as sandpaper abrasion, corrosive liquid attack, ultrasonic treatment, UV irradiation, and high-speed drops/turbulent jets impact). Even though the superhydrophobicity can be destroyed by plasma etching, it can be recovered after 12 h at room temperature.
A Novel Hybrid Methodology for Anomaly Detection in Time Series
Authors: Begic Fazlic Lejla , Halawa Ahmed , Schmeink Anke , Lipp Robert , Martin Lukas , Peine Arne , Morgen Marlies , Vollmer Thomas , Winter Stefan , Dartmann Guido 
Published: July 2022

AbstractNumerous research methods have been developed to detect anomalies in the areas of security and risk analysis. In healthcare, there are numerous use cases where anomaly detection is relevant. For example, early detection of sepsis is one such use case. Early treatment of sepsis is cost effective and reduces the number of hospital days of patients in the ICU. There is no single procedure that is sufficient for sepsis diagnosis, and combinations of approaches are needed. Detecting anomalies in patient time series data could help speed the development of some decisions. However, our algorithm must be viewed as complementary to other approaches based on laboratory values and physician judgments. The focus of this work is to develop a hybrid method for detecting anomalies that occur, for example, in multidimensional medical signals, sensor signals, or other time series in business and nature. The novelty of our approach lies in the extension and combination of existing approaches: Statistics, Self Organizing Maps and Linear Discriminant Analysis in a unique and unprecedented way with the goal of identifying different types of anomalies in real-time measurement data and defining the point where the anomaly occurs. The proposed algorithm not only has the full potential to detect anomalies, but also to find real points where an anomaly starts.
A Novel Approach Based on Power Aggregation Operator with the Hybrid-Indicator Information for Evaluating Regional Development Level of Rural Practical Talents
Authors: Liu Peide , Wang Fubin , Wang Peng 
Published: July 2022

AbstractThe development level evaluation of regional rural practical talents needs to comprehensively consider a variety of factors. The general development level of rural practical talents in different regions has little difference, but there are significant differences between different factors. This paper proposes a set of scientific indicators for evaluating rural practical talents, which can be used to understand the development status and level of rural practical talents in various regions and to further provide method support for the development level evaluation of rural practical talents in various regions of China. To avoid the overly subjective drawback of setting index weights in the Analytic Hierarchy Process (AHP), we set the indicator weights via the variation coefficient method and fuse the evaluation information based on an aggregation approach with a hybrid-indicator information power operator, which can lead to a more scientific and effective evaluation of the development level of rural practical talents. Finally, we apply the proposed approach to conducting the applied research on real cases, give relevant analysis and suggestions, and propose the training and introduction policies for the rural practical talents, to promote the development of rural revitalization and construction.
An Eye State Recognition System Using Transfer Learning: AlexNet-Based Deep Convolutional Neural Network
Authors: Kayadibi Ismail , Güraksın Gür Emre , Ergün Uçman , Özmen Süzme Nurgül 
Published: July 2022

AbstractFor eye state recognition (closed or open), a mechanism based on deep convolutional neural network (DCNN) using the Zhejiang University (ZJU) and Closed Eyes in the Wild (CEW) dataset, has been proposed in this paper. In instances where blinking is consequential, eye state recognition plays a critical part for the development of human–machine interaction (HMI) solutions. To accomplish this objective, pre-trained CNN architectures on ImageNet were first trained on the both dataset, which included both open and closed-eye states, and then they were tested, and their performance was quantified. The AlexNet design has proven to be more successful owing to these assessments. The ZJU and CEW datasets were leveraged to train the DCNN architecture, which was constructed employing AlexNet modifications for performance enhancement. On the both datasets, the suggested DCNN architecture was tested for performance. The achieved DCNN design was found to have 97.32% accuracy, 95.37% sensitivity, 97.97% specificity, 93.99% precision, 94.67% F1 score, and 99.37% AUC values in the ZJU dataset, while it was found to have 97.93% accuracy, 98.74% sensitivity, 97.15% specificity, 97.11% precision, 97.92% F1 score, and 99.69% AUC values in the CEW dataset. Accordingly, when compared to CNN architectures, it scored the maximum performance. At the same time, the DCNN architecture proposed on the ZJU and CEW datasets has been confirmed to be an acceptable and productive solution for eye state recognition depending on the outcomes compared to the studies in the literature. This method may contribute to the development of HMI systems by adding to the literature on eye state recognition.
Low socioeconomic status predicts vitamin D status in a cross-section of Irish children
Authors: Scully Helena , Laird Eamon , Healy Martin , Crowley Vivion , Walsh James Bernard , McCarroll Kevin 
Published: July 2022

AbstractVitamin D is essential for bone and muscle health with adequate status in childhood crucial for normal skeletal development. We aimed to investigate vitamin D status in a convenience sample (n= 1226) of Irish children (aged 1–17 years) who had serum 25-hydroxyvitamin D (25(OH)D) tested by request of their GP at a Dublin Hospital between 2014 and 2020. We examined predictors including age, sex, season and socioeconomic status (SES). Vitamin D deficiency (<30 nmol/l) was prevalent affecting 23 % and was more common in disadvantaged areas (34 %) and in those aged >12v. ≤12 years (24 %v. 16 %,P= 0⋅033). The greatest predictor was SES (disadvantagedv. affluent, OR 2⋅18, CI 1⋅34, 3⋅53,P= 0⋅002), followed by female sex (OR 1⋅57, CI 1⋅15, 2⋅14,P= 0⋅005) and winter season (October to February, OR 1⋅40, CI 1⋅07, 1⋅84,P= 0⋅015). A quarter of our sample of children were deficient, rising to one-third in those in disadvantaged areas. Females and those aged over 12 years had a higher prevalence of deficiency. Public health strategies to improve vitamin D status in Irish children, including systematic food fortification may need to be considered to address this issue.
A novel antennal form in trilobites
Authors: Edgecombe Gregory D. , Fortey Richard. A. 
Published: July 2022

AbstractKnown antennae of trilobites are all flagelliform, in marked contrast to the varied first antennae of marine pancrustaceans. An exceptionally preserved specimen of the Early Ordovician (late Tremadocian) asaphidAsaphellus tataensisVidal, 1998, from the Fezouata Shale in Morocco, exhibits both antennae in situ; they are relatively short, widen distally, and bear a series of round, dome-shaped organs along both their dorsal and ventral surfaces. These organs are vastly larger than chemo- or mechanosensory sensilla on the antennae of other arthropods, rendering their homology and function uncertain. The clavate antennae ofAsaphellusreveal the furthest deviation from the inferred ancestral state of the trilobite antenna known to date. This could be an adaptation for detection of prey, because most Asaphidae have been claimed as predators and scavengers on the basis of specialized features of the calcified exoskeleton.
REVISITING THE LEGALITY OF TRAVEL RESTRICTIONS UNDER INTERNATIONAL LAW DURING COVID-19
Authors: Forman Lisa , Habibi Roojin 
Published: July 2022

AbstractUnder the International Health Regulations (IHR), States must consider decision-making criteria in applying travel restrictions during a public health emergency of international concern. Interpretation on the legal parameters of such restrictions varies widely. This article considers whether and how the permissibility of travel restrictions under the IHR may have changed given recent developments, including evolving scientific evidence about their efficacy and shifting World Health Organization (WHO) advice. It is argued that such determinations must conform to the principles of necessity and proportionality as articulated by the IHR, and must also be accompanied by the correlative IHR duties of collaboration and assistance rooted substantively in global solidarity.
The Distribution of Voting Rights to Shareholders
Authors: Fos Vyacheslav , Holderness Clifford G. 
Published: July 2022

AbstractThis is the first comprehensive study of the distribution of voting rights to shareholders. Only individuals owning stock on a record date may vote. Firms, however, reveal record dates after the fact 91% of the time. With controversial votes, firms are more likely to do the opposite, and this tendency is associated with a lower passage rate for shareholder-initiated proposals. The New York Stock Exchange sells nonpublic record-date information to select investors. When stocks go ex vote, prices decline and trading volume surges, suggesting that activist investors are buying marginal votes. These trends are most pronounced with controversial votes.
Towards comprehensive digital evaluation of low-carbon machining process planning
Authors: Chen Zhaoming , Zou Jinsong , Wang Wei 
Published: July 2022

AbstractLow-carbon process planning is the basis for the implementation of low-carbon manufacturing technology. And it is of profound significance to improve process executability, reduce environmental pollution, decrease manufacturing cost, and improve product quality. In this paper, based on the perceptual data of parts machining process, considering the diversity of process planning schemes and factors affecting the green manufacturing, a multi-level evaluation criteria system is established from the aspects of processing time, manufacturing cost and processing quality, resource utilization, and environmental protection. An integrated evaluation method of low-carbon process planning schemes based on digital twins is constructed. Each index value is normalized by the polarized data processing method, its membership is determined by the fuzzy statistical method, and the combination weight of each index is determined by the hierarchical entropy weight method to realize the organic combination of theoretical analysis, practical experience, evaluation index, and process factors. The comprehensive evaluation of multi-process planning schemes is realized according to the improved fuzzy operation rules, and the best process planning solution is finally determined. Finally, taking the low-carbon process planning of an automobile part as an example, the feasibility and effectiveness of this method are verified by the evaluation of three alternative process planning schemes. The results show that the method adopted in this paper is more in line with the actual production and can provide enterprises with the optimal processing scheme with economic and environmental benefits, which may be helpful for more data-driven manufacturing process optimization in the future.
What if We Contain Multiple Morally Relevant Subjects?
Authors: Crummett Dustin 
Published: July 2022

AbstractFirst, I introduce the concept of a “non-agential subject,” where a non-agential subject (1) exists within an organism and (2) has phenomenally conscious experiences in a morally significant way, but (3) is not morally responsible for (some or all of) the organism's voluntary actions. Second, I argue that it's a live possibility that typical adult humans contain non-agential subjects. Finally, I argue that, if there are non-agential subjects, this has important and surprising implications for a variety of ethical issues. Accordingly, ethicists should pay more attention to whether there are non-agential subjects and what their implications for ethics would be.