bluuebunny/crossref_metadata_2025_split huggingface dataset:
sAuth: a hierarchical implicit authentication mechanism for service robots
Authors: Zhang Xiaomei , Zhang Pengming , Zeng Xin , Wang Yajie , Chi Chi-hung 
Published: April 2022

AbstractWith advances in networks, Artificial Intelligence (AI), and the Internet of Things, humanoid robots are rising in many areas, including elderly care, companion, education, and services in public sectors. Given their sensing and communication functionality, information leakage and unauthorized access will be of big concern. Very often, authentication techniques for service robots, especially those related to behavioral identification, have been developed, in which behavior models are created using raw data from sensors. However, behavioral-based authentication and re-authentication is still an open area for research, including cold start problems, accuracy, and uncertainty. This paper proposes a hierarchical implicit authentication system by joint built-in sensors and trust evaluation, coined sAuth, which exploits sensor data-based sliding window trust model to identify the service robot and its expected users. In order to mitigate the fluctuations of identification results in the real world environment, the trust evaluation is computed via combining the weighted intermediate identification probability of various small sliding windows. The performance of sAuth is evaluated under different scenarios where we show that (i) approximately 5–7% higher accuracy and 2–18% lower equal error rate can be achieved by our method compared to other works; and (ii) the hierarchical scheme with joint sensors and trust sliding windows improves the authentication accuracy significantly by comparing it with only sensor-based authentication.
Design, Development and Evaluation of the Citizen Science Cancer Curriculum (CSCC): a Design and Development Case Study
Authors: Valle Natercia , Brishke Janet , Shenkman Elizabeth , Ritzhaupt Albert D. 
Published: April 2022

AbstractThe purpose of this design and development case study is to provide an in-depth account of the needs analysis (through surveys and interviews), design, development and formative evaluation of the Citizen Science Cancer Curriculum (CSCC). The curriculum was developed as an online, self-paced educational program distributed as an Open Educational Resource using Creative Commons licensing. The instructional approach described in this design and development case study was informed by the Self-Determination Theory (SDT) framework. The case reflects a new frontier in the development of community stakeholder engagement models and describes how evidence-based instructional design practices and approaches (e.g., storytelling) can be used to support Citizen Scientists’ interests, learning and motivation to engage in cancer-related research. Results from quantitative and qualitative analyses indicate that the CSCC supported Citizen Scientists’ learning performance and motivation. More specifically, the use of storytelling as an instructional approach supported Citizen Scientists’ psychological needs, especially relatedness and competence, which translated into their behavioral intentions to contribute to cancer-related research. We share context-specific challenges and opportunities in working with Citizen Scientists as well as with cancer researchers and clinicians during the design and development of the curriculum.
Study on steel plate scratch detection based on improved MSR and phase consistency
Authors: Yang Luya , Huang Xinbo , Ren Yucheng , Zhang Yun 
Published: April 2022

AbstractIn the casting process of the steel plate, due to the influence of rolling equipment and technology, the defects such as cracks and scratches appear on the surface of steel plate, which affect the performance of steel plate and even cause production accidents. In this paper, an automatic detection method for steel plate scratch is proposed. Firstly, the steel plate image is decomposed by channel and the enhanced image is obtained by the improved MSR (Multi-Scale Retinex) enhancement algorithm. Then, the phase consistency is detected after the Log Gabor wavelet transform and the scratch areas are obtained by the threshold segmentation and intersection of three channels. Finally, the scratch position is identified and the scratch characteristics such as width and length can be calculated. The results show that the minimum error of the characteristics measurement is only 2.28% in the experimental environment and 4.15% in the field environment, and the mean running time is 0.2826 s in the experimental environment and 0.3193 s in the field environment. It verifies that the proposed method is effective and practical.
Chemical Immobilization of Carboxymethyl Chitosan on Polycaprolactone Nanofibers as Osteochondral Scaffolds
Authors: Kabirkoohian Anita , Bakhshi Hadi , Irani Shiva , Sharifi Fereshteh 
Published: April 2022

AbstractCarboxymethyl chitosan (CMC) as a bio-based osteochondral inductive material was chemically immobilized on the surface of polycaprolactone (PCL) nanofibers to fabricate scaffolds for osteochondral tissue engineering applications. The chemical immobilization process included the aminolysis of ester bonds and bonding of the primary amines with glutaraldehyde as a coupling agent. The SEM and FTIR results confirmed the successfulness of the CMC immobilization. The fabricated scaffolds presented cell viabilities of > 82% and supported the attachment and proliferation of the human bone marrow mesenchymal stem cells (hBM-MSCs). The CMC-immobilized scaffolds concentration dependently induced the diverse osteochondral differentiation pathways for the hBM-MSCs without using any external differential agents. According to the Alcian Blue and Alizarin Red staining and immunocytochemistry results, scaffolds with a higher content of CMC presented more chondro-inductivity and less osteoinductivity. Thus, the CMC-immobilized scaffolds can be employed as great potential candidates for osteochondral tissue engineering applications.
Minority stress and the inner critic/oppressive sociocultural schema mode among sexual and gender minorities
Authors: Cardoso Bruno Luiz Avelino , Paim Kelly , Catelan Ramiro Figueiredo , Liebross Ethan H. 
Published: April 2022

AbstractSeveral adverse psychological outcomes among sexual and gender minorities (SGM) are well documented in the literature. Notwithstanding the emergence of these data, SGM still receive little attention regarding psychological interventions, which include Schema Therapy (ST), an emerging integrative psychotherapy approach. Even though revisions have been proposed to expand ST’s understanding of emotional needs, schemas, domains, and schema modes, there is a gap in our understanding of SGM. Based on that, the main goal of this theoretical essay is to propose a specific ST intervention for SGM, addressing sociocultural aspects aiming at promoting a healthy functioning that can interpose oppression and internalized prejudice. To this end, we will present (a) the minority stress theoretical framework; (b) the ST model applying to SGM clients; and (c) a few strategies of ST intervention for SGM clients, highlighting the need for strengthening individuals’ healthy schema mode. It should be noted that, despite clinical work being relevant, there are social variables supporting and maintaining maladaptive structures. We hope the therapeutic interventions proposed promote dialogue on this subject and encouraging positive societal changes.
Radiofrequency Ablation of Incompetent Short Saphenous Vein: a Case Series
Authors: Elshafei Amr M. , Abdelgawad Mohamed S. , Saad Ehab M. , Fahmy Dalia Mounir , Khafagy Tamer Abdelhay 
Published: April 2022

Abstract
Short saphenous vein (SSV) incompetence proved to be an obstacle in chronic venous insufficiency (CVI) treatment in the endovascular era. In our study, we used to prove that radiofrequency ablation could be done safely with low incidence of side effects. In this prospective case series study, 34 patients suffered from leg varicosity (either primary or recurrent) attended to outpatient clinic and were referred for duplex scan to ensure SSV incompetency. SSV ablation was done using radiofrequency catheter. Operative findings were recorded, and patients were followed for up to 12 months post-surgical procedure to look for complications or recurrences. Successful obliteration of short saphenous vein was done in 52 legs with mean diameter 4.9 SD 1.0 mm and operative time 37.5 SD 13.7 min, the incidence of sural nerve paresthesia was 9%, and no reported cases with DVT. On 12-month follow-up, VCSS reduced significantly from 13 (IQR 12) to 3 (IQR 6) and AVVQ reduced significantly from 27.1 (IQR 18.8) to 5.6 (IQR 7.2); the rate of short saphenous vein obliteration was 98.1% at 6 months and 94.2% at 12 months. Radiofrequency ablation can be recommended for patients with incompetent SSV.
An assessment of bone tool cleaning procedures in preparation for traceological analysis
Authors: Mateo-Lomba Paula , Fernández-Marchena Juan Luis , Cazalla Irene , Valtierra Noé , Cáceres Isabel , Ollé Andreu 
Published: April 2022

Abstract
The preparation of samples for traceological analysis is a key methodological aspect in the correct interpretation of use-wear; however, it is often poorly reflected in the archaeological literature. The treatment of osseous tissues is particularly overlooked, and receives even less attention than lithic raw materials. The presence of residues and contaminants on the surface of artefacts can conceal or even be mistaken for use-wear features, thereby affecting their interpretation. Therefore, the objective of this work is to contribute to the systematization of cleaning protocols and the preparation of experimental bone tools for traceological analysis. Through a sequential experiment, we tested the effects of different cleaning agents on experimental samples. Microscopic observation of the samples was complemented with microhardness testing. Our results made it possible to evaluate the cleaning effectiveness of the tested products, to determine how each product affects the bone surface at a microscopic level, and to assess the effects of these products on the treated bone tools in terms of cutting performance.
Optimal experiment design for a bottom friction parameter estimation problem
Authors: Warder Simon C. , Piggott Matthew D. 
Published: April 2022

AbstractCalibration with respect to a bottom friction parameter is standard practice within numerical coastal ocean modelling. However, when this parameter is assumed to vary spatially, any calibration approach must address the issue of overfitting. In this work, we derive calibration problems in which the control parameters can be directly constrained by available observations, without overfitting. This is achieved by carefully selecting the ‘experiment design’, which in general encompasses both the observation strategy, and the choice of control parameters (i.e. the spatial variation of the friction field). In this work we focus on the latter, utilising existing observations available within our case study regions. We adapt a technique from the optimal experiment design (OED) literature, utilising model sensitivities computed via an adjoint-capable numerical shallow water model, Thetis. The OED method uses the model sensitivity to estimate the covariance of the estimated parameters corresponding to a given experiment design, without solving the corresponding parameter estimation problem. This facilitates the exploration of a large number of such experiment designs, to find the design producing the tightest parameter constraints. We take the Bristol Channel as a primary case study, using tide gauge data to estimate friction parameters corresponding to a piecewise-constant field. We first demonstrate that the OED framework produces reliable estimates of the parameter covariance, by comparison with results from a Bayesian inference algorithm. We subsequently demonstrate that solving an ‘optimal’ calibration problem leads to good model performance against both calibration and validation data, thus avoiding overfitting.
Understanding Student Characteristics in the Development of Active Learning Strategies
Authors: Mehta Seema , Schukow Casey P. , Takrani Amar , Ritchie Raquel P. , Wilkins Carol A. , Faner Martha A. 
Published: April 2022

AbstractStudent evaluations after non-lecture, active learning sessions at Michigan State University, College of Osteopathic Medicine, have yielded bipartite responses with one group responding favorably and the other group negatively. The purpose of this study was to understand the characteristics, motivation, and learning strategies of medical students that find value in, appreciate, and perceive active learning sessions to be beneficial and those of students that do not. We generated a survey, based on the Motivated Strategies for Learning Questionnaire (MSLQ), that included questions regarding overall student motivations for learning, learning strategies that students employed throughout medical school, and their perceptions of active learning. Following an active learning session on hyperammonemia, we administered the modified MSLQ survey. Using the results of this survey, we validated the modified MSLQ and identified correlations between student characteristics and their perception of the active learning session. We found that, in general, students with high task value, intrinsic goal orientation, self-efficacy for learning and performance, and control of learning beliefs felt more positively about their experience in the active learning session. Understanding the characteristics, motivations, and learning strategies that help students find value in active learning sessions will help medical educators develop future curricular material so that these exercises will better engage and be more effective with a greater number of learners.
A novel method to estimate incomplete PLTS information based on knowledge-match degree with reliability and its application in LSGDM problem
Authors: Xiao Huimin , Wu Shouwen , Wang Liu 
Published: April 2022

AbstractIn recent years, large-scale group decision making (LSGDM) has been researched in various fields. Probabilistic linguistic term set (PLTS) is an useful tool to describe evaluation information of experts when solving the LSGDM problem. As decision-making becomes more complex, in most cases, decision makers are unable to give complete evaluations over alternatives, which leads to the lack of evaluation information. To estimate missing information, this paper proposes a new method based on knowledge-match degree with reliability that knowledge-match degree means the matching level between evaluation values provided by individual and ones from group. The possession of reliability associated with evaluation information depends on fuzzy entropy of PLTS. Compared with previous methods, this approach can enhance accuracy and reliability of estimated values of missing evaluation information. Based on this method, we develop a complete decision process of LSGDM including information collection, subgroup detecting, consensus reaching process (CRP), information aggregation and ranking alternatives. Subsequently, a case about pharmaceutical manufacturer selection is used to illustrate the proposed decision method. To verify effectiveness and superiority, we make a comparative analysis with other methods and finally draw a conclusion.
Vertically Aligned Silicon Carbide Nanowires/Boron Nitride Cellulose Aerogel Networks Enhanced Thermal Conductivity and Electromagnetic Absorbing of Epoxy Composites
Authors: Pan Duo , Yang Gui , Abo-Dief Hala M. , Dong Jingwen , Su Fengmei , Liu Chuntai , Li Yifan , Bin Xu Ben , Murugadoss Vignesh , Naik Nithesh , El-Bahy Salah M. , El-Bahy Zeinhom M. , Huang Minan , Guo Zhanhu 
Published: April 2022

AbstractWith the innovation of microelectronics technology, the heat dissipation problem inside the device will face a severe test. In this work, cellulose aerogel (CA) with highly enhanced thermal conductivity (TC) in vertical planes was successfully obtained by constructing a vertically aligned silicon carbide nanowires (SiC NWs)/boron nitride (BN) network via the ice template-assisted strategy. The unique network structure of SiC NWs connected to BN ensures that the TC of the composite in the vertical direction reaches 2.21 W m−1 K−1 at a low hybrid filler loading of 16.69 wt%, which was increased by 890% compared to pure epoxy (EP). In addition, relying on unique porous network structure of CA, EP-based composite also showed higher TC than other comparative samples in the horizontal direction. Meanwhile, the composite exhibits good electrically insulating with a volume electrical resistivity about 2.35 × 1011 Ω cm and displays excellent electromagnetic wave absorption performance with a minimum reflection loss of − 21.5 dB and a wide effective absorption bandwidth (< − 10 dB) from 8.8 to 11.6 GHz. Therefore, this work provides a new strategy for manufacturing polymer-based composites with excellent multifunctional performances in microelectronic packaging applications.
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization
Authors: Balasubramaniam Thirunavukarasu , Warne David J. , Nayak Richi , Mengersen Kerrie 
Published: April 2022

AbstractThe world is witnessing the devastating effects of the COVID-19 pandemic. Each country responded to contain the spread of the virus in the early stages through diverse response measures. Interpreting these responses and their patterns globally is essential to inform future responses to COVID-19 variants and future pandemics. A stochastic epidemiological model (SEM) is a well-established mathematical tool that helps to analyse the spread of infectious diseases through communities and the effects of various response measures. However, interpreting the outcome of these models is complex and often requires manual effort. In this paper, we propose a novel method to provide the explainability of an epidemiological model. We represent the output of SEM as a tensor model. We then apply nonnegative tensor factorization (NTF) to identify patterns of global response behaviours of countries and cluster the countries based on these patterns. We interpret the patterns and clusters to understand the global response behaviour of countries in the early stages of the pandemic. Our experimental results demonstrate the advantage of clustering using NTF and provide useful insights into the characteristics of country clusters.
Longitudinal Impact of Social Restrictions on Sexual Health in the Italian Population
Authors: Vedovo Francesca , Capogrosso Paolo , Di Blas Lisa , Cai Tommaso , Arcaniolo Davide , Privitera Salvatore , Palumbo Fabrizio , Palmieri Alessandro , Trombetta Carlo 
Published: May 2022

ABSTRACTBackgroundSeveral trials have reported on the impact of social restrictions due to SARS-CoV-2 (COVID-19) pandemic on sexual function and psycho-physical well-being. However, data showing modifications of these outcomes over time and at the end of lock-down are scant.AimWe investigated the longitudinal changes in sexual function during social restrictions for COVID-19 pandemic in Italy.MethodsA web-based survey was administered to Italian citizens of legal age via social networks. The Beck Depression Inventory Primary Care, the General Health Survey, Female Sexual Function Index, International Index of Erectile Function, UCLA Loneliness Scale-version 3 questionnaires were used to test mental, physical and sexual well-being. The questionnaires were administered at the beginning of the lockdown (T0), 15 days from the first assessment (T1) and 1 month after the end of the restrictions in 2020 (T2).OutcomesDescriptive statistics and multiple regression analysis were applied to investigate changes in sexual function over and at the end of social restrictions.ResultsData were available for 2543 people (47.2% of men; 43.4% women; 9.4% undefined). Mean age was 48.3 ± 15.1 years for males and 43.9 ± 13.4 for females. Overall, 2.6% reported depressive symptoms according to Beck Depression Inventory Primary Care, 7.4% reported a high level of UCLA loneliness and 19.4% low levels of general mental health. Mild to severe erectile dysfunction was reported by 59.1% of men at T0, while 68.4% of women reported sexual dysfunction. Sexual function levels remain generally unchanged at further follow-up over the social restriction time period (T1), although those who were sexually active at baseline showed a decrease in sexual function scores. At T2, there was an overall improvement in sexual function scores with a rate of severe erectile dysfunction decreasing from 37.1% to 24.1% from T0 to T2 among males and a significant decrease of female sexual dysfunction from 68.4% to 51.2%.Clinical ImplicationsYoung individuals and those with good mental and physical health were more likely to improve sexual function at the end of social restrictions.Strengths & LimitationsValid and reliable questionnaires and longitudinal approach design represent strengths; a large but convenient sample and lack of pre-pandemic baseline data represent limits.ConclusionSocial restrictions due to COVID-19 pandemic led to an increase in sexual dysfunctions in both genders. However, these conditions appeared temporary since an overall improvement was observed at the end of lockdown and especially in younger individuals with higher psycho-physical well-being.
Kant and the Claims of the Empirical World
Authors: Geiger Ido 
Published: April 2022

Kant announces that the Critique of the Power of Judgment will bring his entire critical enterprise to an end. But it is by no means agreed upon that it in fact does so and, if it does, how. In this book, Ido Geiger argues that a principal concern of the third Critique is completing the account of the transcendental conditions of empirical experience and knowledge. This includes both Kant's analysis of natural beauty and his discussion of teleological judgments of organisms and of nature generally. Geiger's original reading of the third Critique shows that it forms a unified whole - and that it does in fact deliver the final part of Kant's transcendental undertaking. His book will be valuable to all who are interested in Kant's theory of the aesthetic and conceptual purposiveness of nature.
Moisture Sources and Climatic Controls of Precipitation Stable Isotopes Over the Tibetan Plateau in Water‐Tagging Simulations
Authors: Man Wenmin , Zhou Tianjun , Jiang Jie , Zuo Meng , Hu Jun 
Published: May 2022

AbstractUnderstanding the climate controls of precipitation δ18O in the Tibetan Plateau (TP) is crucial for paleoclimate reconstructions from a wealth of regional archives. We use the outputs of iCAM5 model to quantify the different moisture contribution to local precipitation δ18O and to understand the climate controls of precipitation δ18O in the TP based on water‐tagging. The model shows some deficiencies in simulating the spatial and temporal characteristics of precipitation δ18O and the local climatic controls across the TP. Among all the tagged source regions, South Asia and the Indian Ocean contribute the most to the precipitation δ18O in the monsoon‐controlled domain, followed by the East Asia source region. The westerlies are identified as major moisture sources to the precipitation δ18O in the westerlies‐controlled domain. South Asia and the Indian Ocean also contribute substantially for the westerlies‐controlled domain. On interannual time scales, summer precipitation δ18O in the monsoon‐controlled domain is dominated by rainout processes occurring along the moisture transport pathway, indicating that precipitation δ18O variations here potentially record changes in the regional upstream convection. The δ18O signal can be altered by changes in the moisture source location, which implies that enhanced moisture delivery from remote source regions leads to more negative precipitation δ18O due to an increase in the rainout effect during transport. Our results have implications for the interpretation of past variations of archives with precipitation stable isotopes, such as ice cores, tree rings, lake sediments, and speleothems in the TP and surrounding regions.