bluuebunny/crossref_metadata_2025 huggingface dataset:
A Method to Evaluate Spectral Analysis by Spectroscopy
Authors: Liu Yan , Fan Pingping , Qiu Huimin , Li Xueying , Hou Guangli
Published: July 2022

Visible and near infrared spectroscopy has been widely used to develop a method for rapidly determining organic carbon in soils or sediments (SOC). Most of these studies concentrated on how to establish a good spectral model but ignored how to evaluate the method, such as the use of detection range (max and min), resolution and error for SOC spectral analysis. Here, we proposed a method to evaluate the spectral analysis of SOC. Using 96 sediments sampled in the Yellow Sea and Bohai Sea, China, we established three spectral models of SOC after collecting their spectral reflectance by Agilent Cary 5000, ASD FieldSpec 4 and Ocean Optics QEPro, respectively. For both the calibration set and validation set in each spectrometer, the predicted SOC concentrations followed a distribution curve (function), in which the x-axis was the SOC concentrations. Using these curves, we developed these four technical parameters. The detection ranges were the SOC concentrations where the curve was near to or crossing with the lateral axis, while the detection resolution was the average difference between the two neighboring SOC concentrations. The detection errors were the differences between the predicted SOC and the measured SOC. Results showed that these technical parameters were better in the bench-top spectrometer (Cary 5000) than those in the portable spectrometers when analyzing the same samples. For the portable spectrometers, QEPro had a broader detection range and more consistent detection error than FieldSpec 4, suggesting that the low-cost QEPro performed as well as the high-cost FieldSpec 4. This study provides a good example for evaluating spectral analysis by spectroscopy, which can support the development of the spectral method.
Discrete Missing Data Imputation Using Multilayer Perceptron and Momentum Gradient Descent
Authors: Pan Hu , Ye Zhiwei , He Qiyi , Yan Chunyan , Yuan Jianyu , Lai Xudong , Su Jun , Li Ruihan
Published: July 2022

Data are a strategic resource for industrial production, and an efficient data-mining process will increase productivity. However, there exist many missing values in data collected in real life due to various problems. Because the missing data may reduce productivity, missing value imputation is an important research topic in data mining. At present, most studies mainly focus on imputation methods for continuous missing data, while a few concentrate on discrete missing data. In this paper, a discrete missing value imputation method based on a multilayer perceptron (MLP) is proposed, which employs a momentum gradient descent algorithm, and some prefilling strategies are utilized to improve the convergence speed of the MLP. To verify the effectiveness of the method, experiments are conducted to compare the classification accuracy with eight common imputation methods, such as the mode, random, hot-deck, KNN, autoencoder, and MLP, under different missing mechanisms and missing proportions. Experimental results verify that the improved MLP model (IMLP) can effectively impute discrete missing values in most situations under three missing patterns.
Sensors Energy Optimization for Renewable Energy-Based WBANs on Sporadic Elder Movements
Authors: Rajawat Anand Singh , Goyal S. B. , Bedi Pardeep , Verma Chaman , Safirescu Calin Ovidiu , Mihaltan Traian Candin
Published: July 2022

The world is advancing to a new era where a new concept is emerging that deals with “wirelessness”. As we know, renewable energy is the future, and this research studied the integration of both fields that results in a futuristic, powerful, and advanced model of wireless body area networks. Every new emerging technology does have some cons; in this case the issue would be the usage of excess energy by the sensors of the model. Our research is focused on solving this excessive usage of energy to promote the optimization of energy. This research work is aimed to design a power-saving protocol (PSP) for wireless body area networks (WBANs) in electronic health monitoring (EHM). Our proposed power-saving protocol (PSP) supports the early detection of suspicious signs or sporadic elder movements. The protocol focuses on solving the excessive energy consumption by the body attached to IoT devices to maximize the power efficiency (EE) of WBAN. In a WSNs network, the number of sensor nodes (SNs) interact with an aggregator and are equipped with energy harvesting capabilities. The energy optimization for the wireless sensor networks is a vital step and the methodology is completely based on renewable energy resources. Our proposed power-saving protocol is based on AI and DNN architectures with a hidden Markov model to obtain the top and bottom limits of the SN sources and a less computationally challenging suboptimal elucidation. The research also addressed many critical technical problems, such as sensor node hardware configuration and energy conservation. The study performed the simulation using the OMNET++ environment and represent through results the source rate to power critical SNs improves WBAN’s scheme performance in terms of power efficiency of Sporadic Elder Movements (SEM) during various daily operations.
Adjustments in Shoulder and Back Kinematics during Repetitive Palletizing Tasks
Authors: Lamooki Saeb R. , Cavuoto Lora A. , Kang Jiyeon
Published: July 2022

Repetitive task performance is a leading cause of musculoskeletal injuries among order-picking workers in warehouses. The repetition of lifting tasks increases the risk of back and shoulder injuries among these workers. While lifting in this industry is composed of loaded and unloaded picking and placing, the existing literature does not address the separate analysis of the biomechanics of the back and shoulder for these events. To that end, we investigated the kinematics of the back and shoulder movements of nine healthy male participants who performed three sessions of a simulated de/palletization task. Their back and shoulder kinematics were sensed using an optical motion capture system to determine the back inclination and shoulder flexion. Comparison of the kinematics between the first and last sessions indicated statistically significant changes in the timings, angles, coordination between the back and shoulder, and moments around the shoulder (p<0.05). The majority of the significant changes were observed during the loaded events, which confirms the importance of the separation of these events for biomechanical analysis. This finding suggests that focusing worker evaluation on the loaded periods can provide important information to detect kinematic changes that may affect musculoskeletal injury risk.
Four-Line C2*/CH* Optical Sensor for Chemiluminescence Based Imaging of Flame Stoichiometry
Authors: Tonarely Michael E. , Genova Tommy , Morales Anthony J. , Micka Daniel , Knaus Darin , Ahmed Kareem A.
Published: July 2022

In the present work, an optical sensor was developed and calibrated for the purpose of non-intrusive equivalence ratio measurements in combustion systems. The sensor incorporates a unique four-line, single-sensor chemiluminescence imaging-based approach, which relies on the ratio of C2* and CH* radical-species intensities to obtain measurements of equivalence ratios. The advantage of the four-line sensor is the use of additional filtering to mitigate broadband luminescence signals, and its improvements over conventional two-line chemiluminescence diagnostics are discussed. The sensor was calibrated using a premixed bluff-body jet burner with a propane–air flame operating over a wide range of equivalence ratios. The results showed that the four-line processing technique improved the signal-to-noise ratio of the chemiluminescence images for all test cases. Calibrations of C2*/CH* intensity ratio to equivalence ratio were developed for both the four-line and two-line techniques. The calibrations were then used to create maps of local equivalence ratios in the flame-holding region. The maps revealed a non-uniform field of equivalence ratios due to the nature of the radical-species intensity profiles within the flame. Therefore, special consideration is required for calibration in order to accurately quantify equivalence ratios and apply these to diffusion flames.
Graph-Based Motion Artifacts Detection Method from Head Computed Tomography Images
Authors: Liu Yiwen , Wen Tao , Sun Wei , Liu Zhenyu , Song Xiaoying , He Xuan , Zhang Shuo , Wu Zhenning
Published: July 2022

Computed tomography (CT) images play an important role due to effectiveness and accessibility, however, motion artifacts may obscure or simulate pathology and dramatically degrade the diagnosis accuracy. In recent years, convolutional neural networks (CNNs) have achieved state-of-the-art performance in medical imaging due to the powerful learning ability with the help of the advanced hardware technology. Unfortunately, CNNs have significant overhead on memory usage and computational resources and are labeled ‘black-box’ by scholars for their complex underlying structures. To this end, an interpretable graph-based method has been proposed for motion artifacts detection from head CT images in this paper. From a topological perspective, the artifacts detection problem has been reformulated as a complex network classification problem based on the network topological characteristics of the corresponding complex networks. A motion artifacts detection method based on complex networks (MADM-CN) has been proposed. Firstly, the graph of each CT image is constructed based on the theory of complex networks. Secondly, slice-to-slice relationship has been explored by multiple graph construction. In addition, network topological characteristics are investigated locally and globally, consistent topological characteristics including average degree, average clustering coefficient have been utilized for classification. The experimental results have demonstrated that the proposed MADM-CN has achieved better performance over conventional machine learning and deep learning methods on a real CT dataset, reaching up to 98% of the accuracy and 97% of the sensitivity.
PVformer: Pedestrian and Vehicle Detection Algorithm Based on Swin Transformer in Rainy Scenes
Authors: Sun Zaiming , Liu Chang’an , Qu Hongquan , Xie Guangda
Published: July 2022

Pedestrian and vehicle detection plays a key role in the safe driving of autonomous vehicles. Although transformer-based object detection algorithms have made great progress, the accuracy of detection in rainy scenarios is still challenging. Based on the Swin Transformer, this paper proposes an end-to-end pedestrian and vehicle detection algorithm (PVformer) with deraining module, which improves the image quality and detection accuracy in rainy scenes. Based on Transformer blocks, a four-branch feature mapping model was introduced to achieve deraining from a single image, thereby mitigating the influence of rain streak occlusion on the detector performance. According to the trouble of small object detection only by visual transformer, we designed a local enhancement perception block based on CNN and Transformer. In addition, the deraining module and the detection module were combined to train the PVformer model through transfer learning. The experimental results show that the algorithm performed well on rainy days and significantly improved the accuracy of pedestrian and vehicle detection.
A Designed Twist Sensor Based on the SPR Effect in the Thin-Gold-Film-Coated Helical Microstructured Optical Fibers
Authors: Zhang Mengwei , Zhang Lei , Chen Qiang , Bai Ge , Li Shuguang
Published: July 2022

The traditional optical fiber-based twist sensing has the disadvantage of low sensitivity and difficulty of distinguishing the twist direction. Moreover, chiral isomerism may lead to sensing errors. In this paper, a six-hole helical microstructured optical fiber (HMSF) with a thin-gold-film-coat based on the surface plasmon resonance (SPR) effect was designed. The twist sensing characteristics of this fiber were further analyzed. Numerical calculation and analysis show that the combination of helical effect and SPR effect can design an HMSF-based sensor that is very sensitive to distortion. In the torsion range of ±300°, the distortion sensitivity can reach 2470.7 pm/(rad/m), and the linear correlation coefficient is 0.99996. Based on the special sensing mechanism, it has a good linear coefficient over a large range. Additionally, the direction of the twist can be easily discerned. The HMSF in this work not only has high sensitivity, high linearity, high fault tolerance rate, and a wide range of measurement, but is also easy to manufacture. Therefore, it is promising in the field of twist sensing and has a good application prospect.
Ambivalence in Child Protection Proceedings: Parents’ Views on Their Interactions with Child Protection Authorities
Authors: Schoch Aline , Aeby Gaëlle
Published: July 2022

Child protection is a field characterized by intrinsic tensions and ambivalence, related to the state’s intervention in the family sphere and to a double mandate of care and control. This article focuses on the participation of parents in statutory child protection proceedings and the ambivalence they experience in their interactions with the Child and Adult Protection Authority in Switzerland (CAPA). The aim is to explore parents’ views on what they consider as hindering or enabling in their interactions with the CAPA in order to be able to fully participate in child protection proceedings. The article is based on a large interdisciplinary research project including multi-perspective cases collected in four cantons of Switzerland and puts the focus on in-depth interviews with ten birth parents. Results show that ambivalence is inherent to the interactions between parents and the CAPA, as the mere opening of child protection proceedings is experienced as a threat to the parents’ integrity. Establishing trust, recognizing parents’ expertise and acknowledging their needs are key to re-establishing parental integrity, which seems to be a fundamental pre-requisite for reducing ambivalence and enhancing participation in child protection proceedings.
The Invisible Suffering of Young People during the COVID-19 Pandemic in Spain and the Collateral Impact of Social Harm
Authors: Cordero Verdugo Raquel Rebeca , Silva Esquinas Antonio , Pérez Suárez Jorge Ramiro
Published: July 2022

This article seeks to demonstrate how the lack of institutional involvement with young people during the pandemic had negative effects, stemming from a lack of clear and precise rules for the adolescent population. The consequences manifested themselves in such important areas as social relations, physical and mental health, affective–sexual relations, self-image and overexposure to social media. We present the results of two complementary pieces of research that provided us with insight into the behaviour of young people during lockdown. The young people were divided into two groups based on age: (1) middle adolescents aged 13 to 18 and (2) late adolescents aged 18 to 23. We adopted an integrative methodological approach based on surveys, digital ethnography and focus groups to extract the results, which produced the following findings: (1) an increase in social inequalities due to the technology gap; (2) a growth in mental health risks stemming from hyperconnectivity and overexposure to social media in order to avoid social isolation; and (3) an assimilation of anti-normative behaviours as valid in the absence of any points of reference.
Promoting Environmental Justice and Sustainability in Social Work Practice in Rural Community: A Systematic Review
Authors: Wu Haorui , Greig Meredith , Bryan Catherine
Published: July 2022

Social work’s response to global climate change has dramatically increased over the last several years. Similarly, growing attention has been paid to rural social work; less clear, however, is how social work, responsive to global climate change, is developed, deployed, and understood in rural contexts; this systematic review elaborates on current social work contributions (research, practice, and policymaking), promoting environmental justice and sustainability in rural communities. Utilizing the preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach, this article thematically analyzed and synthesized 174 journal articles on social work-specific interventions and environmental justice. The results illustrate insights into the experiences, practices, or objectives of rural social workers vis-à-vis climate change. Significant themes from the literature demonstrated that gender, age, and race limited access to social work services and climate-related disaster response support in rural settings; this article argues that rural community-driven social work practices focused on environmental justice and sustainability should be encouraged and that policy advocacy attentive to climate change and its impact on vulnerable and marginalized groups should be pursued. Current and prospective social work scholars, practitioners, policymakers, and other stakeholders should collaborate with local rural communities to address their unique needs related to climate change. In turn, grassroots strategies should be co-developed to promote climate change adaptation and disaster risk reduction, ultimately achieving the goal of building resilient, healthy, and sustainable rural communities.
Cell Adhesion Strength Indicates the Antithrombogenicity of Poly(2-methoxyethyl acrylate) (PMEA): Potential Candidate for Artificial Small-Diameter Blood Vessel
Authors: Haque Md Azizul , Murakami Daiki , Tanaka Masaru
Published: July 2022

Poly(2-methoxyethyl acrylate) (PMEA) is a US FDA-approved biocompatible polymer, although there is insufficient work on human umbilical vein endothelial cells (HUVECs) and platelet interaction analysis on PMEA-analogous polymers. In this study, we extensively investigated HUVEC–polymer and platelet–polymer interaction behavior by measuring the adhesion strength using single-cell force spectroscopy. Furthermore, the hydration layer of the polymer interface was observed using frequency-modulation atomic force microscopy. We found that endothelial cells can attach and spread on the PMEA surface with strong adhesion strength compared to other analogous polymers. We found that the hydration layers on the PMEA-analogous polymers were closely related to their weak platelet adhesion behavior. Based on our results, it can be concluded that PMEA is a promising candidate for the construction of artificial small-diameter blood vessels owing to the presence of IW and a hydration layer on the interface.
A Study on Fractional Diffusion—Wave Equation with a Reaction
Authors: Abuomar Mohammed M. A. , Syam Muhammed I. , Azmi Amirah
Published: July 2022

An analytical method for solving the fractional diffusion–wave equation with a reaction is investigated. This approach is based on the Laplace transform and fractional series method. An analytical derivation for the proposed method is presented. Examples are given to illustrate the efficiency of the method. The obtained solutions are very close to the exact solutions. Based on this study, we think that the obtained method is promising, and we hope that it can be implemented to other physical problems.
Construction of Permutation Polynomials Using Additive and Multiplicative Characters
Authors: Jarali Varsha , Poojary Prasanna , Bhatta Vadiraja G. R.
Published: July 2022

Permutation is a natural phenomenon useful for understanding and explaining the structural and functional behavior of objects or concepts. The mathematical formulation of permutation behavior can be readily achieved by permutation polynomials. Permutation polynomials are constructed by suitably modifying linearized polynomials and associated affine polynomials with the help of additive characters, multiplicative characters, and special types of Trace functions for the polynomials in one and more than one indeterminates. The permutation properties of the obtained polynomials are verified using the AGW criterion.
Correction: Ferrari, A.; Rompotis, N. Exploration of Extended Higgs Sectors with Run-2 Proton–Proton Collision Data at the LHC. Symmetry 2021, 13, 2144
Authors: Ferrari Arnaud , Rompotis Nikolaos
Published: July 2022

With respect to the original review article [1], the corrected couplings of the Higgs doublets Φ1 and Φ2 in the 2HDM type-I, type-II, lepton-specific and flipped scenarios are shown in Table 1 [...]
Machine Learning Models for the Prediction of Energy Consumption Based on Cooling and Heating Loads in Internet-of-Things-Based Smart Buildings
Authors: Ghasemkhani Bita , Yilmaz Reyat , Birant Derya , Kut Recep Alp
Published: July 2022

In this article, the consumption of energy in Internet-of-things-based smart buildings is investigated. The main goal of this work is to predict cooling and heating loads as the parameters that impact the amount of energy consumption in smart buildings, some of which have the property of symmetry. For this purpose, it proposes novel machine learning models that were built by using the tri-layered neural network (TNN) and maximum relevance minimum redundancy (MRMR) algorithms. Each feature related to buildings was investigated in terms of skewness to determine whether their distributions are symmetric or asymmetric. The best features were determined as the essential parameters for energy consumption. The results of this study show that the properties of relative compactness and glazing area have the most impact on energy consumption in the buildings, while orientation and glazing area distribution are less correlated with the output variables. In addition, the best mean absolute error (MAE) was calculated as 0.28993 for heating load (kWh/m2) prediction and 0.53527 for cooling load (kWh/m2) prediction, respectively. The experimental results showed that our method outperformed the state-of-the-art methods on the same dataset.
Using Cylindrical and Spherical Symmetries in Numerical Simulations of Quasi-Infinite Mechanical Systems
Authors: Filippov Alexander E. , Popov Valentin L.
Published: July 2022

The application of cylindrical and spherical symmetries for numerical studies of many-body problems is presented. It is shown that periodic boundary conditions corresponding to formally cylindrical symmetry allow for reducing the problem of a huge number of interacting particles, minimizing the effect of boundary conditions, and obtaining reasonably correct results from a practical point of view. A physically realizable cylindrical configuration is also studied. The advantages and disadvantages of symmetric realizations are discussed. Finally, spherical symmetry, which naturally realizes a three-dimensional system without boundaries on its two-dimensional surface, is studied. As an example, tectonic dynamics are considered, and interesting patterns resembling real ones are found. It is stressed that perturbations of the axis of planet rotation may be responsible for the formation of such patterns.
A Hybrid Group Decision Approach Based on MARCOS and Regret Theory for Pharmaceutical Enterprises Assessment under a Single-Valued Neutrosophic Scenario
Authors: Rong Yuan , Niu Wenyao , Garg Harish , Liu Yi , Yu Liying
Published: July 2022

Evaluating pharmaceutical enterprises with sustainable and high-quality development ability (SHQDA) can not only provide strategies for the pharmaceutical management department in formulating enterprise development plans, but also provide suggestions and guidance for enterprises to enhance their core competitiveness. Nevertheless, the prior research possesses several deficiencies in coping with the assessment of enterprises with SHQDA under uncertain environments to predict the psychological behavior of the evaluator and the correlation among the evaluation criteria. To conquer the aforementioned defects, we propose an integrated framework for rating pharmaceutical enterprises that incorporates regret theory, measurement alternatives and ranking based on the compromise solution (MARCOS) and Heronian mean operating within a single-value neutrosophic set (SVNS) environment. First, the single-valued neutrosophic number (SVNN) is employed to portray the assessment information of experts. Then, a novel single-valued neutrosophic score function is presented to enhance the rationality of the SVNN comparison. Next, a combined criteria weight model is constructed by synthesizing the best and worst method (BWM) and criteria importance through intercriteria correlation (CRITIC) approach to attain more reasonable and credible weight information. Furthermore, the integrated assessment framework combining regret theory-MARCOS method and Heronian mean operator is put forward to assess and select the enterprises with SHQDA under a single-valued neutrosophic setting. Ultimately, an empirical concerning the pharmaceutical enterprises assessment is presented within SVNS to illustrate the usefulness and effectiveness of the presented SVNS regret theory-MARCOS method. Thereafter, the sensitivity analysis and comparison analysis are implemented to provide evidence for the rationality and superiority of the proposed method.
Depletion of Heavy Ion Abundances in Slow Solar Wind and Its Association with Quiet Sun Regions
Authors: Zhao Liang , Landi Enrico , Lepri Susan T. , Carpenter Daniel
Published: July 2022

The exact coronal origin of the slow-speed solar wind has been under debate for decades in the Heliophysics community. Besides the solar wind speed, the heavy ion composition, including the elemental abundances and charge state ratios, are widely used as diagnostic tool to investigate the coronal origins of the slow wind. In this study, we recognize a subset of slow speed solar wind that is located on the upper boundary of the data distribution in the O7+/O6+ versus C6+/C5+ plot (O-C plot). In addition, in this wind the elemental abundances relative to protons, such as N/P, O/P, Ne/P, Mg/P, Si/P, S/P, Fe/P, He/P, and C/P are systemically depleted. We compare these winds (“upper depleted wind” or UDW hereafter) with the slow winds that are located in the main stream of the O-C plot and possess comparable Carbon abundance range as the depletion wind (“normal-depletion-wind”, or NDW hereafter). We find that the proton density in the UDW is about 27.5% lower than in the NDW. Charge state ratios of O7+/O6+, O7+/O, and O8+/O are decreased by 64.4%, 54.5%, and 52.1%, respectively. The occurrence rate of these UDW is anti-correlated with solar cycle. By tracing the wind along PFSS field lines back to the Sun, we find that the coronal origins of the UDW are more likely associated with quiet Sun regions, while the NDW are mainly associated with active regions and HCS-streamer.
On the Degeneracy between fσ8 Tension and Its Gaussian Process Forecasting
Authors: Reyes Mauricio , Escamilla-Rivera Celia
Published: July 2022

In this Article, we reconstruct the growth and evolution of the cosmic structure of the Universe using Markov chain Monte Carlo algorithms for Gaussian processes. We estimate the difference between the reconstructions that are calculated through a maximization of the kernel hyperparameters and those that are obtained with a complete exploration of the parameter space. We find that the difference between these two approaches is of the order of 1%. Furthermore, we compare our results with those obtained by Planck Collaboration 2018 assuming a ΛCDM model and we do not find a statistically significant difference in the redshift range where the reconstructions of fσ8 have been made.
Thermodynamics of Hot Neutron Stars and Universal Relations
Authors: Laskos-Patkos Pavlos , Koliogiannis Polychronis S. , Kanakis-Pegios Alkiviadis , Moustakidis Charalampos C.
Published: July 2022

Over the last few years, the detection of gravitational waves from binary neutron star systems has rekindled our hopes for a deeper understanding of the unknown nature of ultradense matter. In particular, gravitational wave constraints on the tidal deformability of a neutron star can be translated into constraints on several neutron star properties using a set of universal relations. Apart from binary neutron star mergers, supernova explosions are also important candidates for the detection of multimessenger signals. Such observations may allow us to impose significant constraints on the binding energy of neutron stars. The purpose of the present study is twofold. Firstly, we investigate the agreement of finite temperature equations of state with established universal relations. Secondly, we examine the possible existence of a universal relation between the binding energy and the dimensionless tidal deformability, which are the bulk properties connected to the most promising sources for multimessenger signals. We find that hot equations of state are not always compatible with accepted universal relations. Therefore, the use of such expressions for probing general relativity or imposing constraints on the structure of neutron stars would be inconclusive (when thermal effects are present). Additionally, we show that the binding energy and the dimensionless tidal deformability exhibit a universal trend at least for moderate neutron star masses. The latter allows us to set bounds on the binding energy of a 1.4 M⊙ neutron star using data from the GW170817 event. Finally, we provide a relation between the compactness, the binding energy and the dimensionless tidal deformability of a neutron star that is accurate for cold and hot isentropic equations of state.
Asymmetry in Galaxy Spin Directions—Analysis of Data from DES and Comparison to Four Other Sky Surveys
Authors: Shamir Lior
Published: July 2022

The paper shows an analysis of the large-scale distribution of galaxy spin directions of 739,286 galaxies imaged by DES. The distribution of the spin directions of the galaxies exhibits a large-scale dipole axis. Comparison of the location of the dipole axis to a similar analysis with data from SDSS, Pan-STARRS, and DESI Legacy Survey shows that all sky surveys exhibit dipole axes within 52° or less from each other, well within 1σ error, while non-random distribution is unexpected, the findings are consistent across all sky surveys, regardless of the telescope or whether the data were annotated manually or automatically. Possible errors that can lead to the observation are discussed. The paper also discusses previous studies showing opposite conclusions and analyzes the decisions that led to these results. Although the observation is provocative, and further research will be required, the existing evidence justifies considering the contention that galaxy spin directions as observed from Earth are not necessarily randomly distributed. Possible explanations can be related to mature cosmological theories, but also to the internal structure of galaxies.
A Large Cluster of New Onset Autoimmune Myositis in the Yorkshire Region Following SARS-CoV-2 Vaccination
Authors: De Marco Gabriele , Giryes Sami , Williams Katie , Alcorn Nicola , Slade Maria , Fitton John , Nizam Sharmin , Smithson Gayle , Iqbal Khizer , Tran Gui , Pekarska Katrina , Keen Mansoor Ul Haq , Solaiman Mohammad , Middleton Edward , Wood Samuel , Buss Rihards , Devine Kirsty , Marzo-Ortega Helena , Green Mike , McGonagle Dennis
Published: July 2022

Background: The novel SARS-CoV-2 vaccines partially exploit intrinsic DNA or RNA adjuvanticity, with dysregulation in the metabolism of both these nucleic acids independently linked to triggering experimental autoimmune diseases, including lupus and myositis. Methods: Herein, we present 15 new onset autoimmune myositis temporally associated with SARS-CoV-2 RNA or DNA-based vaccines that occurred between February 2021 and April 2022. Musculoskeletal, pulmonary, cutaneous and cardiac manifestations, laboratory and imaging data were collected. Results: In total, 15 cases of new onset myositis (11 polymyositis/necrotizing/overlap myositis; 4 dermatomyositis) were identified in the Yorkshire region of approximately 5.6 million people, between February 2021 and April 2022 (10 females/5 men; mean age was 66.1 years; range 37–83). New onset disease occurred after first vaccination (5 cases), second vaccination (7 cases) or after the third dose (3 cases), which was often a different vaccine. Of the cases, 6 had systemic complications including skin (3 cases), lung (3 cases), heart (2 cases) and 10/15 had myositis associated autoantibodies. All but 1 case had good therapy responses. Adverse event following immunization (AEFI) could not be explained based on the underlying disease/co-morbidities. Conclusion: Compared with our usual regional Rheumatology clinical experience, a surprisingly large number of new onset myositis cases presented during the period of observation. Given that antigen release inevitably follows muscle injury and given the role of nucleic acid adjuvanticity in autoimmunity and muscle disease, further longitudinal studies are required to explore potential links between novel coronavirus vaccines and myositis in comparison with more traditional vaccine methods.
Attitudes toward COVID-19 Vaccination on Social Media: A Cross-Platform Analysis
Authors: Wawrzuta Dominik , Klejdysz Justyna , Jaworski Mariusz , Gotlib Joanna , Panczyk Mariusz
Published: July 2022

During the COVID-19 pandemic, social media content analysis allowed for tracking attitudes toward newly introduced vaccines. However, current evidence is limited to single social media platforms. Our objective was to compare arguments used by anti-vaxxers in the context of COVID-19 vaccines across Facebook, Twitter, Instagram, and TikTok. We obtained the data set of 53,671 comments regarding COVID-19 vaccination published between August 2021 and February 2022. After that, we established categories of anti-vaccine content, manually classified comments, and compared the frequency of occurrence of the categories between social media platforms. We found that anti-vaxxers on social media use 14 categories of arguments against COVID-19 vaccines. The frequency of these categories varies across different social media platforms. The anti-vaxxers’ activity on Facebook and Twitter is similar, focusing mainly on distrust of government and allegations regarding vaccination safety and effectiveness. Anti-vaxxers on TikTok mainly focus on personal freedom, while Instagram users encouraging vaccination often face criticism suggesting that vaccination is a private matter that should not be shared. Due to the differences in vaccine sentiment among users of different social media platforms, future research and educational campaigns should consider these distinctions, focusing more on the platforms popular among adolescents (i.e., Instagram and TikTok).
Assessment of Different Infectious Bovine Rhinotracheitis Marker Vaccines in Calves
Authors: Petrini Stefano , Martucciello Alessandra , Righi Cecilia , Cappelli Giovanna , Torresi Claudia , Grassi Carlo , Scoccia Eleonora , Costantino Giulia , Casciari Cristina , Sabato Roberto , Giammarioli Monica , De Carlo Esterina , Feliziani Francesco
Published: July 2022

Three commercially available infectious bovine rhinotracheitis (IBR) live marker vaccines were evaluated for their ability to provide clinical protection to vaccinated calves against wild-type (wt) Bovine alphaherpesvirus-1 (BoHV-1) challenge and their possible effect on wt BoHV-1 latency reactivation following the challenge. On 35 post-vaccination days (PVDs), all animals were challenged with wt BoHV-1. Only the calves in the control group developed severe forms of IBR. The reactivation of latent BoHV-1 was induced by dexamethasone (DMS) treatment on 28 post-challenge days (PCDs). All animals showed IBR clinical signs on three post-DMS treatment days (PDTDs). On PVD 14, all vaccinated animals developed neutralizing antibodies (NAs), whereas in control animals, the NAs appeared post-challenge. The positivity for glycoprotein-B (gB) was detected using real-time polymerase chain reactions in all animals from PCDs 1 to 7. In contrast, the gB-positivity was observed in the immunized calves from PDTDs 3 to 10. Positive expression of gD and gE was observed in nasal swabs of all calves on PDTD 7. These findings suggested that the IBR marker vaccines evaluated in this study protected against wt BoHV-1-induced disease but not against wt BoHV-1-induced latency reactivation, indicating the necessity of developing new products to protect animals from wt BoHV-1-induced latency.
Sphingolipidomics of Bovine Pink Eye: A Pilot Study
Authors: Wood Paul L. , Miller Lynda M. J.
Published: July 2022

Sphingolipids are essential structural components of tear film that protect the surface of the eye from dehydration. A detailed analysis of the effects of pink eye infections on the sphingolipidome in cattle has not previously been undertaken. We recently published a new assay utilizing high-resolution mass spectrometric monitoring of the chloride adducts of sphingolipids that provides enhanced sensitivity and specificity. Utilizing this assay, we monitored decreases in the levels of tear film ceramides with short-chain fatty acids, hydroxy-ceramides, phytoceramides, and hydroxy-phytoceramides. Dihydroceramide levels were unaltered and increased levels of ceramides with long-chain fatty acids (24:0 and 24:1) were monitored in cattle with pink eye. The data from this pilot study (n = 8 controls and 8 pink eye) demonstrate a major disruption of the lipid tear film layer in pink eye disease, that can result in severe eye irritation and damage.
Effects of Saccharomyces boulardii Supplementation on Nutritional Status, Fecal Parameters, Microbiota, and Mycobiota in Breeding Adult Dogs
Authors: Meineri Giorgia , Martello Elisa , Atuahene David , Miretti Silvia , Stefanon Bruno , Sandri Misa , Biasato Ilaria , Corvaglia Maria Rita , Ferrocino Ilario , Cocolin Luca Simone
Published: July 2022

The aim of this study was to evaluate the effect of the administration of Saccharomyces boulardii on the nutritional, immunological, inflammatory, and stress status and on the composition of the gut microbiota and mycobiota in healthy adult dogs. A total of 25 American Staffordshire Terrier dogs were selected and randomly assigned to two groups: control (CTR, n = 12) and treated (TRT, n = 13) groups. No significant differences were found between the two groups regarding body weight, body condition score, and fecal score. No significant differences in microbiota/mycobiota, short chain fatty acids, indole/skatole, histamine, zonulin, or lactoferrin were detected. Indeed, supplementation with S. boulardii significantly decreased fecal calprotectin Immunoglobulin A, indicating an improvement in the gut well-being. Interestingly, fecal cortisol significantly decreased in dogs belonging to the TRT group compared to the CTR, suggesting both an improvement of the intestinal status and a reduction of stress, a common condition affecting animals managed in a breeding environment.
Thermal Analysis of Coupled Resonant Coils for an Electric Vehicle Wireless Charging System
Authors: Wen Chunming , Xu Qing , Chen Minbo , Xiao Zhanpeng , Wen Jie , Luo Yunyun , Zhao Xiaohui , Liang Yuanxiong , Liang Kairong
Published: July 2022

Electric vehicles use wireless energy transmission to obtain energy, which can effectively avoid the shortcomings of traditional methods. As the carrier of radio energy transmission and reception, the high temperature of the coil triggers the degradation of wireless transmission performance and the aging of the coil, which may cause fire and other safety problems in serious cases. This paper studied the temperature distribution of the magnetically coupled coil model for electric vehicles. Based on the study of the basic law of heat transfer, the coil model was established using ANSYS software, and the boundary conditions and relevant parameters were set. After many simulation experiments and comparisons, it was finally determined that the transmitting coil and the receiving coil were the same sizes, the inner diameter of the coil was 100 mm, the outer diameter of the coil was 181 mm, and the coupling distance between the transmitting coil and the receiving coil was set to 60 mm. Coil models were simulated and analyzed using different materials. The simulation results show that after 30 min of system operation, the material chosen from the temperature range may have been gold, silver, copper, or aluminum, but from the comprehensive consideration of cost and performance, the material of the coil in the model was finally set to copper. Copper was the best material; its temperature maximum was 74.952 °C and lower than the safety value of 80 °C. It is hoped that this study will provide a reference for wireless charging coil design.
The Role of Temperament in Mediating the Association between Adolescence Dating Violence and Early Traumatic Experiences
Authors: Monteiro Inês , Ramião Eduarda , Figueiredo Patrícia , Barroso Ricardo
Published: July 2022

Violence in adolescent intimate relationships poses a real threat to adolescent well-being and is a risk factor for recurrent violent patterns in adult marital relationships. The present study aimed to understand the relationship between different dimensions of childhood trauma and dating violence perpetration and the mediating role of temperament. The sample was composed of 3497 adolescents (n = 1549 boys, n = 1948 girls; M = 1.56, SD = 0.497) aged between 10 and 22 years (M = 15.15, SD = 1.83). Instruments used in this study included the Social Desirability Scale, the Childhood Trauma Questionnaire (CTQ), and the Early Adolescent Temperament Questionnaire (EATQ). The results show that temperament plays a mediating role in the relationship between dating violence perpetration and emotional, physical, and sexual abuse. Furthermore, the results suggest that adolescents who have been abused in childhood tend to demonstrate more temperamental problems and a greater susceptibility to the perpetration of teen dating violence, but only in the more severe dimensions of childhood trauma.
Alternativa radiofónica: una propuesta para garantizar el acceso a la educación en tiempos de pandemia
Authors: Moreno-Guaicha Jefferson Alexander , Mena Zamora Alexis Alberto
Published: August 2022

Las problemáticas originadas a raíz de la pandemia han incidido notablemente en la educación, especialmente en cuanto a la calidad y el acceso igualitario para los sectores más vulnerables. La investigación analizó las experiencias de escuelas radiofónicas en Ecuador y su potencial para garantizar el acceso a la educación en sectores que enfrentan limitaciones de conexión a internet en tiempos de pandemia. Se trata de una investigación cualitativa que recopila datos de entrevistas aplicadas a especialistas en el tema y miembros de comunidades indígenas. Entre los resultados se destaca la relación significativa entre dificultades de acceso a la educación virtual y las condiciones históricas de injusticia. Se concluye que la alternativa radiofónica constituye una opción práctica para responder a las dificultades de acceso a la educación virtual; sin embargo, se reconoce que no es ni la única alternativa, ni la mejor puesto que implica subsanar superficialmente deficiencias del sistema.
Os jogos didáticos na Educação Ambiental: uma revisão de literatura em periódicos e eventos nacionais
Authors: Ribeiro Job Antonio Garcia , Amorim Laisa Pereira
Published: August 2022

Os jogos didáticos (JDs) são recursos que contribuem para o processo de ensino e aprendizagem, pois favorecem o desenvolvimento da imaginação, do raciocínio e da atenção. Este artigo traz o estado da arte dos trabalhos sobre JDs na Educação Ambiental, buscando traçar um panorama em relação à natureza, às características gerais e aos aspectos pedagógicos das produções acadêmicas brasileiras. Foram selecionados trabalhos em anais/atas de eventos nacionais de Educação Ambiental e em periódicos das áreas de Educação e Ensino (Qualis A1 a C, quadriênio 2013-2016). Identificou-se 21 produções, sendo a maioria trabalhos que relatavam/apresentavam resultados de pesquisa direcionadas ao Ensino Fundamental, na área de Ecologia e que fizeram uso de jogos de tabuleiro.
Attachment of human periodontal ligament fibroblasts to root dentin conditioned with different endodontic irrigants: An experimental study
Authors: Khoshbin Elham , Najafi Rezvan , Farhadian Maryam , Khalili Maryam
Published: August 2022

Background. Periradicular surgery is the last treatment option for teeth with persistent periradicular endodontic lesions. This study aimed to assess the adhesion of fibroblasts to root dentin conditioned with ethylenediaminetetraacetic acid (EDTA), MTAD, and QMix. Methods. Twelve dentin discs were fabricated of 6 human single-rooted teeth. Fibroblasts were isolated from the periodontal ligament (PDL) of a premolar tooth. The teeth were healthy and freshly extracted from the socket. The samples were divided into four groups for surface conditioning with (I) EDTA, (II) MTAD, (III) QMix, and the control group. Fibroblasts were cultured on conditioned dentin discs at 37°C, 95% air, and 5% CO2 for 4 hours and then rinsed with PBS three times to eliminate unattached cells from the surface. The mean counts of attached cells were calculated using a Neubauer chamber. Also, the attachment of fibroblasts was evaluated using scanning electron microscopy (SEM). Results. The mean counts of fibroblasts attached to root dentin in EDTA, QMix, MTAD, and control groups were 303±46, 243±41, 213±33, and 347±38, respectively. No significant difference was noted in the number of fibroblasts attached between MTAD, EDTA, and QMix and the control group (P>0.05). Under SEM, the fibroblasts were flat and spindle-shaped, with cytoplasmic processes covering the untreated dentin surface. In the experimental groups, the cells were rounder with fewer processes. All the three groups showed weaker adhesion to dentin compared to the control (untreated dentin) group. Conclusion. Under the limitations of this study, it was concluded that treating the dentin surface with EDTA, MTAD, or QMIX might not be an effective way to improve the adhesion of human PDL fibroblasts.
Effect of Qmix 2in1, chlorhexidine gluconate, and ethylenediaminetetraacetic acid on postoperative pain after root canal treatment: A double-blind randomized clinical trial
Authors: İnce Yusufoğlu Selen , Olcay Keziban
Published: August 2022

Background. This study aimed to investigate the effects of different final irrigation solutions on postoperative pain following root canal treatment. Methods. Eighty-nine nonvital premolar and molar teeth with periapical lesions (PAI: 3‒4) without any clinical symptoms were included. The patients were randomly assigned to three groups according to the final irrigation solutions used: G1: 2 mL of Qmix (n=29), G2: 2 mL of 17% ethylenediaminetetraacetic acid (EDTA) (n=30), and G3: 2 mL of 2% chlorhexidine gluconate (CHX) (n=30). All the patients were prescribed 100 mg of flurbiprofen to use as needed for pain. The patients were asked to rate their pain status according to the verbal rating scale at 12, 24, 48, and 72 hours, and one week. The data were analyzed using Pearson’s chi-squared test, Fisher’s exact test, and chi-squared analysis with Monte Carlo simulation. The significance level was set at P≤0.05. Results. No significant differences were observed in postoperative pain rates at 12, 48, and 72 hours and one week (P>0.05). However, in the Qmix group, a significantly lower pain level was observed at 24 hours with EDTA and CHX (P=0.019). The rate of mild pain in the EDTA group at 72 hours (18.8%) was significantly higher in premolar teeth than in molar teeth (P=0.012). The moderate pain level in the EDTA group at 12 hours was significantly higher in those>60 years of age (P=0.008). Conclusion. The use of Qmix as an irrigation solution resulted in lower postoperative pain levels at 24 hours compared to other solutions. Therefore, Qmix can be considered a proper final irrigation solution in endodontic treatment regarding postoperative pain.