Miracle-dz/UniFAR-FTUs huggingface dataset:
A Bibliometric Analysis on Global Psychological and Behavioral Research Landscape on COVID-19 Pandemic

The COVID-19 pandemic outbreak in December 2019 has spread globally. The ongoing psychological and behavioral effects of the COVID-19 pandemic, which poses a major challenge to humanity, are of concern to researchers. To understand the academic community’s attention, focus and research collaboration on psychological and behavioral research during the COVID-19 pandemic, we conducted a macro analysis using a bibliometric approach. Using the topic selection strategy of TS = (“COVID-19” OR “coronavirus disease 2019” OR “SARS-CoV-2” OR “2019-nCoV”) AND TS = (“behavio*”) AND TS = (“psycholog*”), 2096 high-quality research articles and reviews were downloaded as data from the Web of Science core collection on 16 November 2021. Through analysis and visualization, the following conclusions are drawn in this study: (1) The popularity and importance of psychological and behavioral research under COVID-19 has increased significantly and needs further attention; (2). Related research focuses on eight hotspots, with quarantine, health care workers, the elderly, students, pregnant women, family, consumers, social media and emergency preparedness knowledge as the focus of the research object; and (3) Research collaboration is relatively high at the author, organizational and national levels. However, low-income countries need to get more attention. Furthermore, this article would help researchers make decisions for the research of psychological and behavioral issues under COVID-19 and planning for future prospects to contribute to academic development and applied methodology.
The Effects of Tobacco Coverage in the Public Communication Environment on Young People’s Decisions to Smoke Combustible Cigarettes

Abstract In today’s complex media environment, does media coverage influence youth and young adults’ (YYA) tobacco use and intentions? We conceptualize the “public communication environment” and effect mediators, then ask whether over time variation in exogenously measured tobacco media coverage from mass and social media sources predicts daily YYA cigarette smoking intentions measured in a rolling nationally representative phone survey (N = 11,847 on 1,147 days between May 2014 and June 2017). Past week anti-tobacco and pro-tobacco content from Twitter, newspapers, broadcast news, Associated Press, and web blogs made coherent scales (thetas = 0.77 and 0.79). Opportunities for exposure to anti-tobacco content in the past week predicted lower intentions to smoke (Odds ratio [OR] = 0.95, p < .05, 95% confidence interval [CI] = 0.91–1.00). The effect was stronger among current smokers than among nonsmokers (interaction OR = 0.88, p < .05, 95% CI = 0.77–1.00). These findings support specific effects of anti-tobacco media coverage and illustrate a productive general approach to conceptualizing and assessing effects in the complex media environment.
Big Data Analysis, from Cloud to Crowd

Big Data is characterized by its large volumes, the velocity at which it is created and its variety. These characteristics imply that the technology to analyze it must be appropriately equipped in order to process it effectively. The technologies connote a considerable investment in hardware and software for companies and contain the risk of investing in the wrong technology. Also data analysis is often only performed occasionally, for instance quarterly or at the end of the year and the procurement of data analysis equipment is not practicable for many organizations. Cloud based data analysis solutions have proven to be more economic in many situations, mitigating the risk of malinvestment, lowering the maintenance costs and, with its on-demand model, offer a more cost transparent software delivery model (Software as a Service) than an on premises solution.Recently there has been a new development towards a crowd-based data analysis paradigm. Crowd-based approaches can overcome some of the problems inherent in data mining by harnessing the wisdom of the crowd. Some data analysis tasks are still handled poorly by automated, computer-based solutions and human judgement often out-performs machine-based methods. A hybrid approach can mitigate some of the shortcomings of an approach using just a cloud- or a crowd-based solution.This paper describes the Big Data analysis paradigm shift from cloud-based to crowd-based solutions and explores the advantages of such an approach. The paper explores a hybrid, machine- and human-based approach using Entity Resolution as a sample Big Data analysis task.
Bandwidth and radiation specifications enhancement of monopole antennas loaded with split ring resonators

New broadband antennas loaded with split ring resonators (SRR) are proposed and investigated. The results illustrate that by loading the conventional monopole antennas with an asymmetrical meander lines SRR, a lower resonance frequency mode can be excited. The dimensions of the SRR have been selected to provide a resonance close the resonance of the monopole antennas. The results illustrate that when both resonance coincide the antennas bandwidths and radiation properties can be enhanced. The length and width of the antennas are 25 × 10 − 2 λ 0 × 11 × 10 − 2 λ 0 and 25 × 10 − 2 λ 0 × 21 × 10 − 2 λ 0 at 4 GHz for monopole antennas, and 29 × 10 − 2 λ 0 × 21 × 10 − 2 λ 0 at 2.9 GHz for both monopole antennas loaded with SRR. For antennas without SRR loading, maximum of measured gains and efficiencies are 3.6 dBi and 78.5% for F-antenna, and 3.9 dBi and 80.2% for T-antenna, hence they appear at 5 GHz. For antennas with SRR loading, these parameters are 4 dBi and 81.2% for F-antenna, and 4.4 dBi and ∼83% for T-antenna, which appeared at 6 GHz. By implementing the meander lines SRR as a matching load on the monopole antennas, the resulted antennas cover the measured frequency bandwidths of 2.9–6.41 GHz and 2.6–6.6 GHz (75.4 and ∼87% fractional bandwidths), which are ∼2.4 and 2.11 times more than monopole antennas with an approximately same in size.
Interpreting blood eosinophil counts in health and obstructive lung disease

Asthma and COPD are prevalent chronic diseases characterised by presence of respiratory symptoms and airflow limitation caused by ongoing inflammatory process in the airways [1, 2]. While the clinical features are reversible or variable over time in asthma [1], they are more persistent and usually progressive over time in COPD [2]. The connection between these two common disorders has been debated thoroughly for many decades with proponents for both “splitting” or “lumping” them into either two distinct or one common entity [3–6]. The clinical heterogeneity of both conditions has also been recognised for a long time, and the fact that some patients show characteristics of both diseases simultaneously resulted in the official introduction of the asthma–COPD overlap label by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) and Global Initiative for Asthma committees in 2014 [7]. Blood eosinophil count is a well-known measurement that is easy to implement both in hospital and GP settings as a useful biomarker for treatment response in certain types of COPD and asthma https://bit.ly/3sDzCPz
A Broadband Dual-Antenna Pair Based on Half-Open Cavity With Horizontally Polarized Radiation for Wi-Fi 6/6E Application

A broadband and omnidirectional coverage dual-antenna pair with horizontally polarized (HP) radiation for Wi-Fi 6/6E application is presented in this article. The dual-antenna pair is composed of two open cavity antennas (OCA) with the apertures partially sealed. By sealing the aperture partially, the dimension of the proposed half-OCA (HOCA) is reduced dramatically without changing the matching bandwidth and the radiation performance. Compared with other OCAs with the omnidirectional radiation, the proposed dual-antenna pair realizes omnidirectional coverage in azimuth plane by the back-to-back combination of two unidirectional OCAs, which also makes the antenna have multiple-input multiple-output (MIMO) performance. Besides, a broadband covering both 5 and 6 GHz bands of Wi-Fi 6/6E is also achieved. A prototype was fabricated and tested to validate the concept. In well agreement with the simulated results, the measured bandwidth with $S_{11} < -10$ dB for two ports are 5.03–7.35 GHz and 5.09–7.53 GHz, respectively, with the isolation higher than 22.67 dB. Besides, the measured gain > 5 dBi and ECC < 0.05 are achieved over the operating band. The proposed antenna shows great potential in the Wi-Fi 6/6E application.
The behaviour of piles undergoing a change in lateral loading direction

Pile foundations installed for offshore applications or in earthquake prone areas must be designed to withstand transient static and cyclic lateral loads that may occur in different lateral directions at different times. Research has chiefly been devoted to studying the behaviour of a pile subjected to one dimensional lateral loading and the influence of changing the lateral direction of this loading has not been widely considered. This paper presents the results from a series of centrifuge tests which involve multi-stage loading of a pile, considering changes in loading direction. The behaviour of a pile subjected to an unload-reload loop in a single direction is compared to that of a pile reloaded at 90° to the initial loading direction. When piles are reloaded at 90°, the set of rules that apply to one dimensional reloading become ineffective because an ‘effect of recent loading history’ governs the behaviour. In particular, local hysteresis loops are widened and the global instantaneous stiffness vari.
Using life cycle assessment for estimating environmental impacts and eco-costs from the metal waste in the construction industry

Purpose – The purpose of this paper is to investigate how to estimate the ecological costs form metal waste based on life cycle assessment (LCA) environmental impacts generated from the management of the construction waste. Design/methodology/approach – LCA methodology and eco-indicators 95 were used to calculate the impact from metal waste based on three waste management strategies. Findings – The results of this study establish that the ecological impact from metal waste management is mainly due to the burning of diesel from machinery during the dismantling processes and the use of vehicles for transportation. The results proposed equations and curves for estimating the ecological cost from metal waste based on waste management strategies. Research limitations/implications – The research could affect members of the engineering and construction industry, since it provides methods for costing the ecological impact from construction waste. The eco-costs will assist in implementing sustainable strategies th.
Development of HeadForms and an Anthropometric Sizing Analysis System for Head-Related Product Designs

The present study developed a sizing analysis system based on the Civilian American and European Surface Anthropometry Resource (CAESAR) database of North Americans (n = 2,299) for head-related product designs. To find representative heads from a huge amount of 3D human scan database, a sizing analysis system is required for efficient analysis of sizing systems based on anthropometric measurements. The head of the CAESAR 3D scan were manually edited to improve a quality for better use to the product design. Twenty one anthropometric landmarks were marked on the edited 3D heads to measure 40 anthropometric dimensions related to the head product designs. All head and face dimensions were automatically measured by applying a measurement system coded using Matlab. Fifteen representative headforms were generated in terms of 5 ethnic groups (composite group, Caucasians, American Africans, Asians, and Hispanics) and 3 gender groups (composite gender, males, and females). Finally, the sizing analysis system was developed based on the measurement of the CAESAR for analysis of head and facial measurements and generation of sizing systems.
The channel activities of the full-length prion and truncated proteins

Prion disease is a fatal neurodegenerative disorder, in which the cellular prion protein PrPC is converted to a misfolded prion which in turn is hypothesized to permeabilize cellular membranes. The pathways leading to toxicity in prion disease are not yet completely elucidated and whether it also includes formation of membrane pores remains to be answered. Prion protein consists of two domains: a globular domain (GD) and a flexible N-terminus (FT) domain. Although a proximal nine polybasic amino acid (FT(23-31)) sequence of FT is a prerequisite for cellular membrane permeabilization, other functional domain regions may influence FT(23-31) and its permeabilization. By using single-channel electrical recordings, we reveal that FT(23-50) dominates the membrane permeabilization within the full-length mouse PrP (mPrP(23-230)). The other domain of FT(51-110) or C-terminal domain down-regulates the channel activity of FT(23-50) and the full-length mouse PrP (mPrP(23-230)). The addition of prion mimetic antibody, POM1 significantly enhances mPrP(23-230) membrane permeabilization, whereas POM1-Y104A, a POM1 mutant that binds to PrP but cannot elicit toxicity has negligible effect on membrane permeabilization. Additionally, anti-N-terminal antibody POM2 or Cu2+ stabilizes FT domain, thus provoking FT(23-110) channel activity. Furthermore, our setup provides a more direct method without an external fused protein to study the channel activity of truncated PrP in the lipid membranes. We therefore hypothesize that the primary N-terminal residues are essential for membranes permeabilization and other functional segments play a vital role to modulate the pathological effects of PrP-medicated neurotoxicity. This may yield essential insights into molecular mechanisms of prion neurotoxicity to cellular membranes in prion disease.
How Steel Mills Transform into Smart Mills: Digital Changes and Development Determinants in the Polish Steel Industry

Purpose: The research question is how do steel mills transform to smart mills. This is the purpose of this paper. Approach/Methodology/Design: Dynamic technological development forces enterprises to introduce changes in production. Enterprises expect digital production to enable them to optimize production more than ever before. The changes concern especially the adaptation and integration of digital technologies. The article is about key areas and determinants of change in the steel industry in Poland on the way of steel mills to digital technologies. The article is a compilation of theory and practice. On the basis of statistical information, data on key areas of change in the steel industry in Poland was presented in the paper. Findings: At the current stage of transformation of the steel industry in Poland to Industry 4.0, steel mills are investing in technologies to process data in real time and acquire IT systems along with computer services to compile solutions (installations), combining steel production technologies with IT applications. Steel production technologies are entwined with IC systems with access to IoT, Big Data and Cloud Computing solutions. Compact OT (operation tech) and IT (informatics) structures are emerging, which in the future will create a cyber-physical steel production system (CPSPS: Cyber-Physical Steel Production System). Practical Implications: The analysis and evaluation carried out in the article shows that a key factor affecting the development of this sector is the way to Industry 4.0. Presented analysis in the paper can be used by companies in the steel sector to build a development strategy towards Industry 4.0. Originality/Value: The topic of the article is very important because it focuses on changes and determinats in the Polish steel Industry unnder the conditions of the Fourth Industrial Revolution.
RDNet: Deep Learning Model for Predicting pH H20 and pHKCl from Soil Vis-NIR Spectra

Soil properties are vital to profiling and utilizing soil resources. Conventional approaches to measurements of soil properties often involve costly, environmental-unfriendly, and time-consuming laboratory procedures. Conversely, machine learning (ML) and deep learning (DL) are gaining traction in giving rapid, non-destructive, and cost-saving alternatives to predictions of soil properties. These ML/DL models are convenient and fast because they utilize spectral data, such as visible and near-infrared (Vis-NIR) spectra, that can be easily collected using proximal sensors for their training and prediction purposes. However, existing ML/DL approaches to this problem pose several limitations, such as having small sample sizes, needing to divide the sample data into local areas to increase accuracy, and having relatively low accuracy. Therefore, this work experiments various ML/DL methods that leverage Vis-NIR spectra collected from a rather large number of soil samples distributed all over the world to predict $p{H_{{H_2}O}}$ and pHKCl. We then propose a DL method, called RDNet, that outperforms the other existing approaches. We also utilize visualizations to verify if the proposed model learns legitimate information from the training data.
Effect of final irrigating solutions on penetration depth of resin-based sealers into dentinal tubules

Background: The goal of root canal therapy depends on chemomechanical debridement and three-dimensional filling of the root canal system. [1] Aim: The aim of this study is to assess the effect of NaOCl + Ethylenediaminetetraacetic acid (EDTA) and Twin Kleen as a final irrigating solution on the depth of penetration of AH Plus and Perma Evolution sealers into the dentinal tubules. Materials and Methods: Forty mandibular premolars were decoronated and instrumented up to size 30. Moreover, randomly assigned into two groups based on final rinse Group A (n = 20): 5.25% NaOCl + 17% EDTA. Group B (n = 20): Twin Kleen solution. Resin sealers were labeled with few grains of fluorescent rhodamine B dye and subdivided into two subgroups, Subgroup A1and B1 (n1 = 10): AH Plus; Subgroup A2 and B2 (n2 = 10): Perma Evolution and obturated. Confocal laser scanning microscopy was used to examine the sections taken 2, 5, and 8 mm from the apex. Images were exported to Image J software to determine the sealer penetration depth. Statistical Analysis: Independent t-test and one-way analysis of variance followed by Tukey's HSD post hoc test. Results: Maximum depth of sealer penetration was seen in Twin Kleen in all sections. Perma Evolution showed highest sealer penetration at the middle and apical third region of root canal for both groups. Conclusions: Final irrigation with Twin Kleen produced highest sealer penetration than with EDTA.
Hemodynamic Structure around Flow Model Simulated Renal Arterial Branch

The arterial branch from abdominal aorta to renal artery is one of the predilection sites of atherosclerosis. In the present study, we have experimentally studied the velocity profile and the wall shear stress at laminar steady flow in a flow model simulated the renal arterial branch where the side branch asymmetrically bifurcates from the trunk at right angle with a round upstream corner. The wall shear stress is estimated from the velocity gradient on the basis of the velocity. The flow situation from the abdominal aorta to the renal artery is characterized by the distribution of wall shear stress around the entrance of side branch. The wall shear stress along the upstream corner of side branch varies with large amplitude of several times more than the wall shear stress of the Poiseuille flow in the upstream trunk. The large gradient of wall shear stress along the upstream corner is closely associated with the initiation of atherosclerosis.
Wofür übernehmen Unternehmungen Verantwortung? Und wie kommunizieren sie ihre Verantwortungsübernahme?

In this paper, which is grounded in new institutional theory, we present the results of an empirical study of the internet communication of three German Blue Chip firms on the questions for what firms assume responsibility and how they communicate it. We interpret our results comprehensively and draw conclusions regarding the concept of firms in general and in business administration and economics in particular.
A population‐based study of acute panmyelosis with myelofibrosis in the United States: 2004–2015

Singapore Yong Loo Lin School of Medicine, National University of Singapore, Singapore Health and Social Sciences, Singapore Institute of Technology, Singapore Department of Laboratory Medicine, Tan Tock Seng Hospital, Singapore Clinical Research and Innovation Office, Tan Tock Seng Hospital, Singapore Department of Neurology, National Neuroscience Institute, Singapore Department of Cardiac, Thoracic and Vascular Surgery, National University Heart Centre, Singapore Department of Haematology, Tan Tock Seng Hospital, Singapore Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore
Exogenous capture accounts for fundamental differences between prosaccade and antisaccade performance

Oculomotor circuits generate eye movements based on the physical salience of objects and current behavioral goals, exogenous and endogenous influences, respectively. However, the interactions between exogenous and endogenous mechanisms and their dynamic contributions to target selection have been difficult to resolve because they evolve extremely rapidly. In a recent study (Salinas et al., 2019), we achieved the necessary temporal precision using an urgent variant of the antisaccade task wherein motor plans are initiated early and choice accuracy depends sharply on when exactly the visual cue information becomes available. Empirical and modeling results indicated that the exogenous signal arrives ∼80 ms after cue onset and rapidly accelerates the (incorrect) plan toward the cue, whereas the informed endogenous signal arrives ∼25 ms later to favor the (correct) plan away from the cue. Here, we scrutinize a key mechanistic hypothesis about this dynamic, that the exogenous and endogenous signals act at different times and independently of each other. We test quantitative model predictions by comparing the performance of human participants instructed to look toward a visual cue versus away from it under high urgency. We find that, indeed, the exogenous response is largely impervious to task instructions; it simply flips its sign relative to the correct choice, and this largely explains the drastic differences in psychometric performance between the two tasks. Thus, saccadic choices are strongly dictated by the alignment between salience and behavioral goals.
Subtype H3N2 Influenza A Viruses: An Unmet Challenge in the Western Pacific

Subtype H3N2 influenza A viruses (A(H3N2)) have been the dominant strain in some countries in the Western Pacific region since the 2009 influenza A(H1N1) pandemic. Vaccination is the most effective way to prevent influenza; however, low vaccine effectiveness has been reported in some influenza seasons, especially for A(H3N2). Antigenic mismatch introduced by egg-adaptation during vaccine production between the vaccine and circulating viral stains is one of the reasons for low vaccine effectiveness. Here we review the extent of this phenomenon, the underlying molecular mechanisms and discuss recent strategies to ameliorate this, including new vaccine platforms that may provide better protection and should be considered to reduce the impact of A(H3N2) in the Western Pacific region.