bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using Humor to Promote Social Distancing on Tiktok During the COVID-19 Pandemic
Authors: Xiao Yi , Yu Shubin 
Published: June 2022

BackgroundDuring the COVID-19 pandemic, many humorous videos on how to practice social distancing appeared on social media. However, the effect of using humor as a crisis communication strategy to persuade people to conform to social distancing rules is not known.ObjectiveDrawing on the literature on humorous message framing and crisis communication, this research explores the effectiveness of a humorous message in communicating social distancing rules in two crisis severity phases (low vs. high severity) and also evaluates how humor affects individuals’ online and offline engagement intentions during the COVID-19 pandemic.MethodsA 2 (message framing: humorous vs. non-humorous) x 2 (crisis severity phase: low vs. high) between-subjects design experiment was conducted to test the research questions during the first weeks of the COVID-19 pandemic in China from January 30 to February 2, 2020.ResultsThe results showed that the severity of the phase of a health crisis can significantly affect stakeholders’ online and offline responses toward the disease. More specifically, in a low severity phase, humor led to increased source likability for the message, and more online and offline engagement intentions. However, no differences between a humorous and non-humorous message in perceived risk were observed. Whereas, in a high severity crisis phase, humor reduced individuals’ offline engagement intentions and a decrease in perceived risk, no significant difference was found between a humorous and non-humorous message on source likeability.ConclusionHumor can motivate both more online engagement and offline protective action intention when the crisis severity phase is low, while when crisis severity soars, a non-humorous message should be more desirable. More specifically, using humor in communicating information about an infectious disease can enhance the spokesperson’s likeability in a low severity phase, and also helps to spread health information to a larger audience. While, the negative side of using humor in communicating an infectious disease appears in severe crisis phases, as it then decreased the public’s perception of risk, and triggers less protective actions. Going beyond previous research, this study recognized that crisis severity changes in different phases of the spread of infectious disease, thereby providing actionable strategy selections for crisis practitioners in a dynamic communication environment.
E-Commerce Brand Ranking Algorithm Based on User Evaluation and Sentiment Analysis
Authors: Chen Nie 
Published: June 2022

ObjectiveConsumers often need to compare the same type of products from different merchants to determine their purchasing needs. Fully mining the product information on the website and applying it to e-commerce websites or product introduction websites can not only allow consumers to buy products that are more in line with their wishes, but also help merchants understand user needs and the advantages of each product. How to quantify the emotional tendency of evaluation information and how to recommend satisfactory products to consumers is the research purpose of this paper.MethodAccording to the analysis of the research object, this paper uses the Python crawler library to efficiently crawl the data required for research. By writing a custom program for crawling, the resulting data is more in line with the actual situation. This paper uses the BeautifulSoup library in Python web crawler technology for data acquisition. Then, in order to ensure high-quality data sets, the acquired data needs to be cleaned and deduplicated. Finally, preprocessing such as sentence segmentation, word segmentation, and semantic analysis is performed on the cleaned data, and the data format required by the subsequent model is output. For weightless network, the concept of node similarity is proposed, which is used to measure the degree of mutual influence between nodes. Combined with the LeaderRank algorithm, and fully considering the differences between nodes in the interaction, the SRank algorithm is proposed. Different from the classical node importance ranking method, the SRank algorithm fully considers the local and global characteristics of nodes, which is more in line with the actual network.Results/DiscussionThis paper calculates the sentiment polarity of users’ comments, obtains the final user influence ranking, and identifies opinion leaders. The final ranking results were compared and analyzed with the traditional PageRank algorithm and SRank ranking algorithm, and it was found that the opinion leaders identified by the opinion leader identification model integrating user activity and comment sentiment were more reasonable and objective. The algorithm in this paper improves the efficiency of operation to a certain extent, and at the same time solves the problem that sentiment analysis cannot be effectively used in social network analysis, and increases the accuracy of e-commerce brand ranking.
Prevalence and Determinants of Generalized Anxiety Disorder Symptoms in Residents of Fort McMurray 12 Months Following the 2020 Flooding
Authors: Owusu Ernest , Shalaby Reham , Eboreime Ejemai , Nkire Nnamdi , Lawal Mobolaji A. , Agyapong Belinda , Pazderka Hannah , Obuobi-Donkor Gloria , Adu Medard K. , Mao Wanying , Oluwasina Folajinmi , Agyapong Vincent I. O. 
Published: June 2022

BackgroundThe flood in Fort McMurray (FMM) which occurred between April 26 and May 2, 2020, is known to have displaced an estimated population of 1,500 people, and destroyed or damaged about 1,230 buildings. In all, it is estimated to have caused about $228 million in losses.ObjectiveThis study aims to identify the prevalence and determinants of likely Generalized Anxiety disorder (GAD) in among respondents 12-months after the 2020 flooding.MethodsData for the study were collected through a cross-sectional survey sent through REDCap and hosted online from the 24th of April to the 2nd of June 2021. The self-administered questionnaire was emailed to respondents using community, government, school, and occupational platforms. Demographic, flooding-related variables, and clinical data were collected. A validated instrument, the GAD-7 was used to collect information on likely GAD. Consent was implied by completing the survey forms, and the University of Alberta Health Research Ethics Committee approved the study.ResultsOf the 249 residents surveyed, 74.7% (186) respondents completed the online survey, 81.6% (80) were above 40 years, 71% (132) were in a relationship, 85.5% (159) were females, and 94.1% (175) were employed. The prevalence of likely GAD was 42.5% in our study. Predictors of likely GAD among respondents included positive employment status (OR = 30.70; 95% C.I. 2.183–423.093), prior diagnosis of depression (OR = 3.30; 95% C.I. 1.157–9.43), and the perceived need to have mental health counseling (OR = 6.28; 95% C.I. 2.553–15.45).ConclusionThis study showed that there was an increased magnitude of moderate to high anxiety symptoms among respondents following the natural disaster particularly the flood in 2020. The predictors of likely GAD include positive employment status, history of depression diagnosis, and the need to have mental health counseling. Policymakers may mitigate the rise of anxiety after flooding in vulnerable areas by addressing these and other factors.
Level of Adequate Knowledge of Non-communicable Diseases and Associated Factors Among Adult Residents of North Shewa Zone, Oromia Region, Ethiopia: A Mixed-Method Approach
Authors: Legesse Elsabeth , Nigussie Tadesse , Girma Derara , Geleta Leta Adugna , Dejene Hiwot , Deriba Berhanu Senbeta , Geleta Tinsae Abeya , Sahlu Degemu , Tesema Mengistu , Tilahun Ayele , Awol Mukemil , Teshome Firanbon , Midaksa Gachana , Bati Feyiso 
Published: June 2022

BackgroundNon-communicable diseases (NCDs) are currently the leading cause of morbidity and mortality, posing significant challenges to global healthcare systems. Particularly, the prevalence of NCDs is rising in Ethiopia, resulting in a triple burden of diseases on the health system that disproportionately affects all age groups. Hence, this study aims to determine the level of adequate knowledge of NCDs and associated factors among adult residents of the North Shewa zone, Oromia region, Ethiopia.MethodsA community-based cross-sectional study with a concurrent mixed-method approach was conducted from April 1, 2021 to May 30, 2021 among 846 residents using the multistage sampling technique. Interviewer administered questionnaire was used to collect quantitative data and a guiding checklist was used to collect qualitative data. Bivariable and multivariable logistic regressions were fitted to compute the association between explanatory variables and knowledge of NCDs. Adjusted odds ratios at 95% confidence interval with a p-value &lt; 0.05 were used to decree statistical significance in multivariable analysis. Also, a thematic framework analysis was used for qualitative data analysis.ResultsA total of 823 subjects have participated in this study making a response rate of 97.3%. The level of adequate knowledge was 33.9% (95%CI: 30.67, 37.13). Higher-income, receiving information from health professionals, owning a TV, having a family member with NCD(s), and marital status were factors significantly associated with adequate knowledge of NCDs.ConclusionThis study reveals a high level of inadequate knowledge of NCDs despite its foundational ability in tackling the burden of NCDs. As a result, broadening a wider and more comprehensive health promotion strategy for the prevention of triple burden of NCDs would benefit the population. Additionally, special efforts are needed both at the practice and policy levels targeting the disadvantaged groups, such as low-income people, those who do not receive information from health professionals, those who do not own a television, and those who are widowed/divorced, who were found to have less knowledge of NCDs.
Understanding Illicit Drug Use Trends During the Carnival Holiday in the Brazilian Capital Through Wastewater Analysis
Authors: Sodré Fernando Fabriz , Freire Diogo de Jesus Soares , Alcântara Daniel Barbosa , Maldaner Adriano Otávio 
Published: June 2022

Cocaine and cannabis consumption during and after the 2019 Carnival holiday were assessed using the wastewater-based epidemiology (WBE) in the capital of Brazil, Brasília. The substances 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (THC-COOH), cocaine (COC), benzoylecgonine (BE), and cocaethylene (COE) were monitored in composite samples (24 h) collected in the entrance of North-Wing (NW) and South-Wing (SW) wastewater treatment plants (WWTP) for 15 consecutive days, including the Carnival holiday. Aliquots (100 ml) were enriched with isotope-labeled standards, solid-phase extracted and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Results reveal higher cocaine consumption during the Carnival (average of 2.8 ± 0.7 g/1000inh/day) compared to the subsequent period (average of 1.7 ± 0.3 g/1000inh/day). Cannabis (THC) use was also higher during the holiday (14 ± 5 g/1000inh/day) but differences were not significative (unpaired t-test, 95%) compared to the following days (11 ± 3 g/1000inh/day), where consumption remained relatively constant corroborating that cannabis overall consumption is less affected by occasional abuse. Regarding cocaine, an unusual low consumption was noticed in the weekend immediately after the Carnival Holiday, indicating lower demand or supply issues. Higher cocaine and cannabis use was observed throughout the entire sampling period in the area covered by NW-WWTP, probably due to the higher proportion of young people. This investigation brings the first data on cannabis use in Brazil by WBE and confirms this strategy as a well consolidate tool for estimating illicit drug use and abuse.
Microwave Plasma Enhancing Mg-Based Hydrogen Storage: Thermodynamics Evaluation and Economic Analysis of Coupling SOFC for Heat and Power Generation
Authors: Wang Huan , Yan Hongli , Ren Jianwei , Li Bo , Nyallang Nyamsi Serge , Wu Zhen 
Published: June 2022

Hydrogen, as a kind of green and efficient energy, plays an increasingly important role in current social development. Hydrogen storage technology is considered to be one of the main bottlenecks in limiting the large-scale application of hydrogen energy. The solid-state hydrogen storage technology based on Mg-based materials has received extensive attention due to its advantages of high hydrogen capacity, good reversibility, and low cost, but there are still shortcomings such as high reaction temperature, large energy consumption, and slow reaction kinetics. In order to solve these problems, this article proposes a new method of using microwave plasma to ionize hydrogen into H− ion. The possible activation mechanism of microwave plasma to improve the hydrogen storage properties is put forward. Based on the activation mechanism, the thermodynamic performance of Mg-based hydrogen storage is evaluated using density functional theory. It is concluded that the reaction temperature is significantly reduced from 339°C to 109°C with the help of microwave plasma. In addition, the comparison between the conventional heating hydrogen storage process based on MgH2 and microwave enhanced advanced hydrogen storage process based on MgH2 systems coupled with solid oxide fuel cells for heat and power generation is conducted to evaluate the economic feasibility. The results show that the energy consumption cost of the proposed microwave plasma enhancing hydrogen storage system is approximately 1.71 $/kgH2, which is about 50% of the energy consumption cost of the conventional system.
Pencegahan Stunting di Kabupaten Pasuruan dengan Pelatihan Pengolahan Ikan Gabus
Authors: Handayani Handayani 
Published: June 2022

Stunting prevention in children under five is the main program of the Indonesian government. This community service aims to provide education about stunting and its prevention, the snakehead fish benefits and training on how to process it into products. From Focus Group Discussion of the Medical faculty of Universitas Nahdlatul Ulama Surabaya Team with the chairman of Fatayat NU Bangil, known that members of Fatayat NU Bangil are not familiar with snakehead fish and how to process it, nor does anyone have an independent business of processed snakehead fish. The training was held on December 24, 2021 at the Anisah Foundation building, Bangil district in Pasuruan, attended by 50 participants. The presenter were from the Chairman of the PasuruanRegency Forikan, Department of Industry and Trade, the Pasuruan Regency Fisheries Service. The post test results showed that after the training the participants had understood about stunting and its prevention, snakehead fish benefits and could also process food made from snakehead fish. To encourage independent business partners, the Community Service Team also freezer, mixer impulse sealer. It is hoped that after this activity participants can socialize eating fish habit and can also produce processed food from snakehead fish.
Estimation of uniformity in Schottky contacts between printed Ni electrode and n-GaN by scanning internal photoemission microscopy
Authors: Shiojima Kenji , Kawasumi Yuto , Yasui Yuto , Kashiwagi Yukiyasu , Tamai Toshiyuki 
Published: June 2022

Abstract
We report basic diode characteristics and uniformity of Schottky contacts between printed Ni electrode and n-GaN on GaN epitaxial wafers annealed at 400, 500, and 600 °C. The Schottky barrier height of the samples annealed at 400 °C and 500 °C were as high as 1.21 eV, which is comparable to a conventional evaporated Ni contact. When the annealing temperature was 600 °C, rectifying the characteristics that were lost. Scanning internal photoemission microscopy (SIPM) showed that contacts annealed at 500 °C exhibited better uniformity than those at 400 °C. In contrast, the photo yield signal in SIPM of the contact annealed at 600 °C became weak and noisy due to the interfacial reaction between Ni and GaN. SIPM revealed that the contacts printed Ni electrode on GaN was more uniform than those of the printed Ag electrode. These results also show that SIPM is useful to estimate the uniformity of electrode contacts on semiconductors by non-destructive visualization.
Penerapan Metode Al-Hira Dalam Optimalisasi Membaca Al-Qur’an Di Kelas II SD Islam Terpadu Al-Husnayain
Authors: Ikbal Muhammad , Pratami Fuji 
Published: June 2022

<p><em>Penelitian ini bertujuan untuk mengetahui bagaimana penerapan optimalisasi</em><em> Membaca Al-Qur’an </em><em>Melalui Metode Al-Hira’</em><em> di kelas II SD IT Al-Husnayain.</em><em>Mengetahui kemampuan membaca Al-Qur’an anak </em><em>di kelas II SD IT Al-Husnayain</em><em> setelah menggunakan metode Al-Hira’.</em><em> Penelitian ini</em><em> menggunakan pendekatan kualitatif</em><em>, yang memperoleh data, menggunakan metode dokumentasi yaitu suatu metode penelitian untuk memperoleh keterangan dengan cara memeriksa dan mencatat laporan, dengan unsur manusia, dengan informan </em><em>Kepala sekolah SD IT Al-Husnayain, Guru Kelas II SD IT Al-Husnayain dan siswa Kelas II SD IT Al-Husnayain. </em><em>selanjutnya menggunakan teknik wawancara, </em><em>yakni digunakan untuk mengetahui secara mendalam, detail, dan jelas dalam upaya menemukan pengalaman-pengalaman informan atau responden </em><em>tentang rumusan masalah atau situasi spesifk yang dikaji. Peneliti juga memakai teknik observasi, dengan melibatkan diri </em><em>meneliti, mengumpulkan data secara sistematik dalam bentuk catatan lapangan. </em><em> Hasil temuan penelitian ini ada </em><em>dua yaitu: pertama, Metode Al-Hira’ yang diterapkan untuk</em><em> optimalisasi kemampuan membaca Alquran di SD Swasta AlHira’ dengan 20 langkah-langkah pembelajaran. Kedua,. Kemampuan membaca Alquran siswa kelas II SD </em><em>IT Al-Husnayain dapat dikategorikan mampu</em><em> yang telah sesuai dengan tajwid dan makhroj huruf.</em><em></em></p>
Resource Allocation for Joint Interference Management and Security Enhancement in Cellular-Connected Internet-of-Drones Networks
Authors: HASSAN MD ZOHEB , Kaddoum Georges , Akhrif Ouassima 
Published: June 2022

<p>Internet-of-drones (IoD) systems require enhanced data transmission security and efficient interference management to accommodate the rapidly growing drone-based and rate-intensive applications. This paper develops a novel resource allocation scheme to jointly manage interference and enhance the physical layer security of cellular-connected IoD networks in the presence of a multi-band eavesdropping drone. Our envisioned cellular-connected IoD network has multiple full-duplex cellular base stations (CBSs), where each CBS reserves an orthogonal cellular radio resource block (RRB) for the aerial communication links. To efficiently utilize the cellular RRBs, each CBS is connected to a cluster of data transmitting drones using uplink non-orthogonal multiple access (NOMA) scheme. In addition, all the CBSs simultaneously transmit artificial noise signals to weaken the eavesdropper links. A joint optimization problem, considering the transmit power allocation and clustering of the legitimate drones, and the jamming power allocation of the CBSs, is formulated to maximize the worst-case average sum-secrecy-rate of the network. The joint optimization problem is decomposed into drone-clustering and power allocation sub-problems to obtain an efficient solution. A multi-agent reinforcement-learning framework is devised to solve the drone-clustering sub-problem. Meanwhile, the transmit and jamming power allocation sub-problem is solved by employing fractional programming, successive convex approximation, and alternating optimization techniques. By iteratively solving these two sub-problems, a convergent resource allocation algorithm, namely, security and interference management with reinforcement-learning and NOMA (SIREN), is proposed. The superiority of SIREN over several benchmark schemes is verified via extensive simulations. </p>
Langzeiterfahrungen zur geothermischen Nutzung der U-Bahn-Station Taborstraße in Wien/Long-term experience of the geothermal energy use of the metro station Taborstraße in Vienna
Authors: Brunner Adrian , Markiewicz Roman , Pistrol Johannes , Adam Dietmar 
Published: June 2022

Vier der im Zuge der U-Bahn-Erweiterung der Linie U2 in Wien im Jahr 2008 neu eröffneten Stationen decken einen Großteil ihres Heiz- und Kühlbedarfs seit beinahe eineinhalb Jahrzehnten aus geothermischer Energie, welche durch Massivabsorber in Form von Energieschlitzwänden, Energiepfählen und Energiebodenplatten der Stationsgebäude gewonnen wird. Da es sich zum Zeitpunkt der Errichtung weltweit um das erste Infrastrukturbauwerk dieser Art und Dimension handelte, wurde ein Schlitzwandelement der Station Taborstraße mit zahlreichen Messsensoren ausgestattet, um Datensätze des thermo-mechanischen Langzeitverhaltens dieser Bauteile zu generieren. Kontinuierliche Messungen mit automatischer Datenaufzeichnung erfolgten zunächst von April 2008 bis Mai 2011. Im Oktober 2020 wurden die Messungen mit der bestehenden Sensorik wieder aufgenommen, wobei die Messungen manuell im Monatsrhythmus erfolgen, um einen langfristigen Vergleich der Messdaten zu ermöglichen sowie eine Beurteilungsgrundlage von Auswirkungen des geothermischen Betriebs auf die konstruktiven Bauteile zu schaffen.

Der vorliegende Beitrag gibt einen Überblick über die Station Taborstraße mit Fokus auf die thermisch aktivierten Bauteile und deren Instrumentierung. Ein Vergleich der messtechnisch erfassten genutzten Energie mit dem prognostizierten Wärme- und Kältebedarf wird im Zusammenhang mit den Energiedaten diskutiert. Darüber hinaus wird das Temperatur- und Dehnungsverhalten der beobachteten Energieschlitzwand anhand der über einen Zeitraum von rund 14 Betriebsjahren erhobenen Messdaten beschrieben.
GENGA. II. GPU Planetary N-body Simulations with Non-Newtonian Forces and High Number of Particles
Authors: Grimm Simon L. , Stadel Joachim G. , Brasser Ramon , Meier Matthias M. M. , Mordasini Christoph 
Published: June 2022

Abstract
We present recent updates and improvements of the graphical processing unit (GPU) N-body code GENGA. Modern state-of-the-art simulations of planet formation require the use of a very high number of particles to accurately resolve planetary growth and to quantify the effect of dynamical friction. At present the practical upper limit is in the range of 30,000–60,000 fully interactive particles; possibly a little more on the latest GPU devices. While the original hybrid symplectic integration method has difficulties to scale up to these numbers, we have improved the integration method by (i) introducing higher level changeover functions and (ii) code improvements to better use the most recent GPU hardware efficiently for such large simulations. We added treatments of non-Newtonian forces such as general relativity, tidal interaction, rotational deformation, the Yarkovsky effect, and Poynting–Robertson drag, as well as a new model to treat virtual collisions of small bodies in the solar system. We added new tools to GENGA, such as semi-active test particles that feel more massive bodies but not each other, a more accurate collision handling and a real-time openGL visualization. We present example simulations, including a 1.5 billion year terrestrial planet formation simulation that initially started with 65,536 particles, a 3.5 billion year simulation without gas giants starting with 32,768 particles, the evolution of asteroid fragments in the solar system, and the planetesimal accretion of a growing Jupiter simulation. GENGA runs on modern NVIDIA and AMD GPUs.