Miracle-dz/UniFAR-FTUs huggingface dataset:
Tweeting the High Line Life: A Social Media Lens on Urban Green Spaces

The objective of this study is to investigate elevated parks as urban green spaces using social media data analytics. Two popular elevated parks, the High Line Park in New York and the 606 in Chicago, were selected as the study sites. Tweets mentioning the two parks were collected from 2015 to 2019. By using text mining, social media users’ sentiments and conveyed perceptions about the elevated parks were studied. In addition, users’ activities and their satisfaction were analyzed. For the 606, users mainly enjoyed the free events at the park and worried about possible increases in housing prices and taxes because of the 606. They tended to participate in physical activities such as biking and walking. Although the 606 provides scenic observation points, users did not seem to enjoy these. Regarding the High Line, users frequently mentioned New York City, which is an important aspect of the identity of the park. The High Line users also frequently mentioned arts and relaxation. Overall, this study supports the idea that social media analytics can be used to gain an understanding of the public’s use of urban green spaces and their attitudes and concerns.
An evaluation of surface meteorology and fluxes over the Iceland and Greenland Seas in ERA5 reanalysis: The impact of sea ice distribution

The Iceland and Greenland Seas are a crucial region for the climate system, being the headwaters of the lower limb of the Atlantic Meridional Overturning Circulation. Investigating the atmosphere–ocean–ice processes in this region often necessitates the use of meteorological reanalyses—a representation of the atmospheric state based on the assimilation of observations into a numerical weather prediction system. Knowing the quality of reanalysis products is vital for their proper use. Here we evaluate the surface‐layer meteorology and surface turbulent fluxes in winter and spring for the latest reanalysis from the European Centre for Medium‐Range Weather Forecasts, i.e., ERA5. In situ observations from a meteorological buoy, a research vessel, and a research aircraft during the Iceland–Greenland Seas Project provide unparalleled coverage of this climatically important region. The observations are independent of ERA5. They allow a comprehensive evaluation of the surface meteorology and fluxes of these subpolar seas and, for the first time, a specific focus on the marginal ice zone. Over the ice‐free ocean, ERA5 generally compares well to the observations of surface‐layer meteorology and turbulent fluxes. However, over the marginal ice zone, the correspondence is noticeably less accurate: for example, the root‐mean‐square errors are significantly higher for surface temperature, wind speed, and surface sensible heat flux. The primary reason for the difference in reanalysis quality is an overly smooth sea‐ice distribution in the surface boundary conditions used in ERA5. Particularly over the marginal ice zone, unrepresented variability and uncertainties in how to parameterize surface exchange compromise the quality of the reanalyses. A parallel evaluation of higher‐resolution forecast fields from the Met Office's Unified Model corroborates these findings.
Development of a Simultaneous Detection Method for Foodborne Pathogens Using Surface Plasmon Resonance Biosensors

*To whom correspondence should be addressed. E-mail: tmiyamot@agr.kyushu-u.ac. jp Introduction Food safety is a global health goal and food poisoning is a major health risk (Velusamy et al., 2010). There are approximately 76 million instances of food poisoning, accounting for 324,000 hospitalizations, 5200 deaths and a $23 billion financial loss annually in the United States (Mead et al., 2000). Although the safety of food has dramatically improved overall in the past several years, food poisoning still occurs. According to the Statistics of Food Poisoning published by the Food Safety Division, the Ministry of Health, Labor and Welfare of Japan, 1100 incidents of food poisoning occurred in Japan in 2012, causing 26,699 hospitalizations and 11 deaths (i). Foodborne pathogens are a major cause of food poisoning, thus the rapid, sensitive and reliable detection of foodborne pathogens is critical for the effective prevention of outbreaks of food poisoning. At present, culture-based conventional methods are commonly used in the food industry to detect foodborne pathogens. The conventional methods are considered to be the “gold-standard” and are well known for their cost effectiveness, sensitivity, ability to confirm cell viability, and ease of standardization (Dwivedi and Jaykus, 2011). However, because they have complicated procedures, they are time consuming, taking at least 2 to 3 days for positive presumptive results and 7 to 10 days for confirmation, and are also labor intensive (Bai et al., 2010). The rapid growth of the food industry means that these methods can no longer meet the demands of the industry. Thus, the need for rapid and simple detection methods for foodborne pathogens is growing. Several new methods, such as enzyme-linked immunosorbent assay (ELISA) (Park et al., Original paper
Modeling a stressed-deformed state of a technological pipeline with a displacement of edges

During installation or repair of pipeline routes, a deviation such as a displacement of the edges of the docking elements, which is formed due to a certain mistake in preparation for welding and welding of the section, is possible. The permissible values of the displacing edges are regulated by the state standard and other regulatory and technical documentation in the field of design, installation, operation and repair of process pipelines. When identifying displacement sizes not exceeding the permissible limits, the pipeline is allowed further operation. In the future, to ensure reliable operation of the pipeline, a periodic assessment of its technical condition is carried out according to current standards. However, even the allowable displacement of the edges is a kind of stress concentrator and can be a source of crack nucleation and further destruction, which will lead to an emergency. Current methods for diagnosing and extending the life of pipelines do not include measures to assess the maximum stresses of welded joints with offsets. There is no analysis of how the displacement of the edges in certain areas affects the stress-deformed state of the entire pipeline as a whole, and what impact do co-locate technical devices have with possible geometric deviations during installation, for example, deviations from verticality. In this paper, we study the interconnection between the effects of technologically neighboring apparatuses and deviations from verticality formed during installation, as well as areas of displacement of the edges of the processing pipeline to the stress-deformed state of the pipeline as a whole.
Does spirituality correlate with students’ empathy during covid-19 pandemic? the case study of Indonesian students

Covid-19 pandemic has affected all parts of human life. It affects health, as well as socio and economic aspects. In this situation, high empathy should follow the implementation of physical distancing to reduce the spread of the virus. However, anti-social behavior has mostly materialized. This study aims to explore the spiritual effect on students' empathy during the Covid-19 pandemic. It observes if spirituality predicts empathy and the other way around. 1004 university students from 65 universities in East Java, Indonesia, were recruited to give responses from a set of questionnaires. Smart-PLS application was used to analyze the statistical data. Findings uncovered that this measurement model is valid and reliable for spirituality (Spiritual Assessment Scale=SAS) and empathy (Interpersonal Reactivity Index=IRI) construct. Through a structural model, our study also found that spirituality and empathy have a significant reciprocal relationship (with a path coefficient of 0.564). Spirituality predicts empathy and the other way around. Our findings suggest that universities' counseling units apply spiritual strategies in counseling activities to accelerate students' empathy during the Covid-19 pandemic and to anticipate the future crisis.
An Experimental Investigation of Silica Nanoparticles Effect on the Rheological Behavior of Polyacrylamide Solution to Enhance Heavy Oil Recovery

The use of polymer flooding as one of enhanced oil recovery methods has recently increased. The occurrence of high shear rates in reservoir and near well bore through perforation nozzles during polymer flooding cause shear degradation of polymers and therefore polymer viscosity has decreased. Rheological behavior of polymer solution in different conditions of oil reservoir is one of the key factors to develop use of polymer solutions. A few researches are available regarding improving rheological behavior of polymeric solution. In this study, to investigate the effect of nanoparticles on rheological behavior of polymer solutions two samples were prepared: polyacrylamide solution in water and suspension of silica nanoparticles in polyacrylamide solution. The sample viscosities in different shear rates were measured. The best rheology models were developed to state rheological behavior of prepared samples and the measured data were compared to power law model. An increase in the viscosity of the suspension solution with respect to polymer solution in different shear rates was observed. Rheological analysis showed that power law model is a good rheology model to demonstrate rheological behavior of suspension in low and medium shear rates and is an acceptable model for polymer solution in low shear rates. Two types of flooding test were performed in a glass micromodel: flooding by polyacrylamide solution and suspension of silica nanoparticles in polyacrylamide solution. The results of flooding test showed a 10% increase in oil recovery for nanosuspension solution in comparison with polymer solution after one pore volume fluid injection.
Exoelectrogens in microbial fuel cells toward bioelectricity generation: a review

Exoelectrogens are catalytic microorganisms competent to shuttle electrons exogenously to the electrode surface without utilizing artificial mediators. Diverse microorganisms acting as exoelectrogens in the fluctuating ambience of microbial fuel cells (MFCs) propose unalike metabolic pathways and incompatible, specific proteins or genes for their inevitable performance toward bioelectricity generation. A pivotal mechanism known as quorum sensing allows bacterial population to communicate and regulates the expression of biofilm‐related genes. Moreover, it has been found that setting the anode potential affects the metabolism of the exoelectrogens and hence the output of MFCs. Microscopic, spectrometry investigations and gene deletion studies have confirmed the expression of certain genes for outer‐membrane multiheme cytochromes and conductive pili, and their potential roles in the exoelectrogenic activity. Further, cyclic voltammetry has suggested the role of multifarious redox‐active compounds secreted by the exoelectrogens in direct electron transport mechanisms. Besides, it also explores the various mechanisms of exoelectrogens with genetic and molecular approaches, such as biofilm formation, microbial metabolism, bioelectrogenesis, and electron transfer mechanisms from inside the exoelectrogens to the electrodes and vice versa. Copyright © 2015 John Wiley & Sons, Ltd.
Demonstrative Pronouns as Anti-Logophoric Pronouns: An Experimental Investigation

In this paper we report the results of two experimental studies in which we tested the claim of Hinterwimmer and Bosch (2017) that German demonstrative pronouns are anti-logophoric pronouns: They avoid discourse referents as antecedents that function as perspectival centers. In both experiments we tested the interpretative options of demonstrative pronouns in text segments which were either perspectivally neutral or in which the narrator’s or a topical protagonist’s perspective was foregrounded. Taken together, the experimental results are most compatible with a slightly modified version of the analysis argued for in Hinterwimmer and Bosch (2017) according to which topical discourse referents in neutral narration automatically become perspectival centers.
Study on correlation between six minute walk test and BODE index in chronic obstructive pulmonary disease patients

Background: Chronic obstructive pulmonary disease is preventable and treatable disease with progressive persistent airflow limitation and enhanced chronic inflammatory response in the airways. Indian council of medical research conducted a study and found that total burden of COPD in India has more than doubled to about 14.84 million in 2011 from about 6.45 million in 1971Methods: It was an open label cross sectional study. It was conducted on patients attending the outpatient department of respiratory medicine, new medical college and hospital, Kota, over a period of one year. 100 COPD patients attending the respiratory outpatient department of GMC, Kota and fulfilling the inclusion criteria’s were included in the study. A diagnosis and severity of COPD was established by clinical symptoms and spirometric data as per GOLD guideline (ratio of FEV1 and forced vital capacity <0.7). Results: We found a significant negative correlation (Pearson correlation coefficient r = -0.664, p< 0.001) between 6 MWD and BODE index in study population.Conclusions: Thus, we concluded that the functional exercise capacity of COPD patients measured by 6MWT deteriorates linearly with severity of the disease assessed by the GOLD staging criteria. Hence we can use 6 MWT for assessing the severity of COPD in place of spirometry where the facility of spirometry is not feasible.
CROWDFUNDING AND SMEs FUNDING IN NIGERIA-PROS AND CONS

Crowdfunding is a new layer of fundraising for small and medium-scale enterprises (SMEs) and other innovative ideas that offer an incentive to lift the power of the Internet from the crowd. As a new method of fundraising, the main knowledge of the idea is missing on the part of the entrepreneur, the financial professional, the academician and the general public. This calls for a deeper understanding of concepts, models, pros, cons; it is against this backdrop that the study looked at crowdfunding as alternative sources of financing for small and medium-scale enterprises The study used an exploratory research approach with a focus on literature in the fields of Business Management, Accounting, and Finance, Internet academic journals, blogs, government publications and records, a variety of research reports and by individual researchers The conclusion is that crowdfunding for small and medium-scale enterprises (SMEs) activities is a possibility in Nigeria and should be seen by people as an idea and a shift from negative thinking; of course, regulatory and other stakeholders have complementary roles to play.
Remote Management Architecture of UAV Fleets for Maintenance, Surveillance, and Security Tasks in Solar Power Plants

This article presents a remote management architecture of an unmanned aerial vehicles (UAVs) fleet to aid in the management of solar power plants and object tracking. The proposed system is a competitive advantage for sola r energy production plants, due to the reduction in costs for maintenance, surveillance, and security tasks, especially in large solar farms. This new approach consists of creating a hardware and software architecture that allows for performing different tasks automatically, as well as remotely using fleets of UAVs. The entire system, composed of the aircraft, the servers, communication networks, and the processing center, as well as the interfaces for accessing the services via the web, has been designed for this specific purpose. Image processing and automated remote control of the UAV allow generating autonomous missions for the inspection of defects in solar panels, saving costs compared to traditional manual inspection. Another application of this architecture related to security is the detection and tracking of pedestrians and vehicles, both for road safety and for surveillance and security issues of solar plants. The novelty of this system with respect to current systems is summarized in that all the software and hardware elements that allow the inspection of solar panels, surveillance, and people counting, as well as traffic management tasks, have been defined and detailed. The modular system presented allows the exchange of different specific vision modules for each task to be carried out. Finally, unlike other systems, calibrated fixed cameras are used in addition to the cameras embedded in the drones of the fleet, which complement the system with vision algorithms based on deep learning for identification, surveillance, and inspection.
Asians and Asian Americans’ experiences of racial discrimination during the COVID-19 pandemic: Impacts on health outcomes and the buffering role of social support.

Reports of racially discriminatory behaviors toward Asians in the United States have surged during the COVID-19 pandemic The current study examined self-reported racial discrimination toward Asians and Asian Americans living in the United States in relation to four mental and physical health outcomes: anxiety, depressive, and physical symptoms and sleep difficulties The moderating role of social support was also examined In addition, participants were asked to describe a specific instance of discrimination that had happened during the pandemic Four hundred ten participants (Mage = 26 5 years, SD = 7 8;47% female) responded via online survey from all across from the country Nearly 30% reported an increase in discrimination since the pandemic, and over 40% reported an increase in anxiety, depressive symptoms, and sleep difficulties The four multiple regressions were each significant, with higher levels of discrimination and lower levels of social support predicting more health problems for each outcome Social support significantly buffered the effect of discrimination on depressive symptoms and marginally buffered the effect on physical symptoms Conventional content analysis was used to identify multiple themes within the three broad categories of personal experiences with discrimination, experiences with a stigmatizing anti-Asian racist culture, and prevention of exposure to discrimination Results indicate that Asians have experienced elevated racial discrimination during the COVID-19 pandemic, including hate crimes, microaggressions, and vicarious discrimination, and these experiences are associated with poorer self-reported mental and physical health (PsycInfo Database Record (c) 2020 APA, all rights reserved)
Operations Knowledge Management in Health Care

The aging population of the western world poses a medical challenge for the society of today and the future. The pressure on health care and its organization is increasing as the demand for health care is growing at the same time as the costs are continuously rising. There seems to be consensus regarding bottlenecks in healthcare production systems, and that knowledge is needed in order to increase insights about operational decisions. This chapter is based on a qualitative case study conducted at a hospital in western Sweden. Eleven CEOs together with their production controllers were interviewed. The chapter aims to analyze knowledge management mechanisms in the infrastructure of a health-care organization. The analysis shows how mechanisms have significant impacts on the knowledge management practice in the operations management. A learning and knowledge creation culture, together with an organizational architecture for adaptive and exaptive capacity, and a business model for knowledge capitalization could support the production of smooth and effective health care in society, which is of high quality.
Teacher Views of Teaching English through English (TETE) in Japanese Junior High Schools: Findings from the Inside

This study investigates teacher perspectives on a recent directive from the Japanese Ministry of Education (MEXT), which states that “lessons should be given in English at junior high schools (JHSs), in principle, according to the level of understanding of students” (MEXT, 2014, p. 4). I am a native English-speaking teacher (NEST) and taught with twelve Japanese national non-native English-speaking teachers (NNEST) in two Niigata-based junior high schools throughout the 2017 to 2018 academic year. In one of the schools I spoke only English (whilst teaching and outside of class), and in the other school I spoke the students’ L1s (Japanese and Spanish), and English (students’ L2). My classroom experiences are discussed through reflective practice. Data from questionnaires and interviews indicate NNESTs’ perceptions of the study and opinions of teaching English through English (TETE). I finally discuss challenges that the TETE experience presented to my teaching and suggest ways to overcome them. 本論は、文部科学省（MEXT）の「生徒の理解の程度に応じて、中学校では授業は英語で行うことを基本とする」（MEXT, 2014: 4）という近年の方針に対する教員側からの受け止め方について調査したものである。 英語母語話者の教員（NEST）である筆者は、2017-2018年度に非英語母語話者の日本人英語教員（NNEST）12名とともに新潟県の中学校2校において英語を指導した。 実験群の学校ではNESTは指導中に英語のみを話し、統制群の学校では生徒の母語である日本語及びスペイン語（L1）と英語（L2）で話した。 教室におけるNESTの体験について振り返りを基に議論された。 本研究に対するNNESTの受け止め方や、英語を英語で指導した授業（TETE）に関する意見はアンケートおよびインタビューによって収集された。 本論は、英語を英語で教えることの課題や、それを克服する方法について論じている。
Factors on Community Livability and Local Government Policy in the Rural Area in Japan

This study examines how Akita citizens view their local government policy on 1) Industry and Production, 2) Medical/Welfare, 3) Education, 4) Agriculture, Forestry and Fisheries, 5) Regional activation, 6) Transportation/Conveniences, and their relationships with community livability by using data from “Citizens Awareness Survey” conducted by Akita local government in 2016. Results show that Akita citizens feel that policy on “Depopulation”, “Medical/Welfare”, “Education” and “Industry/Production” have influence on community livability. However, policies on Agriculture, Forestry, Fisheries, Regional activation, and Transportation/Convenience are negative influence on community livability.
Frontal theta brain activity varies as a function of surgical experience and task error

Objective Investigations into surgical expertise have almost exclusively focused on overt behavioral characteristics with little consideration of the underlying neural processes. Recent advances in neuroimaging technologies, for example, wireless, wearable scalp-recorded electroencephalography (EEG), allow an insight into the neural processes governing performance. We used scalp-recorded EEG to examine whether surgical expertise and task performance could be differentiated according to an oscillatory brain activity signal known as frontal theta—a putative biomarker for cognitive control processes. Design, setting, and participants Behavioral and EEG data were acquired from dental surgery trainees with 1 year (n=25) and 4 years of experience (n=20) while they performed low and high difficulty drilling tasks on a virtual reality surgical simulator. EEG power in the 4–7 Hz range in frontal electrodes (indexing frontal theta) was examined as a function of experience, task difficulty and error rate. Results Frontal theta power was greater for novices relative to experts (p=0.001), but did not vary according to task difficulty (p=0.15) and there was no Experience × Difficulty interaction (p=0.87). Brain–behavior correlations revealed a significant negative relationship between frontal theta and error in the experienced group for the difficult task (r=−0.594, p=0.0058), but no such relationship emerged for novices. Conclusion We find frontal theta power differentiates between surgical experiences but correlates only with error rates for experienced surgeons while performing difficult tasks. These results provide a novel perspective on the relationship between expertise and surgical performance.