Miracle-dz/UniFAR-FTUs huggingface dataset:
A Surgery of the Neural Architecture Evaluators

Neural architecture search (NAS) recently received extensive attention due to its effectiveness in automatically designing effective neural architectures. A major challenge in NAS is to conduct a fast and accurate evaluation of neural architectures. Commonly used fast architecture evaluators include one-shot evaluators (including weight sharing and hypernet-based ones) and predictor-based evaluators. Despite their high evaluation efficiency, the evaluation correlation of these evaluators is still questionable. In this paper, we conduct an extensive assessment of both the one-shot and predictor-based evaluator on the NAS-Bench-201 benchmark search space, and break up how and why different factors influence the evaluation correlation and other NAS-oriented criteria. Codes are available at this https URL.
Title : Tweet , Favorite , and Envy Submission Type : Full Paper

Envy is receiving more and more attention from both the IT industry and academia. IT researchers usually rely on subjective, survey-based methods to study envy. In the current paper, we investigated envy-related messages from Twitter through text analytics. We found that online envy was significantly associated with social media use patterns: users who “favorite” more and post less are more likely to express malicious envy while users who “favorite” less and post more are more likely to express benign envy. Moreover, users’ influence moderates the degree of the two types of envy. When a user is a profound influencer, the user would be more likely to express a lower level of malicious envy, and would also be more likely to express a higher level of benign envy. The findings provide a number of theoretical contributions and practical implications.
Ozone seasonal evolution and photochemical production regime in the polluted troposphere in eastern China derived from high-resolution Fourier transform spectrometry (FTS) observations

Abstract. The seasonal evolution of O3 and its photochemical production regime in a polluted region of eastern China between 2014 and 2017 has been investigated using observations. We used tropospheric ozone (O3), carbon monoxide (CO), and formaldehyde (HCHO, a marker of VOCs (volatile organic compounds)) partial columns derived from high-resolution Fourier transform spectrometry (FTS); tropospheric nitrogen dioxide (NO2, a marker of NOx (nitrogen oxides)) partial column deduced from the Ozone Monitoring Instrument (OMI); surface meteorological data; and a back trajectory cluster analysis technique. A broad O3 maximum during both spring and summer (MAM/JJA) is observed; the day-to-day variations in MAM/JJA are generally larger than those in autumn and winter (SON/DJF). Tropospheric O3 columns in June are 1.55×1018 molecules cm−2 (56 DU (Dobson units)), and in December they are 1.05×1018 molecules cm−2 (39 DU). Tropospheric O3 columns in June were ∼50 % higher than those in December. Compared with the SON/DJF season, the observed tropospheric O3 levels in MAM/JJA are more influenced by the transport of air masses from densely populated and industrialized areas, and the high O3 level and variability in MAM/JJA is determined by the photochemical O3 production. The tropospheric-column HCHO∕NO2 ratio is used as a proxy to investigate the photochemical O3 production rate (PO3). The results show that the PO3 is mainly nitrogen oxide (NOx) limited in MAM/JJA, while it is mainly VOC or mixed VOC–NOx limited in SON/DJF. Statistics show that NOx-limited, mixed VOC–NOx-limited, and VOC-limited PO3 accounts for 60.1 %, 28.7 %, and 11 % of days, respectively. Considering most of PO3 is NOx limited or mixed VOC–NOx limited, reductions in NOx would reduce O3 pollution in eastern China.
Abstrak Hawkes Point Processes digunakan untuk memprediksikan kejadian di masa depan banyak memiliki keunggulan dibandingkan dengan pendekatan lainnya seperti pendekatan bayesian, Poisson Process dan Kernel Based. Kemudahan dalam pengembangan formula dasar Hawkes Point Processes menyebabkan banyak p

Hawkes Point Processes digunakan untuk memprediksikan kejadian di masa depan banyak memiliki keunggulan dibandingkan dengan pendekatan lainnya seperti pendekatan bayesian, Poisson Process dan Kernel Based. Kemudahan dalam pengembangan formula dasar Hawkes Point Processes menyebabkan banyak penelitian menggunakan dan mengembangkan pendekatan Hawkes Point Processes untuk mempelajari fenomena-fenomena yang terjadi di dunia nyata.
COVID, BLM, and the polarization of US politicians on Twitter

We mapped the tweets of 520 US Congress members, focusing on analyzing their engagement with two broad topics: first, the COVID-19 pandemic, and second, the recent wave of anti-racist protest. We find that, in discussing COVID-19, Democrats frame the issue in terms of public health, while Republicans are more likely to focus on small businesses and the economy. When looking at the discourse around anti-Black violence, we find that Democrats are far more likely to name police brutality as a specific concern. In contrast, Republicans not only discuss the issue far less, but also keep their terms more general, as well as criticizing perceived protest violence.
CS 229 Autumn 2018 : End Mark Prediction

Our project developed models for the task of assigning one of three end-marks periods, question marks, or exclamation points to variable-length English sentences. Our models were trained with a labeled data set extracted from English novels and scored using labeled examples from the same set. We tested logistic regression, naïve bayes, random forests, and SVMs, and found them all to be more effective than our baseline, proportional guessing, and less effective than our oracle, human-level. We found that random forests had the strongest performance of the developed models, although the similarities in performance make it impossible to conclude that they outperform the other models for this task.
Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube

User beliefs about algorithmic systems are constantly co-produced through user interaction and the complex socio-technical systems that generate recommendations. Identifying these beliefs is crucial because they influence how users interact with recommendation algorithms. With no prior work on user beliefs of algorithmic video recommendations, practitioners lack relevant knowledge to improve the user experience of such systems. To address this problem, we conducted semi-structured interviews with middle-aged YouTube video consumers to analyze their user beliefs about the video recommendation system. Our analysis revealed different factors that users believe influence their recommendations. Based on these factors, we identified four groups of user beliefs: Previous Actions, Social Media, Recommender System, and Company Policy. Additionally, we propose a framework to distinguish the four main actors that users believe influence their video recommendations: the current user, other users, the algorithm, and the organization. This framework provides a new lens to explore design suggestions based on the agency of these four actors. It also exposes a novel aspect previously unexplored: the effect of corporate decisions on the interaction with algorithmic recommendations. While we found that users are aware of the existence of the recommendation system on YouTube, we show that their understanding of this system is limited.
Justice and the Spatial Imagination

I attempt in this paper to conceptualize a notion of spatial justice in order to point to the dialectical relationship between (in)justice and spatiality, and to the role that spatialization plays in the production and reproduction of domination and repression. I argue that the city provides a productive ground for the formation of a spatially informed ethics of political solidarity against domination and repression. A ‘triad’ is articulated to inform such politics, which brings together three notions: the spatial dialectics of injustice, the right to the city, and the right to difference. The notion of spatial justice is employed as a theoretical underpinning to avoid abusive interpretations of Lefebvrian rights in a liberal framework of individual rights. The case of French urban policy is used for illustrative purposes. Finally, the notion of égaliberté is introduced as a moral ground on which the triad may be defended.
Emoviz : an Emoji-enabled Online Annotation Tool

Emoji are often used to express emotions or visually enrich text communications, but little is known about the impact of emoji in peer feedback. We conducted a qualitative study on emoji’s roles in peer feedback in a small group collaborative design activity; the activity was conducted entirely online as part of a distance education class. Using content analysis on the feedback peers provided, and thematic analysis on transcribed interviews, we analyzed how emoji are used and perceived in four types of design feedback. Our analysis suggests that emoji increase peers’ awareness of affective status, and are also used to mark minor cognitive feedback with a more personal flavor as part of document-based conversations. We found that emoji help to establish a general informality for peer feedback activities. We discuss the implications for the design of collaborative learning software that supports richer peer feedback.
A Multilingual Neural Machine Translation Model for Biomedical Data

We release a multilingual neural machine translation model, which can be used to translate text in the biomedical domain. The model can translate from 5 languages (French, German, Italian, Korean and Spanish) into English. It is trained with large amounts of generic and biomedical data, using domain tags. Our benchmarks show that it performs near state-of-the-art both on news (generic domain) and biomedical test sets, and that it outperforms the existing publicly released models. We believe that this release will help the large-scale multilingual analysis of the digital content of the COVID-19 crisis and of its effects on society, economy, and healthcare policies. We also release a test set of biomedical text for Korean-English. It consists of 758 sentences from official guidelines and recent papers, all about COVID-19.
An Examination of the Severity of Aquatic Incidents

Lanagan-Leitzel (2012) found that lifeguards do not consistently report incidents when free-viewing aquatic scenes and miss some incidents that should be considered critical. This could have been because they did not know what incidents were critical to monitor or because they were busy monitoring other incidents. In the current study, lifeguards and non-lifeguards were presented with video clips of isolated incidents and rated the severity of each on a scale of 0 – 7. The lifeguards reported greater mean and maximum incident severity than non-lifeguards. Further analyses of lifeguard responses revealed that severity ratings were only moderately correlated to the report rate in Lanagan-Leitzel (2012). Some of the incidents, though under-reported in Lanagan-Leitzel (2012), were given high severity ratings when isolated in the current study. It is proposed that lack of report in Lanagan-Leitzel (2012) may have occurred due to attention being diverted to other critical incidents. Future research should utilize eye-tracking to assess the relationship between severity and monitoring.
Investigation of a complex simulation model of plant growth . I . 1 Sensitivity analysis reveals simple meteorological trends 2 3

13 This paper demonstrates methodology for a form of sensitivity analysis used to assess a 14 complex computer simulation model of plant growth in order to determine the relationship 15 between a particular response and its principal drivers. This is the first step in the 16 development of simple statistical models that accurately emulate this outcome of the 17 computer simulation model using only these associated principal drivers as inputs. It also has 18 value in its own right, in that it reveals essential features of how relationships between the 19 response of interest and its principal drivers are modelled in the simulation, which leads to a 20 better conceptual understanding of the simulation model and may also reveal its limitations. 21 To illustrate this methodology, the Agricultural Production Systems sIMulator (APSIM) 22 was used and relationships between meteorological and soil type input data and biomass 23 production for the perennial pasture species lucerne (Medicago sativa) were examined. It was 24 hypothesised that, despite the underlying complexity of the APSIM model, this examination 25 would reveal clear and relatively simple relationships between the principal drivers and the 26 resulting production, which would be suitable for constructing emulators. The examination 27 * Corresponding author: Tel: +61-8-6488-2206; fax: +61-8-6488-1108; email: ramanp01@student.uwa. edu.au
Comparative Contents of Minerals and Dietary Fibers in Several Tropical Seaweeds

Nine species of Indonesian green, brown and red seaweeds were used in this experiment to study the distribution and contents of minerals and dietary fibers. The contents of macro and micro minerals were detected by atomic absorption spectrophotometer and inductively coupled argon plasma emission spectrometer, respectively; whereas dietary fibers were determined according to modified enzymaticgravimetric method. The contents of macro mineral were dominated by Ca, K, Na and Mg, with values range were 11.95 – 28.31, 0.30 – 27.92, 0.66 – 25.74, 2.31 – 21.52 mg/g dry weight, respectively; whereas microminerals Cu, Fe and Zn were found in low concentration. The highest and smallest content of soluble dietary fiber were found in Kappaphycus alvarezii and Halimeda macroloba, respectively. K. alvarezii also had the highest content of total dietary fiber and percent soluble dietary fiber against total dietary fiber, whereas Ulva reticulata had highest content of insoluble dietary fiber. Keywords: dietary fiber, Indonesia, mineral, seaweed
Field-effect control of single-molecule , carbon-based 1 thermoelectric nanodevices

Pascal Gehring,1∗ Jean Spièce, Achim Harzheim, Yuewen Sheng, Gregory Rogers, Aadarsh Mishra, Benjamin Robinson, Kyriakos Porfyrakis, Jamie H. Warner, Oleg Kolosov, G. Andrew. D. Briggs, Jan A. Mol Department of Materials, University of Oxford, 16 Parks Road, Oxford OX1 3PH, UK Physics Department, Lancaster University, Lancaster LA1 4YB, UK Materials Science Institute, Lancaster University, Lancaster, LA1 4YW, UK ∗To whom correspondence should be addressed; E-mail: pascal.gehring@materials.ox. ac.uk. 3
Critically Literate Citizenship: Moments and Movements in Second Grade

With renewed emphasis on civic education in K–12 schools, educators and politicians call for young people to engage in civic action. Worth considering are the kinds of ideas taken up, the performances deemed critical enough, and actions recognized in schools as civic engagement. Drawing from a case study of second graders in New York City (NYC), I move away from hypervisible expressions of civic participation to show how children take up critical literacy and civic action through everyday, ordinary moments. Beyond public displays of social action, how do we build up critically literate citizens who question, disrupt, and engage civically in their daily lives? Highlighted throughout this article are children’s questions, inquiries, and tensions around diverse identities and practices (e.g., religion, race, gender, politics). In centering children’s political agendas, I argue that the production of civic engagement is lived out in the curricular, conversational, and playful moments leading up to social movements.
Raman Spectroscopy Study of Annealing-Induced Effects on Graphene Prepared by Micromechanical Exfoliation

In this note, we report a Raman spectroscopy study of annealing-induced effects on graphene samples prepared by the microexfoliation method. It was shown that randomly located adhesive residues often contaminate nearby graphene sheets during thermal annealing. The contamination on graphene can be as thin as ~1 nm, but gives several new Raman bands of unusually strong intensity. We also find that their intensity is strongly dependent on the excitation wavelength implying that graphene-induced Raman enhancement may be operative. The current study also suggests that graphene can be selectively sensitive towards certain molecular species in binding, which can be exploited for interesting application.
Hydrodesulfurization of dibenzothiophene using NiMoWS catalysts supported on Al–Mg and Ti–Mg mixed oxides

Abstract In this work, two series of trimetallic NiMoW sulfide catalysts supported on Al–Mg(x) and Ti–Mg(x) mixed oxides with different content of MgO (x = 5, 10, 15 and 20 wt.% of MgO) were synthesized. The mixed oxides and catalysts were characterized by X-ray diffraction (XRD), Fourier-transform infrared (FT-IR) spectroscopy, N2 physisorption and Diffuse reflectance spectroscopy (DRS UV–Vis); and evaluated during the hydrodesulfurization (HDS) of dibenzothiophene (DBT) reaction. The NiMoW/Al–Mg catalysts showed a higher dispersion of Ni, Mo and W species than NiMoW/Ti–Mg catalysts resulting in higher catalytic activities. Catalysts with 10 wt. % of MgO showed the highest catalytic activity for both series of catalysts. Most of the synthesized catalysts exhibited higher activities than NiMoWS/Al–Ti reference catalyst. The present comparison study clearly showed that NiMoW/Al–Mg and NiMoW/Ti–Mg catalyst with 10 wt. % of MgO might be a promising and effective catalyst for the HDS-DBT reaction.
MOLECULAR CHARACTERIZATION OF WHEAT GENOTYPES (TRITICUM AESTIVUM L.)

Molecular diversity in thirty wheat genotypes was done. For this the genomic DNA isolation was carried out and which were then subjected to PCR amplification using twenty SSR primers. Out of these twenty SSR primers, eighteen yielded amplifications and showed polymorphism. Total 93 loci were generated by amplification with 18 polymorphic primers, all of which 93 loci were polymorphic i.e. 100%. Among the SSR primers, BARC-170, WMC-44, produced maximum number of 2 loci. The size of amplification products ranged from 102 bp to 805 bp. All SSR primers showed 100 % polymorphism and all primers had more than 0.50 PIC value except one primer. Maximum PIC value 0.17 was observed in WMC-468. The maximum number of bands were observed in NIAW-2721 (28 bands), whereas minimum number of bands were present in NIAW-301 and NIAW-2539 (19 bands). The dice similarity coefficient values ranged from 0.50 to 0.95. Maximum similarity value of 0.95 was noticed between NIAW-2891 and NIAW-2837, while minimum similarity value of 0.50 was observed among NIAW-2595, NIAW-2874, NIAW-2995 and NIAW-2725. The consensus tree software revealed two major clusters.
Do Institutional Investors Know Banks Better? Evidence From Institutional Trading Surrounding the 2008 Financial Crisis

The catastrophic economic damage caused by the 2008 financial crisis was unprecedented and caught many market participants by surprise. It raises the question: To what extent do institutional investors play a monitoring role in the banking industry? In this article, we investigate this underresearched area and provide evidence that gray institutions (i.e., banks and insurance companies) have more information about banks’ risk exposure to securitization than independent institutions do (e.g., investment companies and public pension funds) as gray institutions shied away from banks holding more private-label mortgage-backed securities or issuing riskier securitization deals before the crisis. We also find that the trading of gray institutions before the crisis can predict high-exposure banks’ abnormal returns around the Lehman Bankruptcy and subsequent 1-year stock performance. The trades of gray institutions are also significant and positively related to such banks’ operating performance during the crisis period.
Towards an Integrated Model of Customer Religiosity: A Self-Determination Theory Perspective

Abstract Purpose: Drawing on self-determination theory (SDT), this article aims to examine the impact of customers’ intrinsic and extrinsic religiosity on purchase intentions for luxury brands. Moreover, this study delves into the moderating effect of customer brand loyalty in these relationships. Methodology: To this end, we tested our hypotheses with a student sample (N = 169) from Pakistan. Ex ploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM), and moderation analysis techniques were used to analyze the data using SPSS 24.0 and AMOS 24.0. Findings: The results of data analysis indicated that a customer’s purchase intention for luxury brands is significantly influenced by extrinsic religiosity, while intrinsic religiosity has trivial influence in boosting purchase intention for a luxury brand. Our results for moderation analysis further show that customer purchase intention for a luxury brand is reinforced by intrinsic religiosity when customer brand loyalty is high but not when customer brand loyalty is low, whereas purchase intention for a luxury brand is fortified more by extrinsic religiosity when customer brand loyalty is low than when customer brand loyalty is high. Research Limitations: As with any set of cross-sectional studies, our research is not without limitations. For instance, the sample size in the current study is purposefully small. This limits the generalizability of findings across a wider population. Implications/originality/value: This study has provided a framework to explain how customers’ intrinsic and extrinsic religiosity affected the purchase intentions of luxury brands in the emerging market.
Weighted Nuclear Norm Minimization Based Tongue Specular Reflection Removal

In computational tongue diagnosis, specular reflection is generally inevitable in tongue image acquisition, which has adverse impact on the feature extraction and tends to degrade the diagnosis performance. In this paper, we proposed a two-stage (i.e., the detection and inpainting pipeline) approach to address this issue: (i) by considering both highlight reflection and subreflection areas, a superpixel-based segmentation method was adopted for the detection of the specular reflection areas; (ii) by extending the weighted nuclear norm minimization (WNNM) model, a nonlocal inpainting method is proposed for specular reflection removal. Experimental results on synthetic and real images show that the proposed method is accurate in detecting the specular reflection areas and is effective in restoring tongue image with more natural texture information of tongue body.