Miracle-dz/UniFAR-FTUs huggingface dataset:
Gender performance and migration experience of Filipino transgender women entertainers in Japan.

Background: Many unrepresented stories of Filipino transgender migrant workers in Japan are significant in Filipino trans women's struggle for visibility. Aim: This study aims to explore how migration and gender performance influence the gender affirmation of Filipino trans women or transpinay entertainers in Japan. Method: This study draws on a qualitative approach using grounded theory to collect data between 2012 and 2018 through participant observations and semi-structured interviews in Manila, Cebu, and Japan. Through snowball sampling and ties with the LGBTQ community, 14 participants shared their narratives that revolved around their background, gender identity, visa and job application process, entertainment work, and relationships before, during, and after migration. Results: The transpinays' migration experience is influential in their gender affirmation as in Japan and upon their return to the Philippines. The transpinay entertainers migrate to Japan is not solely for economic reasons; they also seek sexual emancipation. Before moving to Japan, they negotiate their gender identity to pass the auditions and apply for an entertainer visa. During their migration, doing and undoing gender is woven into their lives with their intersecting subordinate identities as a Filipino transgender woman and a migrant worker, resulting into an intersectional invisibility. Their entertainer profile as a Filipino transgender woman is an embodiment of gendered performances and ethnicity. Transpinay entertainers returned several times or chose to stay in Japan because they were marginalized in their home country. Conclusion: The transpinay entertainers provide a significant case for highlighting the temporal aspect of their gender performance and migration experience, in which their commitment toward entertainment work transforms over time. The migration experience in Japan indicates a positive outcome in their gender affirmation that does not necessarily lead to gender confirmation surgery.
I am not your metaphor: frames and counter-frames in the representation of disability

Abstract When it comes to disability, powerful ideas are articulated in and circulated through the media. Through framing analysis, this study examines how the media portray disability and people with disabilities in a sample of Flemish print news and entertainment magazines. The study aims to understand the dominant and alternative frames related to disability by scrutinising which aspects of reality are selected, rejected, emphasised or modified in the production of a media text. Participatory analysis of articles from 16 Belgian magazines over one year (n = 184) reveals a number of frames and counter-frames. Results indicate that the media tend to perpetuate and reinforce the stigma of those categorised as disabled as ‘Other’ and disability as one of the most frightful obstructions in one’s life, while counter-frames underlining the notion of persons with disabilities being different but not ‘abnormal’ are relatively absent. Points of interest This study offers insights into dominant and alternative frames related to disability in the Flemish print media. Frames can be described as the angles or perspectives from which a media story is told. Media texts from different media magazines were analysed by means of a framing analysis. The research reported here was ‘inclusive’ research, thereby combining and equally valuing experiential knowledge as well as academic knowledge from different contexts and disciplines. In this article, an inventory of dominant frames was developed, together with alternative counter-frames that may offer ‘new’ perspectives regarding disability. This type of research covers academic research in the intersecting fields of Media Studies and Disability Studies, and makes a contribution on both an empirical and a methodological level.
U.S. Robots and Their Impacts in the Tropics: Evidence from Colombian Labor Markets

Previous studies for developed countries show negative short-run impacts of automation on employment and earnings. In this paper, we instead examine whether automation by a key trading partner can hurt workers in a developing country. We specifically focus in Colombia’s labor market, and how the automation in the U.S. impacts Colombian workers by replacing exports from Colombia for cheaper robot-made U.S. products. We use employer-employee matched data from the Colombian social security records combined with data on U.S. exposure to robots in different sectors from 2011 to 2016 to examine if robots in the U.S. are displacing workers in Colombia. We find that U.S. robots decrease employment and earnings for Colombian workers in those sectors of local labor markets that have high levels of automation -measured as robots per thousand workers- in the U.S. labor market. In terms of turnover, as expected, there is an increase in dismissals and a decrease in hires for workers in sectors highly impacted by robots in the U.S. Moreover, the negative displacement effects of robots are greater for women; older workers; workers employed in small and medium sized enterprises, and workers employed in manufacturing. Importantly, local labor markets which exported the most to the U.S. in the past, are also the most affected by the increased adoption of U.S. robots, suggesting that Colombian workers may be losing employment to automated jobs reshored back to the U.S. Our estimates suggest that during our period of analysis, the adoption of robots in the U.S. led to a cumulative loss of between 63,000 and 100,000 jobs in Colombia.
Geographically Weighted Regression to Explore Spatially Varying Relationships of Recreation Resource Impacts: A Case Study from Adirondack Park, New York, USA

Empirical studies based on spatial explorations have played a critical role in understanding dynamics of recreation resource impact and recovery at multiple scales. However, little research has been done to examine spatially varying relationships between resource conditions and associated geospatial variables, especially using a predictive modeling approach. The primary purpose of this study was to explore spatially varying relationships of recreation resource impacts by using a geographically weighted regression (GWR) model. Specifically, the study was designed to compare the GWR with an ordinary least squares (OLS) multiple linear regression model to better understand localized spatial variations with roadside campsite conditions in Adirondack Park, NY, USA. Geospatial variables contained in the OLS model explained approximately 22% of the variance in campsite conditions (adjusted R2 = 0.220, p < 0.001). Statistically significant predictors of the campsite condition at the global scale included site circumference, distance from water resource, distance from major road, distance from hosting forest road, and slope. Non-significant variables included site designation, distance from recreational trail, and elevation. The subsequent analysis using the GWR model resulted in adjusted R2 values ranging from 0.198 to 0.271 (mean = 0.221). Roadside campsites located in the northern region of the park exhibited relatively higher R2 values, and roadside campsites located in the southern region exhibited relatively lower R2 values. All of the statistically significant global variables showed spatially varying relationships with the campsite condition. Additionally, elevation and site designation factors in the GWR model, which were non-significant variables at the global scale, suggested localized spatial variations with the campsite condition. Overall, the GWR model provided a more robust examination of campsite condition by accounting for localized spatial variations and by improving the model performance. This paper provides a discussion of the methodological and resource management implications of these findings.
Residential proximity to major roads and fecundability in a preconception cohort

Supplemental Digital Content is available in the text. Background: Emerging evidence from animal and human studies indicates that exposure to traffic-related air pollution may adversely affect fertility. Methods: Among 7,342 female pregnancy planners from the United States and 1,448 from Canada, we examined the association between residential proximity to major roads and fecundability, the per-cycle probability of conception. From 2013 to 2019, women 21–45 years old who were trying to conceive without fertility treatment completed an online baseline questionnaire and follow-up questionnaires every 8 weeks for up to 12 months or until pregnancy. We geocoded residential addresses reported at baseline and during follow-up, and calculated distance to nearest major roads and length of major roads within buffers of 50, 100, 300, and 400 meters around the residence as proxies for traffic-related air pollution. We used proportional probabilities regression models to estimate fecundability ratios (FRs) and 95% confidence intervals (CIs), adjusting for individual- and neighborhood-level characteristics. Results: In the United States, the FR comparing women who lived <50 meters with those who lived ≥400 meters from the closest major road was 0.88 (95% CI = 0.80, 0.98). The association among Canadian women was similar in magnitude, but less precise (FR = 0.93; 95% CI = 0.74, 1.16). Likewise, length of major roads within buffers of 50 and 100 meters was associated with lower fecundability in both countries; associations were attenuated within larger buffers. Conclusions: These results are consistent with the hypothesis that traffic-related air pollution or other near-road exposures may adversely affect fecundability.
Are you part of the crowd? The role of sex and environmental characteristics for crowdfunding awareness

ABSTRACT Crowdfunding has become an alternative source of financing for entrepreneurial new ventures and social projects. While identifying and “tapping the right crowd” of backers has been shown to be crucial for the success of crowdfunding campaigns, we still lack a basic understanding of why individuals become backers in the first place and why so many others do not. Building on information processing theory, we advance crowdfunding awareness as an important precedent to actual engagement as a backer. We hypothesize and—using a sample of 1,042 individuals in Flanders (Belgium)—show that individuals’ crowdfunding awareness depends on whether they are male or female, as well as on the (perceived) socioeconomic environment they are in. Furthermore, our findings suggest that women tend to derive their crowdfunding awareness to a larger extent from these environmental characteristics than men. These results have important implications for theory and practice.
An emerging market perspective of what makes professional service firms successful

Purpose Despite the criticality of strategic partnerships to the survival and success of professional service firms (PSF) in emerging markets, there is a dearth of research on the subject matter. Specifically, not much is known concerning the dynamics of partnerships among small and medium-sized enterprises (SMEs) in the professional services sector of the economy. This paper aims to explore the dynamics of the impact of constructs such as attributes of partnership, communication behaviour and collaborative conflict resolution on partnership success. Design/methodology/approach A quantitative survey sent to 300 small and medium-sized PSFs achieved a 79% response rate. The data is then analysed using bivariate and multi-variate techniques. Findings The results revealed a positive relationship between two of the three constituents of attributes of the partnership (i.e. commitment and coordination) and the success of partnerships. Commitment and coordination emerged as the significant attributes of partners that affect the success of the partnership. Contrary to previous studies, trust and information sharing did not have a positive impact on partnership success. Practical implications PSFs in emerging markets need concerted efforts to maintain competitive and sustainable partnerships. To make any significant impact, they must develop contemporary skills in collaborative conflict management. Originality/value This paper highlights the need for PSFs and SMEs in other service sectors of emerging markets to harness partnerships as a valuable tool to overcome the policy shortcomings of current regulatory frameworks within their respective markets.
The near‐infrared spectrum of solid CH4

The infrared absorption spectrum of CH4 from 4000 to 12 000 cm−1 has been first studied in the solid phases I and II. More than forty overtone and combination bands, up to the sixth order, have been observed. Some of them are weaker by a factor of ≊105 than the infrared fundamentals. The bands have been assigned on the basis of their frequency, structure, and intensity. Features that can be attributed to propagating vibrons have been observed. The rotovibrational lines of molecules at Oh sites of phase II have been resolved in a few bands, and their relative intensities are in excellent agreement with the predictions of the extended James and Keenan model. The results reported here may help to analyze more complicated spectra, as those of CH4 in planetary atmospheres.
arXiv : MARTY -- Modern ARtificial Theoretical phYsicist A C++ framework automating symbolic calculations Beyond the Standard Model

Studies Beyond the Standard Model (BSM) will become more and more important in the near future with a rapidly increasing amount of data from different experiments around the world. The full study of BSM models is in general an extremely time-consuming task involving long and difficult calculations. It is in practice not possible to do exhaustive predictions in these models by hand, in particular if one wants to perform a statistical comparison with data and the SM. Here we present MARTY (Modern ARtificial Theoretical phYsicist), a new C++ framework that fully automates calculations from the Lagrangian to physical quantities such as amplitudes or cross-sections. This framework can fully simplify, automatically and symbolically, physical quantities in a very large variety of models. MARTY can also compute Wilson coefficients in effective theories. This will considerably facilitate the study of BSM models in flavor physics. Contrary to the existing public codes in this field MARTY aims to give a unique, free, open-source, powerful and user-friendly tool for high-energy physicists studying predictive BSM models, in effective or full theories up to the 1-loop level, which does not rely on any external package. With a few lines of code one can gather final expressions that may be evaluated numerically for statistical analysis. Features like automatic generation and manual edition of Feynman diagrams, comprehensive manual and documentation, clear and easy to handle user interface are amongst notable features of MARTY.
MR-Based Electrical Conductivity Imaging Using Second-Order Total Generalized Variation Regularization

Electrical properties provide essential information for cancer detection and specific absorption rate (SAR) estimation. Magnetic resonance electrical properties tomography (MREPT) is an approach to retrieve the distribution of electrical properties. The conventional method suffers from the locally homogeneous assumption and amplification of noise. In this study, a novel approach was introduced to improve the accuracy and the noise robustness of conductivity imaging. The proposed approach reformulated the central equation of the gradient-based method to avoid the calculation of the Laplacian operator. The equation was regularized using the second-order total generalized variation, which formulates an objective function. The optimization problem was solved by the alternating direction method of multipliers (ADMM) method. The proposed method was validated by the simulation data of the cylindrical phantom and Ella head model, and the performance was compared with existing methods. The results demonstrated that the proposed method reconstructed an accurate conductivity image and alleviated the noise effects. Furthermore, phantom and healthy volunteer experiments were implemented at a 3 Tesla (T) magnetic resonance imaging (MRI) scanner. The results suggested that the developed method can provide solutions for improved conductivity reconstruction and show potential for clinical application.
“Make no little plans”: Impactful research to solve the next generation of transportation problems

The transportation science research community has contributed to numerous practical and intellectual innovations and improvements over the last decades. Technological advancements have broadened and amplified the potential impacts of our field. At the same time, the world and its communities are facing greater and more serious challenges than ever before. In this paper, we call upon the transportation science research community to work on a research agenda that addresses some of the most important of these challenges. This agenda is guided by the sustainable development goals outlined by the United Nations and organized into three areas: (1) well‐being, (2) infrastructure, and, (3) natural environment. For each area, we identify current and future challenges as well as research directions to address those challenges.
The representation of Alistair Maclean’s life as reflected in south by Java Head: a biographical study

This undergraduate thesis research aims to understand and inform the period of World War II experienced by the author Alistair MacLean from a military perspective rather than from a war leader. Because of this, the authors consider this research interesting because it can find the similarity and differences between the novel and Alistair MacLean.The writer applies the biographical approach as the basic of the analysis. The method of this analysis systematically used qualitative methods in compiling this research as the techniques – library data sources, journal article, internet and all books dealing with this research, and the main textual data in South by Java Head. The results of this analysis indicate that in the military life of the war during World War II that seemed disciplined that they made a lifelong commitment to, it turns out there are still those who consciously committed acts of violation; similarity: Japanese Cruelty, Deadly Weapons ect, differences: The Deal Punishment. But there are also some positive knowledge, especially for readers.
Phytophthora Root Rot Resistance and Its Correlation with Fruit Rot Resistance in Capsicum annuum

Phytophthora capsici causes root and fruit rot and foliar blight of pepper. Multiple sources of resistance to Phytophthora root rot have previously been identified, but most display only partial resistance. One source, CM334, has broad spectrum root rot resistance to multiple pathogen isolates but has only low to moderate fruit rot resistance. This study evaluated previously identified pepper lines for resistance to two P. capsici isolates, OP97 and 12889, and compared root rot resistance to fruit rot resistance and genetic structure. CM334 was confirmed as a broad spectrum resistance genotype, whereas all other sources of resistance evaluated were susceptible to infection by one or both isolates evaluated. Although not completely resistant, PI 566811 displayed moderate resistance to fruit and root rot to both P. capsici isolates. Fruit rot resistance had a significant but small to moderate positive correlation (r = 0.26–0.63) with root rot resistance depending on the isolate and length of exposure. Pepper accessions with resistance to Phytophthora root and fruit rot belonging to different genetic subpopulations were identified and could serve as candidates for partial-resistance loci to incorporate into pepper breeding programs.
Recent Achievements and New Research Opportunities for Optimizing Macronutrient Availability, Acquisition, and Distribution for Perennial Fruit Crops

Tree responses to fertilizer management are complex and are influenced by the interactions between the environment, other organisms, and the combined genetics of composite trees. Increased consumer awareness of the environmental impact of agriculture has stimulated research toward increasing nutrient-use efficiency, improving environmental sustainability, and maximizing quality. Here, we highlight recent advancements and identify knowledge gaps in nutrient dynamics across the soil–rhizosphere–tree continuum for fruit crops. Beneficial soil management practices can enhance nutrient uptake and there has been significant progress in the understanding of how roots, microorganisms, and soil interact to enhance nutrient acquisition in the rhizosphere. Characterizing root architecture, in situ, still remains one of the greatest research challenges in perennial fruit research. However, the last decade has advanced the characterization of root nutrient uptake and transport in plants but studies in tree fruit crops have been limited. Calcium, and its balance relative to other macronutrients, has been a primary focus for mineral nutrient research because of its important contributions to the development of physiological disorders. However, annual elemental redistribution makes these interactions complex. The development of new approaches for measuring nutrient movement in soil and plant systems will be critical for achieving sustainable production of high-quality fruit in the future.
Anthropogenic Greenhouse Gas and Aerosol Contributions to Extreme Temperature Changes during 1951–2015

This study conducted a detection and attribution analysis of the observed global and regional changes in extreme temperatures during 1951–2015. HadEX3 observations were compared with multimodel simulations from the Coupled Model Intercomparison Project phase 6 (CMIP6) using an optimal fingerprinting technique. Annual maximum daily maximum and minimum temperatures (TXx and TNx; warm extremes) and annual minimum daily maximum and minimum temperatures (TXn and TNn; cold extremes) over land were analyzed considering global, continental, and subcontinental scales. Response patterns (fingerprints) of extreme temperatures to anthropogenic (ANT), greenhouse gases (GHG), aerosols (AA), and natural (NAT) forcings were obtained from CMIP6 forced simulations. The internal variability ranges were estimated from preindustrial control simulations. A two-signal detection analysis where the observations are regressed onto ANT and NAT fingerprints simultaneously reveals that ANT signals are robustly detected in separation from NAT over global and all continental domains (North and South America, Europe, Asia, and Oceania) for most of the extreme indices. ANT signals are also detected over many subcontinental regions, particularly for warm extremes (more than 60% of 33 subregions). A three-signal detection analysis that considers GHG, AA, and NAT fingerprints simultaneously demonstrates that GHG signals are detected in isolation from other external forcings over global, continental, and several subcontinental domains especially for warm extremes, explaining most of the observed warming. Moreover, AA influences are detected for warm extremes over Europe and Asia, indicating significant offsetting cooling contributions. Overall, human influences are detected more frequently, compared to previous studies, particularly for cold extremes, due to the extended period and the improved spatial coverage of observations.