Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants of Attitudes Toward the Scientific Community: Confidence in the Press as a Mediator of Political Party Affiliation

Drawing on 10 sets of data gathered in the General Social Survey between 2000 and 2018, this study examined whether confidence in the press mediated political party affiliation as a determinant of attitudes toward the scientific community. The study observed full mediation effects in three of five instances in which Republicans occupied the White House, with partial or no mediation observed at other points. Overall findings showed that males, White respondents, and those who had completed more years of school, as well as Democrats and those who indicated higher levels of confidence in the press, tended to report greater levels of confidence in the scientific community. The study discusses quantitative results in light of increased partisanship and derisive attacks on news media.
Transfer learning‐based radar imaging with deep convolutional neural networks for distributed frequency modulated continuous waveform multiple‐input multiple‐output radars

Deep ‐ learning ‐ based radar imaging is developed with distributed frequency modulated continuous waveform multiple ‐ input multiple ‐ output (FMCW MIMO) radars in which a deep ‐ learning approach based on the convolutional neural network (CNN) is proposed to achieve radar images robust to adverse circumstances. Differently from the existing deep ‐ learning methods applied to radar object recognition, the deramped radar signal is exploited as the input of the proposed deep CNN (DCNN) without any processing related to the spectrogram transform and the subspace decomposition. To effectively train the proposed DCNN, the received signal is reformulated in terms of the reflection gain values in the (azimuth, range) patches in the image region of interest such that the output vector of the DCNN is composed of the reflection gain values in the associated patches. Furthermore, to overcome the limitations on the amount of training data and training time, the transfer learning approach is effectively applied to the distributed FMCW MIMO radar imaging. The proposed radar imaging is assessed with synthetic simulation data. Specifically, by transferring the pretrained DCNN model for a given reference radar to other distributed radars, the distributed radars can save about 52.4 % in training time compared with a DCNN having the same architecture but without
The Effects of Red Clover Seed Treatment with Cold Plasma and Electromagnetic Field on Germination and Seedling Growth Are Dependent on Seed Color

This study aimed to estimate the effects of cold plasma (CP) and electromagnetic field (EMF) treatment of red clover (Trifolium pratense) seeds with different coat colors on germination kinetics, the content of seed phytohormones, and the growth of seedlings. Seeds of red clover cultivar ‘Arimaiciai’ were treated with radio-frequency EMF or capacitively coupled low-pressure CP for different durations. There were no differences in germination kinetics between yellow, brown, and dark purple seeds in control, but the germination rate of seeds treated with CP and EMF depended on seed color: The germination of yellow seeds was stimulated stronger compared to dark purple and brown seeds, and EMF did not stimulate germination in brown seeds. The content of phytohormones in control seeds and the shift in their amount induced by seed treatments were also strongly dependent on seed color. No relationship was found between the effect on germination kinetics and changes in phytohormone levels. In the control, seedlings growing from the yellow seeds were heavier, and the number of root nodules was 12.5 times larger compared to seedlings of dark purple seeds. Seed treatments with CP and EMF significantly increased the number of root nodules, and this effect was stronger in seedlings from dark purple seeds compared to those from yellow seeds.
Biochemical characterization of pink husked coconut types

Coconuts with various traits are available in different coconut growing countries. The pink husk is one such trait that has already been reported in coconut. There is a demand for tender nut water from pink husked types of coconut to treat hepatitis by traditional medicins practitioners. Studies were carried out to characterize pink husked types identified in Guam Tall variety of coconut. There were no morphological differences with respect to the nut characters between pink and non-pink husked types. Biochemical characterization of pink husked types revealed significantly higher total phenol content in the tender nut water of pink husked types than normal husked types. A significantly higher protein content of 86 mg 100 mL-1 was noted in pink husked type, compared to normal husked type with 58.7 mg 100 mL-1. Higher free radical scavenging activity based on DPPH assay with pink husked type was recorded with an IC50 value of 266.7 compared to normal type with an IC50 value of 358. Similarly, phosphomolybdate assay also revealed higher scavenging activity of pink husked type based on the IC50 value of 415.2 compared to 637.9 observed in normal husked type. Anthocyanin content of 25.97 mg 100g-1 fresh weight was noted in the exocarp of pink husked types, and it was negligible in normal husked type. These results justify the use of pink husked coconuts in various traditional medicines. There is tremendous potential for exploiting pink husked types of coconut in the pharmaceutical industry.
Supplementation of Ex-Situ Biofloc to Improve Growth Performance and Enhance Nutritional Values of the Pacific White Shrimp Rearing at Low Salinity Conditions

Shrimp is an important food source consumed worldwide. An intensive aquaculture system with overuse of feed in combination with detrimental effects from climate change are serious problems leading to mass mortality of cultured shrimp. Biofloc technology is an approach to managing water quality and controlling the disease to counter the negative side of intensive culture system; however, most of the biofloc applications are naturally formed, which could be inconsistent. In this study, we employed an established optimal ratio of microbial consortium called “ex-situ biofloc (BF)” to be used as a feed supplement in shrimp cultured in a zero-water discharged system at low salinity conditions. Three feeding groups (100%commercial pellet (C), 95%C+BF, 90%C+BF) of shrimp were cultured for six weeks. The effect of an ex-situ biofloc supplement with commercial pellet reduction showed that levels of ammonium, nitrite, nitrate and phosphate were significantly decreased in water culture. Shrimp fed with ex-situ biofloc supplement with commercial pellet reduction exhibited significantly increased shrimp weight and survival, and significantly expressed growth-related genes involving lipolysis and energy metabolism higher than those fed with 100% commercial pellet. Nutritional analysis indicated a significant increase of docosahexaenoic acid (DHA) and eicosenoic acid (C20:1) concentrations in the ex-situ biofloc supplemented shrimp. This finding revealed the potential of ex-situ biofloc to manage water quality, improve shrimp growth performance and enhance shrimp nutritional value under intensive culture at low salinity conditions. The beneficial effects of the ex-situ biofloc in shrimp culture system make it a promising alternative strategy to mitigate climate change effects leading to the sustainable production of high-quality shrimp in the future.
DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks

A structure-based drug design pipeline involves the development of potential drug molecules or ligands that form stable complexes with a given receptor at its binding site. A prerequisite to this is finding druggable and functionally relevant binding sites on the 3D structure of the protein. Although several methods for detecting binding sites have been developed beforehand, a majority of them surprisingly fail in the identification and ranking of binding sites accurately. The rapid adoption and success of deep learning algorithms in various sections of structural biology beckons the usage of such algorithms for accurate binding site detection. As a combination of geometry based software and deep learning, we report a novel framework, DeepPocket that utilizes 3D convolutional neural networks for the rescoring of pockets identified by Fpocket and further segments these identified cavities on the protein surface. Apart from this, we also propose another data set SC6K containing protein structures submitted in the Protein Data Bank (PDB) from January 1st, 2018, until February 28th, 2020, for ligand binding site (LBS) detection. DeepPocket's results on various binding site data sets and SC6K highlight its better performance over current state-of-the-art methods and good generalization ability over novel structures.
Exploring the conditions for strategic planning in nonprofit community sport

ABSTRACT Leaders of community sport organizations (CSOs) may use strategic planning to navigate complex pressures, allocate resources and establish a plan of action to meet their mandate. This study draws on institutional theory and a framework of receptive contexts for strategic change to examine the conditions (contextual factors and managerial actions) that influence strategic planning in CSOs. A multiple-case study of six CSOs provided rich detail about how CSOs’ environments shape their decision-making processes and influence strategy. Findings revealed that environmental pressures, including a club’s community profile, inter-club competition and the expectations of governing bodies, influenced strategic planning in CSOs. Other critical conditions included a supportive organizational culture and organizational capacity. Findings also highlighted the isomorphic pressures that CSO leaders respond to and resist through strategic planning. While findings of the current study are consistent with the broad features of receptive contexts related to environmental pressure, supportive organization culture and key people leading change, the subthemes in the current study provide new insight into, and justification for, contextualized approaches to strategic planning. The research provides important insight for CSO leaders to consider when using strategic planning to increase membership, address contemporary challenges and achieve long-term goals. HIGHLIGHTS Strategic plans articulate organizational goals, issues and relevant action steps. Contextual factors and managerial actions influence strategic planning in community sport organizations (CSOs). One condition that influenced strategic planning was environmental pressure (i.e., a club’s community profile, inter-club competition, expectations of governing bodies). Strategic planning is also influenced by a supportive organizational culture and organizational capacity. Understanding the conditions that support strategic planning can help CSOs to achieve membership growth and navigate complex pressures.
Growth and gas exchange of purple basil submitted to salinity and foliar nitrogen fertilization

Abstract Basil is a medicinal and spice plant widely used in the Northeast region of Brazil. However, its production can be affected by the soil salinity and water used for irrigation. For the development of plants in saline conditions to occur, it is necessary that their nutritional status is adequate. Thus, the objective was to evaluate the effect of nitrogen fertilization on growth and gas exchange of purple basil submitted to salinity. The experiment was performed at the Federal University of Paraíba, adopting a randomized block design in an incomplete 5 x 5 factorial scheme, with five electrical conductivities (ECw = 0.0, 0.81, 2.75, 4.69 and 5.50 dS m−1) and five doses of nitrogen (N = 0.00, 58.58, 200.00, 341.42 and 400.00 mg L−1), generated through the central composite design. Plant height, number of leaves, stem diameter, leaf area and root length were evaluated at 45 days. Stomatal conductance, net CO2 assimilation rate, transpiration, water use efficiency, intrinsic water use efficiency, intrinsic efficiency of carboxylation and leaf temperature were evaluated. The data were analyzed through analysis of variance and regression. Foliar N fertilization attenuated the harmful effect of salt stress, increasing stem diameter, net CO2 assimilation rate, intrinsic efficiency of carboxylation and leaf temperature. Salinity reduced the growth of basil plants as the ECw rised. Gas exchange was stimulated by salinity and reduced by the foliar N fertilization. The number of leaves and leaf area increased with nitrogen fertilization.
Blue-Green Playscapes: Exploring Children’s Places in Stormwater Spaces in Augustenborg, Malmö

The urbanisation of cities increases the demands on, and complexity of, urban land use. Urban densification is challenging urban green space. Cities have responded to this challenge by adopting a multiple-use strategy where different functions share space. Shrinking open space has to contain solutions for everyday functions such as bicycle parking, waste sorting, blue-green stormwater systems, and playscapes. Values and functions that can reinforce and amplify each other are therefore of interest to study. The present article explores the possibilities for blue-green solutions (BGS) to be used as part of children’s playscapes. BGS are aboveground, ecological stormwater facilities, introduced to prevent flooding and support biodiversity while adding recreational and aesthetic qualities to the urban environment. The objective is to discuss the extent to which ecological and social values can reinforce each other in terms of encouraging children to engage with BGS natural elements. The researchers have studied the Augustenborg residential neighbourhood in Malmo. The area was primarily investigated through a postal survey, which identified a remodelled park with a floodable sunken lawn as a potentially attractive area for children’s activities. The park was analysed as a potential playscape and supported by on-site observations. The study shows that even if BGS largely meet children’s play values, due to existing socio-spatial structures, children are not using the offered play features. The article discusses the results in terms of how stormwater management may enhance the actualisation of play potentials in children’s everyday living environment.
Vision-Text Time Series Correlation for Visual-to-Language Story Generation

SUMMARY Automatic generation of textual stories from visual data representation, known as visual storytelling, is a recent advancement in the problem of images-to-text. Instead of using a single image as input, visual storytelling processes a sequential array of images into coherent sentences. A story contains non-visual concepts as well as descriptions of literal object(s). While previous approaches have applied external knowledge, our approach was to regard the non-visual concept as the semantic correlation between visual modality and textual modality. This paper, therefore, presents new features representation based on a canonical correlation analysis between two modalities. Attention mechanism are adopted as the underlying architecture of the image-to-text problem, rather than standard encoder-decoder models. Canonical Correlation Attention Mechanism (CAAM), the proposed end-to-end architecture, extracts time series correlation by maximizing the cross-modal correlation. Extensive experiments on VIST dataset (http: // visionandlanguage.net / VIST / dataset.html) were conducted to demonstrate the e ﬀ ectiveness of the architecture in terms of automatic metrics, with additional experiments show the impact of modality fusion strategy.
A Critical Analysis of Interventions for Women Harmed by Others’ Gambling

At present, gambling studies literature has multiple understandings of family and others affected (FAOs) by gambling harm and their support needs in play, each with different possibilities and constraints for harm reduction engagement with women. Individual psychological approaches have been privileged, eschewing the social and relational situation of gambling and harm in women’s lives. In Australasia, the majority of those seeking support in relation to a significant others’ gambling are women. Gender has been posited as a shaping force in the social stratification system, distribution of resources, and gambling and harm within society. There has been minimal engagement with the lived experiences of FAOs, which limits gambling harm reduction service development and planning. This research critically engaged with gambling harm reduction studies for FAOs, alongside interviews with eight women FAOs who presented to community services from a social constructionist perspective. The aim was to provide insight into how women FAOs position themselves and their support needs in relation to gambling harm and recovery. Data was analysed using thematic analysis informed by feminist poststructuralist theories of language. Results suggested that this small group of women were subject to intersecting patriarchal constraints and economic determinants of gambling harm. Powerful normative and moral constructions of ‘good/bad’ mothers operated to individualise some women’s responsibility for addressing harm in families and to alienate these women from gambling support services. These findings suggest that gambling services must support women and families in ways that go beyond personal functioning, extending into the social and political conditions of possibility for harm and recovery. Critical psychology and coherent gender analysis may offer opportunities to expand the role of gambling support to include advocacy, community development, and more client-led and gender-aware practice with women affected by gambling harm.
Growth Opportunities Utilization Inter-Industry

Inter-industry has various capital structures to take advantage of growth opportunities due to agency differences and information asymmetric problems. This research aims to analyze: (1) the differences in leverage between industries; (2) the impact of shareholders-debtholders conflict and information asymmetric on growth opportunities. The findings show that there are differences in leverage between industries. However, they are relatively stable and not excessive for assets to prevent conflicts between managers and shareholders and debtholders. Equity is also not used to utilize growth because it is used to reduce the discretionary power (dilution) of shareholders. As a result, the use of opportunities and growth is limited.
Risk Factors of Diabetes Mellitus in Urban Communities in Indonesia (IFLS 5)

Background: Over the last decades, the number of new diabetic cases and the prevalence of diabetes have tended to increase. The diabetes prevalence rate in Indonesia in 2020 reached 6.20%. Purpose: The aim of this study is to examine the relationship between the variables of age, level of education, smoking status, and Body Mass Index (BMI) and the prevalence of diabetes in the urban areas. Methods: This was a cross-sectional study and used secondary data from the Indonesia Family Life Survey (IFLS 5) in 2015. The data was analyzed using descriptive analysis and simple logistic regression. The dependent variable in this study was Diabetes Mellitus (DM); the independent variables were age, education level, smoking status, and BMI. Results: In terms of the respondents’ characteristics, individuals were mainly over 35 years of age (130 respondents, 83.87%). The highest level of education was attained by 93 respondents (60.00%). There was a correlation between respondents who were over 35 years of age, with p=0.01; prevalence ratio (PR)=5.60; 95%Cl=3.64–8.62) and the level of education (p=0.01; PR=1.69; 95%Cl=1.22–2.34) with the incidence of diabetes in urban areas in Indonesia. There was no correlation between the smoking status (p=0.55; PR=0.67; 95%Cl=0.01–2.73) and the BMI of respondents with the prevalence of diabetes in urban areas in Indonesia. Conclusion: The age and the level of education were linked to the incidence of diabetes in urban areas in Indonesia.
How Has Labor Demand Been Affected by the COVID-19 Pandemic? Evidence from Job Ads in Mexico

There is a concern among social scientists and policymakers that the COVID-19 crisis might permanently change the nature of work. We study how labor demand in Mexico has been affected during the pandemic by web scraping job ads from a leading job search website. As in the U.S., the number of vacancies in Mexico declined sharply during the lockdown (38 percent). In April there was a change in the composition of labor demand, and wages dropped across the board. By May, however, the wage distribution and the distribution of job ads by occupation returned to their pre-pandemic levels. Overall, there was a slight decline in specific requirements (gender and age), no change in required experience, and a temporary in-crease in demand for low-skilled workers. Contrary to expectations, opportunities for telecommuting diminished during the pandemic. Using a simple Oaxaca-Blinder decomposition, we find that the variation in the average advertised wage in April is explained more by a higher proportion of low-wage occupations than by a reduction in the wages paid for particular occupations. In sum, we find no evidence of a significant or permanent change in labor demand during the pandemic in Mexico. © 2021, Centro de Investigacion y Docencia Economicas A.C. All rights reserved.
Cancer patients diagnosed with COVID-19 infection: A multicenter retrospective cohort of nine Brazilian cancer centers.

e13600 Background: The COVID-19 infection was declared pandemic in March 2020. Since then, multiple studies have attempted to correlate clinical factors with risk of complications from COVID-19, including cancer. However, cancer patients are underrepresented in clinical trials and the results vary between different cohorts. Methods: We conducted a multicentre retrospective study, based on systematic review of medical records, including nine cancer centers, located in five different Brazilian cities. Patients were diagnosed with COVID-19 through RT-PCR between March 15, 2020 and August 13 , 2020. Poisson regression models were then used to test for an association between clinical characteristics and severity of COVID-19 infections. Results: 102 patients had data collected for analysis, 85 (83.3%) of whom were hospitalized due to complications from COVID-19 infection. The median age was 65.8 years, most were female patients (61.8%) and white (73,5%). 78.4% had a performance status of 0-1, and the most common cancer subtypes were gastrointestinal (30.4%), breast (22.6%) and hematological (13.7%). Almost 40% of population had stage IV disease. Mortality rate for all hospitalized patients was 36.5%, while for those admitted to the ICU it was 68.4%. Key univariable risk factors for mortality included age (RR 1.03), ECOG ≥ 2 (RR 1.83), hypertension (RR 1.72), lung metastasis (RR 1.67), and lymphocytes ≤ 1000 admission (RR 2.40). At the multivariable analysis, the risk factors were also age (RR 1.02), primary lung cancer (RR 2.61), lung metastasis (RR 2.86), and coronary disease (RR 3.76). Conclusions: Despite the high mortality of patients hospitalized with COVID-19, our data are compatible with other cohorts. Cancer patients must be carefully monitored in pandemic periods of infectious diseases.