Miracle-dz/UniFAR-FTUs huggingface dataset:
Archetypes, Me Too, Time’s Up and the representation of diverse women on TV

The feminist movements Me Too and Time’s Up have showcased the power of the audiovisual industry and social networks denouncing sexual harassment and promoting gender equality. Nevertheless, women in the media –and, specifically, on TV– continue to be underrepresented and stereotyped. Then, according to Time’s Up, it is urgent to increase the number of women in front of and behind the cameras, as well as to embed social movements’ influences on media productions in order to broaden the archetypal models used for characters' design/analysis. Despite the benefits of archetypes in storytelling, they are based on patriarchal and ethnocentric myths that undervalue female diversity. In response, this paper explores the transference of these feminist movements in terms of female presence and representation on TV series broadcast in the Peak TV era. From an intersectional approach, 25 feminist series were identified, and good practices in the portrayal of female characters are presented as useful role models for co-education which can contribute to egalitarian attitudes in youth. These female characters amplify typical archetypes (i.e., Knower, Carer, Striver, Conflictor, Everywomen) by defying stereotypes. This study concludes that there is a feminist trend in streaming platforms’ content, especially in series with a high female presence on-screen/off-screen (many of them linked to feminist movements), that sheds light on a more egalitarian and inclusive television landscape. Los movimientos feministas Me Too y Time’s Up han mostrado el poder de la industria audiovisual y las redes sociales para denunciar el acoso sexual y promover la equidad de género. No obstante, las mujeres en los medios –y, específicamente, en TV– siguen estando infrarrepresentadas y estereotipadas. Por ello, como señala Time's Up, es urgente aumentar la presencia femenina delante y detrás de las cámaras, así como integrar las influencias de los movimientos sociales en las producciones para ampliar los modelos arquetípicos utilizados en el diseño/análisis de personajes. A pesar de los beneficios narrativos de los arquetipos, estos se basan en mitos patriarcales y etnocéntricos que infravaloran la diversidad de las mujeres. En respuesta, este estudio explora la transferencia de los movimientos feministas a la presencia y representación femenina en las series emitidas en la era Peak TV. Desde una aproximación interseccional, se identifican 25 series feministas en Netflix y HBO y se presentan buenas prácticas de construcción de personajes femeninos útiles para la coeducación y el desarrollo de actitudes igualitarias en jóvenes. Estos amplían los arquetipos típicos (es decir, Conocedora, Cuidadora, Luchadora, Conflictiva, Cualquier mujer) y desafían los estereotipos. Se concluye una tendencia feminista en el contenido emitido en plataformas streaming, especialmente en series con alta presencia de mujeres delante/detrás de las cámaras (muchas vinculadas a movimientos feministas) que arroja luz sobre un panorama televisivo más igualitario e inclusivo.
Sustainable Cities and Society

This article maps the scientific literature in human mobility behavior in the context of the current pandemic. Through bibliometrics, we analyze the content of published scientific studies indexed on the Web of Science and Scopus during 2020. This enables us the detection of current hotspots and future directions of research. After a co-occurrence of keywords and evidence map analysis, four themes are identified, namely, Land Transport — Operations, Land Transport — Traffic Demand, Air Transport and Environment. We show how air transportation- and environmental-related studies tend to be more mature research whereas the understanding of changes in travel behavior (e.g., telecommuting, preventive measures or health protection behavior) tends to be immature. By using a topic modeling approach, we identify multiple sub-themes within each theme. Our framework adopts a smart literature review approach that can be constantly updated, enabling an analysis of many articles, with little investment of the researcher’s time, but also provides high degree of transparency and replicability. We also put forth a research agenda that can help inform and shape transport policy and practice responses to COVID-19.
Implementation of Blended Learning with A STEM Approach to Improve Student Scientific Literacy Skills During The Covid-19 Pandemic

The Covid-19 pandemic has a positive impact on the blended learning system, especially the synchronous and asynchronous aspects of online learning. This study aims to obtain information about how to apply the blended learning model with the STEM approach to students' scientific literacy skills during the COVID pandemic. The research method used was pre-experiment with one group pretest-posttest design. This research was conducted at SMAN 1 Bojong Gede, Bogor Regency in the academic year 2020/2021. The research sample used two class X which have been selected as purposive sampling. The instrument used in this study was a student science literacy test containing 20 question items. The data processing technique was carried out descriptively by calculating the mean and percentage of each item to obtain a description of the students' scientific literacy skills, then the data were analyzed inferentially with paired sample t-test using SPSS version 22 software, to see differences in scientific literacy before and after blended learning with the STEM approach. The results showed that in general, the average scientific literacy skills of students from the application of the blended learning model with the STEM approach had an average score of 85.50 in the good category. For students to have a better understanding of scientific literacy, students' understanding of science should be continuously trained through the blended learning model with the STEM approach.
Bill size, bill shape, and body size constrain bird song evolution on a macroevolutionary scale

ABSTRACT Studying macroevolutionary patterns of phenotypic variation and their driving forces in large radiations can shed light on how biodiversity is generated across broad spatiotemporal scales. In this study, we integrated song and morphological variation across more than 300 species representing the largest family of songbirds, the tanagers (Thraupidae), to uncover how morphological variables of the vocal tract combine to shape vocal evolution on a macroevolutionary scale. We found that body size correlated with multiple frequency parameters, concurring with past studies that show how body size constrains vocal evolution. Furthermore, bill size predicted multiple frequency and temporal song characters while bill shape was strongly associated with trill rates, suggesting that bill size and shape both constrain distinct elements of avian song independently of body size covariation. Our results demonstrate that the relationship between morphology and song exhibits modular variation when expanded to a macroevolutionary scale. Furthermore, our study emphasizes the need to consider multiple components of the avian vocal tract when exploring the macroevolutionary interplay of morphological traits and acoustic signals. LAY SUMMARY Avian vocalizations vary widely among birds and are associated with multiple aspects of their biology, including mechanisms of sexual selection, habitat acoustics, and avian vocal tract morphology. The avian vocal tract is composed of many internal and external traits, but relatively few studies have disentangled the impact of multiple avian tract components on the evolution of bird song. In this study, we quantify associations between 11 song variables and tarsus length (representing body size), bill size, and bill shape used in courtship displays of tanagers, the largest family of songbirds. We find that both body size and bill morphology (size and shape) are correlated with various aspects of tanager song. Taken together, different components of the avian vocal tract selectively constrain unique aspects of their vocalizations. Future studies could examine internal (e.g., tracheal and syringeal) morphological traits in combination with bill morphology to gain a more comprehensive insight into how different elements of the avian vocal tract shape avian vocalizations.
A Review on Electronics Cooling using Nanofluids

Continuous reduction in the size of the electronics for space limitations with higher processing speed generates high heat flux density from the electronics chips during its operational mode. However, this increased heat flux density causes a major problem for the electronics and leads to the failure of the components if not removed properly. This paper investigates the various cooling techniques especially the liquid cooling system operated with nanofluids-a special kind of fluid with the dispersion of nanometre sized particles. This paper quantifies the various kinds of nanofluids used for electronics cooling along with its thermal performance by targeting on the thermal characteristics such as heat transfer coefficient, thermal resistance, thermal conductance, interface temperature, etc. This paper also quantifies the operation of nanofluids over the various geometries of micro channel heat exchangers that serve as a heat sink for power dissipation from the electronics.
Sailing status recognition to enhance safety awareness and path routing for a commuter ferry

ABSTRACT This paper suggests a framework about how log data are used to develop a classifier to recognise the sailing status of a commuter ferry, which, in turn, serves as a tool of safety awareness. Several sailing scenarios are defined under the expertise’s interpretation based on log data. A classifier is developed by support vector machine algorithm to recognise different scenarios. The classifying precision is getting improved as the database getting larger. Heat maps are drawn statistically to obtain the likelihood site of each sailing status. Contour maps are drawn by interpolation according to heat maps. Based on contour maps, two evaluation items are proposed to reflect the safety level. The safety level term is used for optimising the control. The established classifier has a recognition precision over 96 percent. A path following simulation is executed to verify the effectiveness of the safety level for enhancing sailing safety.
Datta Bhagat’s Routes and Escape Routes and Vijay Tendulkar’s Kanyadaan : Critiquing the Dalit

This article seeks to understand Indian theatre’s take on Dalit politics of our time through a critical reading of two post-independence plays—Datta Bhagat’s Routes and Escape Routes and Vijay Tendulkar’s Kanyadaan. Politically, ‘Dalit’ becomes important only after 1947 in post-independence and post-colonial India or more specifically from the 1970s. In the post-Ambedkar phase of Dalit re/configuration, they begin to self-assert through politics, art, and literature, most effectively and convincingly, only with the rise of Dalit Panthers and in the aftermath of the implementation of Mandal Commission’s recommendation for Other Backward Classes (OBC) reservation. The article tries to examine the fresh critique of the Dalit vis-à-vis the upper caste-centric society, undertaken in this crucial context of reconfiguration and from beyond any traditional parameter of understanding, and map, through the plays, the plurality hidden within the perceived monolith of Dalit consciousness. Consequently, Dalit experiences against the backdrop of their struggle are laid bare, and unfamiliar realities come out to upset our comfortable knowledge about this large segment of Indian society.
Changes in Soil Microbial Community Structure and Functional Genes Following with Different Functional Traits Species Afforestation

Aim Soil microbial community structure and functional genes are critical to the cycling of carbon and nutrients in forest soils. As afforestation practices increasingly promote different functional traits tree species, it becomes critical to understand how they influences soil microbial community structures and functional genes, which directly influence soil biogeochemical processes. Methods We used fungi ITS and bacteria 16S rDNA to investigate soil microbial communities and functional genes in three monoculture plantations consisting of a non-native evergreen conifer (Pinus sibirica), a native deciduous conifer (Larix gmelinii), and a native deciduous angiosperm (Betula platyphylla) to compare with two 1:1 mixed-species plantations (P. sibirica and L. gmelinii, P. sibirica and B. platyphylla). Results The fungal community structure of the conifer-angiosperm mixed plantation was similar to that of the non-native evergreen conifer, and the bacterial community structure was similar to that of the angiosperm monoculture plantation. Fungal communities were strongly related to tree species, but bacteria communities were strongly related to soil nitrogen. Microbial co-occurrence patterns varied according to plantation types and altered soil nutrient cycling. Microbial communities in forest plantations of conifer-angiosperm mixed plantation contribute to soil nitrogen fixation and coniferous mixed plantation contribute to soil carbon fixation. Conclusions Our results provide a comparative study of the soil microbial ecology in afforestation of different functional trains species. This knowledge enhances the understanding of the relative control of soil microbial community structure.
Molecular characterization of extended spectrum cephalosporin resistant Escherichia coli isolated from dogs

Article history: Received May 02, 2020 Accepted June 07, 2020 Available online June 23, 2021 Shepherd dogs have been implemented in the transmission and distribution of many threatening pathogens. The presence of extended-spectrum-cephalosporin resistant Escherichia coli (ESCR E. coli) in dog feces can constitute a significance risk to human health due to transmission of antibiotics resistance from dogs to humans, other animals and the surrounding environment. Therefore, in this study, phenotypic and molecular characterization of fecal ESCR E. coli were investigated in shepherd dogs accompanied sheepherders in urban areas. Sixty-seven fresh fecal samples were collected from shepherd dogs from different regions of Mosul city. Bacteriological examination of ESCR E. coli was done using MacConkey agar with cefotaxime followed by subsequent PCR confirmation of the CTX-M gene using specific primers and molecular characterization using specific primers directed to CTX-M-1, 2 and 9 groups. The results of bacterial examination showed successful confirmation of ESCR E. coli which has been isolated from fecal samples of shepherd dogs 58.2% (39/67). In addition, detection of CTX-M gene was confirmed in 53.7% (36/67) of E. coli isolates. Furthermore, molecular characterization of CTX-M gene revealed the presence of only one genotype belongs to CTX-M-1. However, both of CTXM-2 and CTX-M-9 genotypes were not detected in this study. This study concluded that shepherd dogs have an essential role in carrying and spreading of ESCR E. coli especially in urban regions.
New Insights into the Lake Erie Fault System from the 2019 ML 4.0 Ohio Earthquake Sequence

We present a detailed analysis of the 10 June 2019 ML 4.0 Ohio earthquake sequence, which is the largest earthquake that struck Lake County, northeastern Ohio, since 1986. This sequence is well recorded by local seismic networks, which provides an unprecedented opportunity to understand the local seismotectonics. We utilize a waveform-based cross-correlation method to identify ∼12 times more events than reported by the Advanced National Seismic System (ANSS) Comprehensive Earthquake Catalog: the whole sequence started with several small earthquakes (ML 1–2) beginning 12 March 2019, and the last one occurred ∼1min immediately before the ML 4.0 mainshock; many previously unreported aftershocks (ML 0.3–2.2) are found, which were active for the first week after the mainshock; another major sequence with a 7 December 2019 ML 2.6 mainshock occurred and also started with a few smaller events beginning in mid-November and was followed by its own aftershocks. The relocated seismicity delineates a linear feature, orientation of which is consistent with the resolved focal plane that may correspond to the ruptured fault. Our results highlight that closer monitoring of local seismicity is crucial for understanding the seismotectonics and mitigating future seismic hazard around the southern Great Lakes.
Salicylic Acid-Induced Morpho-Physiological and Biochemical Changes Triggered Water Deficit Tolerance in Syzygium cumini L. Saplings

Fruit tree culture is at the brink of disaster in arid to semi-arid regions due to low water availability. A pot experiment was carried out to analyze whether foliar application of salicylic acid (SA) can improve water stress tolerance in Syzygiumcumini. Saplings were subjected to control (CK, 90% of field capacity, FC), medium stress (MS, 60% of FC) and high stress (HS, 30% of FC) along with foliar application of 0.5 and 1.0 mM of SA. Results showed that soil water deficit significantly decreased leaf, stem and total dry weight, leaf gas exchange attributes and chlorophyll a, b. However, root dry weight and root/shoot ratio increased under MS and HS, respectively. Contrarily, foliar application of SA significantly improved chlorophyll a, b, leaf gas exchange attributes, and dry weight production under soil water deficit. Concentration of oxidants like hydrogen peroxide and superoxide radicals, along with malondialdehyde and electrolyte leakage increased under soil water deficit; however, decreased in plants sprayed with SA due to the increase in the concentration of antioxidant enzymes like superoxide dismutase, peroxidase, catalase and ascorbate peroxidase. Results suggest that the foliar application of SA can help improve water stress tolerance in Syzygiumcumini saplings; however, validation of the results under field conditions is necessary.
Gel filtration chromatography analysis and modeling the process of pullulan depolymerization

Abstract Different fractions of pullulan oligosaccharide can be applied in the synthesis of pharmaceutical active compounds. Thus, the object of this study was to model the depolymerization process of pullulan polysaccharide with the change of pH, temperature and depolymerization time. The samples were analyzed by gel filtration chromatography (GFC). The chromatography separation of polymer fractions was achieved by using a Zorbax PSM-300 HP-SEC column (250×6.2 mm, 5 μm) at a temperature of 25°C. The flow rate of the mobile phase (redistilled water) was 1 cm3 min-1. The fractions were recorded by a refractive index detector. The obtained data were converted by thin plate spline interpolation function into matrixes. By the mathematical processing matrixes, the models of molar mass distribution in the function of pH, temperature and depolymerization time were obtained. The intervals of depolymerization parameters can be defined for obtaining the desirable pullulan oligomers, which have the efficient applications in macromolecule technology.
On the interpretation of diploma wage effects estimated by regression discontinuity designs

Several recent papers employ regression discontinuity (RD) designs to estimate the causal eﬀect of a diploma or similar credentials on wages. I build a model of knowledge acquisition, test-taking and labour market careers that mimics the settings studied in these papers. I show that a positive RD estimate is evidence for information frictions in the labour market, but caution that the relative importance of acquired knowledge and innate talent in the production function cannot be separately identiﬁed. While a positive RD estimate does not reveal whether students study too much or too little compared to the social optimum, the rate at which RD estimates decline with labour market experience indicates the speed of employer learning, a parameter that is critical for the extent of ineﬃciency in study choices. Résumé. Interprétation des eﬀets salariaux d’un diplôme : évaluations par modèles de régression sur discontinuité . Plusieurs articles récents utilisent des modèles de régression sur discontinuité (RD) aﬁn d’évaluer l’incidence salariale d’un diplôme ou de toute autre qualiﬁcation similaire. Ici, j’ai élaboré un modèle relatif à l’acquisition des connaissances, au passage des examens et aux carrières professionnelles dont les paramètres sont calqués sur ceux des RD étudiés dans cet article. Je montre lorsqu’un modèle RD établit positive,
Metazoan diversity and seasonality through eDNA metabarcoding at a Mediterranean long-term ecological research site

Metabarcoding of environmental DNA has provided striking insights into marine microbial diversity. With this approach, we assessed the diversity of metazoan assemblages and their temporal variations at the Long-Term Ecological Research site MareChiara (LTER-MC) in the Gulf of Naples (Mediterranean Sea). The Illumina sequencing of the V4-18S rRNA fragment from 48 surface samples collected from 2011 to 2013 produced a total of 5 011 047 marine metazoan reads. The normalized dataset was generally dominated by copepods (60.3%), followed by annelids (34.7%) mostly represented by the invasive benthic polychaete Hydroides elegans. Non-copepod holoplankton was mainly represented by siphonophores, rotifers, and appendicularians, with occasional mass occurrences of jellyfish. The rest of meroplankton (mainly molluscs, annelids, and anthozoans) showed a high diversity, covering all 11 zooplankton phyla, from Porifera to Craniata. A high number of copepod genera were identified, with seasonal recurrence matching patterns observed in 30 years of studies in the Gulf of Naples. Despite limitations related to the molecular marker resolution and reference dataset, the study provided valuable insights into diversity and seasonal patterns of the whole metazoan assemblage, expanding the knowledge on rare or hardly identifiable taxa and confirming DNA metabarcoding as a powerful approach to be integrated at LTER sites.
Modeling Integrated Impacts of Climate Change and Grazing on Mongolia’s Rangelands

Mongolia contains some of the largest intact grasslands in the world, but is vulnerable to future changes in climate and continued increases in the number of domestic livestock. As these are two major drivers of change, it is important to understand interactions between the impact of climate and grazing on productivity of Mongolia’s rangelands and the livelihoods they sustain. We use a gridded, spatially explicit model, the Rangeland Production Model (RPM), to explore the simultaneous and interacting effects of climate and management changes on Mongolia’s rangeland and future livestock production. Comparing the relative impact of temperature, precipitation, and grazing intensity, varied individually and in combination, we find that climatic factors dominate impacts on forage biomass and animal diet sufficiency. Site rainfall strongly mediates the impact of grazing on standing biomass, such that more productive or higher-rainfall sites are more vulnerable to increases in grazing pressure. Gridded simulations covering Mongolia’s Gobi-Steppe ecoregion show that while rangeland biomass is generally predicted to increase under future climate conditions, interactions among spatially varying drivers create strong heterogeneity in the magnitude of change.