Miracle-dz/UniFAR-FTUs huggingface dataset:
A Bayesian model for the reconstruction of education- and age-specific fertility rates: An application to African and Latin American countries

Consistent and reliable time series of education-and age-specific fertility rates for the past are difficult to obtain in developing coun tries, although they are needed to evaluate the impact of women’s education on fertility along periods and cohorts. In this paper, we propose a Bayesian framework to reconstruct age-specific fertility rates by level of education using prior information from the birth history module of the Demographic and Health Surveys (DHS) and the UN World Population Prospects. In our case study regions, we reconstruct age-and education-specific fertility rates which are consistent with the UN age specific fertility rates by four levels of education for 50 African and Latin American countries from 1970 to 2020 in five-year steps. Our results show that the Bayesian approach allows for estimating reliable education-and age-specific fertility rates using multiple rounds of the DHS surveys. The time series obtained confirm the main findings of the literature on fertility trends, and age and education specific differentials.
Quantifying leadership in climate negotiations: A social power game

Abstract We consider complex multistage multiagent negotiation processes such as those occurring at climate conferences and ask ourselves how can an agent maximize its social power, intended as influence over the outcome of the negotiation. This question can be framed as a strategic game played over an opinion dynamics model, in which the action of an agent consists in stubbornly defending its own opinion. We show that for consensus-seeking opinion dynamics models in which the interaction weights are uniform, the optimal action obeys to an early mover advantage principle, i.e. the agents behaving stubbornly in the early phases of the negotiations achieve the highest social power. When looking at data collected from the climate change negotiations going on at the United Nations Framework Convention on Climate Change, we find evidence of the use of the early mover strategy. Furthermore, we show that the social powers computed through our model correlate very well with the perceived leadership roles assessed through independent survey data, especially when non-uniform weights incorporating economical and demographic factors are considered.
The tectonic facies and tectonic evolution of Beishan orogenic belt, Gansu

On the basis of 1∶250 000 scale regional geological survey of the Mazongshan map, through studied the volcanicsedimentary formation,the evolution of magmatic rocks squence, the characteristics of metamorphism and space of every tectonic units of Beishan orogenic belt, and applied tectonic facies division theories, according to the characteristic of belt, Beishan polycycle multiple orogenic belt is respectively divided 15 sorts tectonic facies, and discussed its tectonic framework and tectonic evolution model in the Paleosoic
Attention-based bidirectional long short-term memory for urban traffic prediction using multivariate data

With the continuous expansion of urban and population size, the external cost of traffic congestion is increasing daily. Urban traffic prediction using multivariate data is significant in solving these problems. However, traditional prediction methods are mostly based on merely statistical theory, which only includes a single variable, resulting in the precision accuracy not being guaranteed. Therefore, based on machine learning theory, this paper collects multivariate traffic data from the main sections of Shenzhen, China. With the help of the advantages of deep learning model in data analysis, urban traffic prediction using multivariate data is proposed based on considering the characteristics of multi-parameters, which solves the problem that the traffic prediction method is mainly based on a single variable and the auxiliary information is not considered enough. To fully consider the spatial-temporal characteristics of the traffic dataset, an ABi-LSTM prediction method concerning the influence of upstream and downstream road sections is proposed, solving the problem of low prediction accuracy caused by imperfect consideration of spatial-temporal characteristics in previous traffic predictions. The results provide an important reference for traffic management departments to alleviate traffic congestion effectively, moreover, it’s convenient for residents to understand road information more clearly and make reasonable travel choices.
A Study on Mobile Terminal-Based Deep Learning of English Vocabulary from a Multimodal Perspective

Within the cognitive theory of multimedia learning framework, this study explores the practical path to realize the deep learning of mobile terminal-based English vocabulary. It also discusses how to stimulate learners’ positive emotions to learn actively, construct a mental lexicon, and encourage learners to use high-order thinking to realize the transfer and innovation of knowledge.
E-Commerce as a Source of Revenue in Spanish Digital News Media

This study analyzes e-commerce strategies in Spanish active digital news outlets comprehensively based on a 2021 census. Out of the 2,862 outlets, 11.8% (or 337) incorporated some form of e-commerce, with a higher prevalence observed among legacy media than among digital-native outlets. The study also revealed that e-commerce was more prevalent among outlets with national coverage and specialized subject matters. A detailed examination of 34 high-reach outlets, including 25 legacy and nine digital-native news outlets, found that both types employed on-site sales and affiliate marketing. However, legacy media exclusively engaged in promotional editorial collections, merchandise, tickets, and travel sales. The study highlights that while some outlets are diversifying revenue streams, most still rely primarily on traditional income sources such as advertising and subscriptions. This reliance poses a risk as these conventional streams are becoming less dependable. Furthermore, the increasing move towards market-oriented journalism raises concerns about a shift from the democratic role of news media to a more consumerist model.
Effects of Grazing System on Performance of Cow-Calf Pairs Grazing Bermudagrass Pastures Interseeded with Wheat and Legumes1

Abstract A total of 96 fall-calving cows and 64 calves grazed Hardie bermudagrass [Cynodon dactylon (L.) Pers. ] interseeded with wheat (Triticum aestivum L.), red clover (Trifolium pratense L.), ladino white clover (Trifolium repens L.), and lespedeza (Lespedeza stipulacea Maxim.) during 1996, 1997, and 1998 in either a continuous or a rotational system stocked at equal rates. Grazing of wheat was initiated in early spring with cows and calves and terminated in late summer with cows grazing bermudagrass. Rotationally grazed units were subdivided into eight paddocks that were grazed for 3.5-d (1996 and 1997) or 2-d intervals (1998). Residual forage was removed as hay in late July each year and credited to the corresponding grazing system. Legume cover, available forage DM, residual hay production, gains of cows and calves grazing wheat, and gains of cows grazing bermudagrass interseeded with legumes were measured. Grazing system had no effect (P>0.05) on legume cover, available forage DM, BW gains of cows and calves grazing wheat, or BW gains of cows grazing bermudagrass interseeded with legumes. However, rotationally grazed pastures produced more (P
A comparative study on the effects of e-picture books and printed books on story comprehension and reading motivation among Chinese preschoolers

With the development of multimedia technology, the electronic reading method has greatly increased the enthusiasm for reading among initially less motivated children. This form of reading exhibits considerable potential, underscoring the necessity of determining the impact of employing such novel software on the emergent reading of young children in China. The aim of this research investigation is to contrast the influences of electronic books and printed book reading on story comprehension and reading motivation in Chinese five-year-olds. Preschoolers participating in this study were randomly selected from three different classrooms in a public kindergarten in Chongqing, China. These participants were again assigned to electronic and printed book reading groups according to their pretest scores. During the four-week reading intervention period, each preschooler read a picture book once a week, for a total of two books. The results indicate that the incorporation of screen-based reading for preschoolers holds promise in reducing reading fatigue and fostering interest in reading. In addition, there was a notable disparity in story comprehension levels, even though varying reading mediums were used in the two groups.
Effect of biochar on arbuscular mycorrhizal colonisation, growth, P nutrition and leaf gas exchange of wheat and clover influenced by different water regimes.

Abstract Biochar (biomass-derived carbon) can influence arbuscular mycorrhizal colonisation, plant growth, P nutrition and water relations but research is not conclusive. Therefore, a glasshouse experiment was conducted using wheat and clover with three water regimes, two biochar rates (0, 6 t/ha) with a series of harvests. Mycorrhizal colonisation was altered by water regimes. Shoot and root dry weight increased in well-watered compared to water-stressed conditions. Root length and colonised root length increased in the biochar treatment for wheat, especially in the well-watered treatment. Leaf gas exchange was higher in the presence of biochar indicating increased water availability to plants growing in biochar treated soil.
Present-day deformation of the French northwestern Alps/southern Jura mountains: comparison between historical triangulations

SUMMARY The change of the coordinates of 44 geodetic points between two surveys, epochs 1930-36 and 1979-84 are studied. The discussion is supported by strain rate tensors and angular shear rates for different sets of three adjacent points as well as by calculated displacements together with their confidence ellipses. The southern Jura mountains may undergo a relatively homogenous pattern of deformation characterized by a roughly east-west to NE-SW compression and by a significant westward motion (5 mm yr-') relative to the frontal ha mountains. This deformation would be compatible with the few focal mechanisms of earthquakes available for this area. A displacement of nearly 2 cm yr-l affected a geodetic point north of Annecy. Unfortunately, this point is the only one that shows such a movement, we cannot exclude a local displacement of this benchmark.
Improved Yoga Pose Detection Using MediaPipe and MoveNet in a Deep Learning Model

The escalating global embrace of yoga as a holistic approach to well-being has accentuated the demand for refined and efficient techniques in yoga posture recognition. Traditional manual methods, although valuable, have exhibited protracted timelines and vulnerability to inaccuracies. In response, we introduce an innovative solution that harnesses the capabilities of deep learning (DL) models, elevating both the precision and accuracy of posture detection. Our approach predominantly leverages the Thunder variant of the MoveNet model, renowned for its exceptional proficiency in distinguishing an array of yoga postures. This model is seamlessly amalgamated with the MediaPipe technique, facilitating adept keypoint identification and skeletonization. In our proposed framework, input images undergo initial preprocessing, followed by skeletonization achieved through keypoint extraction. This pivotal process enables the encapsulation of distinctive points intrinsic to individual yoga poses. Central to our methodology is the incorporation of the large and diverse yoga (LDY) dataset, which encompasses five distinct yoga pose categories: Downdog, Goddess, Plank, Tree, and Warrior. A thorough evaluation demonstrates our approach's outstanding accuracy of 99.50% when deployed on the LDY dataset. As maintaining precise posture is pivotal in averting immediate discomfort and mitigating long-term health complexities, the implications of this advancement are profound. It charts a course toward more meticulous and accessible mechanisms for detecting yoga poses, thus profoundly influencing the physical and mental well-being of practitioners.
Let's Go Phishing: A Phishing Awareness Campaign Using Smishing, Email Phishing, and Social Media Phishing Tools

The phishing attacks have been drastically rising in numbers in several platforms such as personal and business emails, short message services (SMS), and the emerging tactic that is through social media accounts. With the vulnerability of social engagement and trust in relationships, the study will show how phishing attacks are easily done with just minimal rapport in comparison to unknown senders and promotional links. The creation of a fake phishing website has been done and sent to 107 people - 46 via email, 37 via social media chat, and 24 via SMS. Data collection has been done through the use of the open-source phishing framework GoPhish for monitoring the links sent via email, Google Analytics for links sent via social media chat, and a link click counter for links sent via SMS. The results have shown that out of the three types of phishing methods used, Social Media Phishing is where the targeted users are most vulnerable on which has a 24 out of 46 (52.17%) success rate, compared to Email Phishing which has 6 out of 37 (16.22%) success rate and Smishing which has a 1 out of 24 (4.17%) success rate.
Les voiles microbiens. Leur contribution à la fossilisation des organismes au corps mou

Dans certains gisements fossiliferes, la conservation des organismes au corps mou est imputable a la proliferation de voiles microbiens. II en est ainsi des shales du Gres a Voltzia (Trias inferieur) ou des meduses, des annelides et diverses pontes sont fossilises dans des lamines grises, d'epaisseur inframillimetrique, dont la nature bacterienne est demontree. En recouvrant rapidement les cadavres, les voiles microbiens les protegeaient contre les animaux saprophages et les actions mecaniques. En měme temps, ils creaient un milieu clos, appauvri en oxygene, qui inhibait la decomposition de la matiere organique. □Fossilisation, voiles microbiens, cyanobacteries, Buntsandstein. Preservation of soft-bodied organisms in some fossiliferous localities is attributable to spreading of microbial veils. This is the case of the shales of the Gres a Voltzia (Lower Triassic), where fossil medusae, worms and clutches occur in grey, less than a millimeter thick laminae, the bacterial origin of which is demonstrated. Covering the bodies rapidly, the microbial veils protected them from scavengers and physical injuries. They created enclosed spaces, with poor oxygen content, inhibiting the decay of organic matter. □Fossilization, microbial veils, cyanobacteria, Buntsandstein.
Does Social media affect Banking Industry Financial Performance in Indonesia

In the broader context, financial performance refers to the degree to which financial targets are achieved and is an essential component of risk management in finance. It is the method of calculating the outcomes of the policies and operations of an organisation in monetary terms. It is used over a given period of time to assess the overall financial health of companies. It can also compare related companies in the same industry or compare aggregated industries or sectors. However, technological developments have forced various industries to adapt to social media to communicate with consumers, including the banking industry, to ensure their financial performance. Also, good communication with customers will improve banking financial performance. Thus, the present study is conducted to study whether social media affects the banking industry's financial performance. The secondary data were collected from the Financial Services Authority of Indonesia for 30 banking institutions and the data analysed using the Pearson rank correlation. The results showed that social media, such as Facebook and Instagram, significantly affect the banking industry's financial performance. We found that other kinds of social media, namely Facebook, have no Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management Singapore, March 7-11, 2021 © IEOM Society International 3454 significant effect on financial performance. In conclusion, this study confirms that social media is one crucial factor that influences the banking industry financial performance in Indonesia's context.
The Frictions and Flows of Data-Intensive Transformations: A Comparative Study of Discourses, Practices, and Structures of Digital Health in the U.S. and India

The Frictions and Flows of Data-Intensive Transformations: A Comparative Study of Discourses, Practices, and Structures of Digital Health in the U.S. and India Brittany Fiore-Silfvast Co-Chairs of the Supervisory Committee: Associate Professor, Kirsten Foot Assistant Professor, Gina Neff Department of Communication This dissertation examined the social and organizational implications of data-intensive transformations in healthcare through studying digital health and processes of informationalization in the U.S. and India. These transformations bring challenges of how to mobilize digital health data across different contexts of use and make data valuable for multiple stakeholders. To study these challenges I employed a combination of discourse analysis, ethnographic methods, and a comparative case study analysis to investigate digital health innovation across rural healthcare and urban consumer health and wellness settings in the U.S. and India. Through a communication lens this research examines sociotechnical interoperability for data across domains on three levels: discourses, communicative practices, and organizational structures and labor. Across the discourses and practices of different communities, I found communication gaps around health and wellness data. To explain these gaps I propose the concept of data
PETROLEUM GEOLOGY OF THE MAKRAN REGION: IMPLICATIONS FOR HYDROCARBON OCCURRENCE IN COOL BASINS

Six basinal elements have been recognized in the Baluchistan Basin on the basis of plate-tectonic considerations. The Makran forms part of the southernmost coastal "accretionary forearc basin", where a more than six-kms thick, relatively undeformed succession of neritic sediment overlies the turbidites. A reported oil seepage in the north, several gas seepages along the coast, abundant "bright spots" in the seismic profiles offshore, and the occurrence of hydrocarbons in similar geologic settings elsewhere, all support the recently-emerging impression amongst the petroleum geologists involved in the area that the Makran region may provide a uniquely instructive setting in which to study petroleum occurrence in cool basin environments.
Edukasi Peranan Matematika untuk Optimalitas Produksi pada Industri Kecil di Pabrik Kue LINTANG Tasikmalaya

The purpose of this community service activity is to introduce applied mathematics to small industries. Changing the perception among industry players that a scientific approach is needed in their industrial activities. As well as making industry players accustomed to using mathematics to optimize their production. This activity was carried out at the Lintang cake factory, one of the SMEs engaged in the pastry sector. The product types consist of original tambang cake, chocolate tambang cake, super original tambang cake, super chocolate tambang cake, onion cheestick cake, sweet potato cheese stick cake
LibCity-Dataset: A Standardized and Comprehensive Dataset for Urban Spatial-temporal Data Mining

The LibCity-Dataset represents a significant contribution to the field of urban spatial-temporal data mining. This dataset uniquely integrates macro traffic state data with micro trajectory data, providing researchers with comprehensive and diverse urban spatial-temporal data. Specifically, we begin by collecting and processing existing open-source spatial-temporal data. Subsequently, we independently collected Beijing taxi trajectory data through third-party interfaces. This data bridges the gap in the scarcity of current open-source vehicle trajectory data. The distinctive aspect of the LibCity-Dataset lies in its innovative approach of standardizing the storage format, achieved through the implementation of atomic files. By adopting this standardized format, diverse data sources are harmonized, enabling effortless application of spatial-temporal prediction models across various datasets. The uniform storage format not only simplifies experimentation but also expedites the advancement of spatial-temporal prediction research, acting as a catalyst for further innovation. This Data Note provides a comprehensive insight into the creation methodology of the LibCity-Dataset, including data collection and processing methodology, data description, data validation, and usage notes. By facilitating open-source collaboration and setting a benchmark for standardization within the spatial-temporal prediction domain, this dataset aims to foster increased research cooperation and knowledge sharing. The open-source link of our dataset is https://drive.google. com/drive/folders/1g5v2Gq1tkOq8XO0HDCZ9nOTtRpB6-gPe.
The Conceptual Metaphor and the Need to Identify It in the Albanian Literary Corpus

In Albanian pre-university and university literature, a cacophony of viewpoints can be observed regarding the concept of literary figuration in general and the metaphor in particular (especially in the pre-university system, where we encounter some of the strangest definitions). In this paper, we have focused on the concept of metaphor in Albanian tradition studies first, approaching these concepts contrastively. Then we have dealt with the concept of conceptual metaphor, an approach from a psycholinguistic point of view (more precisely neurolinguistic recently), which has taken place even in the most representative manuals of stylistics and which, in our opinion, offers several advantages in the identification of conceptual metaphor in literary text (and not only). The concept of conceptual metaphor and the reflection of the most recent treatments of it will be the main aim of this unit. We intend to do this since there is a lack of treatments related to conceptual metaphors in Albanian literature. Such a fact has created a gap in the prescription of the mental and cohesive identification of primary and conceptual metaphors in everyday life, as well as in literature. We consider the fact that it is a theory that has its origin and the largest number of treatments connected with the metaphor of everyday life, that is, of ordinary discourse, since it is seen as an important part of the conceptual and structural formatting of man. The article will provide examples of the Albanian corpus, specifically of ordinary speech, idioms, and the literary corpus. Received: 16 July 2023 / Accepted: 7 October 2023 / Published: 5 November 2023