Miracle-dz/UniFAR-FTUs huggingface dataset:
GNSS TEC‐Based Detection and Analysis of Acoustic‐Gravity Waves From the 2012 Sumatra Double Earthquake Sequence

The Wharton Basin earthquake sequence on April 11, 2012, offshore Sumatra, represents the two largest (Mw > 8.0) strike‐slip earthquakes ever recorded. Ground fault displacements generated a spectrum of acoustic‐gravity waves due to solid Earth–atmosphere coupling. Wave‐like perturbations in Total Electron Content (TEC) were therefore observed in ground‐based Global Positioning System data. The waves arrive about 10 min after each earthquake and their spectral analysis reveals the presence of acoustic resonance frequencies of 3.8 and 4.4 mHz. The acoustic wave speeds of 0.9–1.2 km/s suggest coseismic ground movement as the primary wave generating mechanism instead of seismic Rayleigh waves. Gravity waves with frequencies below 2 mHz traveling with lower speeds of 0.21 km/s are also detected. Ray tracing using a simple numerical model traced the source of observed ionospheric perturbations to within 150 km distance of the epicenters. Large amplitude ionospheric disturbances were found to travel mostly in a north‐south direction, an observation explained by the orientation of Earth’s geomagnetic field.
The Predictive Level of Cognitive and Meta-Cognitive Strategies on Academic Achievement

The aim of this research is to determine the structural relationship pattern between rehearsal, elaboration, organization and critical thinking strategies and academic achievement. 414 university students attending a public university in Istanbul participated in the study. As a data collection tool, “Motivated Strategies for Learning Questionnaire” was applied to the participants. Academic achievement scores of the students were determined by the English Proficiency Exam (EPE) conducted by the institution. The data obtained from the study were analysed through Structural Equation Modelling (SEM) and by using AMOS 22.0 statistical software program. Findings revealed that rehearsal and elaboration strategies did not predict academic achievement in a meaningful way. On the other hand, critical thinking and organizational strategies were found to be statistically significant in predicting academic achievement. In addition, the results demonstrated that there was a statistically significant and positive relationship between rehearsal, elaboration, organization and critical thinking strategies.
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting

Transportation demand forecasting is a topic of large practical value. However, the model that fits the demand of one transportation by only considering the historical data of its own could be vulnerable since random fluctuations could easily impact the modeling. On the other hand, common factors like time and region attribute, drive the evolution demand of different transportation, leading to a co-evolving intrinsic property between different kinds of transportation. In this work, we focus on exploring the co-evolution between different modes of transport, e.g., taxi demand and shared-bike demand. Two significant challenges impede the discovery of the co-evolving pattern: (1) diversity of the co-evolving correlation, which varies from region to region and time to time. (2) Multi-modal data fusion. Taxi demand and shared-bike demand are time-series data, which have different representations with the external factors. Moreover, the distribution of taxi demand and bike demand are not identical. To overcome these challenges, we propose a novel method, known as co-evolving spatial temporal neural network (CEST). CEST learns a multi-view demand representation for each mode of transport, extracts the co-evolving pattern, then predicts the demand for the target transportation based on multi-scale representation, which includes fine-scale demand information and coarse-scale pattern information. We conduct extensive experiments to validate the superiority of our model over the state-of-art models.
Students’ well-being in tertiary environments: insights into the (unrecognised) role of lecturers

ABSTRACT This qualitative study reports on the role of university lecturers in the well-being of undergraduate students. A sample of undergraduate student participants (n = 335) at a large, urban residential university in the Gauteng Province of South Africa participated in rapid, face-to-face interviews. Interviews were conducted by student fieldworkers during multiple 4-h blocks on all weekdays. Data were analysed by means of thematic analysis. Findings indicate that university lecturers play a substantive role in the well-being of undergraduate students. These findings are significant in that they have emerged from open-ended questioning. Furthermore, the role of university lecturers is frequently unrecognised in terms of the psychological well-being of students and rather articulated in terms of the academic task. The findings present the role of lecturers in student well-being in a multi-faceted way. It is delineated as lecturer support, benevolence, lecturer competence, lecturer availability, interaction, and the lecturer’s attitude towards their work.
Assessment and Visualization of OSM Consistency for European Cities

Volunteered Geographic Information (VGI) is a widely used data source in various fields and services, such as environmental monitoring, disaster and crisis management, SDI, and mapping. Quality is a critical factor for the usability of VGI. This study focuses on evaluating logical consistency based on the topological relationships between geographic features while considering semantics. It addresses internal (i.e., between thematic layers) and external (i.e., between specific features from different thematic layers) logical consistency. Attribute completeness is computed to support the use of semantics. A tool for assessing the consistency and attribute completeness is designed and implemented in the ArcGIS environment. An open-source web mapping application informs users about VGI consistency with multiscale visualization and indices. Data from OpenStreetMap (OSM), one of the most popular collaborative projects, are evaluated for six European cities: Athens, Berlin, Paris, Utrecht, Vienna, and Zurich. The case study uses OSM-derived data, downloaded from Geofabrik and organized into thematic layers. OSM’s consistency is evaluated and visualized at the regional, city, and feature levels. The results are discussed and conclusions on attribute completeness and consistency are derived.
The changing role of natural and human agencies shaping the ecology of an African savanna ecosystem

Reconstructing the historical interplay of wildlife and pastoralists in the African savannas is clouded in contemporary studies by the transformation of subsistence societies and land use changes. We draw on ﬁ ve decades of monitoring by the Amboseli Conservation Program to illustrate the rainfall – plant – herbivore linkages in a free-ranging wildlife – livestock system transitioning to contemporary savanna landscapes. In half a century, the coupled interactions of wildlife and livestock in the Amboseli ecosystem driven by rainfall and water sources have been severed and reshaped by farming, land subdivision, sedentism, poaching, and intensi ﬁ ed herbivory. Livestock ranges have expanded, wildlife ranges have contracted, and overlapping spatial use has ﬂ uctuated with population sizes. In contrast, wildlife and livestock herds have been sustained where the rangelands remain open. A decrease in the mean body size re ﬂ ecting a shift to small stock among pastoralists has increased species dominance, decreased diversity, and elevated biomass turnover and the probability of extreme shortfalls. In recent droughts, pastoralists have been importing food supplements to reduce drought risk and purchased livestock to restock herds, further uncoupling the rainfall-herbivore link. Our study reinforces the view that biomes worldwide are shaped at an accelerating pace by human agencies rather than endogenous environmental factors. Disputes over models of rangeland systems echo the wider debate over using natural ecosystems as benchmarks for conservation verses “ gardening ” nature. We argue that models of natural ecosystems fail to account for the dominant role of humans in contemporary ecosystem yet that it is possible to monitor the complex interplay of human and natural systems and interpret the changes in terms of ecological function using macroe-cological analysis. The key ﬁ nding for conservation is the importance of space, landscape heterogeneity, social networks, and mobility in sustaining the large herbivore populations.
Evaluation of an endophytic plant growth-promoting bacterium, Klebsiella variicola, in mitigation of salt stress in tuberose (Polianthes tuberosa L.)

ABSTRACT The information about the use of plant growth-promoting endophytic bacteria (PGPEB) with ornamental plants is still scarce. This study was designed to isolate and characterize PGPEB from different plants (Gossypium, Cyperus, Corchorus olitorius and Oryza sativa) and to evaluate their potential in plant growth promotion in tuberose (Polianthes tuberosa L.). A total of 25 isolates were obtained from the surface-disinfected plant parts. Five isolates were initially selected for their ability to produce indole-3-acetic acid and phosphate-solubilization activity in addition to the ability to form a biofilm. The most potent isolate was selected and identified as Klebsiella variicola RS-1. A pot experiment was designed to examine the ability of the selected isolate to aid tuberose withstanding different concentration of irrigation water salinity with EC values of 1.2 (control), 4.5, 6, and 7.5 ds m-1 during two successive growing seasons. At higher salinity levels (7.5 ds m-1), both inoculated and sprayed plants recorded high levels of catalase and peroxidase activities 3 and 1.5 times over untreated plants respectively. Also, leaf length was increased about 46% and 37% in inoculated and sprayed plants respectively over untreated ones. The same trend was observed in most other vegetative parameters.
Group Contribution-based LCA models to enable screening for environmentally benign novel chemicals in CAMD applications

This study considers the development of suitable models for the estimation of Life Cycle Assessment (LCA) indices of organic chemicals based on their molecular structure. The models developed here follow the well-established Group-Contribution (GC) approach and a variety of regression and non-regression methodologies are recruited to achieve the optimum correlation. These models can then be used, alongside other GC models, to screen for molecules with optimal and/or desirable properties, using appropriate molecular design synthesis algorithms. The LCA indices considered here are the Global Warming Potential (GWP), Cumulative Energy Demand (CED) and EcoIndicator 99 (EI99). The model development uses data from existing LCA databases, where each material is associated with its cradle-to-gate LCA metrics, GWP, CED and EI99. The paper presents the model development results, and applies the proposed LCA models on a typical case study for the design of LL-extraction solvents to separate an n-butanol – water mixture.
Cross-National Comparison of Breastfeeding, Malnutrition and Associated Risk Factors among Mexican-Origin Children Living in Mexico and the US

To examine breastfeeding, individual and household risk factors for malnutrition (i.e., overweight and stunting) among Mexican-origin children aged 6 to 35 months living in Mexico and the US. We ran logistic regression models using subsamples of the 2012 Mexican National Health and Nutrition Survey, and four waves (2007-2014) of the US National Health and Nutrition Examination Survey. We found evidence for a protective effect of any breastfeeding on stunting in Mexico. Risk factors for overweight and stunting across countries were high- and low-birthweight, correspondingly. An additional risk factor for overweight was introducing complementary foods before 6 months; while being male, living in Mexico and moderate-severe household food insecurity were additional risk factors for stunting. To prevent malnutrition among Mexican-origin children, pre- and post-natal culturally-sensitive policies and interventions in both countries should be aimed toward preventing high- and low-birthweight, and promoting positive maternal health behaviors such as appropriate child feeding practices.
Anxiety and Attentional Control in Adolescents: Using a Novel Brown-Peterson Paradigm to Identify the Locus of Anxiety-Related Working Memory Difficulties

A1 Working memory has become a key mechanism in accounting for the general attentional and cognitive control difficulties observed in anxious individuals. Mixed empirical findings regarding the nature and extent of these difficulties suggest the need for more nuanced accounts of the anxiety-working memory relationship. This study investigates working memory performance in older adolescents under conditions of varying attentional demand. The relationship between attentional demand, working memory load and levels of anxiety will be assessed with regards to individuals’ susceptibility to distraction and any resulting impairments in working memory performance. A3 Participants At least A4 Study method Participants will complete a Brown-Peterson task in which a pre-load of words is followed by a period of distraction, and then a test of recall accuracy. A novel manipulation varies the attentional demands of the task at either storage or distraction. Self-report attentional control difficulties and state and trait anxiety will also be assessed.
Optimal dividend strategy for the dual model with surplus-dependent expense

Abstract In this paper, we consider the optimal dividend problem for the dual model with surplus-dependent expense. The objective is to find the optimal dividend-payment strategy that maximizes the expected discounted value of dividends until the time of ruin. We give the analytic characterizations of admissible strategy and Markov strategy and show that a dividend strategy is a Markov strategy if and only if it is an additive functional of the controlled surplus process. We use the theory of measure-valued generators to derive a measure-valued dynamic programming equation (DPE). And the verification theorem is proved without additional assumptions on the regularity of the value function. Under the assumption that the value function is locally Lipschitz continuous, the optimal strategy is presented as a Markov strategy and hence a band strategy. Numerical examples are also given.
Red-Shifted Environmental Fluorophores and Their Use for the Detection of Gram-Negative Bacteria

Two novel, water-soluble, merocyanine fluorophores were readily prepared by microwave-assisted synthesis. Full optical characterization was performed in a series of protic and aprotic solvents, and the dyes displayed fluorescence in the red region with up to a 20-fold decrease in brightness in water, demonstrating a strong environmental sensitivity hereby termed as solvato-fluorogenicity (to distinguish from solvatochromism). Shorter fluorescent lifetimes were also measured in water, which confirmed this character. These dyes were conjugated to a modified polymyxin scaffold that allowed fluorescence “switch-on” upon binding to Gram-negative bacterial membranes, and selective fluorescence detection of bacteria in a wash-free protocol.
Small businesses and the effects on the growth of formal collaboration agreements: additional insights and policy implications

ABSTRACT The paper studies the impact of formal collaboration agreements (FCA) on firms’ growth in Italy. To conduct a proper evaluation exercise, we started building a novel database of Italian firms where networked firms in 2012 (treated units) are matched with firms that did not subscribe to a formal network agreement (controls units) but possess similar observable characteristics. Then we use difference-in-differences regression models in which we employ time lags in the relationships between objective variables and control ones. We show that FCAs have a positive effect and can be interpreted as a valid means to reduce the cognitive distance from the market of firms. Moreover, the effect is mainly due to a defensive strategy. The effect is stronger for those firms that do not exploit other proximity types, namely geographical and organizational. Finally, structural characteristics play a role: younger and smaller firms avoid a ‘size contraction’ signing an FCA.
Highly Sensitive Optical Sensor for Selective Detection of Fluoride Level in Drinking Water: Methodology to Fabrication of Prototype Device

Excess consumption of fluoride through drinking water and its detrimental effects on human health have been a serious global concern. Therefore, frequent monitoring as well as quantitative determination of fluoride ion (F-) concentration in aqueous media is of vital importance. Herein, we have developed a facile and highly sensitive spectroscopic technique for selective detection of F- in aqueous media using aluminium phthalocyanine chloride (AlPc-Cl) as a sensor. The absorbance as well as steady-state fluorescence intensity of AlPc-Cl has been found to decrease in presence of F- which has been used as a marker for the determination of fluoride ion concentration in water. The structural change in AlPc-Cl after addition of F- has been thoroughly studied by using 19F NMR (Nuclear Magnetic Resonance) spectroscopy. Our detailed steady-state as well as time-resolved fluorescence studies reveal that the quenching mechanism is static in nature due to ground state complexation in between F- and AlPc-Cl molecules. The response of the sensor is found to be linear over the F- concentration regime from 0 to 6 parts per million (ppm) with a detection limit of 0.05 ppm. Additionally, it shows an excellent selectivity as well as an insignificant change in sensitivity even in the presence of interfering iron and aluminium ions. Based on the detailed photophysical study, we have further developed a low cost and portable prototype device which shows an excellent sensitivity with the detection limit of 0.10 ppm. This prototype device has a high prospect for real-time monitoring of fluoride ion concentration especially in remote areas.
Shape of U: The relationship between object-location memory and expectedness

Based on a neuroscientific model of memory (SLIMM), we predicted that people’s memory for object locations would be a U-shaped function of the expectancy of those locations. Using immersive virtual reality, we manipulated expectancy by placing twenty familiar objects in locations within a virtual kitchen that were congruent, unrelated or incongruent with people’s schema (prior knowledge) for a typical kitchen. Using Bayes Factors across three experiments, we confirmed this (pre-registered) prediction, with better memory for highly expected or highly unexpected locations relative to neutral locations. This U-shape was found in location recall and, importantly, in three-alternative forced choice recognition using object-location images, for which locations in the foil images were approximately equally expected. The latter shows that (part of) the U-shape was not simply participants guessing expected locations when unsure. A second prediction of SLIMM is that the two ends of the U-shape would be associated with different expressions of memory: namely, recollection of objects at unexpected locations, but familiarity for objects at expected locations. Bayes Factors provided evidence against this second prediction, with recollection associated with both ends of the U-shape, and familiarity showing no effect of expectancy. These findings have implications for SLIMM and more general theories of the role of schema and surprise in episodic memory.
Developing a Framework of Improved Decision Usefulness in Financial Information

It is indispensable to improve decision usefulness for decision-making process for business. This study attempts to seek a framework of expanding a concept of decision usefulness (DU) through a regulatory-process check and a review of financial information literature and the extent to which future research opportunities could emerge from this DU concept for the improved decision usefulness (IDU). The regulatory process and research trends on financial information show that financial-information decision has evolved from reliability-driven to relevance-driven financial-information theories and moves forward to international accounting standardization issues. To this end, the development of ‘synthesis’ theories and approaches in financial information offers many future empirical-study chances for improved decision usefulness. Keywords: Decision Usefulness; Financial Information; Reliability-Driven Financial Information; Relevance-Driven Financial Information; International Accounting Standardization.
Acceptance and Behavior of Social Media Use: Causality Analysis of Media Needs, Media Choice and Intervening Characteristics of Social Media Innovations

Social media as one of the implementations of CMC has been widely used by more than half of the world's population in various forms of fulfilling needs and choices in interaction and communication, which is a phenomenon that we can see today. This research aims to see to what extent these needs and choices influence the acceptance and use of social media directly or indirectly through the characteristics of the innovation possessed by these social media. The research method used is a quantitative approach through a survey of the population of the reseacrh, namely students of the communication science study program of PTS in DKI Jakarta, represented by 378 respondents who have been validated. Data analysis using SEM modeling which is divided into measurement and structural models. The results of the research indicate that social media needs and choices have a significant effect on social media acceptance, social media needs and the choices have a significant effect on social Original Research Article Raharjo et al.; SAJSSE, 10(4): 36-58, 2021; Article no.SAJSSE. 67769 37 media use behavior, then also the social media needs and choices through the characteristics of innovation have a significant effect on social media acceptance and needs. The choice of social media through the characteristics of innovation has a significant effect on the behavior of using social media. This research also shows that the need factors include personal needs, social needs and the need for tension relief and choice factors, namely media richness and critical mass of social media have an influence in accepting and using social media by students.
Using Deer Stable Isotope Data to Test a Niche Construction Hypothesis for an Increase in Prehistoric Human Maize Consumption in the Eastern Woodlands of the United States

ABSTRACT Pollen records and macrobotanical remains indicate maize was grown minimally during the Middle Woodland (200 BCE - CE 500) in eastern North America. However, previous isotopic studies have found limited evidence of its consumption by people in archaeobotanical assemblages. Hypothetically, if deer (Odocoileus virginianus Zimmermann) were feeding on maize (Zea mays L.) in gardens prior to its adoption as a human dietary staple, this may indicate a niche construction process which would later lead to shifts in hunting strategies. This construction of garden spaces or niches has implications for decreased mobility and greater investment in garden crops. To evaluate this hypothesis in the Ohio River Valley, we measured stable nitrogen (δ15N) and carbon (δ13C) isotope compositions of bulk collagen in deer bones (N = 25) from archaeological sites spanning the Middle Woodland (200 BCE - CE 400/500) to Late Precontact (CE 1400-1630). Our hypothesis was not confirmed: little (one deer of 19) evidence for maize consumption occurred in the analyzed deer remains. Five deer of 19 did indicate the possibility of feeding in deeply wooded areas, reflecting canopy effect. Dog (Canis lupus familiaris L.) bone samples (N = 2) were also analyzed for these isotopes and one indicates some consumption of maize.