Miracle-dz/UniFAR-FTUs huggingface dataset:
Does proactivity drive use? Understanding growth in chat reference services

Abstract Libraries that implement trigger-initiated proactive chat reference services see substantial increases in the number and complexity of reference transactions. However, it is not clear if this growth is a result of something inherent to proactivity, or other factors such as increased awareness of the service. To investigate this, we compare usage during periods with and without proactivity in databases in which our chat reference service is established. Steep and immediate increases when proactivity is enabled and sharp declines when it is disabled suggests that proactivity itself is driving the changes. We recommend human computer interaction (HCI) and user experience (UX) approaches to further understand chat reference service.
The Development, Validation and Implementation of a Professional Disposition Instrument for Educator Preparation Programs

The identification and measurement of professional dispositions is widely recognized as an important component of any assessment system in educator preparation programs for pre-service teachers and other school professionals. Professional dispositions are the shared attitudes, values, beliefs, and behaviors that are expected from and demonstrated by educational professionals in a variety of different settings through their interactions with others. Teacher educators in the School of Education at a midsize public midwestern university recently developed and validated an instrument to measure the professional dispositions of candidates both on campus and during clinical field experiences. The process included identifying the purpose, forming a committee, researching the literature, developing the instrument, validating the instrument, and forming an implementation plan. The professional disposition instrument was developed by a committee of seven faculty and staff in the School of Education representing seven different undergraduate and graduate educator programs. The professional disposition instrument was validated by conducting a survey of the Program Advisory Committees serving as a panel of external stakeholders and educational experts. The survey respondents rated each dispositional item as essential, useful but not essential, or not necessary. A Content Validity Ratio (CVR) was calculated for each professional disposition item based on the survey results. This article describes the development, validation, and planned implementation of the new professional disposition instrument, including a discussion of the benefits and challenges of the process.
A simplified approach to reliability evaluation of deep rock tunnel deformation using First-Order Reliability Method and Monte Carlo simulations

abstract: The Monte Carlo simulation (MCS) and First-Order Reliability Method (FORM) provide a reliability analysis in axisymmetric deep tunnels driven in elastoplastic rocks. The Convergence-Confinement method (CV-CF) and Mohr-Coulomb (M-C) criterion are used to model the mechanical interaction between the shotcrete lining and ground through deterministic parameters and random variables. Numerical models synchronize tunnel analytical models and reliability methods, whereas the limit state functions control the failure probability in both ground plastic zone and shotcrete lining. The results showed that a low dispersion of random variables affects the plastic zone's reliability analysis in unsupported tunnels. Moreover, the support pressure generates a significant reduction in the plastic zone's failure, whereas the increase of shotcrete thickness results in great reduction of the lining collapse probability.
Monitoring and Smart Decision Architecture for DRONE-FOG Integrated Environment

Due to the limited computing resources of drones, it is difficult to handle computation-intensive tasks locally, hence, fog-based computation offloading has been widely adopted. The effectiveness of an offloading operation, however, is determined by its ability to infer where the execution of code/data represents less computational effort for the drone, so that, by deciding where to offload correctly, the device benefits. Thus, this paper proposes MonDroneFog, a novel fog-based architecture that supports image offloading, as well as monitoring and storing the performance metrics related to the drone, wireless network, and cloudlet. It takes advantage of the main machine-learning algorithms to provide offloading decisions with high levels of accuracy, F1, and G-mean. We evaluate the main classification algorithms under our database and the results show that Multi-Layer Perceptron (MLP) and Logistic Regression classifiers achieve 99.64% and 99.20% accuracy, respectively. Under these conditions, MonDrone-Fog works well in dense forests when weather conditions are favorable and can be useful as a support system for SAR missions by providing a shorter runtime for image operations.
Anatomy of October 30, 2020, Samos (Sisam) –Kuşadası earthquake (MW 6.92) and its influence on Aegean earthquake hazard

: We investigated rupture geometry, size, and slip distribution of October 30, 2020, Samos (Sisam)–Kuşadası earthquake combining seismographs, GPS measurements, and SAR analysis. Right after the earthquake, we measured 13 additional campaign-based GPS sites to intensify the available GPS network consisting of 10 continuous stations. We combined all available seismographs to have the best possible accuracy for mainshock and aftershock hypocenter locations. We compiled all available seismic profiles and integrated them using high-resolution bathymetry to map seismically active faults. The mainshock hypocenter is located at 37.913 ± 0.009 N° and 26.768 ± 0.017 E° and a depth of 12.3 ± 1.7 km. Our fault plane solution shows that the mainshock has almost a pure normal-type mechanism. Based on accurate aftershock locations as well as InSAR results, the mainshock rupture is subsegmented with two north-dipping rupture planes. The rupture probably starts on a low angle plane generating 1.1 m average slip between the depths of 9–14 km. It merges to a steep plane at 9 km depth where it generates 1.2 m average slip extending towards the surface near the shoreline of Samos (Sisam) Island. Total size of the two rupture planes and their average slips determine that the magnitude of the mainshock is (M w ) 6.92 ± 0.02. The mainshock has substantially increased Coulomb stress on several fault segments near the towns Kuşadası and Söke, which have the potentials to generate strong earthquakes. It also nonnegligibly increased Coulomb stress on several fault segments south of İzmir giving a warning for increased earthquake hazard in this highly inhabited area.
Selective excitation enables encoding and measurement of multiple diffusion parameters in a single experiment

Abstract Band selectivity to address specific resonances in a spectrum enables one to encode individual settings for diffusion experiments. In a single experiment, this could include different gradient strengths (enabling coverage of a larger range of diffusion constants), different diffusion delays, or different gradient directions (enabling anisotropic diffusion measurement). In this report, a selective variant of the bipolar pulsed gradient eddy current delay (BPP-LED) experiment, enabling selective encoding of three resonances, was implemented. As proof of principle, the diffusion encoding gradient amplitude was assigned a range dependent on the selected signal, thereby allowing the extraction of the diffusion coefficient for water and a tripeptide (Met-Ala-Ser) with optimal settings in a single experiment.
Geography and embeddedness in city networks

ABSTRACT This research assesses the empirical relevance of geography as a driver of the position of the nodes within a city network. We first propose a measure of the strength of network ties between municipalities based on the observed migratory flows and compute network centrality indexes to characterize the degree of embeddedness of each place. Second, we filter the network ties to account for the fact that a non-negligible fraction of the flows is induced by geographical proximity and, therefore, do not accurately measure the strength of the relationship between places. The empirical results (data from Spanish municipalities for the period 2001–16) suggest that network ties between municipalities, beyond those directly related to geographical proximity, explain, on average, about a third of network centrality.
Socioeconomic conditions on poverty levels a case study: Central Java Province and Yogyakarta in 2016

Abstract: This study aims to analyze how the influence of infrastructure availability, socioeconomic conditions, and the effect of location on poverty levels. The descriptive analysis is used to give a general description of poverty by using thematic charts and maps. The poverty map is analyzed by spatial autocorrelation of poverty levels by using a Moran Scatterplot and the Local Indicators of Spatial Association (LISA) Map. The results of the study indicate the existence of spatial linkages to poverty. The Increasing of other variables outside the model in neighboring regions will increase the level of poverty in a region. The infrastructures of road extension, clean water infrastructure, economic growth, quality of education, and health have a significant influence on the level of poverty, while the percentage of satisfactory sanitation did not demonstrate to affect the significant effect on poverty. The conclusion is that the level of poverty in the provinces of Central Java and Yogyakarta has an irregular distribution and a clustered spatial pattern.
Diterpenoids from Fokienia hodginsii.

In continuous research on the chemical constituents of the twigs and leaves of Fokienia hodginsii (Dunn) A. Henry et Thomas growing in Highland, Lam Dong province 4 diterpenoids, including 3-oxo-totarol (totarolone, 1 ), 3 β -hydroxytotarol ( 2 ), 15- nor -labda-8(17),12 E -diene-14-carboxaldehyde-19-oic acid ( 3 ) and 13-oxo-15,16-dinorlabda-8(17),11 E -diene-19-oic acid ( 4 ) were isolated. Their structures were elucidated by the spectroscopic methods and comparison with reported data. This is the first report on the isolation of compounds 1 , 2 and 3 from this plant. Keywords. Fokienia hodginsii ; totarane; nor -labdane diterpenoid.
Identification of a Human-Structure Interaction Model on an Ultra-Lightweight FRP Footbridge

Due to the high strength-to-weight ratio of fibre reinforced polymers (FRPs), human-induced vibration problematic remains as a subject to be fully comprehended in order to extend the use of composites in Bridge Engineering. Thus, this paper studies an ultra-lightweight FRP footbridge, which presents excessive vertical vibrations when the fourth harmonic of a walking pedestrian is synchronised with the structure’s fundamental frequency. Focusing on the vertical bending mode, at 7.66 Hz, the bridge dynamic behaviour was assessed under the action of a single pedestrian crossing the facility at a step frequency of 1.9 Hz. As an over prediction of the footbridge response was computed using a moving force (MF) model available in a design guideline, a mass-spring-damper-actuator (MSDA) system was adopted to depict a walker. Hence, Human-Structure Interaction (HSI) phenomenon was considered. Employing the experimental results, parameters of the MSDA system were identified, leading to a HSI model that considers the first fourth harmonics of a walking human. Additionally, a parametric analysis was carried out, determining that the damping ratio of the human body and the load factor associated to the fourth harmonic are the most relevant parameters on the estimation of the response. The identified HSI model may be used as a first approximation to accurately predict the dynamic response of ultra-lightweight composite structures and should be extended to account for crowd-induced loads.
The power of fears in the travel decision – covid-19 against lack of money

PurposeDuring the pandemic, two types of fear were identified that occur significantly in all groups or profiles of people. The aim of this paper is to determine which of the two types of fears exist in certain psychological groups, and which of the fears strongly influence the decision to travel.Design/methodology/approachThe VALS 2 method and standardized questionnaire were used for the segmentation of the tourist market or for the determination of the psychographic profiles of the consumers, and three additional questions were joined to it as they were vital for the research of the type of fear and its impact on the decision for traveling. When the reliability of the questionnaire and the validity of the sample were determined, the data were further processed using a computer program package IMB AMOS SPSS 21.00, and then, based on the theoretical suppositions and hypotheses, the SEM structural model was created.FindingsThe paper indicates the existence of established types of fears in humans, when it comes to pandemics and similar crisis situations. People are most afraid of infection during travel, and lack of funds and job loss during the critical period of the pandemic. The research conducted confirms that all groups of people, who are determined by the psychological technique VALS 2, react with a certain dose of fear and make decisions under the pressure of fears.Research limitations/implicationsThe research had limitations in terms of contact with people and conducting live surveys. The measures during the pandemic, which were carried out by the state, included social distance and limited movement of people.Practical implicationsThe work can contribute to the community, along with similar research. The results of the research will be available, and it will be possible to see the behavior of people during crisis situations, and the impact of fears on making decisions, both travel decisions and decisions related to other areas of life.Originality/valueThe paper provides research results on a large sample of respondents, and can serve as a basis for further research in the field of tourism, psychology and similar fields. It is crucial to consider the type of fears, and the strength of the impact of these fears on the decision to travel, during crisis situations.
The value of coastal saltpans for migratory shorebirds: conservation insights from a stable isotope approach based on feeding guild and body size

Migratory shorebirds are among the most threatened groups of birds. They rely on natural intertidal habitats outside the breeding season, but, to some extent have adjusted to using man‐made habitats. Here, we assessed the importance of coastal saltpans – a type of anthropogenic wetland – for feeding in migratory shorebirds during their northward migration along the East Asian‐Australasian Flyway (EAAF). We combined low tide counts on intertidal flats and nearby saltpans at the Luannan coastal wetland complex (Bohai Bay, China) with Bayesian mixing model analyses (BMMs) based on stable isotopes to evaluate the relative importance of coastal saltpans versus natural intertidal habitats as foraging grounds for migrating species. We grouped shorebird species (n = 24) according to feeding guild and body size, and found that both predictors explained the broad‐scale patterns of foraging use of saltpans by shorebirds at low tide. The guild of water‐surface foraging species (e.g. stilts and avocets), independently of body size, mostly fed in saltpans, and the small‐medium visual (e.g. plovers) and tactile‐surface (e.g. sandpipers) foraging species consumed a significant portion of their diet in this habitat. In contrast, most large tactile‐surface foraging species barely foraged in saltpans at low tide. BMMs showed that shorebirds had a greater reliance on saltpans than did traditional counts of foraging birds in each habitat at low tide. Saltpan food is rich in essential fatty acids, so the contribution of saltpans to the diet of shorebirds should not be considered only in absolute values, but also in the quality of this contribution. Saltpans may therefore help conserve declining shorebirds if properly managed – for example by controlling water levels – to serve the specific feeding guilds that rely on them. While our focus is in the EAAF, the findings are relevant for other flyways and other non‐tidal anthropogenic wetlands.
A Crack in the Looking-Glass Self: Hearing and Socialization

A significant problem of classic theories of socialization, such as Cooley’s looking-glass self, is that such theories fail to consider biological factors such as hearing in the process of socialization. To address this problem, I raised a two-pronged question: how does deafness affect social interactions upon which much of socialization is dependent and can the experiences of one person’s lifelong socialization help uncover limitations of a classic theory of socialization? The key study participant in this instrumental case study is an individual with moderately severe hearing loss and whose lifelong experiences were collected primarily through ethnographic field techniques. Findings from secondary data provide ample evidence that hearing loss can have serious effects on social interaction and socialization and findings from the individual case itself, while somewhat inconclusive, are suggestive of how hearing loss affected this individual during her lifetime, this being more strongly observed in the later stages of her socialization. Key points that emerge from this study are that (a) the complexity of socialization poses great challenges in teasing out its many factors, but (b) including hearing as a factor advances our insight of the process and (c) this in turn, has implications for how educators understand and teach the concept, and (d) this insight can increase our sensitivity for individuals with hearing loss.
Performance evaluation of reanalysis precipitation products in Egypt using fuzzy entropy time series similarity analysis

Selection of suitable gridded precipitation data is deemed for hydroclimatic assessment and climate change impact analysis, especially in regions where long‐term reliable precipitation data is unavailable. A novel approach based on fuzzy entropy similarity analysis (FESA) is proposed to evaluate the performance of four reanalysis gridded precipitation datasets (GPDs) for Egypt, namely European Reanalysis v.5. (ERA5), TerraClimate, Global Land Data Assimilation System (GLDAS)—Noah Land Surface Model L4 v.2 and Climatologies at high resolution for the Earth's land surface areas (CHELSA), against gauge records. The proposed method was verified using conventional statistics. Besides, the relative performance of different GPDs was verified according to their response to the influence of North Atlantic Oscillation (NAO) and Mediterranean Oscillation (MO) on winter precipitation. The performance of the best reanalysis GPD was also compared with the gauge‐based global precipitation climatology centre (GPCC) dataset to show its reliability. The FESA revealed CHELSA as the best reanalysis GPD for Egypt. The performance assessment of GDPs based on conventional statistical metrics and visual presentation confirms the results obtained using FESA. CHELSA showed significant correlations with NAO (r = 0.3627) and MO (r = 0.624) like that obtained for gauge records. CHELSA also showed a better representation of precipitation in Egypt than GPCC at nearly half of the gauge locations. As CHELSA has a much higher spatial resolution than GPCC, it can be recommended as the proxy of gauge records in Egypt. The FESA can be used for performance analysis of gridded climate data by avoiding the complexities of using multiple statistical metrics.
Analitika Data Dalam Pengelolaan Keuangan Negara: Use Case Data Dasar Dana Alokasi Umum

Analitika data keuangan negara merupakan sekumpulan kerangka konsepsual yang digunakan untuk mengidentifikasi, mengekstraksi, dan mendapatkan pola atau anomali tertentu dari berbagai data keuangan negara untuk selanjutnya dapat disajikan dalam bentuk wawasan (insights), visualisasi ataupun model yang diharapkan dapat membantu pengambilan keputusan yang berkaitan dengan berbagai fungsi dan bidang pengelolaan keuangan negara. Penelitian ini dengan menggunakan rancangan penelitian deskriptif kualitatif menjelaskan bagaimana analitika data keuangan negara dapat dilaksanakan dengan menggunakan use case data dasar Dana Alokasi Umum (DAU) yang telah tersedia dan dapat diakses secara bebas oleh publik melalui situs web Kementerian Keuangan. Kajian ini menggunakan kombinasi beberapa paket perangkat lunak dan teknik analisis data untuk menyajikan berbagai insights yang dapat disajikan dari data yang telah tersedia tersebut. Penelitian ini dengan use case yang ada menemukan bahwa data keuangan negara telah disajikan dengan struktur data standar relatif memudahkan para pihak yang ingin menggunakan data tersebut untuk berbagai kepentingan. Rekomendasi kebijakan yang diajukan berdasarkan hasil kajian ini adalah: (1) data yang disediakan dapat mencakup seluruh data yang berkaitan dengan pengelolaan keuangan negara; (2) data disediakan dalam struktur standar sehingga memudahkan pengguna yang membutuhkan data tersebut. Untuk cakupan organisasi pemerintahan dalam skala yang lebih besar, penelitian ini merekomendasikan agar setiap instansi pemerintah dapat menyediakan data operasionalnya dengan struktur data yang mudah untuk diolah kembali sehingga memungkinkan data tersebut digunakan untuk kepentingan publik yang lebih luas.
Potential secondary metabolite from Indonesian Actinobacteria (InaCC A758) against Mycobacterium tuberculosis

Objective(s): This study explored Indonesian Actinobacteria which were isolated from Curcuma zedoaria endophytic microbes and mangrove ecosystem for new antimycobacterial compounds. Materials and Methods: Antimycobacterial activity test was carried out against Mycobacterium tuberculosis H37Rv. Chemical profiling of secondary metabolite using Gas Chromatography-Mass Spectroscopy (GC-MS) and High Resolution-Mass Spectroscopy (HR-MS) was done to the ethyl acetate extract of active strain InaCC A758. Molecular taxonomy analysis based on 16S rRNA gene and biosynthetic gene clusters analysis of polyketide synthase (PKS) and non-ribosomal peptide synthetase (NRPS) from InaCC A758 have been carried out. Bioassay guided isolation of ethyl acetate extract was done, then structural elucidation of active compound was performed using UV-Vis, FT-IR, and NMR spectroscopy methods. Results: The chemical profiling using HR-MS revealed that InaCC A758 has the potential to produce new antimycobacterial compounds. The 16S rRNA gene sequencing showed that InaCC A758 has the closest homology to Streptomyces parvus strain NBRC 14599 (99.64%). In addition, InaCC A758 has NRPS gene and related to S. parvulus (92% of similarity), and also PKS gene related to PKS-type borrelidin of S. rochei and S. parvulus (74% of similarity). Two compounds with potential antimycobacterial were predicted as 1) Compound 1, similar to dimethenamid (C12H18ClNO2S; MW 275.0723), with MIC value of 100 µg/ml, and 2) Compound 2, actinomycin D (C62H86N12O16; MW 1254.6285), with MIC value of 0.78 µg/ml. Conclusion: Actinomycin D has been reported to have antimycobacterial activity, however the compound has been predicted to resemble dimethenamid had not been reported to have similar activity.