Archival Data Research Articles

Unveiling Sexting’s Dark Side: Exploring the Psychological and Childhood Correlates of Coercive Sexting

Sexting has become an increasingly popular sexual behaviour, and with this, sexting coercion has become a new form of sexual victimization. Archival data from an anonymized community sample (18-30 years old), previously collected for a study related to consensual and unsolicited sexting was used for the current study. Approximately 1 in 4 participants (29%; 816/2812; Nwomen = 569, Nmen = 184) reported being pressured or threatened into sexting. Odds ratio analyses were used to assess psychological and childhood correlates of coercive sexting. Results found that gender (OR = .262, p < .001, 95% CI [.215, .320]), higher reported peer pressure (OR = 1.508, p < .001, 95% CI [1.402, 1.623]), and increased familial instability during childhood (OR = 3.378, p < .001, 95% CI [2.176, 5.245]) were significant correlates for experiencing coercive sexting. The current findings will help inform educational materials and prevention efforts to decrease rates of sexting victimization.

A conceptual framework for the government big data ecosystem (‘datagov.eco’)

The public sector, private firms, and civil society constantly create data of high volume, velocity, and veracity from diverse sources. This kind of data is known as big data. As in other industries, public administrations consider big data as the “new oil" and employ data-centric policies to transform data into knowledge, stimulate good governance, innovative digital services, transparency, and citizens' engagement in public policy. More and more public organizations understand the value created by exploiting internal and external data sources, delivering new capabilities, and fostering collaboration inside and outside of public administrations. Despite the broad interest in this ecosystem, we still lack a detailed and systematic view of it. In this paper, we attempt to describe the emerging Government Big Data Ecosystem as a socio-technical network of people, organizations, processes, technology, infrastructure, standards & policies, procedures, and resources. This ecosystem supports data functions such as data collection, integration, analysis, storage, sharing, use, protection, and archiving. Through these functions, value is created by promoting evidence-based policymaking, modern public services delivery, data-driven administration and open government, and boosting the data economy. Through a Design Science Research methodology, we propose a conceptual framework, which we call ‘datagov.eco’. We believe our ‘datagov.eco’ framework will provide insights and support to different stakeholders’ profiles, including administrators, consultants, data engineers, and data scientists.

The Productivity Spectrum: An Individual-Level Examination of Servers’ Reactions to Workload and Overwork

Purpose: This study explores the diverse reactions of human servers to variations in workload and overwork, focusing on how these stressors influence service time in a call center setting.Study design/methodology/approach: OLS regressions with fixed effects and clustered standard errors were used to analyze the impact of workload and overwork on service time at both aggregate and individual levels.Sample and data: This research utilizes archival data from a call center at a large Kuwaiti private hospital, covering 58,460 calls handled by 23 agents during October 2016.Results: At the aggregate level, workload has a negative effect on service time, indicating a general speedup response, while overwork shows no significant effect. At the individual level, responses vary significantly among agents, with some agents speeding up, others slowing down, and some demonstrating non-linear responses to workload. Overwork responses also vary, with some agents slowing down, others speeding up, and some showing flat responses.Originality/value: This study contributes to the behavioral queuing literature by emphasizing the importance of individual-level analysis in understanding server responses to workload and overwork. The findings reveal that aggregate analyses can mask significant variations in individual behaviors, crucial for optimizing call center performance. By exposing the spectrum of individual reactions, the study provides deeper theoretical and practical insights into the complex dynamics of service time under different work stressors.Research limitations/implications: The findings provide insights for optimizing call center performance, but further research is needed to validate and generalize these findings across different settings and call center environments.

Light-curve analysis and shape models of NEAs 7335, 7822, 154244, and 159402

ABSTRACT In an attempt to further characterize the near-Earth asteroid (NEA) population, we present 38 new light curves acquired between 2020 September and 2023 November for NEAs (7335) 1989 JA, (7822) 1991 CS, (154244) 2002 KL6, and (159402) 1999 AP10, obtained from observations taken at the Teide Observatory (Tenerife, Spain). With these new observations along with archival data, we computed their first shape models and spin solutions by applying the light-curve inversion method. The obtained rotation periods are in good agreement with those reported in previous works, with improved uncertainties. Additionally, besides the constant period models for (7335) 1989 JA, (7822) 1991 CS, and (159402) 1999 AP10, our results for (154244) 2002 KL6 suggest that it could be affected by a Yarkovsky–O’Keefe–Radzievskii–Paddack acceleration with a value of $\upsilon \simeq -7\times 10^{-9}$ rad d$^{-2}$. This would be one of the first detections of this effect slowing down an asteroid.

Spectral and Timing Study of V404 Cygni with CHANDRA Observations

We present the spectral and timing study of V404 Cygni from all its available Chandra observations and which recently come up in public domain of Chandra data archive. The data reduction and analysis were done using CIAO 4.14 and HEASOFT 6.30.1. The spectral analysis was done using spectral fitting package XSPEC version 12.12.1, available in the Heasoft package. The spectra of the source is fitted in the energy range 0.3 -8.0 keV using two empirical spectral models - the absorbed power law and an absorbed disk-blackbody. The X-ray binary source V404 Cygni is found to be in the quiescent state having the X-ray luminosity in the range withfew times 1032 erg s−1. The source is found to be in the hard state and is well explained by power-law model with a powerlaw photon index Γ ∼ 2 with nH in the range ∼ (0.7 -1.2) × 1022 cm−2. From timing analysis, Src-1 (V404 Cygni), in all the time bins- 0.5, 1 and 2 ks, the probability for the count rate to be constant is 0.17 ×10−33 in all the observations in the year 2021 and 2023 (ObsID 23421, ObsID 23422, ObsID 23423 & ObsID 28927). However, in the year 2017 observation it is found to be less variable. This clearly shows the presence of short-term variability in kilo-seconds time-scales with the currently available Chandra data. So, it is indicative that the binary source V404 Cygni is more likely to be variable source both in long-term (years) as well as short-term (kiloseconds) scales.

Prospective prediction of treatment outcomes in adolescents: A head-to-head comparison of alternative model for personality disorder versus borderline personality disorder.

Despite substantial evidence in support of the alternative model for personality disorder (AMPD) that has accumulated over the last decade, a gap remains in terms of head-to-head comparisons of the predictive power of Section II categorical diagnoses versus Section III AMPD diagnoses for clinical outcomes. The current study uses archival data from a naturalistic treatment outcome study in an adolescent psychiatric inpatient sample to compare the predictive power of the Section III AMPD (combined Criterion A and B assessment) versus Section II borderline personality disorder (BPD) in predicting treatment outcomes from admission to discharge. Outcomes in general psychiatric severity and emotion dysregulation were assessed in a sample of 59 adolescents (76.3% female, Mage = 15.27, SD = 1.17) at admission and at discharge on average about a month later. Results showed that, on average, predictive power of both AMPD measures and BPD were relatively modest. However, the AMPD, operationalized through combined measures of identity diffusion and maladaptive traits, was a stronger predictor of reduction in general psychiatric severity than a measure of BPD. The findings of the study add to a growing body of literature pointing to the advantages of Section III AMPD over Section II categorical diagnosis for clinical utility in predicting treatment response. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The feminization of student’s leadership in the universities: the election of the first female SRC president in KNUST

ABSTRACT Historically, women have been marginalized in student leadership in higher education institutions; nevertheless, recently, a number of women have gradually taken up leadership roles and risen to the topmost ranks previously held by only men. In Ghana, there is a gradually shifting from an exclusively men-dominated headship position for the SRC president to the inclusion of women. This article uses the glass cliff and feminization of leadership theories to establish the gradual changes in student leadership. This paper contributes to scholarship on women’s leadership by using the historic election of Yvonne Osei Adobea in 2023 as the first female SRC president in the Kwame Nkrumah University of Science and Technology to question whether this is a symbol of feminization of student leadership or a form of glass cliff. Using key informant interviews, archival data, and participant observation, this paper uniquely explored the extent to which student leadership in universities has been feminized. The paper argues that despite the overall marginalization of women’s leadership, some women have broken through the glass ceiling of student leadership. In addition, the inability of the male leadership to adequately address student needs has introduced the glass cliff phenomenon of experimentation with women’s leadership.

Search for MeV gamma-ray emission from TeV bright red dwarfs with COMPTEL

The SHALON atmospheric Cherenkov telescope has detected very high energy gamma-ray emission at TeV energies from eight red dwarfs, namely, V388 Cas, V547 Cas, V780 Tau, V962 Tau, V1589 Cyg, GJ 1078, GJ 3684 and GL 851.1. Consequently, these red dwarfs have been suggested as sources of ultra-high energy cosmic rays. In this work, we search for soft gamma-ray emission from these TeV bright red dwarfs between 0.75–30 MeV using archival data from the COMPTEL gamma-ray imaging telescope, as a follow-up to a similar search for GeV gamma-ray emission using the Fermi-LAT telescope. Although, prima-facie, we detect non-zero photon flux from three red dwarfs with high significance, these signals can attributed to contamination from nearby sources such as Crab and Cygnus, which are within the angular resolution of COMPTEL, and have been previously detected as very bright point sources at MeV energies. Therefore, we could not detect any statistically significant signal (> 3σ) from any of these eight red dwarfs from 0.75–30 MeV. We then report the 95% confidence level upper limits on the differential photon flux (at 30 MeV), integral photon flux and integral energy flux for all of the eight red dwarfs. The integral energy flux limits range between 10-11 - 10-10-ergs/cm2/s.

Employing the Historic Urban Landscape Approach for Planning of Historic Places: Directions for the Preservation of Kota Lama Gorontalo, in Indonesia

There is a general concern that the development of historic urban areas can damage cultural heritage sites. Kota Lama Gorontalo located in Gorontalo City, Gorontalo Province, Indonesia is such a cultural heritage site. This area was a bustling port city in the past. Its strategic location being between two crowded shipping areas, namely the South China Sea and Tomini Bay has made Kota Lama Gorontalo grow into an important city in Sulawesi, as the center of a traditional kingdom. This study investigates the historical layers of Kota Lama Gorontalo and threats to its preservation. It is based on the premise that by applying the Historic Urban Landscape (HUL) approach, historic city areas can be developed to meet the changing functional and technical needs while maintaining their character and identity. The research obtains data related to the past context from archival data, maps, and old photographs. Data related to the present-day context is obtained from field research. The findings show that the long period of existence of Kota Lama Gorontalo has produced a variety of cultural remains that have become the identity of the region. Undeniably, it needs to be preserved because these cultural remains are deteriorating because of the developments that do not heed conservation rules and also because of natural disasters. This paper offers recommendations for the preservation of Kota Lama Gorontalo based on the Historic Urban Landscape (HUL) approach.

AGN STORM 2. VIII. Investigating the Narrow Absorption Lines in Mrk 817 Using HST-COS Observations* * Based on observations made with the NASA/ESA Hubble Space Telescope, obtained at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555. These observations are associated with program GO-16196, and archival data

We observed the Seyfert 1 galaxy Mrk 817 during an intensive multiwavelength reverberation mapping campaign for 16 months. Here, we examine the behavior of narrow UV absorption lines seen in the Hubble Space Telescope/Cosmic Origins Spectrograph spectra, both during the campaign and in other epochs extending over 14 yr. We conclude that, while the narrow absorption outflow system (at −3750 km s−1 with FWHM = 177 km s−1) responds to the variations of the UV continuum as modified by the X-ray obscurer, its total column density (log N H = 19.5 −0.13+0.61 cm−2) did not change across all epochs. The adjusted ionization parameter (scaled with respect to the variations in the hydrogen-ionizing continuum flux) is log U H = −1.0 −0.3+0.1 . The outflow is located at a distance smaller than 38 pc from the central source, which implies a hydrogen density of n H > 3000 cm−3. The absorption outflow system only covers the continuum emission source and not the broad emission line region, which suggests that its transverse size is small (< 1016 cm), with potential cloud geometries ranging from spherical to elongated along the line of sight.

Looking forward through the rear-view mirror: A socio-technical imaginaries perspective for envisioning the Metaverse beyond the hype

We build upon the theoretical underpinnings of federated networks and adopt a socio-technical imaginaries perspective to envision the future of the Metaverse, informed by an understanding of the past and an assessment of the present. In doing so, we employ a two-step methodological approach that includes interviews with experts on Metaverse development, complemented by a historical analysis of archival data on the development of existing federated networks. Our combined data analysis unearthed four characteristics essential for the development of the Metaverse, which often operate in conjunction. By analyzing the relationship among the identified core characteristics, we further unpack two key insights for the future development of the Metaverse. Our first insight is that the fundamental attribute of federated networks is dynamism. Our second insight is that by acknowledging this dynamism, we can better understand that the development of the Metaverse will not follow a linear progression, as the development of a core characteristic may affect the advancement of others. We discuss the implications of our work for theory as well as practice and delineate an agenda for future research on the topic.

The GAPS Programme at TNG

Context. Due to observational biases, a large fraction of known exoplanets are short-period objects. However, the search for planets began more than 20 yr ago, and so it is already possible – with the use of a suitable dataset – to begin exploring a wider range of the parameter space, such as that encompassing long-period planets. Aims. The aim of this paper is to investigate the presence of long-period giant companions in two systems where one or more planets are already known and for which a long-term trend in the radial velocities (RVs) was noted in previous works. Methods. Over the last 11 yr, we have collected 122 spectra of HD 75898 and 72 spectra of HD 11506 with the High Accuracy Radial velocity Planet Searcher for the Northern hemisphere (HARPS-N) in the framework of the Global Architecture of Planetary Systems (GAPS) project, from which we derived precise RV and activity indicator measurements. Additional RV data from the High-Resolution Echelle Spectrometer (HIRES) are also used here to increase the total time span. For our RV analysis, we used PyORBIT, an advanced Python tool for the simultaneous Bayesian analysis of RVs and stellar activity indicators. In addition, we used astrometric (Gaia DR3) and imaging archive data to complete our analysis. In particular, we combined RVs and astrometry to better constrain the mass and period of the new long-period companions. Results. We find evidence for one additional long-period companion (gas giant planet or brown dwarf) in both systems considered. The new candidate for HD 75898 has a period of roughly 18 yr and a true mass of around 8.5 Mj. For HD 11506, we confirm the new object (planet d) recently announced using HIRES data but we find that the period and true mass are both almost double the values based on HIRES results (Pd ~ 72 yr, Md ~ 13 Mj). In addition, for HD 75898, we also find evidence of an activity cycle affecting RVs with a period of one order of magnitude lower than found in the literature.

An informal and transformative learning environment: The case of ODTÜ Bostan community garden in Turkey

This study explores the role of ODTÜ Bostan (METU Garden), a community garden at the Middle East Technical University in Turkey, in promoting sustainability education, ecology, and food consumption practices. For ten years, ODTÜ Bostan has been a collaborative space where participants—including students, academic and non-academic staff, and their families—grow and share food using ecological agricultural methods. This research examines how this community garden creates a setting for alternative and interdisciplinary learning, supporting practical engagement, critical thinking, and community interaction for community participants. Drawing on the Education for Sustainable Development and transformative learning frameworks, this qualitative study employs autoethnography, thematic analysis of eight semi-structured interviews, and content analysis of archival data. The findings indicate that ODTÜ Bostan not only enhances participants' sustainability competencies but also serves as an educational laboratory, demonstrating the potential of community gardens to address global challenges such as climate change and biodiversity loss. The study highlights the importance of integrating interdisciplinary and learner-centered approaches in higher education leading to collective action for societal change toward sustainability.

Hubble Space Telescope proper motions of Large Magellanic Cloud star clusters

We present proper motion (PM) measurements for a sample of 23 massive star clusters within the Large Magellanic Cloud using multi-epoch data from the Hubble Space Telescope (HST). We combined archival data from the ACS/WFC and WFC3/UVIS instruments with observations from a dedicated HST programme, resulting in time baselines between 4.7 and 18.2 yr available for PM determinations. For bright well-measured stars, we achieved nominal PM precisions of 55 μas yr−1 down to 11 μas yr−1. To demonstrate the potential and limitations of our PM data set, we analysed the cluster NGC 1850 and showcase a selection of different science applications. The precision of the PM measurements allows us to disentangle the kinematics of the various stellar populations that are present in the HST field. The cluster has a centre-of-mass motion that is different from the surrounding old field stars and also differs from the mean motion of a close-by group of very young stars. We determined the velocity dispersion of field stars to be 0.128 ± 0.003 mas yr−1 (corresponding to 30.3 ± 0.7 km s−1). The velocity dispersion of the cluster inferred from the PM data set most probably overestimates the true value, suggesting that the precision of the measurements at this stage is not sufficient for a reliable analysis of the internal kinematics of extra-galactic star clusters. Finally, we exploit the PM-cleaned catalogue of likely cluster members to determine any radial segregation between fast and slowly-rotating stars, finding that the former are more centrally concentrated. With this paper, we also release the astro-photometric catalogues for each cluster.

Sulfur monoxide (SO) as a shock tracer in protoplanetary disks: Case of AB Aurigae

Context. Sulfur monoxide (SO) is known to be a good shock tracer in molecular clouds and protostar environments, but its abundance is difficult to reproduce, even with state-of-the-art astrochemical models. Aims. We investigate the properties of the observed SO emission in the protoplanetary disk of AB Auriga, a Herbig Ae star of 2.4 M⊙ in mass, located at 156 pc. The AB Aur system is unique because it exhibits a dust trap and at least one young putative planet orbiting at about 30 au from the central star. Methods. We reduced ALMA archival data (projects 2019.1.00579.S, 2021.1.00690.S, and 2021.1.01216.S) and analyzed the three detected SO lines (SO 65 − 54, 67 − 56 and 56 − 45). We also used C17O and C18O 2–1 data to complement the interpretation of the SO data. Results. For the three SO lines, the maximum SO emission in the ring is not located in the dust trap. Moreover, the inner radius of the SO ring is significantly larger than the CO emission inner radius, ∼160 au versus ∼90 au. The SO emission traces gas located in part beyond the dust ring. This emission likely originates from shocks at the interface of the outer spirals, observed in CO and scattered light emission, as well as those in the molecular and dust ring. Also, SO is detected within the cavity, at a radius of ∼20 − 30 au and with a rotation velocity compatible with the protoplanet P1. We speculate that this SO emission originates from accretion shocks onto the circumplanetary disk of the putative protoplanet P1. Conclusions. These observations confirm that SO is a good tracer of shocks in protoplanetary disks and could serve as a powerful new tool for detecting embedded (proto)planets.

Does Speculation Matter in the Carbon Pricing Framework? Insights from the EU Emissions Trading System

To align with the global goal of keeping temperature below [Formula: see text]C, a market-based initiative, “Emissions Trading System” (ETS), has been developed to mitigate climate change. However, while the carbon allowances traded at the ETS are mostly held and traded by polluting companies, financial actors engage in “speculation”, activities that might be detrimental to the functioning of the ETS have also invested in the ETS. By drawing from the big data archive of Google Trends, we construct a news-based speculation index to proxy for the role of speculation in the dynamics of carbon pricing. Given our preliminary finding of inherent volatility and the mixed-frequency nature of the dataset, we employ the GARCH-MIDAS econometric technique to test the hypothesis that an all-inclusive framework that reflects the emission compliance and emissions non-compliance dynamics of the ETS is the most accurate approach to modeling carbon prices. We show that higher speculation in the ETS fosters higher long-term volatility in carbon prices, that speculation is a good predictor of carbon prices, and that its positive impact on carbon price returns makes the ETS an attractive investment opportunity. We provide a data-driven framework upon which the growing debate about whether the behavior of the non-compliance emission actors in the ETS endangers or benefits the functioning of the ETS can be evaluated empirically.

“Multi-layer” encryption of medical data in DNA for highly-secure storage

The exponential increasement and the attributes of medical data drive the requirement for secure medical data archiving. DNA data storage shows promise for storing sensitive and important data like medical records due to its high density and endurance. Nevertheless, current DNA data storage working scheme generally does not fully consider the data encryption, posing a risk of data corruption by routine DNA sequencing. Here, we designed a “multi-layer” encryption pipeline for medical data archiving. Initially, digital information was encrypted using Blowfish algorithm at information technology (IT) layer, followed by two-layer data encryption at the biotechnology (BT) layer. The first BT layer exploited the molecular weight of synthetic DNA or nucleoside to encrypt the key, while the second BT layer encrypted digital information within DNA sequences. Consequently, decryption involved layer-by-layer interpretation of data, including mass spectroscopy, sequencing, and Blowfish decryption, significantly enhancing data security. Utilizing mass spectroscopy to retrieve information allows for employment of both natural and unnatural nucleosides, as well as their synthetic oligonucleotides, for data storage, thereby considerably boosting scalability. Our work implies expanded flexibility of DNA-based data storage, highlighting the potential for leveraging various physical and chemical characteristics of DNA molecules to encode and access digital information.

Solar Wind Structures from the Gaussianity of Magnetic Magnitude

The heliosphere is permeated with highly structured solar wind originating from the Sun. One of the primary science objectives of Parker Solar Probe (PSP) is to determine the structures and dynamics of the plasma and magnetic fields at the sources of the solar wind. However, establishing the connection between in situ measurements and structures and dynamics in the solar atmosphere is challenging: most of the magnetic footpoint mapping techniques have significant uncertainties in the source localization of a plasma parcel observed in situ, and the PSP plasma measurements suffer from a limited field of view. Therefore, it lacks a universal tool to self-contextualize the in situ measurements. Here we develop a novel time series visualization method named Gaussianity Scalogram. Utilizing this method, by analyzing the magnetic magnitude data from both PSP and Ulysses, we successfully identify in situ structures that are possible remnants of solar atmospheric and magnetic structures spanning more than 7 orders of magnitude, from years to seconds, including polar and midlatitude coronal holes, as well as structures compatible with supergranulation, “jetlets” and “picoflares.” Furthermore, computer simulations of Alfvénic turbulence successfully reproduce the Gaussianization of magnetic magnitude, supporting the observed distribution. Building upon these discoveries, the Gaussianity Scalogram can help future studies to reveal the fractal-like fine structures in the solar wind time series from both PSP and a decades-old data archive.

Chronology and distribution of Pleistocene woolly rhinoceros: A review of the archival data from Poland

Chronology and distribution of Pleistocene woolly rhinoceros: A review of the archival data from Poland

Experimenting With the Forecasting Power of Publicity in the Predictability of Climate Change in Africa

Motivated by the fact that the majority of news outlets in Africa have not sufficiently covered climate change issues, we innovatively construct a news-based index, drawing from the big data archive of Google Trends, as a proxy for publicity in the predictability of climate change. We show that increasing publicity about climate change has the potential to cause emission reduction and slow climate change.