Miracle-dz/UniFAR-FTUs huggingface dataset:
The Work of Digital Social Re-entry in Substance Use Disorder Recovery

Early recovery after substance use disorder (SUD) treatment is a period of high risk. The majority of people will relapse, often within weeks of completing treatment. In the modern era, re-entry upon completion of treatment includes both digital and non-digital spaces. Digital spaces, including social media, present unique challenges to the recovery journey. However, research has rarely focused on this critical period and the ways in which technology affect it. We conducted in-depth interviews with 29 participants (8 recoverees and 21 support professionals) across two treatment sites to explore this gap. Using an inductive thematic approach, we gained insights into digital social re-entry, a term that we introduce to describe the process of re-engaging with social spaces online. We describe the work of digital social re-entry, which includes 1) remaking social networks, 2) maintaining boundaries, 3) managing triggering content, 4) resisting access to substances, and 5) shifting personal identity. We conclude by characterizing strategies for navigating digital social re-entry and discussing ways to better support recoverees during this aspect of their recovery journey.
Comments on world-sheet form factors in AdS/CFT

We study form factors in the light-cone gauge world-sheet theory for strings in AdS5 ×S5. We perturbatively calculate the two-particle form factor in a closed su(2)? > sector to one-loop in the near-plane-wave limit and to two-loops in the Maldacena–Swanson limit. We also perturbatively solve the functional equation which follows from the form factor axioms for the world-sheet theory and show that the ‘minimal’ solution correctly reproduces the discontinuities of the perturbative calculations. Finally we propose a prescription, valid for polynomial orders of the inverse world-sheet length, for extracting the finite-volume world-sheet matrix element from the form factors and show that the two-excitation matrix element matches with the thermodynamic limit of the spin–chain description of certain tree-level N=4? > SYM structure constants.
Gender and Participation in Open Source Software Development

Open source software represents an important form of digital infrastructure as well as a pathway to technical careers for many developers, but women are drastically underrepresented in this setting. Although there is a good body of literature on open source participation, there is very little understanding of the participation trajectories and contribution experiences of women developers, and how they compare to those of men developers, in open source software projects. In order to understand their joining and participation trajectories, we conducted interviews with 23 developers (11 men and 12 women) who became core in an open source project. We identify differences in women and men's motivations for initial contributions and joining processes (e.g. women participating in projects that they have been invited to) and sustained involvement in a project. We also describe unique negative experiences faced by women contributors in this setting in each stage of participation. Our results have implications for diversifying participation in open source software and understanding open source as a pathway to technical careers.
Exploring Opportunities to Improve Physical Activity in Individuals with Spinal Cord Injury Using Context-Aware Messaging

Spinal cord injury (SCI) affects the mobility of 250,000 people per year worldwide. Physical activity (PA) in individuals with SCI is positively associated with improved mental and physical health outcomes. Mobile technologies have been developed to motivate individuals with SCI to increase PA using activity tracking and real-time feedback. We conducted semi-structured interviews and participatory design sessions with 15 manual wheelchair users with SCI and eight of their family members/friends to investigate user impressions of future technologies that might use computer-mediated, sensor-triggered communication to motivate PA. We assessed barriers to PA and how context-aware communication could help overcome them. Participants with SCI expressed that PA tracking and communication technologies must be tailored to their specific needs. Further analysis revealed that context-aware messaging could help participants with SCI connect with others to initiate timely conversations about overcoming PA barriers, and to provide encouragement to meet their PA goals. We discuss opportunities to empower individuals with SCI with regards to PA using tailored, context-aware communication.
Youths' Perceptions of Data Collection in Online Advertising and Social Media

This project illuminates what data youth believe online advertisers and social media companies collect about them. We situate these findings within the context of current advertising regulations and compare youth beliefs with what data social media companies report collecting based on their privacy policies. Through interviews with 21 youth ages 10-17 in the United States, we learn that participants are largely aware of how their interactions on the website or app are used to inform personalized content. However, certain types of information like geolocation or how long data is retained is less clear to them. We also learn about what school and family factors influence youth to adopt apps and websites. This work has implications for design and policy related to companies' personal data collection and targeted advertising, especially for youth.
Maintaining Values

Communication technologies have significant social impacts, and it is important to consider how designers' and developers' values shape their design. Increasingly, these technologies are released as continually evolving platforms and services, so their development involves ongoing discussions and debates about unforeseen problems and future directions. However, there is a gap in research about how designers, developers, and other stakeholders engage with values during later stages of development. We investigate discussions about values in the context of open source software development, focusing on projects related to the Decentralized Web. We conducted a large-scale analysis of GitHub issues among diverse yet ideologically-related projects. We show that the percentage of discussions about values increases later in development, and we identify features and outcomes of conflicts related to open source participants' values. Finally, we propose suggestions to improve upon existing discussion practices by supporting common ground among collaborators with diverse goals, perspectives, and experiences.
Authenticity for Rent? Airbnb Hosts and the Commodification of Urban Displacement

Airbnb as an online short-term rental marketplace has had significant impact on the housing dynamics of major metropolitan regions. This work examines Airbnb's relationship with urban residential displacement through the dual phenomena of neighborhood gentrification as the loss of low-income households along with neighborhood exclusion as the preservation of elite enclaves without affordable housing options available to low-income households. I feature approximately 15 thousand unique San Francisco Airbnb listings spanning from 2016 to 2021 to investigate how Airbnb hosts employ cultural rhetoric associated with urban displacement to advertise their units' neighborhoods. I employ a computational mixed-methods design by combining natural language processing techniques with qualitative content analysis to examine how hosts differ in their cultural representations of their listing's neighborhoods by its relationship with residential displacement. My findings highlight the pervasiveness of rhetoric focusing on the authenticity and diversity of gentrifying neighborhoods contrasted to the safety and family-friendliness of exclusionary neighborhoods as a key strategy Airbnb hosts use to commercialize their listings. These findings underscore the reinforcing dynamics between regional Airbnb markets and urban displacement, with subsequent implications towards the ongoing marginalization of longstanding residential communities within contemporary cities.
Learning to Become a Volunteer Counselor: Lessons from a Peer-to-Peer Mental Health Community

Online peer-to-peer therapy sessions can be effective in improving people's mental well-being. However, online volunteer counselors may lack the expertise and necessary training to provide high-quality sessions, and these low-quality sessions may negatively impact volunteers' motivations as well as clients' well-being. This paper uses interviews with 20 senior online volunteer counselors to examine how they addressed challenges and acquired skills when volunteering in a large, mental-health support community - 7Cups.com. Although volunteers in this community received some training based on principles of active listening and motivational interviewing, results indicate that the training was insufficient and that volunteer counselors had to independently develop strategies to deal with specific challenges that they encountered in their volunteer work. Their strategies, however, might deviate from standard practice since they generally lacked systematic feedback from mentors or clients and, instead, relied on their personal experiences. Additionally, volunteer counselors reported having difficulty maintaining their professional boundaries with the clients. Even though training and support resources were available, they were underutilized. The results of this study have uncovered new design spaces for HCI practitioners and researchers, including social computing and artificial intelligence approaches that may provide better support to volunteer counselors in online mental health communities.
CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection

Human-centric fauxtography is a category of multi-modal posts that spread misleading information on online information distribution and sharing platforms such as online social media. The reason of a human-centric post being fauxtography is closely related to its multi-modal content that consists of diversified human and non-human subjects with complex and implicit relationships. In this paper, we focus on an explainable fauxtography detection problem where the goal is to accurately identify and explain why a human-centric social media post is fauxtography (or not). Our problem is motivated by the limitations of current fauxtography detection solutions that focus primarily on the detection task but ignore the important aspect of explaining their results (e.g., why a certain component of the post delivers the misinformation). Two important challenges exist in solving our problem: 1) it is difficult to capture the implicit relations and attributions of different subjects in a fauxtography post given the fact that many of such knowledge is shared between different crowd workers; 2) it is not a trivial task to create a multi-modal knowledge graph from crowd workers to identify and explain human-centric fauxtography posts with multi-modal contents. To address the above challenges, we develop CrowdGraph, a crowdsourcing based multi-modal knowledge graph approach to address the explainable fauxtography detection problem. We evaluate the performance of CrowdGraph by creating a real-world dataset that consists of human-centric fauxtography posts from Twitter and Reddit. The results show that CrowdGraph not only detects the fauxtography posts more accurately than the state-of-the-arts but also provides well-justified explanations to the detection results with convincing evidence.
Properties of O dwarf stars in 30 Doradus

Abstract We perform a quantitative spectroscopic analysis of 105 presumably single O dwarf stars in 30 Doradus, located within the Large Magellanic Cloud. We use mid-to-high resolution multi-epoch optical spectroscopic data obtained within the VLT-FLAMES Tarantula Survey. Stellar and wind parameters are derived by means of the automatic tool iacob-gbat, which is based on a large grid of fastwind models. We also benefit from the Bayesian tool bonnsai to estimate evolutionary masses. We provide a spectral calibration for the effective temperature of O dwarf stars in the LMC, deal with the mass discrepancy problem and investigate the wind properties of the sample.
FILAMENTARY STRUCTURE OF STAR-FORMING COMPLEXES

The nearest young stellar groups are associated with “hubs” of column density exceeding 1022 cm−2, according to recent observations. These hubs radiate multiple “filaments” of parsec length, having lower column density and fewer stars. Systems with many filaments tend to have parallel filaments with similar spacing. Such “hub–filament structure” is associated with all of the nine young stellar groups within 300 pc, forming low-mass stars. Similar properties are seen in infrared dark clouds forming more massive stars. In a new model, an initial clump in a uniform medium is compressed into a self-gravitating, modulated layer. The outer layer resembles the modulated equilibrium of Schmid-Burgk with nearly parallel filaments. The filaments converge onto the compressed clump, which collapses to form stars with high efficiency. The initial medium and condensations have densities similar to those in nearby star-forming clouds and clumps. The predicted structures resemble observed hub–filament systems in their size, shape, and column density, and in the appearance of their filaments. These results suggest that HFS associated with young stellar groups may arise from compression of clumpy gas in molecular clouds.
Self-referenced spectral interferometry theory

Self-referenced spectral interferometry, a newly introduced ultrafast pulse characterization is described and reviewed theoretically. Validity range, temporal dynamic, resolution and precision are detailed in the scope of different experimental set-ups. Ultimate performances for ultrashort pulses in terms of minimal or maximal pulse durations, distortions, spectral bandwidth, temporal dynamic and range are estimated, simulated and explained in detail.
Microlensing due to both gravitation and refraction as a further probe of universe evolution

Microlensings events are predicted for the light coming from cosmological sources. In addition to the microlensing due to gravitation lensing, microlensing produced also by refraction of light due to either ionized, or not, gas clouds can be considered. A detailed prediction is here given assuming that the ray of light coming from the distant source traverses a gas cloud with a King's density profile for various possible environments. We conclude that the additional deviation due to relativistic refraction is in most cases negligible compared to the gravitational deviation. Deviation due to refraction can anyway become an interesting analysis tool for future facility with great resolving power and the effects can be singled out with dedicated surveys.
Period and light‐curve fluctuations of the Kepler Cepheid V1154 Cygni

We present a detailed period analysis of the bright Cepheid-type variable star V1154 Cygni (V1154 Cyg; V = 9.1 mag, P ≈ 4.9 d) based on almost 600 d of continuous observations by the Kepler space telescope. The data reveal significant cycle-to-cycle fluctuations in the pulsation period, indicating that classical Cepheids may not be as accurate astrophysical clocks as commonly believed: regardless of the specific points used to determine the O − C values, the cycle lengths show a scatter of 0.015–0.02 d over 120 cycles covered by the observations. A very slight correlation between the individual Fourier parameters and the O − C values was found, suggesting that the O − C variations might be due to the instability of the light-curve shape. Random-fluctuation tests revealed a linear trend up to a cycle difference 15, but for long term, the period remains around the mean value. We compare the measurements with simulated light curves that were constructed to mimic V1154 Cyg as a perfect pulsator modulated only by the light travel time effect caused by low-mass companions. We show that the observed period jitter in V1154 Cyg represents a serious limitation in the search for binary companions. While the Kepler data are accurate enough to allow the detection of planetary bodies in close orbits around a Cepheid, the astrophysical noise can easily hide the signal of the light-time effect.
Interpersonal alignment of neural evidence accumulation to social exchange of confidence

Private, subjective beliefs about uncertainty have been found to have idiosyncratic computational and neural substrates yet, humans share such beliefs seamlessly and cooperate successfully. Bringing together decision making under uncertainty and interpersonal alignment in communication, in a discovery plus pre-registered replication design, we examined the neuro-computational basis of the relationship between privately-held and socially-shared uncertainty. Examining confidence-speed-accuracy trade-off in uncertainty-ridden perceptual decisions under social vs isolated context, we found that shared (i.e., reported confidence) and subjective (inferred from pupillometry) uncertainty dynamically followed social information. An attractor neural network model incorporating social information as top-down additive input captured the observed behaviour and spontaneously demonstrated the emergence of social alignment in virtual dyadic simulations. Electroencephalography showed that social exchange of confidence modulated the neural signature of perceptual evidence accumulation in the central parietal cortex and produced a sustained top-down flow of information from prefrontal to parietal cortex. Our findings offer a neural population model for interpersonal alignment of shared beliefs.
MASS AND LUMINOSITY EVOLUTION OF YOUNG STELLAR OBJECTS

A model of protostar mass and luminosity evolution in clusters gives new estimates of cluster age, protostar birthrate, accretion rate, and mean accretion time. The model assumes constant protostar birthrate, core–clump accretion, and equally likely accretion stopping. Its parameters are set to reproduce the initial mass function and to match protostar luminosity distributions in nearby star-forming regions. It obtains cluster ages and birthrates from the observed numbers of protostars and pre-main sequence (PMS) stars, and from the modal value of the protostar luminosity. In 31 embedded clusters and complexes, the global cluster age is 1–3 Myr, matching available estimates based on optical spectroscopy (OS) and evolutionary tracks. This method of age estimation is simpler than OS and is more useful for young embedded clusters where optical spectroscopy is not possible. In the youngest clusters, the protostar fraction decreases outward from the densest gas, indicating that the local star-forming age increases outward from a few 0.1 Myr in small protostar-dominated zones to a few Myr in large PMS-dominated zones.
The Effects of Variations in Nuclear Processes on Type I X-Ray Burst Nucleosynthesis

Type I X-ray bursts are violent stellar events that take place in the H/He-rich envelopes of accreting neutron stars. We have investigated the role played by uncertainties in nuclear processes on the nucleosynthesis accompanying these explosive phenomena. Two different approaches have been adopted, in the framework of postprocessing calculations. In the first one, nuclear rates are varied individually within uncertainties. Ten different models, covering the characteristic parameter space for these stellar events, have been considered. The second, somewhat complementary approach involves a Monte Carlo code in which all nuclear rates are randomly varied within uncertainty limits simultaneously. All in all, about 50,000 postprocessing calculations, with a network containing 606 nuclides (H to 113Xe) and more than 3500 nuclear processes, have been performed in this work. A brief comparison between both procedures is outlined together with an overall account of the key nuclear reactions whose uncertainties have the largest impact in our X-ray burst nucleosynthesis studies.
Sizing up entanglement in mutually unbiased bases with Fisher information

An efficient method for assessing the quality of quantum state tomography is developed. Special attention is paid to the tomography of multipartite systems in terms of unbiased measurements. Although the overall reconstruction errors of different sets of mutually unbiased bases are the same, differences appear when particular aspects of the measured system are contemplated. This point is illustrated by estimating the fidelities of genuinely tripartite entangled states.
Establishing binarity amongst Galactic RV Tauri stars with a disc

This study is a contribution in comprehending the role of binarity upon late stages of stellar evolution. We determine the binary status of six Galactic RV Tauri stars, namely DY Ori, EP Lyr, HP Lyr, IRAS 17038-4815, IRAS 09144-4933 and TW Cam, which are surrounded by a dusty disc. We also place them on the HR diagram, thereby establishing their evolutionary nature. All the six Galactic RV Tauri stars included in this study are binaries with orbital periods ranging between $\sim$ 650 and 1700 days and with eccentricities between 0.2 and 0.6. The mass functions range between 0.08 to 0.55 M$_\odot$ which points to an unevolved low mass companion. In the photometric time series we detect a long-term variation on the time-scale of the orbital period for IRAS 17038-4815, IRAS 09144-4933 and TW Cam. Our derived stellar luminosities obtained from a calibrated PLC relation indicates that all except DY Ori and EP Lyr, are post-AGB stars. DY Ori and EP Lyr are likely examples of the recently discovered dusty post-RGB stars. The orbital parameters strongly suggest that the evolution of these stars was interrupted by a strong phase of binary interaction during or even prior to the AGB. The observed eccentricities and long orbital periods among these stars provides a challenge to the standard theory of binary evolution.
Noncyclic and nonadiabatic geometric phase for counting statistics

We propose a general framework of the geometric-phase interpretation for counting statistics. Counting statistics is a scheme to count the number of specific transitions in a stochastic process. The cumulant generating function for the counting statistics can be interpreted as a ‘phase’, and it is generally divided into two parts: the dynamical phase and a remaining one. It has already been shown that for cyclic evolution the remaining phase corresponds to a geometric phase, such as the Berry phase or Aharonov–Anandan phase. We here show that the remaining phase has also an interpretation as a geometric phase even in noncyclic and nonadiabatic evolution.
Microstimulation of sensory cortex engages natural sensory representations

Cortical activity patterns occupy a small subset of possible network states. If this is due to intrinsic network properties, microstimulation of cortex should evoke activity patterns resembling those observed during natural sensory input. Here, we use optical microstimulation of virally transfected layer 2/3 pyramidal neurons in mouse primary vibrissal somatosensory cortex to compare artificially evoked activity with natural activity evoked by whisker touch and movement (‘whisking’). We find that photostimulation engages touch but not whisking responsive neurons more than expected by chance. Neurons that respond to photostimulation and touch or to touch alone exhibit higher spontaneous pairwise correlations than purely photoresponsive neurons. Exposure to several days of simultaneous touch and optogenetic stimulation raises both overlap and spontaneous activity correlations among touch and photoresponsive neurons. We thus find that cortical microstimulation engages existing cortical representations and that repeated co-presentation of natural and artificial stimulation enhances this effect.