Algorithm as Boss or Coworker? Randomized Field Experiment on Algorithmic Control and Collaboration in Gig Platform

Without a doubt, the heavy use of artificial intelligence (AI) will be involved in the future of work. Pertinent to the deployment of AI in organizations, algorithmic control is the managerial use of intelligent algorithms as a means to align individual worker behaviors with organizational objectives. While algorithmic control may facilitate efficient management of workers, it also leads to intrusive and unilateral exertion of controls over workers, also known as “algorithm as boss” phenomenon. In this study, we attempt to understand the outcomes and tradeoffs that different configurations between the AI and gig workers would produce, by conducting a randomized field experiment with one of the largest delivery rider labor unions in Asia. Overall, our study suggests that providing collaborative algorithmic control not only increases gig workers’ utility in terms of monetary rewards but also enhances their intrinsic rewards, which has the potential to benefit the gig platform as well

The Value of Remote Work in the Post-Covid Era: An Empirical Assessment of Employee Turnover and Wage

The abrupt closure of offices during the COVID-19 lockdown has allowed millions of workers to discover advantages of remote work and led to disruptive transition from conventional office settings to remote arrangements even as the pandemic recedes. However, for firms to determine whether or not to offer remote work as a permanent working arrangement, it is essential to understand how workers value and respond to remote working opportunities. In this paper, we construct a novel dataset that comprehensively details firm-level job postings and individual-level wage records and employ difference-in-differences estimation (i.e., logit and panel regression) to examine the impact of remote work on workers\u27 turnover and salary outcomes. Our main analyses indicate that, after the lockdown has been lifted, the propensity of switching is positively influenced by provision of remote work. Furthermore, workers who switch to remote work accept lower wage than those in onsite workplaces

A Novel Treatment of Postpartum Depression and Review of Literature.

Early-onset postpartum depression has been shown to have a unique neurobiological basis compared to major depressive disorder, implying a need for targeted treatments such as the recent Food and Drug Administration (FDA)-approved brexanolone. In this case report, a woman with a past medical history of major depressive disorder was diagnosed with postpartum depression due to worsening mood with suicidal and homicidal ideations. She was treated with vilazodone and aripiprazole with good effect after consideration of her past medication trials. Her regimen is unique in clinical practice and not reported in current literature for the treatment of postpartum depression. It may represent a safe and effective medication choice, especially in the context of current first-line treatments that have a high treatment failure rate. More research is needed to find treatments that address the unique challenges of postpartum women

How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging

Automatic tagging of music is an important research topic in Music Information Retrieval and audio analysis algorithms proposed for this task have achieved improvements with advances in deep learning. In particular, many state-of-the-art systems use Convolutional Neural Networks and operate on mel-spectrogram representations of the audio. In this paper, we compare commonly used mel-spectrogram representations and evaluate model performances that can be achieved by reducing the input size in terms of both lesser amount of frequency bands and larger frame rates. We use the MagnaTagaTune dataset for comprehensive performance comparisons and then compare selected configurations on the larger Million Song Dataset. The results of this study can serve researchers and practitioners in their trade-off decision between accuracy of the models, data storage size and training and inference times.Comment: The 28th European Signal Processing Conference (EUSIPCO

egaku: Enhancing the Sketching Process

Architects sketch using a translucent vellum tracing paper with a thick pencil or marker. The translucency of the paper allows architects to employ a layer-drawing technique for the exploration of ideas derived from their basic design. For example, working with a single base layer such as a map of the site, architects can design upwards of hundreds of possible variations. This ultimately leads to a great pile of drawings, which compose the piles of papers typically strewn about an architecture studio. Individually, these “referential” sketches represent small pieces of a much larger design concept [Graves 1977]. Although they are valuable,they are often cumbersome to manage during the ideation process because it interrupts the flow of ideation, and even difficult to understand when a single sketch is taken out of associated sketches

Selective-Area Growth of Heavily \u3cem\u3en\u3c/em\u3e–Doped GaAs Nanostubs on Si(001) by Molecular Beam Epitaxy

Using an aspect ratio trapping technique, we demonstrate molecular beam epitaxy of GaAs nanostubs on Si(001) substrates. Nanoholes in a SiO2 mask act as a template for GaAs-on-Si selective-area growth(SAG) of nanostubs 120 nm tall and ≤100 nm in diameter. We investigate the influence of growthparameters including substrate temperature and growth rate on SAG. Optimizing these parameters results in complete selectivity with GaAsgrowth only on the exposed Si(001). Due to the confined-geometry, strain and defects in the GaAs nanostubs are restricted in lateral dimensions, and surface energy is further minimized. We assess the electrical properties of the selectively grownGaAs nanostubs by fabricating heterogeneous p+–Si/n+–GaAs p–n diodes

Kaposi's Sarcoma-Associated Herpesvirus-Related Solid Lymphoma Involving the Heart and Brain

Since its discovery in 1994, Kaposi's sarcoma-associated herpesvirus (KSHV) has been associated with lymphoproliferative disorders, particularly in patients infected with human immunodeficiency virus (HIV). The disorders most strongly linked to KSHV are multicentric Castleman's Disease (MCD), primary effusion lymphoma, and diffuse large B-cell lymphomas. We report an unusual case of KSHV-associated lymphoma in an HIV-infected patient manifesting with myocardial and central nervous system involvement. We discuss this case in the context of increasing array of KSHV-associated lymphomas. In the HIV-infected patient with a mass lesion, a history of cutaneous Kaposi's sarcoma and prolonged immunosuppression should alert clinicians as to the possibility of KSHV-associated lymphoproliferative disorders, in order to establish a timely diagnosis

Z-Interop

Final report for the Z39.50 interoperability testbed project, phase 2

Systems analysis of multiple regulator perturbations allows discovery of virulence factors in Salmonella

<p>Abstract</p> <p>Background</p> <p>Systemic bacterial infections are highly regulated and complex processes that are orchestrated by numerous virulence factors. Genes that are coordinately controlled by the set of regulators required for systemic infection are potentially required for pathogenicity.</p> <p>Results</p> <p>In this study we present a systems biology approach in which sample-matched multi-omic measurements of fourteen virulence-essential regulator mutants were coupled with computational network analysis to efficiently identify <it>Salmonella </it>virulence factors. Immunoblot experiments verified network-predicted virulence factors and a subset was determined to be secreted into the host cytoplasm, suggesting that they are virulence factors directly interacting with host cellular components. Two of these, SrfN and PagK2, were required for full mouse virulence and were shown to be translocated independent of either of the type III secretion systems in <it>Salmonella </it>or the type III injectisome-related flagellar mechanism.</p> <p>Conclusions</p> <p>Integrating multi-omic datasets from <it>Salmonella </it>mutants lacking virulence regulators not only identified novel virulence factors but also defined a new class of translocated effectors involved in pathogenesis. The success of this strategy at discovery of known and novel virulence factors suggests that the approach may have applicability for other bacterial pathogens.</p