Silence Is Golden: Excluding Internal Complaints from ERISA Section 510

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British Modernist Narrative Middles

Middles play a key role in shaping narrative form. However, while Edward Said has shown how beginnings shape the novel and a wide range of intellectual endeavors in Beginnings: Intention and Method, and Frank Kermode has explored the pull of the ending on Western narrative in The Sense of an Ending, there has been no comparable study of the middle. Defining the narrative middle as a central piece of text that has a transitional or transformational function, British Modernist Narrative Middles draws attention to the ways narrative middles have been used to construct distinctly modernist narratives through transformations of narrative form and technique. The various techniques employed in modernist narrative middles are demonstrated through close readings of three canonical modernist texts: Joseph Conrad's Lord Jim, Henry James's The Golden Bowl, and Virginia Woolf's To the Lighthouse; as well as three British neo-modernist texts: Rayner Heppenstall's Saturnine, B. S. Johnson's The Unfortunates, and Brigid Brophy's In Transit. While not all modernist texts employ prominent narrative middles, when they do, these middles can be crucial to our understanding both of these novels' narrative form and how they grapple with the major thematic and poetic concerns of modernism

A Large Copper Artefacts Assemblage of Fazael, Jordan Valley: New Evidence of Late Chalcolithic Copper Metallurgy in the Southern Levant

Late Chalcolithic metallurgy developed in the southern Levant simultaneously with other crafts and new social institutions, reflecting advances in social organization, cults and technology. Until recently, copper items were mostly found in the Negev and Judean Desert, while other areas, specifically the Jordan Valley, were considered poor, with limited copper finds. Recent excavations at Late Chalcolithic Fazael in the Jordan Valley yielded dozens of copper items that allow for the first time a comprehensive study of copper items from this area. The assemblage is one of the largest of any site in the Late Chalcolithic period and includes most of the known components of the Late Chalcolithic copper industry. The current paper presents the new metallurgical discoveries from the Fazael Basin and discusses their significance to our understanding of the Late Chalcolithic copper industry.Pozno halkolitska metalurgija se je razvila v južni Levanti sočasno z drugimi obrtmi in novimi družbenimi inštitucijami, kar odraža napredek v družbeni organizaciji, kultu in tehnologiji. Do nedavnega so bakrene predmete večinoma našli v Negevski in Judejski puščavi, medtem ko so druga območja, med njimi zlasti dolina reke Jordan, veljala za prostor z omejenimi najdbami iz bakra. Nedavno so izkopavanja na pozno halkolitskem najdišču Fazael v dolini reke Jordan prinesla na desetine bakrenih predmetov, ki nam prvič omogočajo celovito študijo bakrenih izdelkov s tega območja. Ta zbir je eden največjih iz kateregakoli najdišča iz časa poznega halkolitika in vključuje večino znanih sestavnih delov industrije bakra iz tega obdobja. V članku predstavljamo nove izsledke o metalurgiji bakra iz bazena Fazael in razpravljamo o pomenu teh najdb pri razumevanju te industrije v poznem halkolitiku

Disassortative Age-Mixing Does Not Explain Differences in HIV Prevalence between Young White and Black MSM: Findings from Four Studies

Objective Age disassortativity is one hypothesis for HIV disparities between Black and White MSM. We examined differences in age mixing by race and the effect of partner age difference on the association between race and HIV status. Design We used data from four studies of MSM. Participants reported information about recent sexual partners, including age, race, and sexual behavior. Two studies were online with a US sample and two focused on MSM in Atlanta. Methods We computed concordance correlation coefficients (CCCs) by race across strata of partner type, participant HIV status, condom use, and number of partners. We used Wilcoxon ranksum tests to compare Black and White MSM on partner age differences across five age groups. Finally, we used logistic regression models using race, age, and partner age difference to determine the odds ratio of HIV-positive serostatus. Results Of 48 CCC comparisons, Black MSM were more age-disassortative than White MSM in only two. Furthermore, of 20 comparisons of median partner age, Black and White MSM differed in two age groups. One indicated larger age gaps among the Black MSM (18-19). Prevalent HIV infection was associated with race and age. Including partner age difference in the model resulted in a 2% change in the relative odds of infection among Black MSM. Conclusions Partner age disassortativity and partner age differences do not differ by race. Partner age difference offers little predictive value in understanding prevalent HIV infection among Black and White MSM, including diagnosis of HIV-positive status among self-reported HIVnegative individuals

Measuring Population Transmission Potential for HIV: An Alternative Metric of Transmission Risk in Men who have Sex with Men (MSM) in the US

Background Various metrics for HIV burden and treatment success [e.g. HIV prevalence, community viral load (CVL), population viral load (PVL), percent of HIV-positive persons with undetectable viral load] have important public health limitations for understanding disparities. Methods and Findings Using data from an ongoing HIV incidence cohort of black and white men who have sex with men (MSM), we propose a new metric to measure the prevalence of those at risk of transmitting HIV and illustrate its value. …See full text for complete abstract

Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability

In recent years, the topic of explainable machine learning (ML) has been extensively researched. Up until now, this research focused on regular ML users use-cases such as debugging a ML model. This paper takes a different posture and show that adversaries can leverage explainable ML to bypass multi-feature types malware classifiers. Previous adversarial attacks against such classifiers only add new features and not modify existing ones to avoid harming the modified malware executable's functionality. Current attacks use a single algorithm that both selects which features to modify and modifies them blindly, treating all features the same. In this paper, we present a different approach. We split the adversarial example generation task into two parts: First we find the importance of all features for a specific sample using explainability algorithms, and then we conduct a feature-specific modification, feature-by-feature. In order to apply our attack in black-box scenarios, we introduce the concept of transferability of explainability, that is, applying explainability algorithms to different classifiers using different features subsets and trained on different datasets still result in a similar subset of important features. We conclude that explainability algorithms can be leveraged by adversaries and thus the advocates of training more interpretable classifiers should consider the trade-off of higher vulnerability of those classifiers to adversarial attacks.Comment: Accepted as a conference paper at IJCNN 202