Private Ad Modeling with DP-SGD

A well-known algorithm in privacy-preserving ML is differentially private stochastic gradient descent (DP-SGD). While this algorithm has been evaluated on text and image data, it has not been previously applied to ads data, which are notorious for their high class imbalance and sparse gradient updates. In this work we apply DP-SGD to several ad modeling tasks including predicting click-through rates, conversion rates, and number of conversion events, and evaluate their privacy-utility trade-off on real-world datasets. Our work is the first to empirically demonstrate that DP-SGD can provide both privacy and utility for ad modeling tasks

O impacto da ozonioterapia no tratamento da dor crônica não oncológica: Uma revisão integrativa da literatura: The impact of ozone therapy in the treatment of non-cancer chronic pain: An integrative literature review

Objetivo: O objetivo dessa revisão integrativa consiste em apresentar a eficácia da ozonioterapia em patologias que cursam com dor crônica, a partir da reunião de artigos e análise de seus respectivos resultados. Métodos: Trata-se de uma análise analítica e descritiva dos artigos encontrados após aplicação dos critérios de inclusão e exclusão. A inclusão dos artigos foi feita para aqueles que estivessem nos idiomas inglês, português ou espanhol, apresentassem ano de publicação entre 2017 e 2022 e espaço amostral com pacientes acima de 18 anos. Foram excluídos artigos de revisão sistemática, meta-análise, relato de caso e editorial, além daqueles em que a temática após leitura do resumo fugisse do aspecto de terapia de dor crônica não-oncológica. Ao final da triagem metodológica, foram selecionados sete artigos. Resultados e conclusão: A ozonioterapia mostrou-se eficaz no combate a dor crônica, sendo considerado um método seguro, pouco invasivo e sem efeitos colaterais dignos de nota. Porém, pela heterogeneidade dos artigos encontrados, não foi possível avaliar a eficácia para cada patologia isoladamente ou soberania entre as formas de aplicação, necessitando de mais estudos para esse fim

Bodily crises in skilled performance: Considering the need for artistic habits

Empirical evidence demonstrates that performing artists are confronted by a variety of ‘bodily crises’ (e.g., injury, attrition of habits induced by ageing) over the course of their careers (Wainwright, Williams, & Turner, 2005). Such crises may present a serious threat to the embodied subject. Unfortunately, many prominent theories of skill acquisition (e.g., Fitts & Posner, 1967) appear to evacuate the body from performance by suggesting that any form of conscious processing (i.e., paying conscious attention to one's action during motor skill execution) will disrupt habitual behaviour. As a result, few researchers have considered how performers might tackle bodily anomalies. In the current paper, we seek to address this issue by discussing a variety of the ‘crises’ that confront the performing body. We start by discussing a number of disciplinary practices that may contribute to these crises. Next, we argue that habitual movements must be open to ‘acts of creativity’ in order to maintain a productive relationship between the performing body and the environment. Then we consider what this ‘creative action’ might involve and discuss a number of approaches (e.g., mindfulness, somaesthetic awareness) that could maintain and improve one's movement proficiency. Here, our argument draws on Dewey's (1922) pragmatist philosophy and his belief that ‘intelligent habit’ was required to help people to improve their movement functioning. Finally, we consider the implications of our argument for current conceptualisations of ‘habitual’ movement and recommend that researchers explore the adaptive and flexible capacity of the performing body

Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

As large language models (LLMs) perform more difficult tasks, it becomes harder to verify the correctness and safety of their behavior. One approach to help with this issue is to prompt LLMs to externalize their reasoning, e.g., by having them generate step-by-step reasoning as they answer a question (Chain-of-Thought; CoT). The reasoning may enable us to check the process that models use to perform tasks. However, this approach relies on the stated reasoning faithfully reflecting the model's actual reasoning, which is not always the case. To improve over the faithfulness of CoT reasoning, we have models generate reasoning by decomposing questions into subquestions. Decomposition-based methods achieve strong performance on question-answering tasks, sometimes approaching that of CoT while improving the faithfulness of the model's stated reasoning on several recently-proposed metrics. By forcing the model to answer simpler subquestions in separate contexts, we greatly increase the faithfulness of model-generated reasoning over CoT, while still achieving some of the performance gains of CoT. Our results show it is possible to improve the faithfulness of model-generated reasoning; continued improvements may lead to reasoning that enables us to verify the correctness and safety of LLM behavior.Comment: For few-shot examples and prompts, see https://github.com/anthropics/DecompositionFaithfulnessPape

Prokineticin 1 signaling and gene regulation in early human pregnancy

Prokineticin 1 (PROK1) is a recently described protein with a wide range of functions including tissue-specific angiogenesis, modulation of inflammatory responses, and regulation of hematopoiesis. The objective of this study was to investigate the role of PROK1 and prokineticin receptor 1 (PROKR1) in human endometrium during early pregnancy. PROK1 and PROKR1 expression is significantly elevated in first-trimester decidua, compared with nonpregnant endometrium. Expression of PROK1 and PROKR1 was localized in glandular epithelial and various cellular compartments within the stroma. To investigate the signaling pathways and target genes activated by PROK1, we generated an endometrial epithelial cell line stably expressing PROKR1 (Ishikawa PROKR1 cells). PROK1-PROKR1 interaction induced inositol phosphate mobilization and sequential phosphorylation of c-Src, epidermal growth factor receptor, and ERK 1/2. Gene microarray analysis on RNA extracted from Ishikawa PROKR1 cells treated with 40 nm PROK1 for 8 h revealed 49 genes to be differentially regulated. A number of these genes, including cyclooxygenase (COX)-2, leukemia inhibitory factor, IL-6, IL-8, and IL-11 are regulated in the endometrium during implantation and early pregnancy. We subsequently investigated the effect of PROK1 on expression of COX-2 in Ishikawa PROKR1 cells and first-trimester decidua. COX-2 mRNA and protein expression, and prostaglandin synthesis, were elevated in response to treatment with PROK1. Moreover, expression of COX-2 by PROK1 was dependent on activation of the Gq-phospholipase C-β-cSrc-epidermal growth factor receptor-MAPK/ERK kinase pathway. These data demonstrate that PROK1 and PROKR1 expression is elevated in human decidua during early pregnancy and that PROK1-PROKR1 interaction regulates expression of a host of implantation-related genes

Population structure across scales facilitates coexistence and spatial heterogeneity of antibiotic-resistant infections.

Antibiotic-resistant infections are a growing threat to human health, but basic features of the eco-evolutionary dynamics remain unexplained. Most prominently, there is no clear mechanism for the long-term coexistence of both drug-sensitive and resistant strains at intermediate levels, a ubiquitous pattern seen in surveillance data. Here we show that accounting for structured or spatially-heterogeneous host populations and variability in antibiotic consumption can lead to persistent coexistence over a wide range of treatment coverages, drug efficacies, costs of resistance, and mixing patterns. Moreover, this mechanism can explain other puzzling spatiotemporal features of drug-resistance epidemiology that have received less attention, such as large differences in the prevalence of resistance between geographical regions with similar antibiotic consumption or that neighbor one another. We find that the same amount of antibiotic use can lead to very different levels of resistance depending on how treatment is distributed in a transmission network. We also identify parameter regimes in which population structure alone cannot support coexistence, suggesting the need for other mechanisms to explain the epidemiology of antibiotic resistance. Our analysis identifies key features of host population structure that can be used to assess resistance risk and highlights the need to include spatial or demographic heterogeneity in models to guide resistance management