Hasil untuk "Manners and customs (General)"

Sophia M. Adams, James Manners, Nathan Mayne et al.

Using the Socrates photolysis scheme, we present newly calculated photolysis rates under modern Earth atmospheric conditions for species directly relevant to Earth and species relevant to different atmospheric compositions. We compare to a previous photolysis comparison exercise, namely PhotoComp 2011. Overall, we find good agreement between our results and previous work, with discrepancies usually caused by the implementation of temperature or pressure dependent quantum yields and updated cross-section data. We provide a new set of benchmark photolysis rates for additional species both for Solar irradiance and when irradiated by an M dwarf host star. In general, the higher actinic flux at far-UV and shorter wavelengths of the M dwarf compared to the Sun drives increased photolysis rates for reactions with high threshold energies. This work provides an updated set of benchmark results for further studies of photolysis in the Earth's atmosphere and that of other planets.

Aakash Gupta, Nataraj Das

Following the pandemic, customers, preference for using e-commerce has accelerated. Since much information is available in multiple reviews (sometimes running in thousands) for a single product, it can create decision paralysis for the buyer. This scenario disempowers the consumer, who cannot be expected to go over so many reviews since its time consuming and can confuse them. Various commercial tools are available, that use a scoring mechanism to arrive at an adjusted score. It can alert the user to potential review manipulations. This paper proposes a framework that fine-tunes a generative pre-trained transformer to understand these reviews better. Furthermore, using "common-sense" to make better decisions. These models have more than 13 billion parameters. To fine-tune the model for our requirement, we use the curie engine from generative pre-trained transformer (GPT3). By using generative models, we are introducing abstractive summarization. Instead of using a simple extractive method of summarizing the reviews. This brings out the true relationship between the reviews and not simply copy-paste. This introduces an element of "common sense" for the user and helps them to quickly make the right decisions. The user is provided the pros and cons of the processed reviews. Thus the user/customer can take their own decisions.

Tom Benhamou, James Cummings, Gabriel Goldberg et al.

We introduce a new class of ultrafilters which generalizes the well-known class of simple $P$-point ultrafilters. We prove that for any well-founded $σ$-directed partial order $\mathbb{D}$ there is a mild forcing extension where there is an ultrafilter $U$ on $ω$ with a base $\mathcal{B}$ such that $(\mathcal{B},\supseteq^*)\cong \mathbb{D}$. On a measurable cardinal we prove a similar result: relative to a supercompact cardinal, it is consistent that $κ$ is supercompact, and for a $κ^+$-directed well-founded poset $\mathbb{D}$, there is a ${<}κ$-directed closed $κ^+$-cc forcing extension where there is a \emph{normal} ultrafilter $U$ on $κ$ with a base $\mathcal{B}$ such that $(\mathcal{B},\supseteq^*)\cong \mathbb{D}$. These are optimal results in the class of $P$-points and realize every potential structure of a $P$-point. We apply our constructions to obtain ultrafilters with controlled Tukey-type, in particular, an ultrafilter with non-convex Tukey and depth spectra is presented, answering questions from \cite{Benhamou_2024}. Our construction also provides new models where $\mathfrak{u}_κ<2^κ$, answering questions from \cite{Benhamou_Goldberg2025}.

Juliana Franco Alves-Garbim

O presente trabalho tem como enfoque a construção literária de Conceição Evaristo pelo olhar da cultura afro-feminina, além do caráter denunciativo sobre as violências corporais e psicoemocionais decorrentes das agressões impostas às mulheres negras pelo sexismo do patriarcado. A intenção é subverter o olhar do leitor para enxergar a história das mulheres negras no Brasil sob uma ótica matrifocal, como chama a atenção a novela “Sabela”, presente na Histórias de leves enganos e parecenças (Evaristo, 2017). Para tanto, almeja-se refletir sobre a importância do papel das mulheres na sociedade brasileira e a relação com o corpo negro, que avultam nos contos de temática afrocentrada. Na análise, as bases epistemológicas contam com teóricos como Stuart Hall (2003), Lélia González (2020), dentre outros pesquisadores da temática afro-brasileira e culturalista. Os procedimentos metodológicos acionados consistem em uma análise qualitativa da novela circunscrita ao universo axiológico de Conceição Evaristo, com vias a identificar traços que evidenciam as violências simbólicas, materiais e corporais até hoje sustentadas pela cultura branca e hegemônica sobre o corpo da mulher negra. Aqui, constrói-se a hipótese de que a discussão sobre a temática fomenta o combate ao sexismo racial, ao mesmo tempo que amplia a visibilidade e a promoção da igualdade de gênero e cultural. Nesse contexto, as contribuições da pesquisa apontam para o aspecto positivo de (re)construção e fortalecimento da cultura afro-feminina, no que concerne à diversidade estético-literária e social.

Juliana Sant'Ana Toivonen

A presente pesquisa tem por objetivo traçar uma relação entre a mulher da Idade Média e a animalização a ela atribuída, com a reescrita da mulher medieval na obra Minha Senhora de Mim de Maria Teresa Horta e na obra o remorso de baltazar serapião de Valter Hugo Mãe. Esse estudo tem por finalidade compreender o emprego da animalização quando relacionado à mulher, considerando que o sentido do animal muda de tom, assim como a representação da mulher muda nas obras de ambos os autores. Buscamos compreender as formas de animalização do feminino na literatura e as suas implicações políticas, tendo como amparo teórico obras como Literatura e Animalidade de Maria Esther Maciel, Formas comuns: animalidade, literatura e biopolítica de Gabriel Giorgi e Calibã e a Bruxa: Mulheres, corpos e acumulação primitiva de Silvia Federici.

Kethlyn Sabrina Gomes Pippi, Raquel Trentin Oliveira

Em comemoração aos cinquenta anos da Revolução dos Cravos, voltamo-nos a um dos romances de Lídia Jorge (2014) que tematiza e ficcionaliza esse momento histórico: Os memoráveis. Com a proposta de elaboração de uma série documental, Ana Maria Machado, uma jovem portuguesa que vivia em Washington, retorna em 2004 à sua pátria para colher os relatos e as memórias de diversos agentes do 25 de Abril que são selecionados a partir de uma fotografia capturada no restaurante Memories, um ano depois da revolução, em agosto de 1975. O presente artigo realiza uma análise desse romance à luz dos conceitos de paródia e ironia cunhados por Linda Hutcheon (1991; 2000), no intuito de compreender o modo como a ficção de Jorge problematiza diferentes perspectivas sobre o passado e a maneira como a pós-memória (Medeiros, 2020) opera na reivindicação da geração herdeira de Abril.

Yu-Xiang Lin, Wei-Yun Ma

The goal of product copywriting is to capture the interest of potential buyers by emphasizing the features of products through text descriptions. As e-commerce platforms offer a wide range of services, it's becoming essential to dynamically adjust the styles of these auto-generated descriptions. Typical approaches to copywriting generation often rely solely on specified product attributes, which may result in dull and repetitive content. To tackle this issue, we propose to generate copywriting based on customer reviews, as they provide firsthand practical experiences with products, offering a richer source of information than just product attributes. We have developed a sequence-to-sequence framework, enhanced with reinforcement learning, to produce copywriting that is attractive, authentic, and rich in information. Our framework outperforms all existing baseline and zero-shot large language models, including LLaMA-2-chat-7B and GPT-3.5, in terms of both attractiveness and faithfulness. Furthermore, this work features the use of LLMs for aspect-based summaries collection and argument allure assessment. Experiments demonstrate the effectiveness of using LLMs for marketing domain corpus construction. The code and the dataset is publicly available at: https://github.com/YuXiangLin1234/Copywriting-Generation.

Warley Almeida Silva, Margarida Carvalho, Sanjay Dominik Jena

Dynamic facility location problems aim at placing one or more valuable resources over a planning horizon to meet customer demand. Existing literature commonly assumes that customer demand quantities are defined independently for each time period. In many planning contexts, however, unmet demand carries over to future time periods. Unmet demand at some time periods may therefore affect decisions of subsequent time periods. This work studies a novel location problem, where the decision maker places facilities over time to capture cumulative customer demand. We propose two mixed-integer programming formulations for this problem, and show that one of them has a tighter continuous relaxation and allows the representation of more general customer demand behaviour. We characterize the computational complexity for this problem, and analyze which problem characteristics result in NP-hardness. We then propose an exact branch-and-Benders-cut method, and show that this method is approximately five times faster, on average, than solving the tighter formulation directly in our computational experiments. Our results also quantify the benefit of accounting for cumulative customer demand within the optimization framework, since the corresponding planning solutions perform much better than those obtained by ignoring cumulative demand or employing myopic heuristics. We also draw managerial insights on the quality of service perceived by customers when the provider places facilities under cumulative customer demand.

Leonardo Cella

Inferential models (IMs) represent a novel possibilistic approach for achieving provably valid statistical inference. This paper introduces a general framework for fusing independent IMs in a "black-box" manner, requiring no knowledge of the original IMs construction details. The underlying logic of this framework mirrors that of the IMs approach. First, a fusing function for the initial IMs' possibility contours is selected. Given the possible lack of guarantee regarding the calibration of this function for valid inferences, a "validification" step is performed. Subsequently, a straightforward normalization step is executed to ensure that the final output conforms to a possibility contour.

Shubham Paliwal, Arushi Jain, Monika Sharma et al.

Textual image generation spans diverse fields like advertising, education, product packaging, social media, information visualization, and branding. Despite recent strides in language-guided image synthesis using diffusion models, current models excel in image generation but struggle with accurate text rendering and offer limited control over font attributes. In this paper, we aim to enhance the synthesis of high-quality images with precise text customization, thereby contributing to the advancement of image generation models. We call our proposed method CustomText. Our implementation leverages a pre-trained TextDiffuser model to enable control over font color, background, and types. Additionally, to address the challenge of accurately rendering small-sized fonts, we train the ControlNet model for a consistency decoder, significantly enhancing text-generation performance. We assess the performance of CustomText in comparison to previous methods of textual image generation on the publicly available CTW-1500 dataset and a self-curated dataset for small-text generation, showcasing superior results.

Weili Zeng, Yichao Yan, Qi Zhu et al.

Text-to-image (T2I) customization aims to create images that embody specific visual concepts delineated in textual descriptions. However, existing works still face a main challenge, concept overfitting. To tackle this challenge, we first analyze overfitting, categorizing it into concept-agnostic overfitting, which undermines non-customized concept knowledge, and concept-specific overfitting, which is confined to customize on limited modalities, i.e, backgrounds, layouts, styles. To evaluate the overfitting degree, we further introduce two metrics, i.e, Latent Fisher divergence and Wasserstein metric to measure the distribution changes of non-customized and customized concept respectively. Drawing from the analysis, we propose Infusion, a T2I customization method that enables the learning of target concepts to avoid being constrained by limited training modalities, while preserving non-customized knowledge. Remarkably, Infusion achieves this feat with remarkable efficiency, requiring a mere 11KB of trained parameters. Extensive experiments also demonstrate that our approach outperforms state-of-the-art methods in both single and multi-concept customized generation.

Pascoal Farinaccio

Este artigo busca apontar e interpretar as impressões da cidade moderna, em seu momento de emergência entre o final do século XIX e o início do século XX, dos escritores Franz Kafka e Machado de Assis. No caso de Kafka aborda-se aqui uma viagem turística a Paris realizada em 1910 e no de Machado o seu conto "Capítulo dos Chapéus", publicado em 1884. Demonstra-se como, em ambos os casos, os escritores estabelecem uma relação entre a experiência metropolitana e o surgimento de doenças no corpo e na alma.

Sina Esmaeilpour Charandabi

With the growing competition in banking industry, banks are required to follow customer retention strategies while they are trying to increase their market share by acquiring new customers. This study compares the performance of six supervised classification techniques to suggest an efficient model to predict customer churn in banking industry, given 10 demographic and personal attributes from 10000 customers of European banks. The effect of feature selection, class imbalance, and outliers will be discussed for ANN and random forest as the two competing models. As shown, unlike random forest, ANN does not reveal any serious concern regarding overfitting and is also robust to noise. Therefore, ANN structure with five nodes in a single hidden layer is recognized as the best performing classifier.

Joanna Materzynska, Josef Sivic, Eli Shechtman et al.

We introduce an approach for augmenting text-to-video generation models with customized motions, extending their capabilities beyond the motions depicted in the original training data. By leveraging a few video samples demonstrating specific movements as input, our method learns and generalizes the input motion patterns for diverse, text-specified scenarios. Our contributions are threefold. First, to achieve our results, we finetune an existing text-to-video model to learn a novel mapping between the depicted motion in the input examples to a new unique token. To avoid overfitting to the new custom motion, we introduce an approach for regularization over videos. Second, by leveraging the motion priors in a pretrained model, our method can produce novel videos featuring multiple people doing the custom motion, and can invoke the motion in combination with other motions. Furthermore, our approach extends to the multimodal customization of motion and appearance of individualized subjects, enabling the generation of videos featuring unique characters and distinct motions. Third, to validate our method, we introduce an approach for quantitatively evaluating the learned custom motion and perform a systematic ablation study. We show that our method significantly outperforms prior appearance-based customization approaches when extended to the motion customization task.

Peter Schulze

As a particular form of historiographic metafiction dealing with the Dutch colonization of Brazil, Paulo Leminski's "novel-idea" Catatau (1975) seems less concerned with factual history than with the epistemic dimensions of colonial discourse about Brazil. On the reading proposed here, Leminski's novel is understood as a decolonial "thought instrument" (V. DAS) based on a performative aesthetic. Catatau's textual strategies transform the protagonist, a fictionalised Descartes, into an echo chamber in which colonial rationalisms are denied by the appropriation of certain pretexts and genres and a prolific language of difference, resulting in a "de-interpretation" of Brazil as a way of "de-thinking" coloniality.

Carlos A. Rodriguez-Diaz, Sergio Jimenez, Daniel Bejarano et al.

In social commerce, users dialogue with each other on the topics related to the providers' products. However, the language customers use may vary from the language vendors use on their e-commerce websites and product descriptions. This situation can lead to possible misunderstandings in the social dialogue between customers, and incidental costs in the dialogue between customers and vendors. One possible reason for this difference is that words used by customers may have different meanings compared to those used by product description writers. We present a novel approach to measure this potential lexical-semantic gap for various e-commerce domains using an information-theoretical approach based on a large corpus of user reviews and product descriptions. Additionally, we use neural word embeddings to identify words with the highest semantic drift between reviews and descriptions as a tool to construct a ground truth for the task. We found that low levels of lexical-semantic gap are related to better customer satisfaction. Besides, this work is a step towards a better understanding of the effect of the use of language in e-commerce and social commerce. Potential applications of this technology could lead to better communication between customers and improvements in customer satisfaction, services, and revenue. Furthermore, this study opens up perspectives for applications in other domains with relationships beyond client-vendor, such as citizen-government and patient-healthcare system.

Carola Saavedra

O texto apresenta um breve panorama da arte e literatura indígena no Brasil, desde a chegada de Cabral até os dias atuais. Considerando que, por muitos séculos, os povos indígenas foram invisibilizados das mais diversas formas, inclusive pela cultura hegemônica "branca", que sempre ditou o cânone no Brasil, o artigo aborda a construção do "índio" na cultura brasileira, passando pelo Indigenismo e pelo Modernismo, e se concentra nas vozes indígenas que começam a (in)surgir com mais força a partir dos anos 2000: Ailton Krenak, Daniel Munduruku, Eliane Potiguara, Denilson Baniwa, Jaider Esbell, entre outros. Vozes que reivindicam o lugar que lhes foi negado na sociedade brasileira, um lugar de direito à vida, à arte e à cidadania, um lugar que aponta para novas narrativas, cada vez mais necessárias.

P. Gloor, A. Fronzetti Colladon, G. Giacomelli et al.

We investigate the impact of a novel method called "virtual mirroring" to promote employee self-reflection and impact customer satisfaction. The method is based on measuring communication patterns, through social network and semantic analysis, and mirroring them back to the individual. Our goal is to demonstrate that self-reflection can trigger a change in communication behaviors, which lead to increased customer satisfaction. We illustrate and test our approach analyzing e-mails of a large global services company by comparing changes in customer satisfaction associated with team leaders exposed to virtual mirroring (the experimental group). We find an increase in customer satisfaction in the experimental group and a decrease in the control group (team leaders not involved in the virtual mirroring process). With regard to the individual communication indicators, we find that customer satisfaction is higher when employees are more responsive, use a simpler language, are embedded in less centralized communication networks, and show more stable leadership patterns.

Kyle Lennon, Katharina Fransen, Alexander O'Brien et al.

Although LEGO sets have entertained generations of children and adults, the challenge of designing customized builds matching the complexity of real-world or imagined scenes remains too great for the average enthusiast. In order to make this feat possible, we implement a system that generates a LEGO brick model from 2D images. We design a novel solution to this problem that uses an octree-structured autoencoder trained on 3D voxelized models to obtain a feasible latent representation for model reconstruction, and a separate network trained to predict this latent representation from 2D images. LEGO models are obtained by algorithmic conversion of the 3D voxelized model to bricks. We demonstrate first-of-its-kind conversion of photographs to 3D LEGO models. An octree architecture enables the flexibility to produce multiple resolutions to best fit a user's creative vision or design needs. In order to demonstrate the broad applicability of our system, we generate step-by-step building instructions and animations for LEGO models of objects and human faces. Finally, we test these automatically generated LEGO sets by constructing physical builds using real LEGO bricks.

José Aguiar Oliveira da Silva

Há 50 anos o cineasta José Mojica Marins fez de seu personagem Zé do Caixão um fenômeno cultural através de um dos mais peculiares projetos transmídia criados no Brasil. Surgida em 1962 nas telas de cinema, em poucos anos, sua criação migrou para um popular seriado televisivo exibido na TV Tupi de São Paulo, seguido de um terceiro longa-metragem, sucesso de bilheteria e uma série de revistas em quadrinhos também de grande sucesso. Este artigo pretende refletir sobre os projetos realizados nessas três mídias entre 1968 e 1969 e que possuíam em comum o título "O estranho mundo de Zé do Caixão". Todos com texto assinado pelo roteirista Rubens Francisco Lucchetti, que reinventou a criatura de Marins, ressignificou o gênero terror e fixou a imagem do personagem no imaginário coletivo brasileiro. Com base nos estudos de François Jost e Theodor Adorno e a partir da contextualização histórica e da ênfase do conteúdo da primeira edição da revista em quadrinhos, discute-se como se ficcionou o terror de maneira a dar à obra a sua contemporaneidade e sobrevida como criação artística e produto da cultura de massa.