bluuebunny/crossref_metadata_2025_split huggingface dataset:
A partir do tempo e do outro
Authors: Nodari Francesca 
Published: February 2024

Este ensaio pretende oferecer uma revisão abrangente de um dos textos mais fecundos de Emmanuel Levinas, Le Temps et l’Autre, mostrando sua estreita conexão com as obras inéditas publicadas em Paris em novembro de 2009, a saber, os Carnets de captivité, e em articulação, entre outras, com obras como Quelques réflexions sur la philosophie de l’hitlérisme, De l’évasion e De l’existence à l’existant. Desde o início o que surge de modo muito evidente é a aguda tomada de consciência do quanto esse texto é crucial não apenas para compreender, através do que já contém em síntese, os temas da maturidade teórica do autor, mas também para lançar luz sobre nosso presente e para nos dar ferramentas para exercer uma leitura fenomenológica profunda: o desaparecimento progressivo do Outro e o esmagamento do sujeito egocêntrico em um presente contínuo são os resultados nefastos de um contexto em que a solidão, o medo, a indiferença se confirmam como a tonalidade afetiva mais difundida. O que fazer perante uma tal paralisia de si? O eu necessitado, mortal e finito somente pode se libertar desse encadeamento no “in-stante” de uma “posição” ou no momento em que, temporalizando-se, tem diante de si o Outro que se encontra para além de todas as suas possibilidades e por meio do qual faz sentido seu direito ao ser. Em seu próprio corporalizar-se, o ‘eu sou’ torna-se subitamente responsável e assignado através da feliz culpa, que se dá como transcrição temporal da “instância do instante” e na qual se realiza o desenclausuramento definitivo do Eu doravante situado no acusativo.

Palavras-chave: Levinas, tempo, outro, solidão, responsabilidade.
Justiça’s: ambiguidades – da justiça à justiça em Emmanuel Lévinas
Authors: Bernardo Fernanda 
Published: February 2024

Este breve ensaio tenta enunciar as razões teórico-filosóficas pelas quais a ambiguidade é também o timbre da justiça no âmbito do pensamento e da obra de Emmanuel Lévinas, enunciando igualmente as implicações de uma tal ambiguidade no campo do instituído.

Palavras-chave: Lévinas, Justiça, Ética, Outro, Terceiro.
O outro do “quadro referencial teórico” – uma resposta a Lorenz Puntel
Authors: Castro Fabio Caprio Leite de 
Published: February 2024

O artigo tem o objetivo de oferecer uma resposta às críticas que Puntel fez a Levinas em seu livro Ser e Deus. Iniciamos nossa abordagem com uma contextualização do pensamento punteliano. Dado esse passo inaugural, propomos uma análise de seu exame crítico à obra de Levinas em dois tempos, seguindo a ordem de seus argumentos em Ser e Deus. Primeiramente, analisamos as críticas de Puntel às “assunções fundamentais” da filosofia levinasiana, sobre teoria/conhecimento, metafísica e Ser. Depois disso, analisamos suas críticas à “concepção de transcendência e Deus” em Levinas. O título deste artigo é uma provocação a partir da pergunta: “Qual é o lugar do absolutamente Outro no quadro referencial teórico de Puntel?”. Tal como ocorre na ontoteologia e na ontologia fundamental, o absolutamente Outro não encontra lugar no quadro referencial teórico de Puntel.

Palavras-chave: Ontoteologia, Ética, Alteridade, Levinas, Puntel.
Desejo, poder e medo em Alcibíades
Authors: Souza Jovelina Maria Ramos de 
Published: February 2024

Como pensar o amor individual e seus efeitos sobre a estrutura psíquica, no jogo erótico entre Sócrates e Alcibíades, no Banquete? Minha proposição parte do imbricamento entre a esfera política, representada por Alcibíades e a filosófica, por Sócrates. O contexto político da questão proposta, no cenário do simpósio na casa de Agaton, compreende o desejo de Alcibíades em dominar Sócrates, temendo ser ridicularizado por expressar sua paixão ardorosa ao amado, a ponto de sua narrativa apresentar uma inversão dos papéis predominantes em uma tradicional relação de pederastia, ultrapassando a condição de amado (erómenos), agente passivo, para o de amante (erastés), agente ativo.
Palavras-chave: Desejo; Poder; Medo; Alcibíades; Platão.
O mito da cidade justa: considerações sobre um uso filosófico da mimese em Platão
Authors: Santos Mateus Lima dos 
Published: February 2024

O ataque de Platão à mimese parece reducionista a ponto de muitas interpretações a conceberem como uma noção essencialmente negativa. Na República (X 595c-608b), o filósofo teria definido as artes representativas através de tal conceito, expulsando os imitadores de sua cidade sob o pretexto de que engendrariam imagens distantes do inteligível (R. X 595c-602b). No entanto, a constituição política elaborada por Platão é apresentada como uma “pintura” (Ti. 19b) “imaginada em palavras” (R. VI 501e), quer dizer, ela possui o mesmo estatuto dos trabalhos miméticos que são criticados na República. O diálogo Timeu-Crítias (29b, 107b) parece dar margem para a dissolução deste aparente paradoxo ao apresentar a mimese como uma propriedade do mundo e da linguagem. Desse modo, o conceito de mimese não poderia ser reduzido a uma concepção unitária, nem tampouco negativa, como as páginas do último livro da República poderiam sugerir. O presente artigo pretende investigar a possibilidade do uso filosófico da mimese examinando sua natureza na filosofia de Platão. Parece haver uma limitação da linguagem que impede um discurso fixo e estável (epistêmico) sobre a cidade justa. Restaria, então, recorrer à mimese.

Palavras-chave: Platão; mimese; poesia; política.
La otredad y los engaños del lenguaje audiovisual según Escondido de Michael Haneke
Authors: Cabrejo José Carlos 
Published: February 2024

A partir de las semióticas generativa y tensiva, y de la narratología, este artículo aborda cómo la película Escondido del realizador Michael Haneke retrata la otredad, es decir, la visión de un sujeto con respecto a otro, distinto a él. Los puntos de vista, las figurasvideográficas /mediáticas y la iluminación son algunos de los aspectos del film que son empleados para dar una visión manipuladora, engañosa e ilusoria de aquello que es percibido como “diferente”: lo extranjero, lo inmigrante, lo “no occidental”.
Competitive coexistence of ferromagnetism and metal–insulator transition of VO2 nanoparticles
Authors: Hatano Tsuyoshi , Fukawa Akihiro , Yamamoto Hiroki , Akiba Keiichirou , Demura Satoshi , Takase Kouichi 
Published: February 2024

Abstract
We investigated the magnetic and electric properties of nanometer-sized vanadium dioxide (VO2) particles. VO2 nanoparticles were formed by milling VO2 powder. We measured the magnetic field dependence of the magnetization of the VO2 powder and nanoparticles. The VO2 powder did not exhibit ferromagnetism, whereas the VO2 nanoparticles exhibited ferromagnetism. In addition, we fabricated samples by bridging between electrodes with the VO2 nanoparticles, and the temperature dependence of their resistance was measured. Metal-insulator transitions (MITs) were observed, and the temperature range where the MIT occurred was wider than that in a typical bulk VO2. The VO2 nanoparticles exhibited these properties of ferromagnetism and MIT possibly because of the surface and size effects of the VO2 nanoparticles. These results indicate the first observation of the competitive coexistence of ferromagnetism and MIT of VO2 nanoparticles.
Fabrication of micro/submicron hierarchical structures on ceramic sheet surfaces combining 2-step imprinting and in-plane compression processes
Authors: Taira Ryoma , Tsumori Fujio 
Published: February 2024

Abstract
Many organisms have functional microstructured surfaces. Particularly, lotus leaves have hierarchical dual-scale micro/nanostructures on their surface and exhibit highly water repellent properties. We have developed techniques to fabricate patterns on inorganic material surfaces such as ceramics. Applying these techniques to fabricate hierarchical structures can make ceramic surfaces even more promising. In this paper, we prepared 2 kinds of mold with line-and-space patterns with pitches 50 μm and 2 μm and fabricated micro (rough patterns)/submicron (fine patterns) hierarchical structures on sintered ceramic sheets using a newly developed imprinting process with in-plain compression method. We proposed processes for the fabrication of such hierarchical structures, discussed the possibility of higher resolution of the patterns by comparison with the analytical results.
Securing Deep Learning Models with Autoencoder based Anomaly Detection
Authors: Kühne Joana , März Christian , G¨uhmann Clemens 
Published: February 2024

Deep learning models are on the rise in many scientific fields. Their ability to solve complex and nonlinear tasks has made them very popular. However, in comparison to physical models, they struggle with extrapolation. Hence, it is important that the input data in the production stage is similar to the data seen in training. Deviations to the training often occur in real world applications due to sensor delays and drifts, aging of the system, and communication errors such as noise. Especially in safety relevant applications, securing those models against these influences, which can be seen as anomalies, is essential.

In the past, Autoencoders, especially Variational Autoencoders (VAEs), have been proven useful for anomaly detection. Many researches focus on improving the Autoencoder’s separation ability for an optimal set anomaly threshold. However, the setting of the threshold is not trivial and is crucial for a good anomaly detection. Setting the threshold optimal becomes especially challenging if the anomaly is unknown in the training process, which is often the case in a real world application.

The proposed method combines a deep learning model with an Autoencoder. The input data is handed to the trained Autoencoder which reconstructs the input. If the data is similar to the training data, the Autoencoder should be able to reconstruct the input data accurately. Otherwise, an anomaly is suspected. The reconstruction and the original input data are both passed through the deep learning model, generating two predictions, which are then compared.

For classification and reinforcement tasks with discrete result space the prediction of non-anomalous data should lead to the same class for both samples. For those tasks this allows us to sort out samples as anomalies for which the two results are not the same, hence the threshold becomes obsolete.

For regression and continuous reinforcement tasks, the difference between the two predictions can be interpreted as a safety measure and is easier to grasp than the Autoencoder’s reconstruction error, which is typically used.

The advantage of this method is the distinction between samples that can or cannot be handled by the subsequent application model instead of just deciding if the input is anomalous. This leads to a higher robustness of the joint model and a better usage of resources of the deep leaning model. Moreover, the Autoencoder and the deep learning model are trained separately which makes the training a lot more stable than using coupled training methods.

The proposed method is proven on both, a classification and a regression task. For the classification, the publicly available UEA multivariate time series classification dataset was used. For regression, a dataset simulating a SCR catalyst as part of an automotive exhaust gas aftertreatment system was evaluated. For both tasks common anomalies such as delay and noise were applied to the data.
Algorithmically Exploiting the Knowledge Accumulated in Textual Domains for Technical Support
Authors: Pau Daniele , Tarquini Isaia , Iannitelli Matteo , Allegorico Carmine 
Published: February 2024

Processing natural language and extract relevant information in deep technical engineering domain remains an open challenge.
On the other side, manufacturers of high-value assets which often deliver product services through the equipment life, supporting maintenance, spare parts management and remote monitoring and diagnostics for issues resolution, have availability of a good amount of textual data containing technical cases with a certain engineering depth.
This paper presents a case study in which various Artificial Intelligence algorithms were applied to historical technical cases to extract know-how useful to help technicians in approaching new cases.
Initially the work process and available data are presented; the focus is on the outbound communication delivered from the technical team to the site operators, that is structured in 3 main paragraphs: event description, technical assessment, recommended actions.
The work proceeded in two parallel streams: the first concerned the analysis of event descriptions and technical assessments, aiming to detect recurring topics; the second concerned the analysis of recommended actions that technical support delivered trough years to site operators in order to create a library, which can help for enabling statistical data analysis, quality check review and being the starting point for further AI/NLP developments.
A text preprocessing was applied to both streams, consisted in defining standard and domain entities / stopwords and identifying / removing them, creating acronyms and synonyms maps in order to make context disambiguation, sentence splitting for the recommended actions, and finally text lemmatization. For every text the output of the preprocess was a series of keywords.
Then, unsupervised learning algorithms were applied. For this purpose, firstly, we applied feature extraction, bag of words (TF-IDF) and word embeddings (W2V, D2V, BERT), in order to transform our data from language domain into points in a n-features domain. Afterwards, different combinations of unsupervised algorithms were applied to split data into homogeneous groups, such as: LDA, K-means, Spectral, Affinity Propagation and HDBSCAN.
The combinations between language modeling and clustering were evaluated using the Silhouette score and visual analysis.
To validate the effectiveness, the developed NLP algorithms have been implemented into the current SW application used by technical support to perform the service. Moreover, a dedicated app to show trending topics and retrieve insightful information has been developed.
An outlook of the open technical challenges and on the future perspective of NLP applications in the work process are finally delivered.
Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine
Authors: Kandukuri Surya. T. , Shanbhag Vignesh. V. , Meyer Thomas. J. J. , Caspers Leo. W. , Noori Nadia. S. , Schlanbusch Rune 
Published: February 2024

Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce unscheduled maintenance. In literature, successful attempts have been made using acoustic emission-based condition monitoring to classify the seal wear. However, limited attempts have been made to implement automated approaches to classify seal wear using acoustic emission features. Therefore, this article presents an automated approach for rapid and computationally economical diagnosis of seal wear using acoustic emission. The experiments were performed at varying pressure conditions on a hydraulic test rig that can simulate fluid leakage conditions similar to that of hydraulic cylinders. From the acoustic emission spectrum, the frequency bands were identified with peak power and by heterodyning the signal. This technique results in 10X downsampling without losing the information of interest. Further, the signal was divided into smaller “snapshots” to facilitate rapid diagnosis. In these tests, the diagnosis was made on short-time windows, as low as 0.3 seconds in length. A set of time and frequency domain features were designed, and the Support Vector Machine (SVM) was trained on 60 % of the test cases generated with seals of three different conditions. The SVM was able to accurately classify the status irrespective of the pressure conditions, with an accuracy of ~99 %. Therefore, the proposed automated seal wear classification technique based on acoustic emission and SVM can be used for real-time monitoring of seal wear in hydraulic cylinders.
Ensemble of LSTM Networks for Fault Detection, Classification, and Root Cause Identification in Quality Control Line
Authors: Aydemir Gurkan , Avcı Adem , Kocakulak Mustafa , Bekiryazıcı Tahir 
Published: February 2024

Industrial systems with multiple subsystems are monitored via various sensors to control the ongoing process. If the number of monitoring signals collected from these sensors is high and the number of faulty samples is low, then the machine learning methods may fail to provide effective solutions for fault detection and root cause identification. This paper proposes an efficient feature selection model based on the regularized LSTM neural networks, and fault detection and classification using an ensemble of binary LSTM classifiers. The model is verified in PHME Data Challenge 2021 which provides quality-control-pipeline monitoring data.
EDUKASI KESEHATAN PENCEGAHAN SCHISTOSOMIASIS MELALUI PENGGUNAAN ALAT PELINDUNG DIRI (APD) MASYARAKAT DI DESA PURO KECAMATAN LINDU KABUPATEN SIGI SULAWESI TENGAH
Authors: Jumain  , Wahyu  , Talindong Agustinus , Parmi  , Kareba Lexy , Rikwan  
Published: February 2024

Schistosomiasis di Indonesia disebabkan Schitosoma japonicum ditemukan endemic di dua daerah Sulawesi Tengah, tepatnya di dataran Tinggi Lindu dan Dataran Tinggi Napu, penyakit ini pertama kali dilaporkan oleh Muller dan Tesch pada tahun 1937. Pada tahun yang sama, Desa Tomado dinyatakan sebagai daerah endemis schitoosomiasis oleh Brug dan Tesch. Masalah Schistosomiasis di daratan tinggi Lindu hanya menyangkut keong sebagai perantara dan cacing sebagai penular. Perilaku masyarakat dalam mendukung ataupun pencegahan terjadinya penularan penyakit sangat dipengaruhi oleh pengetahuan masyarakat terhadap penyakit tersebut. Pengetahuan yang baik terhadap suatu penyakit akan memberikan pengaruh untuk bersikap dan bahkan melakukan tindakan yang dapat mendukung upaya pencegahan penularan terhadap penyakit. Aspek sosial budaya mempunyai peranan dalam penularan schistosomiasis meliputi: pengetahuan, perilaku, kepercayaan masyarakat terhadap schistosomiasis. Tujuan dari pengabdian masyarakat ini adalah untuk memberikan pengetahuan tentang pencegahan penyakit Schistosomiasis melalui penggunaan alat pelindung diri (APD) pada masyarakat di desa Puro Kecamatan Lindu Kabupaten Sigi. Berdasarkan hasil evaluasi, peserta dapat menjawab kuesioner setelah dilakukan pelaksanaan penyuluhan dengan hasil yang sangat baik sebesar 68.18% dan hasil yang baik sebesar 31.82%. Pengabdian masyarakat dilaksanakan melalui penyuluhan diikuti oleh warga desa Poru Kecamatan Lindu Kabupaten Sigi Sulawesi Tengah
Analisis Kelayakan Usahatani Bawang Merah di Kelompoktani Sugih Jaya Desa Sumberjaya Kecamatan Tegalbuleud Kabupaten Sukabumi
Authors: Jasman Jasman 
Published: February 2024

ABSTRAK
Tujuan dari penelitian ini adalah untuk mengetahui kelayakan usahatani bawang merah di kelompoktani Sugih Jaya Desa Sumberjaya Kecamatan Tegalbuleud Kabupaten Sukabumi. Penelitian dilakukan dengan metode survei. Objek penelitiannya adalah partisipasi petani dalam program penyuluhan pertanian. Berdasarkan hasil survei awal petani yang menanam bawang merah di kelompoktani Sugih Jaya Desa Sumberjaya Kecamatan Tegalbuleud Kabupaten Sukabumi sebanyak 13 orang. Dan semuanya dijadikan responden sehingga bentuk sampling yang digunakan adalah purposive sampling, yaitu sampel dicari berdasarkan ciri-ciri tertentu dengan pertimbangan adalah petani yang menanam bawang merah. Hasil penelitian yang telah dilaksanakan pada petani bawang merah yang berada di Kecamatan Tegalbuleud dengan luasan lahan usahatani rata-rata 0,05 ha, maka dapat disimpulkan bahwa hasil analisis dari pengolahan data dihasilkan rata-rata penerimaan sebesar Rp. 15.878.462,00; pendapatan sebesar Rp. 3.868.087,00 dan usahatani bawang merah berada pada posisi layak untung dan tidak layak untuk diusahakan dengan nilai R/C ratio 1,32 dan B/C ratio 0,32.
PENGARUH SUMBER PENDAPATAN DESA TERHADAP KESEJAHTERAAN MASYARAKAT
Authors: Ramdani Ai Sahri 
Published: February 2024

This study aims to determine the effect of village income sources on community welfare. There are seven sources of village revenues: PADes, APBN, tax and retribution revenue sharing, ADD, budget and expenditure assistance, Grants and Donations, and other legitimate village revenues. With the largest revenues sourced from the state budget. With such a budget the village government is mandated to be able to prosper the community. To measure the welfare of the community, seen from the index of village independence, this index has three dimensions, namely, own ability index, joint responsibility index, and sustainability index. Furthermore, the independence of the village becomes a benchmark for how the village government can increase the productivity of the community to achieve the welfare objectives of the village community. Variables used in this research are village income and community welfare. This study uses a method of quantitatif, descriptive associative. The sample of this research is village staff, BPD, RT, and RW in Kertaraharja Village, Bojong Village, and Cikembar Village with 70 respondents. The data collection tool is a questionnaire with an ordinal scale (Likert). Based on the results of hypothesis testing using a t-test, the source of income of the village has a positive effect on the welfare of the community in Kertaraharja Village, Bojong Village, and Cikembar Village, Cikembar District, Sukabumi District, showing a positivity of 5,741.