Results | Kerko

Morgan, S. (2023). ‘Culture and identity – nationality and nationalism: indications for a theological reflection.’ In Memory and Identity: the proceedings of the 28th ASEACCU Annual Conference (pp. 35–55). USJ University Press.

Morgan, S. (Ed.). (2023). Pope John Paul II, ‘Memory and Identity: conversations at the dawn of a millennium.’ Memory and Identity: The Proceedings of the 28th ASEACCU Annual Conference, 80–84.

Morgan, S. (2023). The Roman Mass: From Early Christian Origins to Tridentine Reform by Uwe Michael Lang. Antiphon: A Journal for Liturgical Renewal, 27(1), 120–124. https://doi.org/10.1353/atp.2023.0004

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Wei, D., & Rafael, Â. P. (2023). Influencing Companies’ Green Governance Through the System of Legal Liability for Environmental Infractions in China and Brazil: Lighting the Way Toward BRICS Cooperation. BRICS Law Journal, 10(2), 37–67. https://doi.org/10.21684/2412-2343-2023-10-2-37-67

Peer-rewieved journal

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Wei, D., & Rafael, Â. P. (2023). China’s Approach to Sustainable Development in Free Trade Agreements. Law and Development Review, 16(2), 367–384. https://doi.org/10.1515/ldr-2023-0053

The question of how to adequately integrate environment and labor provisions in free trade agreements is still a difficult one for both States and academicians. This article explores China’s approach to environment and labor issues in free trade agreements. For reference and comparison, it relies on the European Union’s and the United States’ approaches in their respective FTAs. The article identifies China’s preference for a case-by-case approach to the inclusion of environmental chapters in its FTAs. Additionally, in most FTAs it avoids to include provisions on labor standards. These two preferences represent major divergences from the European Union’s and the United States’ approaches, characterized by inclusion of chapters on environment and labor in all their modern FTAs. The article also finds that China’s FTAs rely solely on consultations and cooperation for the implementation of environmental and labor provisions, within the framework of Joint Committees and avoid the inclusion of civil society mechanisms. Moreover, resolution of disputes relies exclusively on consultations, in a diverse procedure than the one applicable to trade disputes. Despite alignment with the European Union model, this is another major point of divergence with the United States’ model, which applies the same enforcement mechanism for both environment and labor issues and trade issues and includes the possibility of applying sanctions. Finally, the article concludes that China’s options with regards to the treatment of environment and labor concerns in its free trade agreements aligns with both its domestic governance approach and its approach to international cooperation.

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Arraut, I. (2023). Gauge symmetries and the Higgs mechanism in Quantum Finance. Europhysics Letters, 143(4), 42001. https://doi.org/10.1209/0295-5075/acedce

By using the Hamiltonian formulation, we demonstrate that the Merton-Garman equation emerges naturally from the Black-Scholes equation after imposing invariance (symmetry) under local (gauge) transformations over changes in the stock price. This is the case because imposing gauge symmetry implies the appearance of an additional field, which corresponds to the stochastic volatility. The gauge symmetry then imposes some constraints over the free parameters of the Merton-Garman Hamiltonian. Finally, we analyze how the stochastic volatility gets massive dynamically via Higgs mechanism.

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Law, C. J. (2023). Actio Ecclesiae: The Participation of the Lay Christian Faithful in the Liturgy of the Hours (c. 1174 Sec. 2). The Jurist: Studies in Church Law and Ministry, 79, 167–209.

Motta, P., Silva, B., Furtado, F., & Lobo Marques, J. A. (2022). Automatic Classification System for Subjects Exposed to Short-Term Stress Based on Facial Expression Analysis and ElectroDermal Activity [Conference]. XXVIII Brazilian Congress of Biomedical Engineering CBEB 2022.

Pordeus, D., Ribeiro, P., Zacarias, L., de Oliveira, A., Marques, J. A. L., Rodrigues, P. M., Leite, C., Neto, M. A., Peixoto, A. A., & do Vale Madeiro, J. P. (2023). Training Strategies for Covid-19 Severity Classification. In I. Rojas, O. Valenzuela, F. Rojas Ruiz, L. J. Herrera, & F. Ortuño (Eds.), Bioinformatics and Biomedical Engineering (pp. 514–527). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-34953-9_40

The COVID-19 pandemic has posed a significant public health challenge on a global scale. It is imperative that we continue to undertake research in order to identify early markers of disease progression, enhance patient care through prompt diagnosis, identification of high-risk patients, early prevention, and efficient allocation of medical resources. In this particular study, we obtained 100 5-min electrocardiograms (ECGs) from 50 COVID-19 volunteers in two different positions, namely upright and supine, who were categorized as either moderately or critically ill. We used classification algorithms to analyze heart rate variability (HRV) metrics derived from the ECGs of the volunteers with the goal of predicting the severity of illness. Our study choose a configuration pro SVC that achieved 76% of accuracy, and 0.84 on F1 Score in predicting the severity of Covid-19 based on HRV metrics.

Caldas, W. L., do Vale Madeiro, J. P., Pedrosa, R. C., Gomes, J. P. P., Du, W., & Marques, J. A. L. (2023). Noise Detection and Classification in Chagasic ECG Signals Based on One-Dimensional Convolutional Neural Networks. In R. Lee (Ed.), Computer and Information Science (pp. 117–129). Springer International Publishing. https://doi.org/10.1007/978-3-031-12127-2_8

Continuous cardiac monitoring has been increasingly adopted to prevent heart diseases, especially the case of Chagas disease, a chronic condition that can degrade the heart condition, leading to sudden cardiac death. Unfortunately, a common challenge for these systems is the low-quality and high level of noise in ECG signal collection. Also, generic techniques to assess the ECG quality can discard useful information in these so-called chagasic ECG signals. To mitigate this issue, this work proposes a 1D CNN network to assess the quality of the ECG signal for chagasic patients and compare it to the state of art techniques. Segments of 10 s were extracted from 200 1-lead ECG Holter signals. Different feature extractions were considered such as morphological fiducial points, interval duration, and statistical features, aiming to classify 400 segments into four signal quality types: Acceptable ECG, Non-ECG, Wandering Baseline (WB), and AC Interference (ACI) segments. The proposed CNN architecture achieves a $$0.90 \pm 0.02$$accuracy in the multi-classification experiment and also $$0.94 \pm 0.01$$when considering only acceptable ECG against the other three classes. Also, we presented a complementary experiment showing that, after removing noisy segments, we improved morphological recognition (based on QRS wave) by 33% of the entire ECG data. The proposed noise detector may be applied as a useful tool for pre-processing chagasic ECG signals.

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Rodrigues, P. M., Madeiro, J. P., & Marques, J. A. L. (2023). Enhancing Health and Public Health through Machine Learning: Decision Support for Smarter Choices. Bioengineering, 10(7), 792. https://doi.org/10.3390/bioengineering10070792

In recent years, the integration of Machine Learning (ML) techniques in the field of healthcare and public health has emerged as a powerful tool for improving decision-making processes [...]

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Banda, J. M., Ruiz-Garcia, A., Montoya, L. N., & Arraut, I. (2023). LatinX in AI research. Neural Computing and Applications, 35, 18097–18098. https://doi.org/10.1007/s00521-023-08790-9

We are delighted to present this special issue editorial for Neural Computing and Applications special issue on LatinX in AI research. This special issue brings together a collection of articles that explore machine learning and artificial intelligence research from various perspectives, aiming to provide a comprehensive and in-depth understanding of what LatinX researchers are working on in the field. In this editorial, we will introduce the overarching theme of the special issue, highlight the significance of the selected papers, and offer insights into the contributions made by the authors. The LatinX in AI organization was launched in 2018, with leaders from organizations in Artificial Intelligence, Education, Research, Engineering, and Social Impact with a purpose to together create a group that would be focused on “Creating Opportunity for LatinX in AI.” The main goal is to increase the representation of LatinX professionals in the AI industry. LatinX in AI Org and programs are volunteer-run and fiscally sponsored by the Accel AI Institute, 501(c)3 Non-Profit.

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Lobo Marques, J. A. (2023, May 26). Intelligent Data Fusion System for Assessing and Classifying the Long-Term Effects of Exposure to COVID-19 in Pregnancy (Long Covid): Associated Neurophysiological and Epigenetic Mechanisms and Consequences for Infant Development [Conference]. 2023 7th International Conference on Data Mining, Communications and Information Technology (DMCIT & CSMO 2023).

Lobo Marques, J. A. (2022, October 25). Developing Neuromarketing Innovative Research [Conference]. Neuromarathon 2022.

Lobo Marques, J. A. (2022, August 19). IoT-based smart health system for ambulatory maternal and fetal monitoring [Symposium]. Symposium on Intelligent Manufacturing and Artificial Intelligence Technologies (ISIMAIT 2022).

Lobo Marques, J. A. (2022). Neuroeconomics Applications Based on Multiple Monitoring Tools. [Conference]. 13th International Conference on E-business, Management and Economics (ICEME 2022).

Soares, N. (2020, August 9). Local Matters - Design Driven by Urban Conditions [Video] [Conference]. TEDx Senado Square. TED Conferences. https://www.ted.com/talks/nuno_soares_local_matters_design_driven_by_urban_conditions?utm_campaign=tedspread&utm_medium=referral&utm_source=tedcomshare

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Soares, N. (2020, October 3). Cross Border Lab: Reframing the Urban Edge - Macau x Zhuhai [Conference]. Manipal International Symposium on Design.

Soares, N. (2020, November 25). Reframing the Urban Edge - Design Strategies for Macau x Zhuhai Waterfront [Conference]. The Greater Bay Area Urban Design Conference.

Soares, N. (2021, May 15). Public Matters: Identity, Design, and Placemaking in Macau’s Inner Harbou [Conference]. Making Place in the Greater Bay Area International Symposium. https://www.youtube.com/watch?v=xAtQLOuFsQ0

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