125878 research outputs found
Sort by
En los territorios de lo extraño (a manera de introducción)
Del Nuevo Mundo hasta la contemporaneidad weird, de lo exótico americano a la extranjería
del migrante, este volumen recorre los caminos de lo extraño en la región latinoamericana.
Lo hace a través de la literatura y otras artes, entrelazando política y poesía, y moviéndose
constantemente entre el centro y los márgenes del canon y del continente. Sin pretender agotarlos,
destaca la increíble riqueza de estos itinerarios mediante una multiplicidad
de enfoques críticos. Aunque este trabajo solo es una orientación, se confía en la posibilidad de haber despertado el deseo de nuevas exploraciones y más estudios sobre los vastos y aún
misteriosos territorios de lo extraño
Advanced extraction techniques for sustainable recovery of health-promoting compounds from carob leaves
Carob (Ceratonia siliqua) leaves (CSL) are an underutilized source of health-promoting compounds, including siliquapyranone, 1,2,3,6-tetragalloylglucose and myricitrin. CSL and its main compounds revealed remarkable antioxidant and hypoglycaemic potential. This study presents a systematic optimization of pressurized hot water extraction (PHWE) and probe-based ultrasound-assisted extraction (probe-UAE) as sustainable strategies for the recovery of CSL bioactive compounds. Using response surface methodology combined with UHPLC-UV profiling, the main parameters influencing extraction efficiency and compound stability were identified. Optimal PHWE (98 °C, three 5 min-cycles) and probe-UAE (ethanol 52 %, 100 g L–1, 20 min) conditions ensured exhaustive recovery of target compounds with negligible formation of extraction artefacts (gallic acid and digalloylglucoses), preserving antioxidant and α-glucosidase inhibitory activities. Compared with conventional techniques, PHWE and probe-UAE demonstrated a low environmental footprint, reducing extraction time, solvent use and environmental impact, while improving extraction yield and extract quality. PHWE generated fully aqueous extracts suitable for direct application, whereas probe-UAE offered high energy efficiency and operational simplicity. These findings demonstrate the potential of green extraction techniques for the sustainable valorization of carob leaves, providing high-value bioactive extracts and supporting the development of healthy food products. This study offers novel insights into the exploitation of untapped plant biomasses and provides a practical approach for integrating green innovations into the food and nutraceutical sectors
Trading strategy for Bitcoin and Ethereum by neural network model
Automatic trading systems cope with the needs of put out emotional biases from the trading operation of public assets. These systems place orders based on a price model that forecasts the future price of an asset. Those systems, developed by edge funds and institutional investors, are not available to the public, and extensive research in this field is worth the effort. In this research, we developed a short-term price model based on a neural network and used it to forecast the near-future price direction. More in depth, we introduced the feature extraction process and parametric labeling strategy to build an ML ready dataset that includes more than 400 cryptocurrencies. The model is then validated by building a trading strategy on the two most capitalized cryptos at the time of writing: Bitcoin and Ethereum. The validation uses a trading simulation that spans six years of historical data for Bitcoin and Ethereum, including both retrospective (backtest) and prospective (forward test) evaluations. The results demonstrate that the neural network-based model exhibits a very good generalization to patterns found in historical data, enabling predictions in future data within the trading simulation. In addition, a comprehensive analysis of the importance of features was conducted to enhance the interpretability and performance of the model. Finally, we test our model in a simulated trading session; it shows that, with a simple buy-only strategy plus a stop loss, the trading system limits the draw dawn during bear markets
An Evidence-Based Study on the Relationship of Software Engineering Practices on Code Smells in Python ML Projects
The rapid adoption of Machine Learning (ML) technologies has introduced new challenges for code quality. Code smells, i.e., suboptimal design and implementation choices applied when developing source code, represent a particularly prevalent problem. While software engineering (SE) practices are often recommended to improve maintainability, their actual impact on code smells in ML projects remains unclear. In this paper, we present an evidence-based empirical study of 566 real-world Python ML projects from the NICHE dataset, labeled according to adherence to eight established SE practices. Using static analysis and statistical testing, we assess the relationship between these practices and the presence of ten Python-specific code smells. Our results show that projects adopting SE practices exhibit significantly fewer code smells. In particular, Continuous Integration is negatively correlated with the Complex Container Comprehension smell. These findings highlight the importance of engineering discipline in managing code quality in ML development
"'Melancholy, Thoughtful Face': Dante by Henry Wadsworth Longfellow".
The essay 'Dante, by Henry Wadsworth Longfelow, was writen in early 1838—during
his teaching years at Harvard University—and first published in the reprint (dated
1857) of the prose-volume Outre-Mer, as a chapter of the Essays on the Italian and French
Languages and Poetry. The same essay was recently re-proposed — as an autonomous
textin the definitive edition of the translation of the Divine Comedy that Longfel-
low published in 1867. It was placed at the opening of the fourth volume, together
with other literary illustrations' accompanying the work rendered in English. Along
the lines of a fictionalized biography, Longfelow enriches 'Dante's portrait with pre-
cise references to the time in which the Florentine poet lived, 'a time of violence,
when the law of force prevailed. Furthermore, Longfelow reconstructs the Italian
literary tradition before Dante, from the 'first of the Italian poets' Ciulo d'Alcamo
to Guido Guinizelli and Guido Cavalcanti. In addition, the poet-translator quotes
from Dante's most important works, paying particular attention to the Divine Com-
edy. Finaly, seven sonnets by Longfellow-translated for the first time into Italian—
are presented as a witness of fictional influence of the Italian poet on the American one
The “Black Box” of Digital Finance: An Umbrella Review of the Challenges and Drawbacks in Advancing Financial Inclusion
In recent years, scholars have highlighted the pivotal role of digital finance in promoting financial inclusion among underserved populations, alleviating urban poverty, supporting individuals and households, and fostering green economies. However, despite these benefits, digital finance also presents challenges and limitations, including the risk of triggering financial crises. Additionally, its antecedents, dynamics, and global impacts remain underexplored. This article addresses this gap using an umbrella review methodology—a “review of reviews”—which consolidates insights from existing literature to provide a comprehensive perspective. To achieve this, 47 systematic and bibliometric reviews published in Chartered Association of Business Schools (ABS)-ranked journals were analysed. The analysis identifies five key barriers to financial inclusion via digital finance: accessibility, technological and ethical, and economic and structural challenges, as well as regulatory and policy barriers, and social and behavioural factors. This review introduces the concept of a digital finance “black box”, highlighting the uncertainty surrounding the outputs of financial inclusion initiatives resulting from policy interventions. It concludes by suggesting future research directions and offering recommendations for policymakers and practitioners
Innovative HRM Practices and Stress Management
The utilization of technology in professional environments and its effect
on well-being are subjects of mounting interest among individuals, organi-
zations, and societies. Conceptually, the attribution of well-being at its
broadest level combines the concepts of “feeling good” and “functioning
effectively.” Attention to well-being has become a global concern for individ-
uals, organizations, and states alike. The UN has included “Good Health and
Well-being” among its SDGs. This phenomenon carries profound implica-
tions for organizational entities, as evidenced by numerous studies that point
to work-related stress as a primary contributor to long-term absenteeism.
At both the individual and organizational levels, it is necessary to acknowl-
edge that job quality plays a crucial role in determining employee satisfac-
tion and productivity. Consequently, it is imperative that HR practices are
meticulously formulated to engender work environments that are conducive
to well-being. In addition to major demographic trends that may influence
workplace well-being – such as an ageing workforce and the growing empha-
sis on extending working life (Vickerstaff et al., 2008; Loretto & Vickerstaff,
2013), increased geographical mobility of the labour force (Redman et al.,
2009), and concerns about job insecurity (De Cuyper et al., 2008) – the
intensive use of technology has made HRM an increasingly complex practice
(Galdiero & Zifaro, 2025). Consequently, employee well-being is becoming
central to HR management and is closely linked to key outcomes such as
corporate performance. Consequently, innovative policies can be adopted to
mitigate the negative effects of technology use in the workplace. The present
chapter seeks to examine which HR practices are most effective across differ-
ent organizational contexts to maximize positive outcomes for well-being,
given the ever-growing technological intensity within organizations. These
dynamics have precipitated substantial changes that are reshaping both the
role of HR professionals and their practices. These changes occur within the
broader transformation of the nature of work itself
Technostress and Organizational Sustainability: Stress Management, Emotion, and Well-being
Organizations today are increasingly influenced by the stressors inherent in modern work environments, particularly those stemming from the growing reliance on technology. Negative stress, or distress, imposes a significant toll on individual health and well-being, social relationships, and organizational health and productivity. This text examines the issue of work stress from the perspective of organizational sustainability, exploring the levels and consequences of distress, as well as strategies that individuals and organizations can employ to mitigate its negative effects. We delve into the sources of technostress, a specific type of work-related stress caused by technology, and discuss various stress management interventions and organizational practices that promote individual health and well-being. By understanding the challenges posed by work stress and implementing effective strategies, organizations can create healthier, more productive work environments and contribute to the overall well-being of their employees and the societies in which they operate