Hasil untuk "Practical religion. The Christian life"

Christian Franssen, Iman van Lelyveld, Bernd Heidergott

Understanding the functional roles of financial institutions within interconnected markets is critical for effective supervision, systemic risk assessment, and resolution planning. We propose an interpretable role-based clustering approach for multi-layer financial networks, designed to identify the functional positions of institutions across different market segments. Our method follows a general clustering framework defined by proximity measures, cluster evaluation criteria, and algorithm selection. We construct explainable node embeddings based on egonet features that capture both direct and indirect trading relationships within and across market layers. Using transaction-level data from the ECB's Money Market Statistical Reporting (MMSR), we demonstrate how the approach uncovers heterogeneous institutional roles such as market intermediaries, cross-segment connectors, and peripheral lenders or borrowers. The results highlight the flexibility and practical value of role-based clustering in analyzing financial networks and understanding institutional behavior in complex market structures.

Gianmarco Spinaci, Lukas Klic, Giovanni Colavizza

This study evaluates the capabilities of Multimodal Large Language Models (LLMs) and Vision Language Models (VLMs) in the task of single-label classification of Christian Iconography. The goal was to assess whether general-purpose VLMs (CLIP and SigLIP) and LLMs, such as GPT-4o and Gemini 2.5, can interpret the Iconography, typically addressed by supervised classifiers, and evaluate their performance. Two research questions guided the analysis: (RQ1) How do multimodal LLMs perform on image classification of Christian saints? And (RQ2), how does performance vary when enriching input with contextual information or few-shot exemplars? We conducted a benchmarking study using three datasets supporting Iconclass natively: ArtDL, ICONCLASS, and Wikidata, filtered to include the top 10 most frequent classes. Models were tested under three conditions: (1) classification using class labels, (2) classification with Iconclass descriptions, and (3) few-shot learning with five exemplars. Results were compared against ResNet50 baselines fine-tuned on the same datasets. The findings show that Gemini-2.5 Pro and GPT-4o outperformed the ResNet50 baselines. Accuracy dropped significantly on the Wikidata dataset, where Siglip reached the highest accuracy score, suggesting model sensitivity to image size and metadata alignment. Enriching prompts with class descriptions generally improved zero-shot performance, while few-shot learning produced lower results, with only occasional and minimal increments in accuracy. We conclude that general-purpose multimodal LLMs are capable of classification in visually complex cultural heritage domains. These results support the application of LLMs as metadata curation tools in digital humanities workflows, suggesting future research on prompt optimization and the expansion of the study to other classification strategies and models.

Ernestine Großmann, Ivor van der Hoog, Henrik Reinstädtler et al.

Dynamic graph algorithms have seen significant theoretical advancements, but practical evaluations often lag behind. This work bridges the gap between theory and practice by engineering and empirically evaluating recently developed approximation algorithms for dynamically maintaining graph orientations. We comprehensively describe the underlying data structures, including efficient bucketing techniques and round-robin updates. Our implementation has a natural parameter $λ$, which allows for a trade-off between algorithmic efficiency and the quality of the solution. In the extensive experimental evaluation, we demonstrate that our implementation offers a considerable speedup. Using different quality metrics, we show that our implementations are very competitive and can outperform previous methods. Overall, our approach solves more instances than other methods while being up to 112 times faster on instances that are solvable by all methods compared.

J. Tyler Campbell

Review of Mary Jo Iozzio, _Disability Ethics and Preferential Justice: A Catholic Perspective_

Lan Chen, Yufei Ji, Xichen Yao et al.

This paper explores the evolution of occupations within the context of industry and technology life cycles, highlighting the critical yet underexplored intersection between occupational trends and broader economic dynamics. Introducing the Occupation Life Cycle (OLC) model, we delineate five stages (i.e., growth, peak, fluctuation, maturity, and decline) to systematically explore the trajectory of occupations. Utilizing job posting data from one of China's largest recruitment platforms as a novel proxy, our study meticulously tracks the fluctuations and emerging trends in the labor market from 2018 to 2023. Through a detailed examination of representative roles, such as short video operators and data analysts, alongside emerging occupations within the artificial intelligence (AI) sector, our findings allocate occupations to specific life cycle stages, revealing insightful patterns of occupational development and decline. Our findings offer a unique perspective on the interplay between occupational evolution and economic factors, with a particular focus on the rapidly changing Chinese labor market. This study not only contributes to the theoretical understanding of OLC but also provides practical insights for policymakers, educators, and industry leaders facing the challenges of workforce planning and development in the face of technological advancement and market shifts.

Alfredo Cuzzocrea, Abderraouf Hafsaoui, Ismail Benlaredj

Multidimensional Big Data Analytics is an emerging area that marries the capabilities of OLAP with modern Big Data Analytics. Essentially, the idea is engrafting multidimensional models into Big Data analytics processes to gain into expressive power of the overall discovery task. ClustCube is a state-of-the-art model that combines OLAP and Clustering, thus delving into practical and well-understood advantages in the context of real-life applications and systems. In this paper, we show how ClustCube can effectively and efficiently realizing nice tools for supporting Multidimensional Big Data Analytics, and assess these tools in the context of real-life research projects.

Mahta Bakhshizadeh, Christian Jilek, Markus Schröder et al.

Over the years, various approaches have been employed to enhance the productivity of knowledge workers, from addressing psychological well-being to the development of personal knowledge assistants. A significant challenge in this research area has been the absence of a comprehensive, publicly accessible dataset that mirrors real-world knowledge work. Although a handful of datasets exist, many are restricted in access or lack vital information dimensions, complicating meaningful comparison and benchmarking in the domain. This paper presents RLKWiC, a novel dataset of Real-Life Knowledge Work in Context, derived from monitoring the computer interactions of eight participants over a span of two months. As the first publicly available dataset offering a wealth of essential information dimensions (such as explicated contexts, textual contents, and semantics), RLKWiC seeks to address the research gap in the personal information management domain, providing valuable insights for modeling user behavior.

Daniel Henrik Nevermann, Claudius Gros, Jay T. Lennon

The factors contributing to the persistence and stability of life are fundamental for understanding complex living systems. Organisms are commonly challenged by harsh and fluctuating environments that are suboptimal for growth and reproduction, which can lead to extinction. Species often contend with unfavorable and noisy conditions by entering a reversible state of reduced metabolic activity, a phenomenon known as dormancy. Here, we develop Spore Life, a model to investigate the effects of dormancy on population dynamics. It is based on Conway's Game of Life, a deterministic cellular automaton where simple rules govern the metabolic state of an individual based on the metabolic state of its neighbors. For individuals that would otherwise die, Spore Life provides a refuge in the form of an inactive state. These dormant individuals (spores) can resuscitate when local conditions improve. The model includes a parameter alpha that controls the survival probability of spores, interpolating between Game of Life (alpha = 0) and Spore Life (alpha = 1), while capturing stochastic dynamics in the intermediate regime (0 < alpha < 1). In addition to identifying the emergence of unique periodic configurations, we find that spore survival increases the average number of active individuals and buffers populations from extinction. Contrary to expectations, the stabilization of the population is not the result of a large and long-lived seed bank. Instead, the demographic patterns in Spore Life only require a small number of resuscitation events. Our approach yields novel insight into what is minimally required for the emergence of complex behaviors associated with dormancy and the seed banks that they generate.

Seung Hyeon Mandy Hong, May Mei

We investigate Conway's Game of Life played on the Robinson triangle Penrose tiling. In this paper, we classify all four-cell still lifes.

Yong Zher Koh, Maurice HT Ling

There has been on-going philosophical debate on whether artificial life models, also known as digital organisms, are truly alive. The main difficulty appears to be finding an encompassing and definite definition of life. By examining similarities and differences in recent definitions of life, we define life as "any system with a boundary to confine the system within a definite volume and protect the system from external effects, consisting of a program that is capable of improvisation, able to react and adapt to the environment, able to regenerate parts of it-self or its entirety, with energy system comprises of non-interference sets of secluded reactions for self-sustenance, is considered alive or a living system. Any incomplete system containing a program and can be re-assembled into a living system; thereby, converting the reassembled system for the purpose of the incomplete system, are also considered alive." Using this definition, we argue that digital organisms may not be the boundary case of life even though some digital organisms are not considered alive; thereby, taking the view that some form of digital organisms can be considered alive. In addition, we present an experimental framework based on continuity of the overall system and potential discontinuity of elements within the system for testing future definitions of life.

Jan-Willem Boiten, Christian Ohmann, Ayodeji Adeniran et al.

The Horizon 2020 project EOSC-Life brings together the 13 Life Science 'ESFRI' research infrastructures to create an open, digital and collaborative space for biological and medical research. Sharing sensitive data is a specific challenge within EOSC-Life. For that reason, a toolbox is being developed, providing information to researchers who wish to share and/or use sensitive data in a cloud environment in general, and the European Open Science Cloud in particular. The sensitivity of the data may arise from its personal nature but can also be caused by intellectual property considerations, biohazard concerns, or the Nagoya protocol. The toolbox will not create new content, instead, it will allow researchers to find existing resources that are relevant for sharing sensitive data across all participating research infrastructures (F in FAIR). The toolbox will provide links to recommendations, procedures, and best practices, as well as to software (tools) to support data sharing and reuse. It will be based upon a tagging (categorisation) system, allowing consistent labelling and categorisation of resources. The current design document provides an outline for the anticipated toolbox, as well as its basic principles regarding content and sustainability.

Abraham Loeb

The temperature of the cosmic microwave background (CMB) was equal to the surface temperature of Saturn's moon Titan, 94K, at a redshift z=33.5, after the first galaxies formed. Titan-like objects would have maintained this surface temperature for tens of Myr irrespective of their distance from a star. Titan has the potential for the chemistry of familiar life in its subsurface water ocean, as well new forms of life in the rivers, lakes and seas of liquid methane and ethane on its surface. The potential future discovery of life on Titan would open the possibility that the earliest lifeforms emerged in metal-rich environments of the earliest galaxies in the universe, merely 100 Myr after the Big Bang.

Gennady Shkliarevsky

The origin of life occupies a very important place in the study of the evolution. Its liminal location between life and non-life poses special challenges to researchers who study this subject. Current approaches in studying the origin and evolution of early life are reductive: they either reduce the domain of non-life to the domain of life or vice versa. This contribution seeks to provide a perspective that would avoid reductionism of any kind. Its goal is to outline a frame that would include both domains and their respective evolutions as its particular cases. The study examines the main theoretical perspectives on the origin and evolution of early life and provides a constructive critique of these perspectives. An objective view require viewing an object or a phenomenon from all available points of view. The goal of this contribution is not to prove the current perspectives wrong and to deny their achievements. It seeks to provide an angle that would be sufficiently wide and would allow synthesizing current perspectives for a comprehensive and objective interpretation of the origin end evolution of early life. In other words, it seeks to outline a frame for an objective view that will help understand life's place within the universe.

Christian Batrolo Burlò, Adrian Francalanza, Alceste Scalas

In concurrent and distributed systems, software components are expected to communicate according to predetermined protocols and APIs - and if a component does not observe them, the system's reliability is compromised. Furthermore, isolating and fixing protocol/API errors can be very difficult. Many methods have been proposed to check the correctness of communicating systems, ranging from compile-time to run-time verification; among such methods, session types have been applied for both static type-checking, and run-time monitoring. This work takes a fresh look at the run-time verification of communicating systems using session types, in theory and in practice. On the theoretical side, we develop a novel formal model of session-monitored processes; with it, we formulate and prove new results on the monitorability of session types, connecting their run-time and static verification - in terms of soundness (i.e., whether monitors only flag ill-typed processes) and completeness (i.e., whether all ill-typed processes can be flagged by a monitor). On the practical side, we show that our monitoring theory is indeed realisable: building upon our formal model, we develop a Scala toolkit for the automatic generation of session monitors. Our executable monitors can be used to instrument black-box processes written in any programming language; we assess the viability of our approach with a series of benchmarks.

Amanda L. du Plessis

Currently, South African state-subsidised universities experience pressure and uncertainty regarding future theological training. This became evident after the call for decolonisation of the university’s curriculum. The concepts of colonisation, decolonisation and contextualisation are inseparably linked to the issue of culture. Culture is dynamic and vibrant. Wherever a group of people is together, for instance a group of students in a university classroom, culture or a new context originates. Where past theological training – even practical theological training – has purely rested on cognitio, the contextualisation of theological training involves cognitio and experiencia fide. Experience can serve as a hermeneutical key in the explanation of scripture. Although the work of Calvin is considered as the groundwork for reformed theology, his emphasis on human experiences is often left behind. To Calvin, experiential preaching addresses the vital matter of how believers experience the truth of Christian doctrine in their specific cultural circumstances. A reformational-biblical view of contextualisation of theological training is to find a balance between experience and cognition, where grace restores nature. The aim of this article was to explore the contextualisation of the practical theological curriculum for the students (or believers) to apply the divine truth to the whole range of their personal experiences. Theological training, and for that matter, Christianity, should not only be known, understood and believed, but also felt, enjoyed and practically applied.

Noam R. Izenberg, Diana M. Gentry, David J. Smith et al.

Ancient Venus and Earth may have been similar in crucial ways for the development of life, such as liquid water oceans, land-ocean interfaces, favorable chemical ingredients and energy pathways. If life ever developed on, or was transported to, early Venus from elsewhere, it might have thrived, expanded and then survived the changes that have led to an inhospitable surface on Venus today. The Venus cloud layer may provide a refugium for extant life that persisted from an earlier more habitable surface environment. We introduce the Venus Life Equation - a theory and evidence-based approach to calculate the probability of extant life on Venus, L, using three primary factors of life: Origination, Robustness, and Continuity, or L = O x R x C. We evaluate each of these factors using our current understanding of Earth and Venus environmental conditions from the Archaean to the present. We find that the probability of origination of life on Venus would be similar to that of the Earth and argue that the other factors should be nonzero, comparable to other promising astrobiological targets in the solar system. The Venus Life Equation also identifies poorly understood aspects of Venus that can be addressed by direct observations with future exploration missions.

Vlado Valkovic, Jasmina Obhodas

The phenomenon of life is discussed within a framework of its origin as defined by four hypotheses. The 1. hypothesis says: Life, as we know, is (H-C-N-O) based and relies on the number of bulk (Na-Mg-P-S-Cl-K-Ca) and trace elements (Cr-Mn-Fe-Co-Ni-Cu-Zn-Se-Mo-I-W, and possibly Li-B-F-Si-V-As). It originated when the element abundance curve of the living matter and of the Universe, coincided. The 2. hypothesis is: Life originated in an interstellar molecular cloud with the critical role of dust particles. The 3. hypothesis arises from the 1. and states: Because of the Universe ageing, life originated only once. The dust forming planetary system and stars already contained an excess of L-type amino acids and D-type sugars, therefore, the emerging life on any planet had to be chiral. Consequently, the 4. hypothesis has been formed: Chirality is a sine qua non-condition for the emergence of life. The arguments supporting these hypotheses are put forward based on numerous astrophysical observations and physics laws.

Amie van Wyk

In this year of REFO 500 the author investigates the question why the Reformation with its ‘theology of sola Scriptura and solus Christus’ could not prevent the successive identification of church and ‘volk’ in history and why it could not prevent the fatal consequences this identification had for the gospel message of reconciliation, the exemplary existence of the church of Christ and the coming of the kingdom of God. Three examples serve as proof for this statement: the attitude of the Anglican Church in England during the second Anglo-Boer War (now called the South African War)(1899-1902); the Lutheran Church in Germany during the Second World War (1939-1945) and the Reformed Churches in South Africa during the years of apartheid (1948-1994). All three examples reveal an untenable identification of church and ‘volk’, although in varying degrees. How could that happen?   https://doi.org/10.19108/KOERS.83.1.2403

Jacob J. Scholtz

In this article, a chiastic structure in Matthew 17:14–20:34 is identified, evaluated and discussed. This structure highlights the movements of Jesus between the Mount of Transfiguration and Jerusalem as he is on his way to the cross to provide forgiveness of sins. However, this chiastic structure may also be considered in its wider, prophetic context. The structure of Matthew 17:14–20:34 fits into the larger thought or movement of Matthew 16:28–25:46. This shows Jesus’ movements from the Mount of Transfiguration to Jerusalem and beyond — not only during his first advent, but also at his second coming.

Dean H Pallant

Book review of Faith-Based Development: How Christian Organizations can make a difference, by Bob Mitchell, Foreword by Bryant L Myers, Orbis Books. 2017