Hasil untuk "Early Christian literature. Fathers of the Church, etc."

Muzaffer Adak

It is noteworthy that symmetric teleparallel gravity has attracted considerable attention in recent years. A survey of the literature indicates that this surge of interest became particularly prominent around 2017 and 2018. However, together with my students and collaborators, we published a series of systematic and pioneering papers on this subject between 2004 and 2013. This article aims to clarify the early geometric development of symmetric teleparallel gravity preceding the recent surge of interest in $f(Q)$ gravity. For the sake of completeness and coherence, we will also briefly review our work on this topic carried out after 2018. In the final paragraph, we will write our personal perspectives on the future of symmetric teleparallel geometry.

Yangxinyu Xie, Tao Wang, Soham Mallick et al.

While LLMs have seen substantial improvement in reasoning capabilities, they also sometimes overthink, generating unnecessary reasoning steps, particularly under uncertainty, given ill-posed or ambiguous queries. We introduce statistically principled early stopping methods that monitor uncertainty signals during generation to mitigate this issue. Our first approach is parametric: it models inter-arrival times of uncertainty keywords as a renewal process and applies sequential testing for stopping. Our second approach is nonparametric and provides finite-sample guarantees on the probability of halting too early on well-posed queries. We conduct empirical evaluations on reasoning tasks across several domains and models. Our results indicate that uncertainty-aware early stopping can improve both efficiency and reliability in LLM reasoning, and we observe especially significant gains for math reasoning.

Angel Narro

This article examines the hagiographic motif of the lament for a missing girl, tracing its origins and evolution from the Acts of Paul and Thecla through various Byzantine hagiographic texts, including both the Life of Eugenia and its metaphrastic version, the Life of Apollinaria, and the Life of Euphrosyne. It explores how this motif, initially secondary in the APTh, becomes central in later texts and demonstrates direct textual and thematic connections between these works. The analysis highlights the continuity and adaptation of literary and rhetorical elements, emphasizing their significance in the development of Byzantine hagiography.

Christian Marius Lillelund, Shi-ang Qi, Russell Greiner et al.

We argue that many survival analysis and time-to-event models are incorrectly evaluated. First, we survey many examples of evaluation approaches in the literature and find that most rely on concordance (C-index). However, the C-index only measures a model's discriminative ability and does not assess other important aspects, such as the accuracy of the time-to-event predictions or the calibration of the model's probabilistic estimates. Next, we present a set of key desiderata for choosing the right evaluation metric and discuss their pros and cons. These are tailored to the challenges in survival analysis, such as sensitivity to miscalibration and various censoring assumptions. We hypothesize that the current development of survival metrics conforms to a double-helix ladder, and that model validity and metric validity must stand on the same rung of the assumption ladder. Finally, we discuss the appropriate methods for evaluating a survival model in practice and summarize various viewpoints opposing our analysis.

Laura Hucker, Markus Reiß

We consider estimators obtained by iterates of the conjugate gradient (CG) algorithm applied to the normal equation of prototypical statistical inverse problems. Stopping the CG algorithm early induces regularisation, and optimal convergence rates of prediction and reconstruction error are established in wide generality for an ideal oracle stopping time. Based on this insight, a fully data-driven early stopping rule $τ$ is constructed, which also attains optimal rates, provided the error in estimating the noise level is not dominant. The error analysis of CG under statistical noise is subtle due to its nonlinear dependence on the observations. We provide an explicit error decomposition and identify two terms in the prediction error, which share important properties of classical bias and variance terms. Together with a continuous interpolation between CG iterates, this paves the way for a comprehensive error analysis of early stopping. In particular, a general oracle-type inequality is proved for the prediction error at $τ$. For bounding the reconstruction error, a more refined probabilistic analysis, based on concentration of self-normalised Gaussian processes, is developed. The methodology also provides some new insights into early stopping for CG in deterministic inverse problems. A numerical study for standard examples shows good results in practice for early stopping at $τ$.

Xuemei Tang, Xufeng Duan, Zhenguang G. Cai

Large language models (LLMs) have emerged as a potential solution to automate the complex processes involved in writing literature reviews, such as literature collection, organization, and summarization. However, it is yet unclear how good LLMs are at automating comprehensive and reliable literature reviews. This study introduces a framework to automatically evaluate the performance of LLMs in three key tasks of literature writing: reference generation, literature summary, and literature review composition. We introduce multidimensional evaluation metrics that assess the hallucination rates in generated references and measure the semantic coverage and factual consistency of the literature summaries and compositions against human-written counterparts. The experimental results reveal that even the most advanced models still generate hallucinated references, despite recent progress. Moreover, we observe that the performance of different models varies across disciplines when it comes to writing literature reviews. These findings highlight the need for further research and development to improve the reliability of LLMs in automating academic literature reviews.

Adam Nieuważny, Przemysław Piwowarczyk

Artykuł zawiera wstęp i komentowany przekład rozdziału 47,9 z Nomokanonu Michała z Damietty.

Peng Zhang, Ting Gao, Jin Guo et al.

Early warning for epilepsy patients is crucial for their safety and well-being, in particular to prevent or minimize the severity of seizures. Through the patients' EEG data, we propose a meta learning framework to improve the prediction of early ictal signals. The proposed bi-level optimization framework can help automatically label noisy data at the early ictal stage, as well as optimize the training accuracy of the backbone model. To validate our approach, we conduct a series of experiments to predict seizure onset in various long-term windows, with LSTM and ResNet implemented as the baseline models. Our study demonstrates that not only the ictal prediction accuracy obtained by meta learning is significantly improved, but also the resulting model captures some intrinsic patterns of the noisy data that a single backbone model could not learn. As a result, the predicted probability generated by the meta network serves as a highly effective early warning indicator.

Paweł Wygralak

W artykule przedstawiono analizę dwóch modlitw Ildefonsa z Toledo skierowanych do Maryi zawartych w dziele De virginitate Sanctae Mariae. Na uwagę zasługuje zarówno bardzo osobista forma modlitw, jak i ich treść. Biskup Toledo wyraża w nich swoje najgłębsze uczucia do Maryi, określając Ją jako swoją Panią i Władczynię. Wychwala Ją za udział w dziele zbawienia, ale przede wszystkim prosi o wstawiennictwo, aby mógł zjednoczyć się z Chrystusem. W ten sposób wskazuje, na czym polega prawdziwa pobożność maryjna: powinna zawsze prowadzić do pogłębienia więzi z Chrystusem.

Sylwester Jaśkiewicz

Problematyka angelologiczna w wiekopomnym dziele św. Augustyna De civitate Dei zajmuje miejsce centralne. Myśliciel z Tagasty kreśli w nim chrześcijański portret aniołów bliskich ludziom, których często nazywa: aniołami świętymi (sancti angeli), naszymi aniołami (nostri angeli) albo aniołami dobrymi (angeli boni). Choć biskup Hippony nie pomija kwestii stworzenia i natury aniołów, to jednak ich funkcji i posłudze na rzecz ludzi daje zdecydowany priorytet, co potwierdza choćby użycie łacińskiego terminu angelus, który znaczy dla niego tyle, co nuntius, a więc zwiastun, posłaniec. Służba aniołów na rzecz ludzi, ich ministerium, ma coś w sobie z pracy rolnika troszczącego się o płody ziemi czy z poświęcenia matki zatroskanej o otrzymane życie. Nawet jeśli aniołowie służą i Bogu i ludziom, to jednak dla tych ostatnich nie są pośrednikami, gdyż jedynym pośrednikiem między Bogiem i ludźmi jest Człowiek-Jezus Chrystus. Duchy niebieskie nie udzielają ludziom swojej nieśmiertelności i szczęśliwości i nie przez uczestnictwo z nimi te nadprzyrodzone dary stają się także udziałem człowieka. Ludzie powinni naśladować dobrą wolę świętych aniołów i w ich prawdziwej i wolnej od słabości uczuć miłości wzrastać. Aniołowie prowadzą ludzi do pełnej chwały prawdziwego Boga i sprzeciwiają się, aby jakiekolwiek ofiary były i im składane. O obecności aniołów starochrześcijański myśliciel przypomina także w dniu ostatecznym, kiedy to ich zadaniem będzie zebranie sprawiedliwych. W ostatecznym wymiarze życia wiecznego zapowiedziana przez Chrystusa równość (aequalitas) ludzi z aniołami będzie pełnią życia w Bogu.

Dominika Łucja Budzanowska-Weglenda

Celem niniejszego artykułu jest zbadanie, jak Wiktoryn z Petowium w Commentarius in Apocalypsim komentuje fragmenty Apokalipsy św. Jana, w których występuje termin ‘anioł’ – angelus, i jak interpretuje to pojęcie. Najpierw wspomniano częste występowanie aniołów w Piśmie Świętym, zwłaszcza w ostatniej księdze Biblii. Przypomniano za Augustynem z Hippony, że określenie angelus oznacza misję, a nie naturę istot tak określanych. Podkreślono również, że dla Ojców Kościoła angelologia nie była najistotniejszym zagadnieniem poruszanym przez nich w pismach, podobnie dość rzadko naukowcy zajmują się patrystyczną nauką o aniołach. Przedstawiono krótko biskupa Wiktoryna jako pierwszego egzegetę łacińskiego i styl jego interpretacji, szczególnie znaczenie alegorezy i typologii. Omówiono wszystkie objaśnienia dotyczące terminu angelus w zachowanych fragmentach komentarza Wiktoryna do Apokalipsy: najpierw przeanalizowane zostały te, w których anioł oznaczać ma Eliasza czy samego Chrystusa, następnie dobre anioły niebiańskie, a wreszcie złe anioły – diabła, Antychrysta. Przytoczono krótko też wyniki badań innego tekstu biskupa Petawium – De fabrica mundi, w którym to traktacie o stworzeniu świata pojawiają się ciekawe koncepcje autora o aniołach, dotyczące np. dwudziestu czterech aniołów pierwotnych stworzonych pierwszego dnia.

Hanna Sai, Xiaofeng Wang, Nancy Elias-Rosa et al.

Early-time radiative signals from type Ia supernovae (SNe Ia) can provide important constraints on the explosion mechanism and the progenitor system. We present observations and analysis of SN 2019np, a nearby SN Ia discovered within 1-2 days after the explosion. Follow-up observations were conducted in optical, ultraviolet, and near-infrared bands, covering the phases from $\sim-$16.7 days to $\sim$+367.8 days relative to its $B-$band peak luminosity. The photometric and spectral evolutions of SN 2019np resembles the average behavior of normal SNe Ia. The absolute B-band peak magnitude and the post-peak decline rate are $M_{\rm max}(B)=-19.52 \pm 0.47$mag and $Δm_{\rm15}(B) =1.04 \pm 0.04$mag, respectively. No Hydrogen line has been detected in the near-infrared and nebular-phase spectra of SN 2019np. Assuming that the $^{56}$Ni powering the light curve is centrally located, we find that the bolometric light curve of SN 2019np shows a flux excess up to 5.0% in the early phase compared to the radiative diffusion model. Such an extra radiation perhaps suggests the presence of an additional energy source beyond the radioactive decay of central nickel. Comparing the observed color evolution with that predicted by different models such as interactions of SN ejecta with circumstellar matter (CSM)/companion star, a double-detonation explosion from a sub-Chandrasekhar mass white dwarf (WD), and surface $^{56}$Ni mixing, the latter one is favored.

Kirił Marinow

This article focuses on the Bulgarian Tsar Simeon I the Great (893-927), who in the second half of his reign entered into a protracted military and ideological conflict with the Byzantine Empire. He wished not only to extend his dominions at the expense of his southern neighbour, but also to equal him in titular power, and it is possible - although scholars differ on this point - that his aspirations reached even further, namely Constantinople itself. Either way, Bulgaria under his reign posed a serious threat to Byzantium and its main antagonist. The death of the Tsar in 927 and the conclusion of peace with the Empire by his son, Peter I (927-969), finally put an end to the conflict between both the states. The celebrations marking the conclusion of the agreement provided an opportunity to take stock. In a rhetorical speech written for the occasion, Simeon's actions and aspirations were severely criticised – through comparisons to figures from ancient literature and biblical texts, the Byzantine speaker discredited the attitude of this ruler. Comparisons to those of them who aroused negative connotations in listeners and readers deprived Simeon of all the virtues belonging to a Christian ruler and, above all, of the cardinal ones by which he should, above all, legitimise himself.

Yutai Hou, Yingce Xia, Lijun Wu et al.

The Interaction between Drugs and Targets (DTI) in human body plays a crucial role in biomedical science and applications. As millions of papers come out every year in the biomedical domain, automatically discovering DTI knowledge from biomedical literature, which are usually triplets about drugs, targets and their interaction, becomes an urgent demand in the industry. Existing methods of discovering biological knowledge are mainly extractive approaches that often require detailed annotations (e.g., all mentions of biological entities, relations between every two entity mentions, etc.). However, it is difficult and costly to obtain sufficient annotations due to the requirement of expert knowledge from biomedical domains. To overcome these difficulties, we explore the first end-to-end solution for this task by using generative approaches. We regard the DTI triplets as a sequence and use a Transformer-based model to directly generate them without using the detailed annotations of entities and relations. Further, we propose a semi-supervised method, which leverages the aforementioned end-to-end model to filter unlabeled literature and label them. Experimental results show that our method significantly outperforms extractive baselines on DTI discovery. We also create a dataset, KD-DTI, to advance this task and will release it to the community.

Christian Hennig

Nine popular clustering methods are applied to 42 real data sets. The aim is to give a detailed characterisation of the methods by means of several cluster validation indexes that measure various individual aspects of the resulting clusters such as small within-cluster distances, separation of clusters, closeness to a Gaussian distribution etc. as introduced in Hennig (2019). 30 of the data sets come with a "true" clustering. On these data sets the similarity of the clusterings from the nine methods to the "true" clusterings is explored. Furthermore, a mixed effects regression relates the observable individual aspects of the clusters to the similarity with the "true" clusterings, which in real clustering problems is unobservable. The study gives new insight not only into the ability of the methods to discover "true" clusterings, but also into properties of clusterings that can be expected from the methods, which is crucial for the choice of a method in a real situation without a given "true" clustering.

Erion Çano, Maurizio Morisio

Recommender systems are software tools used to generate and provide suggestions for items and other entities to the users by exploiting various strategies. Hybrid recommender systems combine two or more recommendation strategies in different ways to benefit from their complementary advantages. This systematic literature review presents the state of the art in hybrid recommender systems of the last decade. It is the first quantitative review work completely focused in hybrid recommenders. We address the most relevant problems considered and present the associated data mining and recommendation techniques used to overcome them. We also explore the hybridization classes each hybrid recommender belongs to, the application domains, the evaluation process and proposed future research directions. Based on our findings, most of the studies combine collaborative filtering with another technique often in a weighted way. Also cold-start and data sparsity are the two traditional and top problems being addressed in 23 and 22 studies each, while movies and movie datasets are still widely used by most of the authors. As most of the studies are evaluated by comparisons with similar methods using accuracy metrics, providing more credible and user oriented evaluations remains a typical challenge. Besides this, newer challenges were also identified such as responding to the variation of user context, evolving user tastes or providing cross-domain recommendations. Being a hot topic, hybrid recommenders represent a good basis with which to respond accordingly by exploring newer opportunities such as contextualizing recommendations, involving parallel hybrid algorithms, processing larger datasets, etc.

John K. Tsotsos, Iuliia Kotseruba, Calden Wloka

The current dominant visual processing paradigm in both human and machine research is the feedforward, layered hierarchy of neural-like processing elements. Within this paradigm, visual saliency is seen by many to have a specific role, namely that of early selection. Early selection is thought to enable very fast visual performance by limiting processing to only the most salient candidate portions of an image. This strategy has led to a plethora of saliency algorithms that have indeed improved processing time efficiency in machine algorithms, which in turn have strengthened the suggestion that human vision also employs a similar early selection strategy. However, at least one set of critical tests of this idea has never been performed with respect to the role of early selection in human vision. How would the best of the current saliency models perform on the stimuli used by experimentalists who first provided evidence for this visual processing paradigm? Would the algorithms really provide correct candidate sub-images to enable fast categorization on those same images? Do humans really need this early selection for their impressive performance? Here, we report on a new series of tests of these questions whose results suggest that it is quite unlikely that such an early selection process has any role in human rapid visual categorization.

José Ángel Castillo Lozano

Bibliografía utilizada en la obra.

Aleksandra Choluj

Este trabajo presenta de manera preliminar los objetos de vidrio hallados en Begastri desde el año 2007. Entre ellos distinguimos tres categorías: vasos de vidrio, adornos personales y paneles de ventanas. En algunos casos se ha discutido más brevemente, debido a la ausencia de datos necesarios, mientras que en otros por ser más abundantes en el yacimiento arqueológico, pueden describirse con más detalle. El siguiente texto es preliminar, porque en la actualidad se está analizando todo el material arqueológico de vidrio como parte de nuestra tesis doctoral. También se plantea la investigación fisicoquímica para determinar la composición química y la receta utilizada para la producción de vidrio.