Search Results (181)

The work Xingli zhenquan tigang (Sing lii jen ciyan bithei hešen) was written in Chinese and Manchu by the French Jesuit Alexandre de la Charme (1695–1767) and published in Beijing in 1753. The first two sections of this paper provide an introduction to de la Charme’s work biography and to further textual and historical contexts, explore the peculiarities of the subsequent early German reception of the work almost 90 years later, and introduce the content from an overview perspective. The third section explores the most essential contents of Book 1 (of 3) of the Manchu version. The investigation is based on Hans Conon von der Gabelentz’s (1807–1874) German translation from 1840. Camouflaged as a Confucian educational dialogue, and by blurring his true identity in his publication, de la Charme criticizes Neo-Confucian positions from an implicitly Cartesian and hidden Christian perspective, tacitly blending Cartesian views with traditional Chinese concepts. In addition, he alludes to Manchu shamanic views in the same regard. De la Charme’s assimilating rhetoric “triangulation” of three different cultural and linguistic horizons of thought and spirituality proves that later Jesuit scholarship reached out into the inherent ethnic and spiritual diversity of the Qing intellectual and political elites. Hidden allusions to Descartes’s dualistic concepts of res cogitans and res extensa implicitly anticipate the beginnings of China’s intellectual modernization period one and a half centuries later. This work also provides an example of how the exchange of intellectual and religious elements persisted despite the Rites Controversy and demonstrates how the fading Jesuit mission influenced early German sinology. I believe that this previously underexplored work is significant in both systematic and historical respects. It is particularly relevant in the context of current comparative research fields, as well as transcultural and interreligious intellectual dialogue in East Asia and around the world. Full article

The Flexible Combined Imager (FCI), developed as the next-generation imager for the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Meteosat Third Generation (MTG) satellite series, represents a significant advancement over its predecessor, SEVIRI, on the Meteosat Second Generation (MSG) satellites. FCI offers more spectral bands, higher spatial resolution, and faster imaging capabilities, supporting a wide range of applications in weather forecasting, climate monitoring, and environmental analysis. On 13 January 2024, the FCI onboard MTG-I1 (renamed Meteosat-12 in December 2024) experienced a critical anomaly involving the failure of its onboard Calibration and Obturation Mechanism (COM). As a result, the use of the COM was discontinued to preserve operational safety, leaving the instrument dependent on alternative calibration methods. This loss of onboard calibration presents immediate challenges, particularly for the infrared channels, including image artifacts (e.g., striping), reduced radiometric accuracy, and diminished stability. To address these issues, EUMETSAT implemented an external calibration approach leveraging algorithms from the Global Space-based Inter-Calibration System (GSICS). The inter-calibration algorithm transfers stable and accurate calibration from the Infrared Atmospheric Sounding Interferometer (IASI) hyperspectral instrument aboard Metop-B and Metop-C satellites to FCI’s infrared channels daily, ensuring continued data quality. Comparisons with Cross-track Infrared Sounder (CrIS) data from NOAA-20 and NOAA-21 satellites using a similar algorithm is then used to validate the radiometric performance of the calibration. This confirms that the external calibration method effectively compensates for the absence of onboard blackbody calibration for the infrared channels. For the visible and near-infrared channels, slower degradation rates and pre-anomaly calibration ensure continued accuracy, with vicarious calibration expected to become the primary source. This adaptive calibration strategy introduces a novel paradigm for in-flight calibration of geostationary instruments and offers valuable insights for satellite missions lacking onboard calibration devices. This paper details the COM anomaly, the external calibration process, and the broader implications for future geostationary satellite missions. Full article

There is an ongoing debate about whether Christian theology has had positive or negative effects on the natural environment. Included in this debate is the role of Christian missions acting in colonial environments. This article investigates the relationship between Protestant agricultural missions and their environments, using the documents of the first World Missionary Conference (Edinburgh 1910) and the third World Missionary Conference (Tambaram 1938), as well as several related documents. Although the history of agricultural missions can be backtracked into the 19th century, they were not regarded as an independent branch of missions until the early twentieth century. In 1910, neither the home boards of Protestant missions nor the older generation of missionaries had any vision for agricultural missions, and traditional culture—including agriculture—was seen as superstitious and full of heathen beliefs. However, agricultural missions developed rapidly in the decades between Edinburgh and Tambaram and broadened into rural missions due to a change in vision. The deplorable rural areas of the younger Christian churches called for ‘rural reconstruction’, and rural missions were welcomed as the most important agents to undertake this challenge. The environment of the church and countryside was enlarged and, by 1938, included economic and social environments, known as the fourth dimension of the church and missions after preaching, education, and medical care. Full article

This article, including the Introduction and Conclusion, consists of five parts. The first part discusses the role of the catechist in the early Church and its significance in the process of faith education, particularly during the preparation for receiving the sacraments of Christian initiation. The second part emphasizes the bearers of the catechetical ministry, i.e., bishops, priests, and consecrated persons, but also the Christ’s lay faithful, to whom special attention is given in the third part. This part describes the place and role of the lay faithful in the Church’s evangelizing mission, especially in light of the challenges posed by socio-cultural and religious changes. The fourth part, based on the Apostolic Letter in the form of a motu proprio, Antiquum Ministerium, in which Pope Francis establishes the lay ministry of catechists, and the current state in the Church and socio-cultural context, highlights the reasons that contributed to the establishment of this ministry and the challenges it brings with its establishment. In the fifth part, based on the analysis of ecclesiastical activity in Germany, Italy, and Croatia, the current situation regarding the (non)introduction of a lay catechetical service in the mentioned countries is highlighted. Full article

Precise measurements of the Earth’s surface are possible using satellite laser altimetry data, as demonstrated by NASA’s ICEsat-2 mission. Recently, the vertical accuracy of ICESat-2 data has been validated to <3 cm (bias) and <15 cm RMSE, making these data a prime candidate for a global reference system. This research will demonstrate a methodology and results for the creation of a network of global, geodetic reference points based on ICESat-2 altimetry crossover heights. In this study, we explore the feasibility of utilizing ICESat-2 terrain heights at crossover locations and we look to evaluate the results from the different beam combinations (i.e., strong–strong, weak–weak, and weak–strong) as well as the impact of acquisition time, land cover, and presence of snow on the results. Comparisons of high-quality ICESat-2 crossovers against airborne lidar data serving as reference were found to have a mean error of less than 15 cm for each AOR examined and RMSE of less than 35 cm for two of the three sites; a RMSE value of 85 cm was obtained for the third site. Preliminary results indicate ICESat-2 crossovers are possible even in forested regions and these data can be used to vertically constrain terrain heights of other data products such as DEMs. Full article

Low-Earth-orbit (LEO) satellites have unique advantages in communication, navigation, and remote sensing due to their low orbit, strong landing signal strength, and low launch cost. However, the optimization of the design of LEO constellations to obtain the optimal configuration to meet different missions faces great challenges. Traditional multi-objective optimization algorithms often struggle with designing constellations involving composite functions due to various constraints, which can result in premature termination and local optimality issues. This paper introduces a dynamic parameter-based non-dominated sorting differential evolution (D-NSDE) algorithm to obtian better solutions, which is capable of dynamically adjusting the boundary of feasible solutions and modifying operators according to the iteration process to mitigate these constraints. Additionally, we model a composite LEO constellation with multiple layers, constructing 2-/3-/4-layer configurations, and we include constraints from the third-generation BeiDou Navigation Satellite System (BDS-3) navigation constellations. Subsequently, we employ the D-NSDE algorithm to solve the corresponding multi-objective optimization problems and derive the optimal solution set. The results demonstrate that D-NSDE can generate complete and multi-level solution sets under diverse constraint conditions, with 75% of D-NSDE algorithm optimization solutions being able to achieve seamless positioning for 95% of global coverage. Furthermore, the PDOP median values are 5.12/4.23/2.97 without BDS-3 navigation constraints and 1.38/1.44/1.51 with BDS-3 navigation constraints. Additionally, simulation experiments conducted on standard function test sets confirm that the solution sets produced by the D-NSDE algorithm exhibit favorable distribution and convergence performance better than the Non-dominated Sorting Genetic Algorithm (NSGA)-III. Full article

NASA’s Juno mission, involving a pioneering spacecraft the size of a basketball court, has been instrumental in observing Jupiter’s atmosphere and surface from orbit since it reached the intended orbit. Over its first decade of operation, Juno has provided unprecedented insights into the solar system’s origins through advanced remote sensing and technological innovations. This study focuses on change detection in terms of Juno’s trajectory, leveraging cutting-edge data computing techniques to analyze its orbital dynamics. Utilizing 3D position and velocity time series data from NASA, spanning 11 years and 5 months (August 2011 to January 2023), with 5.5 million samples at 1 min accuracy, we examine the spacecraft’s trajectory modifications. The instantaneous average acceleration, jerk, and snap are computed as approximations of the first, second, and third derivatives of velocity, respectively. The Hilbert transform is employed to visualize the spectral properties of Juno’s non-stationary 3D movement, enabling the detection of extreme events caused by varying forces. Two unsupervised machine learning algorithms, DBSCAN and OPTICS, are applied to cluster the sampling events in two 3D state spaces: (velocity, acceleration, jerk) and (acceleration, jerk, snap). Our results demonstrate that the OPTICS algorithm outperformed DBSCAN in terms of the outlier detection accuracy across all three operational phases (OP1, OP2, and OP3), achieving accuracies of 99.3%, 99.1%, and 98.9%, respectively. In contrast, DBSCAN yielded accuracies of 98.8%, 98.2%, and 97.4%. These findings highlight OPTICS as a more effective method for identifying outliers in elliptical orbit data, albeit with higher computational resource requirements and longer processing times. This study underscores the significance of advanced machine learning techniques in enhancing our understanding of complex orbital dynamics and their implications for planetary exploration. Full article

This field statement reviews the sources, issues, approaches, and missions of Dunhuang architectural studies from 1926 to the present. The studies of Dunhuang architecture constitute a subfield at the intersection of Dunhuang studies, Silk Road archaeology, and studies of Chinese architectural history. Dunhuang architectural studies primarily investigate three corpses of materials, i.e., the images of architecture represented in mural paintings, the cave typology, and the timber-framed façade screening the caves. This study outlines the three phases in which scholarly concerns evolved from images to their material carriers, from forms to spaces, and from disciplinary to interdisciplinary. The first phase, 1926–1950, features Chinese, Japanese, and German scholars’ early explorations of the images of architecture, mostly based on photographic reproductions of murals and timber façades. They established connections between the Dunhuang materials and the modern studies of art and architectural histories. In the second phase, 1950–2000, scholars, mainly Chinese, explored the majority of the primary materials and managed to establish a research framework for research that is still valid today. Some others conducted refreshing studies from the perspective of spatial conception. The third phase, from 2001 to the present, witnesses the emergence of new materials, perspectives, and technologies, which stimulate interdisciplinary and innovative studies of the Dunhuang materials. Finally, this review reflects on the received conceptions the field has brought us to consider the architecture of a Dunhuang cave temple and points out issues of space for future investigations. Full article

Organizations in the Third Sector operating in still non-Western contexts need to have enhanced governance models that match the need to ensure ethical and efficient commercial operations within their mission. The key research question of the present article is how the implementation of good corporate governance (GCG) in Slovenian NGOs will contribute to strengthening their legitimacy, stakeholder trust, and effectiveness in achieving social goals. This article develops a conceptual model that should include all key variables, mediators, moderators, and latent constructs in itself, serving as a theoretical basis for future empirical studies and best practices. The main finding is that GCG should be organized as a single-track administrative body of public institutes in the future. Better single-track GCG regulations, which would presuppose the amendment of legislation, can be created and executed in practice only by working together with the public, regulatory agencies, academic community, NGOs, and prominent intellectuals. Full article

Prior research has demonstrated the value of an entrepreneurial mindset in business. The so-called third mission is also becoming an increasingly important aspect of university operations. This involves leveraging knowledge generated at the university level to create close links with society and the economy. The role of intrapreneurs has been examined in the corporate, for-profit sector. However, these agents of change also play a significant role in the advancement of entrepreneurial universities. The present research investigates the role of intrapreneurs in entrepreneurial universities through a bibliographic analysis using RStudio biblioshiny on the Scopus and Web of Science databases. It is evident that the literature on this subject has gained interest in recent years, yet the number of documents remains limited, with a small number of authors publishing them. The development of keywords is also notable, including the emergence of sustainability, which is linked to intrapreneurs and the entrepreneurial universities. Although this study has its limitations, it can show how and where authors should publish, what the basic and the emerging topics are, what the most important keywords are and how these are connected and how countries cooperate in searching for solutions in this globally recognized research area. Full article

In recent decades, there has been a growing awareness of the importance and desirability of fostering the involvement of more actors, and in particular local communities, in the protection of cultural heritage. Since universities have long been asked to become promoters of actions aimed at increasing society’s general level of well-being through interventions with cultural, social, and educational implications via technology transfer and knowledge sharing, a mutual collaboration between different researchers of the Politecnico di Torino, public administrations, and local communities has been consolidated over the last few years to provide a proactive contribution to both the preservation of cultural heritage and the social and economic development of the territories. A new educational methodology with direct and mutual collaboration between teachers and students, local communities, and policymakers was tested. The experiences conducted so far testify to the university’s ability to fulfil its training, research, and “Third Mission” tasks, both by responding to the needs of the territory and by transmitting up-to-date work methodologies, disciplinary skills, attention to context, and dialogue with local communities. The work carried out, appreciated by citizens and municipal administration representatives, was able to provide hints and stimuli for new opportunities and actions to be undertaken, foreshadowing possible development trajectories of the contexts investigated. Full article

In this paper, we present an analysis of the effectiveness of various machine learning algorithms in classifying astronomical objects using data from the third release (DR3) of the Gaia space mission. The dataset used includes spectral information from the satellite’s red and blue spectrophotometers. The primary goal is to achieve reliable classification with high confidence for symbiotic stars, planetary nebulae, and red giants. Symbiotic stars are binary systems formed by a high-temperature star (a white dwarf in most cases) and an evolved star (Mira type or red giant star); their spectra varies between the typical for these objects (depending on the orbital phase of the object) and present emission lines similar to those observed in PN spectra, which is the reason for this first selection. Several classification algorithms are evaluated, including Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Networks (ANN), Gradient Boosting (GB), and Naive Bayes classifier. The evaluation is based on different metrics such as Precision, Recall, F1-Score, and the Kappa index. The study confirms the effectiveness of classifying the mentioned stars using only their spectral information. The models trained with Artificial Neural Networks and Random Forest demonstrated superior performance, surpassing an accuracy rate of 94.67%. Full article

The Mars Sample Return campaign is an endeavor of unprecedented technological complexity and coordination that attempts to answer fundamental questions about the habitability of Mars by returning the first samples of Martian material to Earth for analysis. The third mission in the campaign consists of the NASA-provided Capture, Containment, and Return System (CCRS) onboard the European Space Agency’s Earth Return Orbiter, which will retrieve the Orbiting Sample (OS) container from its orbit around Mars. Retrieving a passive sample container from a planetary orbit has never been attempted by any spacecraft and requires the development of new technology to succeed in this ambitious task. This paper introduces the high-reliability Capture Sensor Suite (CSS), a novel optical detection system that provides CCRS with the capability to autonomously detect the OS as it is captured. This article will discuss the challenges and requirements for the fault-tolerant design of the CSS. Full article

The field of bioinspired underwater robots aims to replicate the capabilities of marine animals in artificial systems. Stingrays have emerged as highly promising species to be mimicked because of their flat body morphology and size. Furthermore, they are considered high-performance species due to their maneuverability, propulsion mode, and sliding efficiency. Designing and developing mechanisms to imitate their pectoral fins is a challenge for underwater robotic researchers mainly because the locomotion characteristics depend on the coordinated movement of the fins. In the state of the art, several mechanisms were proposed with 2 active rotation degrees of freedom (DoFs) to replicate fin movement. In this paper, we propose adding an additional active DoF in order to improve the realism in the robotic manta ray movement. Therefore, in this article, we present the mechanical design, modeling, and kinematics analysis of a 3-active-and-rotational-DoF pectoral fin inspired by the Mobula Alfredi or reef manta ray. Additionally, by using the kinematics model, we were able to simulate and compare the behaviour of both mechanisms, that is, those with 2 and 3 DoFs. Our simulation results reveal an improvement in the locomotion, and we hypothesized that with the third DoF, some specific missions, such as hovering or fast emergence to the surface, will have a better performance. Full article

Accurate skin diagnosis through end-user applications is important for early detection and cure of severe skin diseases. However, the low quality of dermoscopic images hampers this mission, especially with the presence of hair on these kinds of images. This paper introduces DM–AHR, a novel, self-supervised conditional diffusion model designed specifically for the automatic generation of hairless dermoscopic images to improve the quality of skin diagnosis applications. The current research contributes in three significant ways to the field of dermatologic imaging. First, we develop a customized diffusion model that adeptly differentiates between hair and skin features. Second, we pioneer a novel self-supervised learning strategy that is specifically tailored to optimize performance for hairless imaging. Third, we introduce a new dataset, named DERMAHAIR (DERMatologic Automatic HAIR Removal Dataset), that is designed to advance and benchmark research in this specialized domain. These contributions significantly enhance the clarity of dermoscopic images, improving the accuracy of skin diagnosis procedures. We elaborate on the architecture of DM–AHR and demonstrate its effective performance in removing hair while preserving critical details of skin lesions. Our results show an enhancement in the accuracy of skin lesion analysis when compared to existing techniques. Given its robust performance, DM–AHR holds considerable promise for broader application in medical image enhancement. Full article