Cenderawasih University (Indonesian: Universitas Cenderawasih) is a university in Jayapura, Papua province, Indonesia. The university is the leading educational institution in the province.The university has faculties in economics, law, teacher training and education, medical, engineering, and social and political science. Until 2002 the university had a faculty of agricultural sciences at Manokwari, which was then separated to form the Universitas Negeri Papua. The university is divided into two areas: mainly the "Kampus lama" (old campus) which is in the Jayapura suburb of Abepura and the "Kampus baru" (new campus) which is in the hillside of Waena valley.[citation needed]In 2021 it appointed the first woman, Marlina Flassy, to a deanship in its history. Flassy, an anthropologist, was appointed as Dean of the Faculty of Social and Political Sciences, and is also the first indigenous Papuan to hold the position.
Small iron-doped boron clusters are useful model systems for examining how structure, excited-state behavior, and chemical reactivity evolve at low nuclearity. Here, the neutral BnFe series (n = 3–6) was studied to determine whether increasing boron content yields a simple size-dependent progression or instead leads to distinct mechanistic regimes. The results reveal a clearly non-monotonic evolution, with B4Fe emerging as the most mechanistically transparent molecular-activation prototype, B3Fe defining a dissociative activation limit, and B6Fe representing the global softness/electrophilicity limit. The BnFe clusters were investigated using an integrated density functional theory workflow combining ground-state optimization, harmonic vibrational analysis, selected-state TDDFT calculations, natural transition orbital analysis, global conceptual-DFT descriptors, condensed Fukui functions, and a prototype H2-activation test. The optimized PBE0/def2-TZVP structures confirmed stable minima and showed a non-monotonic structural trend: B3Fe is compact and planar, B4Fe is non-planar but relatively rigid, B5Fe is the most distorted and vibrationally soft member, and B6Fe regains partial compactness while remaining non-planar. Optical analysis showed that B4Fe and B5Fe absorb at similar low energies, but B4Fe is much brighter and more coherent. Global descriptors identified B6Fe as the softest and most electrophilic cluster, whereas local Fukui analysis showed that B4Fe provides the clearest Fe/B reactivity differentiation. In the H2-interaction analysis, B3Fe yielded a dissociative or near-dissociative product, whereas B4Fe-B6Fe retained molecular H2 adducts, with B4Fe showing the strongest geometric activation of the H-H bond.
In his recent paper, Metcalf (2026) argues that, at least in the humanities, widespread AI-generated articles are likely to result in a kind of erosion of the knowledge base of an institution or system. Building on this framework of technical incrementalism, this paper complements it with the commodification of the image of knowledge, the integration of spectacles, and Guy Debord’s algorithms to map two poles of LLM use in scientific authorship, from minimal technical assistance to the complete delegation of the writing process to machines. The massive use of LLMs encourages the production of technical, homogenous, and innovation-poor scholarly work, an undeniable common condition today. Behind this, academic economic pressures and publication incentive systems exacerbate this, particularly in philosophy and the humanities. Therefore, solutions to this problem cannot stop at the individual level. Possible long-term solutions include structural changes to the scientific publishing ecosystem, assessments based on contributions to knowledge, and fair incentive systems.
Hydroxyapatite (HAp) is a bioceramic material highly valued for its excellent biocompatibility, bioactivity, and close resemblance to the mineral phase of natural bone. In this study, defunct coral reefs were repurposed as a natural calcium precursor for the sustainable synthesis of hydroxyapatite. The coral samples were calcined at 800 degrees C, 900 degrees C, and 1000 degrees C to produce calcium oxide (CaO), among which calcination at 900 degrees C yielded the highest CaO content (84.09 %). The obtained CaO was subsequently utilized for hydroxyapatite synthesis under sintering temperatures of 800 degrees C, 900 degrees C, and 1000 degrees C. X-ray diffraction (XRD) analysis confirmed the successful formation of phase-pure hydroxyapatite, exhibiting distinct diffraction peaks consistent with the standard HAp pattern. Fourier Transform Infrared Spectroscopy (FTIR) identified the characteristic vibrational bands of phosphate (PO43-), hydroxyl (OH-), and carbonate (CO32-) groups, while Scanning Electron Microscopy (SEM) revealed the typical porous morphology of hydroxyapatite. The sample sintered at 900 degrees C showed superior crystallinity, structural homogeneity, and well-distributed porosity. The synthesized HAp showed a Ca/P molar ratio of 2.18-2.34, crystallite size of 23-45 nm, and porosity of 29-33 %, confirming phase purity and a biomimetic microstructure. These quantitative features emphasize the temperature-dependent structural changes and support 900 degrees C as the best processing condition. These findings demonstrate that defunct coral reefs can be effectively converted into high-purity hydroxyapatite, underscoring their potential as a sustainable and ecofriendly raw material for bio-ceramic and biomedical applications such as bone grafts, coatings, and tissue engineering scaffolds.
Background: The rapid advancement of artificial intelligence (AI) has driven a significant transformation in modern public administration practices; however, comprehensive bibliometric mapping focused on the explosive period of the last decade remains highly limited. Objectives: This study aims to analyze the developmental landscape of scientific literature on AI in public administration during the 2015-2025 period, encompassing annual publication trends, geographical and institutional distributions, international collaboration networks, as well as the thematic and conceptual structures dominating academic discourse in this field. Methods: This study employs a quantitative bibliometric approach combined with a systematic literature review based on the PRISMA framework. Data were retrieved from the Scopus database using advanced search queries with the keywords "artificial intelligence" AND "public administration," covering publications from 2015 to 2025. Following a rigorous selection process based on inclusion and exclusion criteria, 729 English language journal articles were analyzed using VOSviewer software to generate visualizations of keyword co-occurrence networks, international collaborations, and thematic cluster mapping. Results: The findings indicate significant growth in publications post 2020, with the United States emerging as the dominant contributor. Co-occurrence analysis identified three primary thematic clusters: digital transformation and governance, data-driven approaches for decision-making, and the application of AI in public health, while issues regarding algorithmic ethics and public trust remain underrepresented. Conclusion: AI in public administration is a rapidly evolving field of study that requires a more inclusive, contextual, and research-oriented agenda focused on democratic values and responsible governance.
Purpose: This study examines the effect of Gross Regional Domestic Product (GRDP) and regional expenditure on local own-source revenue (PAD) in Pegunungan Bintang Regency over the 2010-2024 period, and tests whether the Open Unemployment Rate or localy Tingkat Pengangguran Terbuka (TPT) moderates these relationships. Research Methodology: Using annual secondary time-series data spanning fifteen years, obtained from regional budget realization reports and the Central Statistics Agency, the study applied multiple linear regression and moderated regression analysis, estimated in SPSS after classical assumption testing, with the type of moderation classified following Baron and Kenny's criteria. Results: GRDP and regional expenditure each had a positive and significant effect on local own-source revenue, and the open unemployment rate itself had a significant effect on revenue. The interaction terms confirmed that the unemployment rate significantly moderates both relationships, in each case as a quasi, or partial, moderator, since the direct effects of GRDP and regional expenditure remained significant even after the interaction terms were introduced. Conclusions: Economic growth and regional spending both feed into local revenue capacity in Pegunungan Bintang Regency, but the strength of that conversion depends on labor market conditions. Limitations: The single-region, time-series design and the two-variable model restrict how far the findings can be generalized. Contributions: The study extends fiscal federalism and labor market theory to a remote, mountainous Papuan regency and offers a moderation-based account of local revenue determinants rarely tested in this setting.
