bluuebunny/crossref_metadata_2025_split huggingface dataset:
Die Unit-Dose Versorgung als pflegeentlastende Maßnahme – eine
bundesweite Erhebung zur zeitlichen Entlastung der
Pflegefachkräfte
Authors: Düpmeier Sandra , Lenssen Rebekka , Sommer Beatrix , Kreimendahl Alina , Moeller Desdemona , Liekweg Andrea 
Published: September 2024

ZusammenfassungZielsetzung Der Pflegefachkräftemangel steht im Fokus des Gesundheitswesens. Eine
Arzneimittelversorgung im Unit-Dose-Verfahren wird als pflegeentlastende
Maßnahme diskutiert. Ziel der vorliegenden Arbeit ist es, die zeitliche
Pflegeentlastung durch die Unit-Dose-Versorgung empirisch zu
ermitteln.Methoden In elf Kliniken wurden an sieben Tagen die aufgewendete Zeit
für pflegerische Tätigkeiten im Arzneimittelversorgungsprozess (Bestellen,
Einsortieren, Stellen, Kontrolle und sonstige Tätigkeiten) auf
Unit-Dose-versorgten und klassisch versorgten Stationen erhoben.Ergebnisse In
Summe werden für die betrachteten Tätigkeiten auf Unit-Dose Stationen
durchschnittlich 6,7 Minuten pro Patient pro Tag weniger benötigt als auf
klassisch versorgten Stationen.Schlussfolgerung Eine Unit-Dose-Versorgung führt
zu einer zeitlichen Entlastung des Pflegepersonals.
Estudo histomorfométrico do reparo de defeito ósseo não crítico após implantação de microesferas de hidroxiapatita com substituição por magnésio
Authors: Silva Jacqueline de Azerêdo , Santos George Gonçalves dos , Ribeiro Iorrana Índira dos Anjos , Silva Ana Maria Guerreiro Braga da , Barreto Isabela Cerqueira , Matos Marcos Almeida , Barreto Maurício Andrade , Miguel Fúlvio Borges 
Published: September 2024

Resumo
Objetivo O presente estudo teve como objetivo fazer uma análise histomorfométrica do reparo de um defeito ósseo não crítico após a implantação de microesferas de hidroxiapatita (HA) com substituição por magnésio (Mg).
Métodos Trinta ratos foram distribuídos em 3 grupos experimentais, avaliados aos 15 e 45 dias após a cirurgia: GHA (defeito ósseo preenchido com microesferas de HA); GHAMg (defeito ósseo preenchido com microesferas de HA com substituição por 1 mol% de Mg) e GC (defeito ósseo sem implantação de biomateriais).
Resultados Aos 15 dias, evidenciou-se que os biomateriais preencheram toda a extensão do defeito, com neoformação de matriz osteoide de permeio às microesferas. No GC, essa neoformação ficou restrita às bordas, com deposição de tecido conjuntivo frouxo de espessura reduzida. Aos 45 dias, a neoformação óssea preencheu quase toda a extensão do defeito ósseo nos 3 grupos, com deposição osteoide estatisticamente significativa no GC, apesar da espessura reduzida em comparação ao GHA e o GHAMg. Os grupos com implantação de biomaterial apresentaram matriz osteoide mais abundante do que aos 15 dias.
Conclusão Os biomateriais estudados apresentaram biocompatibilidade, osteocondutividade e bioatividade. A concentração de Mg na HA com substituição não estimulou a formação óssea mais significativa do que a HA sem este íon.
Comparative Evaluation of Large Language Models for Translating Radiology Reports into Hindi
Authors: Gupta Amit , Rastogi Ashish , Malhotra Hema , Rangarajan Krithika 
Published: September 2024

Abstract
Objective The aim of this study was to compare the performance of four publicly available large language models (LLMs)—GPT-4o, GPT-4, Gemini, and Claude Opus—in translating radiology reports into simple Hindi.
Materials and Methods In this retrospective study, 100 computed tomography (CT) scan report impressions were gathered from a tertiary care cancer center. Reference translations of these impressions into simple Hindi were done by a bilingual radiology staff in consultation with a radiologist. Two distinct prompts were used to assess the LLMs' ability to translate these report impressions into simple Hindi. Translated reports were assessed by a radiologist for instances of misinterpretation, omission, and addition of fictitious information. Translation quality was assessed using Bilingual Evaluation Understudy (BLEU), Metric for Evaluation of Translation with Explicit ORdering (METEOR), Translation Edit Rate (TER), and character F-score (CHRF) scores. Statistical analyses were performed to compare the LLM performance across prompts.
Results Nine instances of misinterpretation and two instances of omission of information were found on radiologist evaluation of the total 800 LLM-generated translated report impressions. For prompt 1, Gemini outperformed others in BLEU (p < 0.001) and METEOR scores (p = 0.001), and was superior to GPT-4o and GPT-4 in TER and CHRF (p < 0.001), but comparable to Claude (p = 0.501 for TER and p = 0.90 for CHRF). For prompt 2, GPT-4o outperformed all others (p < 0.001) in all metrics. Prompt 2 yielded better BLEU, METEOR, and CHRF scores (p < 0.001), while prompt 1 had a better TER score (p < 0.001).
Conclusion While each LLM's effectiveness varied with prompt wording, all models demonstrated potential in translating and simplifying radiology report impressions.
Doing good for political gain: the instrumental use of the SDGs as nonmarket strategies
Authors: Röell Christiaan , Arndt Felix , Benischke Mirko H. , Piekkari Rebecca 
Published: September 2024

AbstractThe United Nations Sustainable Development Goals (SDGs) are changing the way multinational enterprises (MNEs) engage with host governments. The SDGs offer MNEs a unique opportunity to build political influence by assisting governments in attaining a host country’s social needs. However, international business scholars have largely remained silent on how MNEs strategize to repurpose ‘doing good’ into political influence. Based on a multiple case study of four Western European MNE subsidiaries in Indonesia, we uncover the strategies that MNEs use to turn their SDG initiatives into political access and influence. Our study reveals three nonmarket strategies – SDG-directed cross-sector partnership, SDG-directed conflict management, and SDG-directed constituency building. These actionable strategies help MNEs manage the tensions arising from misaligned government priorities, high levels of perceived corruption, and skepticism toward foreign firms. Our findings advance the literature on international nonmarket strategy by explaining how MNE subsidiaries resolve these tensions and convert SDG-directed investments into political access and influence without succumbing to locally institutionalized norms of corruption. Finally, our study suggests that emerging-market governments may benefit from rewarding MNEs for their investments that contribute to the SDGs, as long as they provide clear guidance and multi-stakeholder platforms that foster effective collaborations with MNEs.
The presence of nanoparticles in aqueous droplets containing plant-derived biopolymers plays a role in heterogeneous ice nucleation
Authors: Bieber Paul , Darwish Ghinwa H. , Algar W. Russ , Borduas-Dedekind Nadine 
Published: September 2024

Organic matter can initiate heterogeneous ice nucleation in supercooled water droplets, thereby influencing atmospheric cloud glaciation. Predicting the ice nucleation ability of organic matter-containing cloud droplets is challenging due to the unknown mechanism for templating ice. Here, we observed the presence of nanoparticles in aqueous samples of known ice-nucleating biopolymers cellulose and lignin, as well as in newly identified ice-nucleating biopolymers xylan and laminarin. Using our drop Freezing Ice Nuclei Counter (FINC), we measured the median ice nucleation temperature (T50) of xylan and of laminarin droplets of 2 μl to be −14.2 and −20.0 °C, respectively. Next, we characterized these samples using nanoparticle tracking analysis, and we detected and quantified nanoparticles with mean diameters between 132 and 267 nm. Xylan contained the largest nanoparticles and froze at higher temperatures. Xylan also dictated the freezing in a 1:1:1:1 mixture with cellulose, lignin, laminarin, and xylan. Filtration experiments down to 300 kDa with the xylan sample indicated that the presence of nanoparticles triggered freezing. Overall, only samples with mean diameters above 150 nm froze above −20 °C. Furthermore, we determined the ice-active site densities normalized to particle concentrations, surface area, and mass of the nanoparticles to show that the samples’ nucleation site densities are similar to sea spray aerosols and nanometer-sized dust. The identification and characterization of xylan and laminarin as nanometer-sized ice-nucleating substances expands the growing list of organic matter capable of impacting cloud formation and thus climate.
Intracluster reaction dynamics of NO+(H2O)n
Authors: Tachikawa Hiroto 
Published: September 2024

Nitric oxide (NO) and NO–water clusters play crucial roles in the D-region of the atmosphere because it is postulated that NO+ reacts with H2O to produce nitrous acid (HONO) and H3O+. HONO is the major precursor of the hydroxyl radicals leading to the formation of secondary pollutants. The sources of atmospheric HONO, however, are not fully understood. Previously, the sequential H2O addition reaction, H2O + NO+(H2O)n, and the bi-molecular collision reaction, NO+ + (H2O)n, have been investigated by both experiments and theoretical calculations to determine the formation mechanism of HONO. However, the photo-reactions from NO(H2O)n neutral clusters were not considered for the formation mechanism of HONO. In this study, the intra-cluster reactions of NO+(H2O)n clusters, following ionization of the parent neutral cluster of NO(H2O)n, were investigated using the direct ab initio molecular dynamics method. When n = 4, [NO+(H2O)4]ver [vertical ionization state of NO(H2O)n] yielded HONO and hydrated H3O+ after the intra-cluster reaction, and the reaction time was calculated to be 150 fs. The reaction is expressed as [NO+(H2O)n]ver → HONO + H3O+(H2O)n−2 (reactive) (n &gt; 3). Larger clusters of [NO+(H2O)n]ver (n = 5–8) also yield HONO. In contrast, in smaller clusters (n = 1–3), only solvent re-orientation around NO+ occurred after the ionization: [NO+(H2O)n]ver → NO+(H2O)n (solvent re-orientation) (n = 1–3). The hydration energy of H3O+, which depends on the cluster size (n), plays an important role in promoting the formation of HONO. The reaction mechanism is discussed based on theoretical results.
Assessing changes in high-intensity fire events in south-eastern Australia using Fourier Transform Infra-red (FITR) spectroscopy
Authors: Ryan Rebecca , Thomas Zoë , Simkovic Ivan , Dlapa Pavel , Worthy Martin , Wasson Robert , Bradstock Ross , Mooney Scott , Haynes Katharine , Dosseto Anthony 
Published: September 2024

Background As fire regimes continue to evolve in response to climate change, understanding how fire characteristics have responded to changes in the recent past is vital to inform predictions of future fire events. Aims and methods Using Fourier Transform Infrared (FTIR) spectroscopy, we assessed how fire intensity has changed in two fire-prone landscapes in south-eastern Australia: (1) the Blue Mountains; and (2) Namadgi National Park during the past 3000 years. Key results Higher aromatic/aliphatic ratios suggest increased high-intensity fire frequency in sediments at the surface of both cores. Increases in the frequency of extreme drought periods, coupled with the change in vegetation and anthropogenic ignitions following colonisation, could have increased the frequency of high-intensity fires in the past ~200 years. Conclusions FTIR spectroscopy can be used in sediment deposits to infer that the frequency of high-intensity fire events has increased in the past 200 years compared to the previous ~3000 years. Implications These results are important for understanding how past fire regimes have responded to climate, people and vegetation shifts in the past ~3000 years and can be used to inform models for future predictions and management strategies.
Finite Size Effect on Gluon Dissociation of J/ψ in Relativistic Heavy Ion Collisions
Authors: Wang 王 Jingjing 静静 , Chen 陈 Baoyi 保义 , Liu 刘 Yunpeng 云朋 
Published: September 2024

Abstract
Thermal quantities, including the the entropy density and gluon spectrum, of quark matter within a box that is finite in the longitudinal direction are calculated using a bag model. Under the assumption of entropy conservation, the corresponding gluon dissociation rate of J/ψ is studied. It reaches a maximum at a certain longitudinal size L
m, below which the suppression is weak even if the temperature becomes higher than that without the finite size effect, and above which the dissociation rate approaches to the thermodynamic limit gradually with increasing longitudinal size of the fireball.
Self-Assembly of Bacteria in Alternating-Current Electric Fields
Authors: Li 李 Yan-Ran 艳冉 , Zong 宗 Yi-Wu 奕吾 , Zhang 张 Hong 红 , Zhang 张 Jing-Chao 静超 , Feng 冯 Chun-Ying 春迎 , Qiao 乔 Jian-Jun 建军 , Song 宋 Hao 浩 , Zhao 赵 Kun 坤 
Published: September 2024

Abstract
Self-assembly of bacteria in electric fields is a promising route to fabricate biomaterials with reversible and specific structures. However, due to relatively less studies, our understanding of the self-assembly of bacteria in electric fields is still incomplete. Particularly, how different bacterial species behave differently in their field-mediated self-assembly behavior remains to be disclosed. In this study, we choose four bacterial species, including Shewanella oneidensis, Pseudomonas aeruginosa, Bacillus subtilis and Lactococcus lactis as model systems, and investigate their self-assembly behavior in alternating-current (AC) electric fields for both diluted and concentrated suspensions. The phase diagrams in the plane of applied field strength vs frequency are obtained. The results show that in diluted suspensions, a transition sequence of isotropic–paranematic–string–columnar phases is observed in all strains as the field strength increases. Details of the assembled structures are quantitatively differentiated among different strains. In concentrated suspensions, besides the isotropic and paranematic phases, a higher ordered phase with interdigitating rectangular crystal domains (OIR) and an ordered phase with smectic A liquid crystal domains are observed for S. oneidensis and P. aeruginosa, respectively. Our findings shed new light on fabricating potential biomaterials by assembling cells of appropriately chosen bacterial species that have desired surface properties under AC electric fields.
Fermi Surface Nesting with Heavy Quasiparticles in the Locally Noncentrosymmetric Superconductor CeRh2As2
Authors: Wu Yi , Zhang Yongjun , Ju Sailong , Hu Yong , Huang Yanen , Zhang Yanan , Zhang Huali , Zheng Hao , Yang Guowei , Eljaouhari Evrard-Ouicem , Song Baopeng , C. Plumb Nicholas , Steglich Frank , Shi Ming , Zwicknagl Gertrud , Cao Chao , Yuan Huiqiu , Liu Yang 
Published: September 2024

Abstract
The locally noncentrosymmetric heavy fermion superconductor CeRh2As2 has attracted considerable interests due to its rich superconducting phases, accompanied by possible quadrupole density wave and pronounced antiferromagnetic excitations. To understand the underlying physics, here we report measurements from high-resolution angle-resolved photoemission. Our results reveal fine splittings of the conduction bands related to the locally noncentrosymmetric structure, as well as a quasi-two-dimensional Fermi surface (FS) with strong 4f contributions. The FS shows signs of nesting with an in-plane vector
q

1 = (π/a, π/a), which is facilitated by the heavy bands near

X
¯

arising from the characteristic conduction-f hybridization. The FS nesting provides a natural explanation for the observed antiferromagnetic spin fluctuations at (π/a, π/a), which might be the driving force for its unconventional superconductivity. Our experimental results can be reasonably explained by density functional theory plus dynamical mean field theory calculations, which can capture the strong correlation effects. Our study not only provides spectroscopic signature of the key factors underlying the field-induced superconducting transition, but also uncovers the critical role of FS nesting and lattice Kondo effect in the underlying magnetic fluctuations.
Growth of Ba2CoWO6 single crystals and their magnetic, thermodynamic and electronic properties
Authors: Hanna A R N , Islam A T M N , Ritter C , Luther S , Feyerherm R , Lake B 
Published: September 2024

Abstract
This study explores the bulk crystal growth, structural characterization, and physical property measurements of the cubic double perovskite Ba2CoWO6 (BCWO). In BCWO, Co2+ ions form a face-centred cubic lattice with non-distorted cobalt octahedra. The compound exhibits long-range antiferromagnetic order below T
N = 14 K. Magnetization data indicated a slight anisotropy along with a spin-flop transition at 10 kOe, a saturation field of 310 kOe and an ordered moment of 2.17 µB at T = 1.6 K. Heat capacity measurements indicate an effective j = 1/2 ground state configuration, resulting from the combined effects of the crystal electric field and spin-orbit interaction. Surface photovoltage analysis reveals two optical gaps in the UV–Visible region, suggesting potential applications in photocatalysis and photovoltaics. The magnetic and optical properties highlight the significant role of orbital contributions within BCWO, indicating various other potential applications.
Planar XY magnetic glass state in the Gd2ScNbO7 pyrochlore
Authors: Mauws C , Beare J , Rutherford M R , Su Y , Sharma S , Nugent M , Lee M K , Chang L J , Dunsiger S R , Gardner J S , Luke G M , Wiebe C R 
Published: September 2024

Abstract
Here a spin glass system with emergent planar ordered spin clusters is investigated. The mixed B-site pyrochlore Gd2ScNbO7 has been synthesized and characterized through a variety of techniques, including x-ray diffraction, magnetic susceptibility, muon spin relaxation, heat capacity and neutron scattering. Despite a Curie–Weiss temperature of −3.93(3) K, indicating net antiferromagnetic interactions, no signs of long ranged magnetic ordering are found down to T = 0.3 K. Instead, a disordered magnetic state emerges with a small correlation length of 2.1(1) Å of single tetrahedra. A Reverse Monte Carlo analysis of the polarized neutron scattering data reveals short-range antiferromagnetic order with emergent XY spin ordering similar to the parent pyrochlore compounds. Muon spin relaxation, and AC susceptibility measurements confirm that the magnetization condenses into a glass, with 10 % of the potential entropy missing in the specific heat. This magnetic ground state is similar to what is observed in Gd2Sn2O7 just above the ordering temperature, without the eventual long-range ordering at low temperature.
Entanglement harvesting in buckled honeycomb lattices by vacuum fluctuations in a microcavity
Authors: Arreyes Facundo , Escudero Federico , Sebastián Ardenghi Juan , Juan Alfredo 
Published: September 2024

Abstract
We study the entanglement harvesting between two identical buckled honeycomb lattices placed inside a planar microcavity. By applying time dependent perturbation theory, we obtain quantum correlations between both layers induced by the cavity field. Considering the vacuum state as the initial state of the cavity field and tracing out the time-evolved degrees of freedom, we analyze the entanglement formation using the concurrence measure. We show that the concurrence depends on the virtual photon exchanged and the positions of the layer through the interlayer photon propagator. Furthermore, we find that the formation of entanglement between equal energy electrons tends to be enhanced when they move in perpendicular directions. Our results indicate that a buckled honeycomb structure and a large spin-orbit interaction favor the entanglement harvesting.
Roadmap on industrial imaging techniques
Authors: Lee Jung-Ryul , Yoo Hongki , Ciang Chia Chen , Kim Young-Jin , Kim Daehee , Teo Teow Wee , Mahdavipour Zeinab , Abdullah Azizi , Khoo Bee Ee , Abdullah Mohd Zaid , Iakovidis Dimitris K , Vartholomeos Panagiotis , Yacoot Andrew , Cai Tao , Kim Mirae , Kim Kyung Chun , Ye Jiamin , Liang Xiao , Cao Lidan , Wang Xingwei , Huang Jianqing , Cai Weiwei , Wu Yingchun , da Silva Marco J , Tan Chao , Bhattacharya Sayantan , Vlachos Pavlos , Cierpka Christian , Rossi Massimiliano 
Published: September 2024

Abstract
Imaging plays a vital role in enabling the visualization and analysis of objects and phenomena across various scientific disciplines and industrial sectors, spanning a wide range of length and time scales. This roadmap presents a critical overview of 13 industrial imaging techniques, which are organized into three thematic categories according to their applicability to either solid, fluid, or both solid and fluid targets. The objectives of this roadmap are to highlight challenges and provide perspectives for next-generation imaging systems, which can serve as a guide to researchers and funding agencies in identifying new prospects. It has been found that the common challenges of imaging techniques have remained fundamentally unchanged over the years, including improving coverage, speed, resolution, accuracy, and robustness; however, there is an increasing reliance on data-driven or artificial intelligence (AI) approaches. Addressing these challenges necessitates easy access to high-performance computing resources. Notably, the trustworthiness and traceability of AI approaches should be enhanced through the sharing of benchmarking data, balancing with physics-based techniques, and the adoption of more explainable AI.
Distributed wireless IoT based sensing and quality monitoring system in protection of wetlands groundwater areas
Authors: Radić Jelena , Brkić Miodrag , Keser Tomislav , Obrovski Boris , Mihajlović Ivana , Toskić Marko Vasiljević 
Published: September 2024

Abstract
This paper presents the development and implementation of a sensor network based on the Internet of Things (IoT) for monitoring key groundwater quality parameters to minimize potential risks in biodiversity conservation. These water monitoring parameters include the water level, water temperature, pH, conductivity, and dissolved oxygen (DO). The system ensures scalability, ease of use, real-time data acquisition and minimal power consumption resulting in efficient and reliable water quality monitoring with the convenience of remote sensing. The continuous measurement system was set up to be a single source of information for monitoring groundwater quality in protected wetland areas across international borders, including Tompojevacki Ritovi (Municipality of Tompojevci, Croatia) and Lake Zobnatica (Municipality of Backa Topola, Serbia). The data collected over one year and three months by the wireless sensor network (WSN) monitoring were compared to standard laboratory method results to demonstrate the accuracy and precision of the WSN measurements. The relative mean (average) error for the WSN measurements compared with the laboratory analyses results have the following values: 8.8% for pH, 10.3% for DO, 33.7% for conductivity on sites in Tompojevci; 4.6% for pH, 12.8% for DO, 29.5% for conductivity on sites in Lake Zobnatica. Appropriate calibration and installation of the WSN give a larger volume of data and thus grow the database, allowing for a more accurate identification of water contamination and a quick response in the event of pollution. Smart IoT-based sensors help to protect water quality and, as a result, the well-being of ecosystems and human communities, which is especially important in protected areas like wetlands.