bluuebunny/crossref_metadata_2025_split huggingface dataset:
A reconfigurable transmitarray unit cell employing liquid metal
Authors: Qu Zhishu , Zhou Yihua , Kelly James R. , Wang Zhengpeng , Lee Ford Kenneth , Gao Yue 
Published: October 2024

AbstractIn this paper, a reconfigurable transmitarray unit cell using liquid metal is presented. It consists of three conducting layers where the geometries of the resonators, on the different layers, differ and consist of an arrow shape together with rotated split rings. The arrow‐shaped conducting layer has the capability to convert the polarization of the incoming waves by 90°. The split ring resonators, on the upper and lower conducting layers, have the same dimensions but different orientations (horizontal and vertical polarization). Several fluidic channels are placed beneath/above the conducting layers. The transmission behaviour of the unit cell can be changed by altering the geometrical parameters which is achieved by injecting the liquid metal into the channels. More than 300° phase shift range with a maximum S21 of ∼ −1.5 dB at 3.3 GHz is obtained. It exhibits 3 dB of insertion loss over a bandwidth ranging from 3.2 to 3.43 GHz. It is the first time that a transmitarray unit cell, reconfigured employing liquid metal, provides a combination of low insertion loss and large phase shift range. The proposed prototype was fabricated and measured within an open‐ended waveguide and the measured results agree well with the simulations and verify the effectiveness of the design. The reconfigurable transmitarray unit cell can be used to design beam‐scanning arrays, as well as for applications in wireless communications.
Optimal power dispatch method for wind farms considering service quality and available power
Authors: Cheng Xueting , Wei Juan , Peng Hanzhi , Wang Jinhao , Hu Fan , Bo Liming 
Published: October 2024

AbstractThis paper proposes an active and reactive power dispatch method for a wind farms (WF) considering the real‐time service quality and the available power to achieve the fair power allocation within the WF. The goal is to ensure operational safety while meeting the power demand instructions from the dispatch centre. This paper generates WF service quality metrics based on real‐time monitoring data of key components to characterize the operational stability of the wind turbines (WTs). Specifically, service quality metrics related to active/reactive power are constructed separately to improve the accuracy of service quality assessment and power dispatch. The available power is then integrated into the service quality metrics to derive active/reactive power allocation factors, considering operational safety and power margin. Active power allocation is constrained by the power demand instructions, while reactive power allocation aims to maintain the WT terminal voltage within a feasible range. The proposed method can ensure the fair power allocation within WFs to meet the requirements of equipment reliability, voltage safety, and power supply simultaneously, which can improve resource utilization and avoid the potential failure. Case studies in MATLAB/Simulink confirm the effectiveness of the proposed method.
Betulinic Acid Acts in Synergism with Imatinib Mesylate, Triggering Apoptosis in MDR Leukemia Cells
Authors: Stutz Claudia , Fontão Ana Paula Gregório Alves , Silva Gustavo Werneck de Souza e , Seito Leonardo Noboru , Perdomo Renata Trentin , Sampaio André Luiz Franco 
Published: October 2024

AbstractChronic myeloid leukemia (CML) is a myeloproliferative disease, characterized by the presence of the oncogene BCR-ABL. Imatinib mesylate (IMA) is the first-line treatment for CML, and some treatment resistance has been reported. Natural products are rich sources of bioactive compounds with biological effects, opening a possibility to alter cell susceptibility to drugs such as imatinib. Herein, we evaluated the interference of betulinic acid and ursolic acid in glycoprotein P (P-gp) activity and the possible synergistic effect when associated with IMA by the Chou-Talalay method. Ursolic acid presented an IC50 of 14.0 µM and 19.6 µM for K562 and Lucena 1, respectively, whilst betulinic acid presented an IC50 of 8.6 µM and 12.5 µM for these cell lines. Evaluation of the combination of terpenoids and imatinib mesylate revealed that ursolic acid or betulinic acid acts in synergism with IMA, as indicated by the combination indexes (CI<1). Analysis of
annexin V labeling demonstrated that a combination of IMA with betulinic acid enhances the inhibition on cell proliferation via the apoptosis pathway, with caspases 3/7 activation after 24 hours of treatment and inhibition of the STAT5/survivin pathway, decreasing cell viability. The combination of natural products and IMA on a multidrug-resistant leukemia cell line is a promising strategy for CML treatment.
Why Target Communities Remain Subjects Rather than Partners of Development Agencies in Integrated Conservation and Development Projects in Latin America
Authors: Busck-Lumholt Louise Marie , Corbera Esteve , Mertz Ole 
Published: October 2024

Abstract
Despite repeated calls for locally anchored Integrated Conservation and Development Projects (ICDPs), the decision-making authority of targeted Indigenous Peoples and Local Communities (IPLCs) remains limited. This paper is grounded on an Institutional Logics perspective to examine the role of major development agencies—the World Bank (WB), the United States Agency for International Development (USAID), the Inter-American Development Bank (IDB), and the German Development Bank (KfW)—in perpetuating this challenge. Interviews with project managers in the Latin American and Caribbean (LAC) region reveal complex internal hierarchies, risk-focus, high performance pressure, a “better than nothing” rationale, and a hands-off approach to community participation. We argue that these tendencies are rooted in organisational structure and individual mentalities that constitute a project management logic, which in turn raises concerns about the ability and willingness of development agencies to foster local project ownership of ICDPs. The paper calls for the international donor community to reflect on and transform such management logic, and to allocate more substantial decision-making power and resources to local representatives.
Two Distinct Charge Orders in Infinite-Layer PrNiO2+δ Revealed by Resonant X-Ray Diffraction
Authors: Ren 任 Xiaolin 晓琳 , Sutarto Ronny , Gao 高 Qiang 强 , Wang 王 Qisi 奇思 , Li 李 Jiarui 佳睿 , Wang 王 Yao 耀 , Xiang 向 Tao 涛 , Hu 胡 Jiangping 江平 , Chang J. , Comin Riccardo , Zhou 周 X. J. 兴江 , Zhu 朱 Zhihai 志海 
Published: October 2024

Abstract
Research of infinite-layer nickelates has unveiled a broken translation symmetry, which has sparked significant interest in its root, its relationship to superconductivity, and its comparison to charge order in cuprates. In this study, resonant x-ray scattering measurements were performed on thin films of infinite-layer PrNiO2+δ
. The results show significant differences in the superlattice reflection at the Ni L
3 absorption edge compared to that at the Pr M
5 resonance in their dependence on energy, temperature, and local symmetry. These differences point to two distinct charge orders, although they share the same in-plane wavevectors. It is suggested that these dissimilarities could be linked to the excess oxygen dopants, given that the resonant reflections were observed in an incompletely reduced PrNiO2+δ
film. Furthermore, azimuthal analysis indicates that the oxygen ligands likely play a crucial role in the charge modulation revealed at the Ni L
3 resonance.
Jets, Accretion and Spin in Supermassive Black Holes
Authors: Chen Yongyun , Gu Qiusheng , Yang Jianghe , Fan Junhui , Yu Xiaoling , Xiong Dingrong , Ding Nan , Guo Xiaotong 
Published: October 2024

Abstract
The theoretical model suggests that relativistic jets of active galactic nuclei (AGNs) rely on the black hole spin and/or accretion. We study the relationship between jet, accretion, and spin using supermassive black hole samples with reliable spin of black holes. Our results are as follows: (1) There is a weak correlation between radio luminosity and the spin of the black hole for our sample, which may imply that the jet of the supermassive black hole in our sample depends on the other physical parameters besides black hole spins, such as accretion disk luminosity. (2) The jet power of a supermassive black hole can be explained by the hybrid model with magnetic field of corona. (3) There is a significant correlation between radio-loudness and black hole spin for our sample. These sources with high radio-loudness tend to have high black hole spins. These results provide observational evidence that the black hole spin may explain the bimodal phenomena of radio-loud and radio-quiet AGNs.
Adaptive Threshold Wave Front Sensing for Portable Adaptive Optics System Driven by Hybrid Parallel Technique
Authors: Zhang Tianyu , Wang Dongxia 
Published: October 2024

Abstract
Our Portable Adaptive Optics (PAO) system designed for high-contrast imaging of exoplanets with current 2–4 m class telescopes achieves a correction speed of nearly 1000 Hz, utilizing a Shack–Hartmann Wave Front Sensor (WFS) in a 9 × 9 sub-aperture configuration. As we look towards adapting the PAO system for larger telescopes, an increase in the number of sub-apertures in the WFS and enhanced precision in wave front detection are imperative. Originally programmed in LabVIEW, our initial PAO software is based on a traditional centroid calculation module for nighttime wave front sensing and lacks adaptive processing of background noise. To address these limitations and to boost the PAO system's performance and accuracy in wave front detection, we propose a compressive neural network (Th-Net) combined with a specialized hybrid parallel programming approach for wave front detection. Our experimental results indicate that this hybrid parallel technique and Th-Net significantly enhance the PAO system's operational speed and wave front detection precision under uneven background noise. This work paves the way so that a duplicable and low-cost PAO system can be used for direct imaging of exoplanets with large telescopes.
A New Approach of Data-driven Simulation and its Application to Solar Active Region 12673
Authors: Liu Zhi-Peng , Jiang Chao-Wei , Bian Xin-Kai , Liu Qing-Jun , Zou Peng , Feng Xue-Shang 
Published: October 2024

Abstract
The solar coronal magnetic field is a pivotal element in the study of eruptive phenomena, and understanding its dynamic evolution has long been a focal point in solar physics. Numerical models, driven directly by observation data, serve as indispensable tools in investigating the dynamics of the coronal magnetic field. This paper presents a new approach to electric field inversion, which involves modifying the electric field derived from the DAVE4VM velocity field using ideal Ohm’s law. The time series of the modified electric field is used as a boundary condition to drive a magnetohydrodynamics model, which is applied to simulate the magnetic field evolution of active region 12673. The simulation results demonstrate that our method enhances the magnetic energy injection through the bottom boundary, as compared with energy injection calculated directly from the DAVE4VM code, and reproduces the evolution of the photospheric magnetic flux. The coronal magnetic field structure is also in morphological similarity to the coronal loops. This new approach will be applied to the high-accuracy simulation of eruption phenomena and provide more details on the dynamical evolution of the coronal magnetic field.
Leveraging high-throughput analytics and automation to rapidly develop high-concentration mAb formulations: integrated excipient compatibility and viscosity screening
Authors: Xin Lun , Lan Lan , Mellal Mourad , McChesney Nathan , Vaughan Robert , Berdugo Claudia , Li Yunsong , Zhang Jingtao 
Published: October 2024

Abstract
Background: Formulation screening is essential to experimentally balance stability and viscosity in high-concentration mAb formulations. We developed a high-throughput approach with automated sample preparation and analytical workflows to enable the integrated assessment of excipient compatibility and viscosity of mAb formulations. Methods: Ninety-six formulations of a trastuzumab biosimilar were screened by combining 8 types of excipient modifiers with 4 types of buffers across a pH range of 4.5 to 7.5. Key stability risks, including high molecular weight (HMW) aggregation and fragmentation, were thoroughly assessed along with viscosity at high concentrations. Additionally, several biophysical parameters were evaluated for their ability to predict stability or viscosity outcomes. Multiple linear regression was applied to fit the data and identify key factors. Results: The optimal pH range for the trastuzumab biosimilar was found to be 5.0 to 6.5, based on opposing pH dependencies for stability and viscosity. Buffer type had a minor effect on viscosity and fragmentation but played a significant role in influencing HMW aggregates, with Na-acetate and histidine-HCl being the best candidates. The impact of excipient modifiers on viscosity, HMW, and fragmentation depended on both pH and buffer type, showing strong interactions among factors. Arginine-HCl and lysine-HCl effectively lowered viscosity of the trastuzumab biosimilar at pH levels above 6.0, while glycine formulations were more effective at reducing viscosity below pH 6.0. Histidine-HCl, arginine-HCl, and lysine-HCl lowered the risk of HMW aggregation, whereas formulations containing Na-phosphate or NaCl showed higher HMW aggregation. Formulations with arginine-HCl, lysine-HCl, and NaCl demonstrated a rapid increase in fragmentation at pH levels below 5.0, while Na-aspartate formulations showed increased fragmentation at pH levels above 6.5. Conclusion: Hence, it is important to optimize the levels of each chosen excipient in the formulation study to balance their benefits against potential incompatibilities. This study serves as a foundation for identifying high-concentration antibody formulations using a high-throughput approach, where minimal materials are required, and optimized formulation design spaces can be quickly identified.
Development and implementation of autoverification standardization in the adult and pediatric emergency department
Authors: Scott Savanna , Murtaza Umbreen , Choi Sara , Watt Ian , Chamless Juliana , Duncan Rosemary , Rowcliffe Meghan , Smith Jacob , Pherson Emily 
Published: October 2024

Abstract

Purpose
This project utilized the guidance of the American Society of Health-System Pharmacists (ASHP) autoverification toolkit to refine our health system’s approach to autoverification and contribute to the literature regarding appropriate use of autoverification technology in a pediatric and adult emergency department (ED).

Summary
This single-center quality improvement study was conducted in an academic medical center ED that has 33 pediatric beds and 77 adult beds. A team consisting of clinical pharmacy specialists in emergency medicine, medication safety and informatics personnel, operational managers, and pharmacy leadership was identified to develop and implement autoverification best practices in the ED utilizing practices outlined within the ASHP autoverification toolkit. Before implementation of best practices, defined as the “preoptimization” state, autoverification took place for most medications available in the automated dispensing cabinets (ADCs). By anchoring the autoverification rule on ADC inventory, it was challenging to optimize both inventory practices and autoverification best practices. This project focused on redesigning the autoverification rules in the electronic health record, defined as the “postoptimization” state. In the postoptimization state, autoverification in the ED was updated to better align with regulatory standards. Autoverification metrics and the percentage of orders that autoverified vs required pharmacist verification were analyzed in the preoptimization and postoptimization states.

Conclusion
This project utilized the guidance from ASHP’s autoverification toolkit to refine our health system’s approach to autoverification. High-alert medications (eg, insulin, extended-release opioids, digoxin) were taken off autoverification following implementation. Optimization of autoverification rules allows more orders for high-alert medications to be reviewed by a pharmacist.
Feasibility of trauma video review for the collection of medication-related information for research and quality improvement
Authors: Uttaro Elizabeth , Hopkins Anthony , Kokanovich Kate , Maynard Kaylee , Vella Michael , Jones Courtney M C , Miglani Andrea , Acquisto Nicole M 
Published: October 2024

Abstract

Purpose
Trauma video review (TVR) involves reviewing video recordings of team-based trauma response to evaluate team performance, identify improvement opportunities, and assess procedures, but the feasibility of using TVR to gather medication-related information is unknown. We aimed to assess the feasibility of using TVR for data collection of medication-related variables for research and quality improvement by comparing and describing differences between TVR and electronic medical record (EMR) review.

Methods
This was an observational study of level I/II trauma patients treated between November 2022 and March 2023. Patients with video recording started within 1 minute of arrival, at least 1 medication administered, and with pharmacist participation in care were included. The number of variables able to be collected by TVR or EMR review were compared and reported in the categories of medication administration, indicators of adverse drug events (ADEs), medication errors, and communication. The numbers and types of discrepancies between data collection modalities were quantified and described. Agreement between TVR and EMR review was assessed and reported as an intraclass correlation coefficient (ICC).

Results
Twenty-five patients were included; 758 and 1,011 variables collected by TVR and EMR review, respectively. In total, 689 variables were collected by both methods, and data collection modalities matched exactly in 4 of 25 patients (16%); ICC, 0.677 (moderate level of agreement). There were 46 (6.7%) discrepancies; 84% involved communication related variables. TVR missed more variables than EMR review, mostly medication errors and inability to assess ADEs but captured more communication-related variables.

Conclusion
TVR and EMR review together offer a greater source of medication-related information for data collection compared to either alone. EMR review collected medication administration, ADE, and medication errors variables more often than TVR and TVR was better able to collect communication-related variables. When designing studies/quality improvement efforts related to medication use during trauma resuscitation (e.g., pharmacist impact on time to administration), combined data collection modalities should be used, when available.
Multicenter Validation of the English Version of the Dépistage Cognitif de Québec: a Cognitive Screening Tool for Atypical Dementias
Authors: Meilleur-Durand Synthia , Lévesque Marianne , St-Onge Frederic , Masellis Mario , Hsiung Ging-Yuek Robin , Jarrett Pamela , Villeneuve Sylvia , Léger Gabriel , Salmon David , Galasko Doug , Cunnane Stephen C , Gauthier Serge , Callahan Brandy , Sellami Leila , Hudon Carol , Macoir Joël , Verret Louis , Cassivi-Joncas Alison , Comishen Michael , Laforce Robert 
Published: October 2024

Abstract

Background
Early detection of atypical dementia remains difficult partly because of the absence of specific cognitive screening tools. This creates undue delays in diagnosis and management. The Dépistage Cognitif de Québec (DCQ; dcqtest.org) was developed in French and later validated in participants with atypical syndromes. We report the validation of the English version.

Methods
This multicentre prospective validation study was conducted in 10 centers across Canada and the United States on 260 English-speaking participants aged over 50. We translated and modified the original French DCQ to add targeted stimuli to the Visusopatial Index and social cognition vignettes to the Behavioral Index. A backward translation was performed and equivalence between languages was assessed by administering both tests to 30 bilingual participants.

Results
Mean DCQ total score (out of 100) was 95.0 (SD = 3.6). Spearman’s correlation coefficient showed a strong and significant correlation (r = 0.49, p &lt; .001) with the Montreal Cognitive Assessment. Test–retest reliability was good (Spearman’s coefficient = 0.72, p &lt; .001) and interrater reliability, excellent (intraclass correlation = 0.97, p &lt; .001). Normative data shown in percentiles were stratified by age and education for a population-based sample of 260 English-speaking controls aged between 50 and 87 years old.

Conclusions
Similar to the French version, the English DCQ proved to be a valid cognitive screening test. The original version was very sensitive to detect atypical dementias such as primary progressive aphasias, Alzheimer’s disease’ variants and syndromes along the frontotemporolobar degeneration spectrum. This 20-min test can be administered à la carte and offers an alternative to detailed comprehensive neuropsychological evaluations.
Artificial intelligence and machine learning in dermatological research and healthcare: British Society for Investigative Dermatology Skin Club Report, Southampton, April 2024
Authors: Lai Chester , Fuggle Nicholas R , Matin Rubeta N , Tanaka Reiko J , Banerji Christopher R S , Rajan Neil 
Published: October 2024

Lay Summary
The British Society of Investigative Dermatology is the annual meeting of the UK’s skin research community. At this year’s meeting in Southampton, there was a discussion on the history and potential of artificial intelligence (‘AI’) in health care.
The four experts who spoke at the meeting have summarized their lectures in this paper. There is a piece on Alan Turing, who proposed the ‘Turing Test’ to find out if a machine could think like a human. Concepts like ‘machine learning’ (a key tool in AI) are explained. Next, there is a piece on the challenges of using AI decision-making tools in the skin cancer pathway. We discuss AI/machine learning approaches to grouping patients and choosing the best treatments for people with ‘atopic dermatitis’ (or ‘eczema’). Finally, potential pitfalls in AI are highlighted, including the need to explain how AI makes decisions and approaches to achieving this.
There is much excitement about AI, and this paper captures the discussion from the meeting of the current state of AI in dermatology health care.