bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantifying biomolecular organisation in membranes with brightness-transit statistics
Authors: Schneider Falk , Cespedes Pablo F. , Karedla Narain , Dustin Michael L. , Fritzsche Marco 
Published: August 2024

AbstractCells crucially rely on the interactions of biomolecules at their plasma membrane to maintain homeostasis. Yet, a methodology to systematically quantify biomolecular organisation, measuring diffusion dynamics and oligomerisation, represents an unmet need. Here, we introduce the brightness-transit statistics (BTS) method based on fluorescence fluctuation spectroscopy and combine information from brightness and transit times to elucidate biomolecular diffusion and oligomerisation in both cell-free in vitro and in vitro systems incorporating living cells. We validate our approach in silico with computer simulations and experimentally using oligomerisation of EGFP tethered to supported lipid bilayers. We apply our pipeline to study the oligomerisation of CD40 ectodomain in vitro and endogenous CD40 on primary B cells. While we find a potential for CD40 to oligomerize in a concentration or ligand depended manner, we do not observe mobile oligomers on B cells. The BTS method combines sensitive analysis, quantification, and intuitive visualisation of dynamic biomolecular organisation.
Machine learning discovery of cost-efficient dry cooler designs for concentrated solar power plants
Authors: Narasiah Hansley , Kitouni Ouail , Scorsoglio Andrea , Sturdza Bernd K. , Hatcher Shawn , Katcher Kelsi , Khalesi Javad , Garcia Dolores , Kusner Matt J. 
Published: August 2024

AbstractConcentrated solar power (CSP) is one of the few sustainable energy technologies that offers day-to-night energy storage. Recent development of the supercritical carbon dioxide (sCO2) Brayton cycle has made CSP a potentially cost-competitive energy source. However, as CSP plants are most efficient in desert regions, where there is high solar irradiance and low land cost, careful design of a dry cooling system is crucial to make CSP practical. In this work, we present a machine learning system to optimize the factory design and configuration of a dry cooling system for an sCO2 Brayton cycle CSP plant. For this, we develop a physics-based simulation of the cooling properties of an air-cooled heat exchanger. The simulator is able to construct a dry cooling system satisfying a wide variety of power cycle requirements (e.g., 10–100 MW) for any surface air temperature. Using this simulator, we leverage recent results in high-dimensional Bayesian optimization to optimize dry cooler designs that minimize lifetime cost for a given location, reducing this cost by 67% compared to recently proposed designs. Our simulation and optimization framework can increase the development pace of economically-viable sustainable energy generation systems.
Racial and social-economic inequalities in systemic chemotherapy use among adult glioblastoma patients following surgery and radiotherapy
Authors: Xu Fei , Hua Xin , Wang Mengdi , Cao Weiguo , Wang Shubei , Xu Cheng , Chen Jiayi , Gao Yunsheng , Chen Linlin , Ni Weiqiong 
Published: August 2024

AbstractNot all patients with glioblastoma multiforme (GBM) eligible for systemic chemotherapy after upfront surgery and radiotherapy finally receive it. The information on patients with GBM was retrieved from the surveillance, epidemiology, and end results database. Patients who underwent upfront surgery or biopsy and external beam radiotherapy between 2010 and 2019 were eligible for systemic chemotherapy. The available patient and tumor characteristics were assessed using multivariable logistic regression and chi-squared test. Out of the 16,682 patients eligible, 92.1% underwent systemic chemotherapy. The characteristics linked to the lowest systemic chemotherapy utilization included tumors of the brain stem/cerebellum (P = 0.01), former years of diagnosis (P = 0.001), ≥ 80 years of age (P < 0.001), Hispanic, Non-Hispanic Asian, Pacific Islander, or Black race (P < 0.001), non-partnered status (P < 0.001), and low median household income (P = 0.006). Primary tumor site, year of diagnosis, age, race, partnered status, and median household income correlated with the omission of systemic chemotherapy in GBM in adult patients.
Electronic data capture in resource-limited settings using the lightweight clinical data acquisition and recording system
Authors: Vielhauer Jakob , Mahajan Ujjwal Mukund , Adorjan Kristina , Benesch Christopher , Oehrle Bettina , Beyer Georg , Sirtl Simon , Johlke Anna-Lena , Allgeier Julian , Pernpruner Anna , Erber Johanna , Shamsrizi Parichehr , Schulz Christian , Albashiti Fady , Hinske Ludwig Christian , Mayerle Julia , Stubbe Hans Christian 
Published: August 2024

AbstractOur prototype system designed for clinical data acquisition and recording of studies is a novel electronic data capture (EDC) software for simple and lightweight data capture in clinical research. Existing software tools are either costly or suffer from very limited features. To overcome these shortcomings, we designed an EDC software together with a mobile client. We aimed at making it easy to set-up, modifiable, scalable and thereby facilitating research. We wrote the software in R using a modular approach and implemented existing data standards along with a meta data driven interface and database structure. The prototype is an adaptable open-source software, which can be installed locally or in the cloud without advanced IT-knowledge. A mobile web interface and progressive web app for mobile use and desktop computers is added. We show the software’s capability, by demonstrating four clinical studies with over 1600 participants and 679 variables per participant. We delineate a simple deployment approach for a server-installation and indicate further use-cases. The software is available under the MIT open-source license. Conclusively the software is versatile, easily deployable, highly modifiable, and extremely scalable for clinical studies. As an open-source R-software it is accessible, open to community-driven development and improvement in the future.
Synthesis and quality assessment of combined time-series and static medical data using a real-world time-series generative adversarial network
Authors: Kim Jaewon , Choo Hyunwoo , Shin Soo-Yong , Song Kyoung Doo 
Published: August 2024

AbstractThis study addresses challenges related to privacy issues in utilizing medical data, particularly the protection of personal information. To overcome this obstacle, the research focuses on data synthesis using real-world time-series generative adversarial networks (RTSGAN). A total of 53,005 data were synthesized using the dataset of 15,799 patients with colorectal cancer. The results of the quantitative evaluation of the synthetic data’s quality are as follows: the Hellinger distance ranged from 0 to 0.25; the train on synthetic, test on real (TSTR) and train on real, test on synthetic (TRTS) results showed an average area under the curve of 0.99 and 0.98; a propensity mean squared error was 0.223. The synthetic and real data were similar in the qualitative methods including t-SNE and histogram analyses. The application of synthetic data in predicting five-year survival in colorectal cancer patients demonstrates comparable performance to models based on real data. This study employs distance to closest records and membership inference test to assess potential privacy exposure, revealing minimal risk. This study demonstrated that it is feasible to synthesize medical data, including time-series data, using the RTSGAN, and the synthetic data can be evaluated to accurately reflect the characteristics of real data through quantitative and qualitative methods as well as by utilizing real-world artificial intelligence models.
Breaking the diffusion coefficient limitation of bismuth oxide anodes for aqueous alkaline batteries with ultra-high rate capability
Authors: Zhou Fengming , Wang Xiaodong , Gu Shiyu , Li Mingjie , Xia Ranqiang , Li Xinyu , Li Zhenjiang , Zhang Qi , Xiao Zhenyu , Wang Lei 
Published: August 2024

In this study, the double-high hierarchical porous amorphous Bi2O3 anode material (HPAM Bi2O3) is firstly synthesized by ion exchange strategy via employing Bi-BTC nanorod as the precursor.
The impact of crystal grain size on the behavior of disordered ferromagnetic systems: from thin to bulk geometry
Authors: Spasojević Djordje , Janićević Sanja 
Published: August 2024

Abstract
We report the findings of an extensive and systematic study on the effect of crystal grain size on the response of field-driven disordered ferromagnetic systems with thin, intermediate, and bulk geometry. For numerical modeling we used the athermal nonequilibrium variant of the random field Ising model simulating the systems with tightly packed and uniformly cubic-shaped, magnetically exchange-coupled crystal grains, conducted over a wide range of grain sizes. Together with the standard hysteresis loop characterizations, we offer an in-depth examination of the avalanching response of the system, estimating the effective grain-size-related exponents by analyses of the distributions of various avalanche parameters, average avalanche shape and size, and power spectra. Our results demonstrate that grain size plays an important role in the behavior of the system, outweighing the effect of its geometry. For sufficiently small grains, the characteristics of the system response are largely unaffected by grain size; however, for larger grains, the effects become more noticeable and show up as distinct asymmetry in the magnetization susceptibilities and average avalanche shapes, as well as characteristic kinks in the distributions of avalanche parameters, susceptibilities, and magnetizations for the largest grain sizes. Our insights, unveiling the sensitivity of the system’s response to the underlying structure in terms of crystal grain size, may prove beneficial in interpreting and analyzing experimental results obtained from driven disordered ferromagnetic samples of different geometries, as well as in extending the range of possible applications.
Research on the control technology of aircraft landing gear buffer variable stroke
Authors: Dai Xin , Liu Lu , Xu Qing , Xu Fangfang , Hu Xiaotian 
Published: August 2024

Abstract
The landing gear performance test is an essential part of the aircraft development process. In order to simulate the state of the landing gear during take-off, cruise, and landing, the landing gear buffer is required to have the function of self-variable stroke. This paper proposes a new method to establish a variable travel control system for the landing gear buffer, which realizes the automatic adjustment of the buffer so that the landing gear fatigue test can be implemented quickly and accurately. In the test verification, with the help of the aircraft landing gear fatigue test jigs and fixtures, the operation process of the landing gear buffer variable stroke control system is studied to verify the feasibility of this system, and the system is applied to a certain type of aircraft landing gear fatigue test.
Attitude dynamics simulation and analysis of a flexible satellite
Authors: Li Jinsong , Yang Yingquan , Liu Danfeng , Zhang Yonghe , Chen Wen , Zhou Heng 
Published: August 2024

Abstract
Dynamic models of flexible satellites are carried out using the virtual work principle. The kinematic model and the dynamic model are established respectively. The coupling characteristics of the flexible mechanism and its influence on the attitude of the satellite are analyzed by simulation, and the correctness of the mathematical modeling is validated.
Numerical study of aerodynamic noise of airfoil with rudder and porous material configuration
Authors: Zhang Daqian , Liu Sitong , Chen Zhongming 
Published: August 2024

Abstract
Porous materials are not only lightweight but also exhibit excellent noise reduction performance, making them an ideal choice for aerospace applications. This paper analyzes the aerodynamic noise effects of porous material foam aluminum on the rudder-containing NACA0018 standard airfoil with different porous material configurations and rudder deflection angles. The calculation results show that the surface porous can better balance the reduction of noise and the maintenance of aerodynamic performance. Finally, the influence mechanism of porous materials on the aerodynamic and noise reduction characteristics of rudder airfoils is analyzed through the sound directivity map and time-averaged flow field.
Mechanical behavior of periodic porous al with rotating polygonal structures under uniaxial compression
Authors: Chen Zhe , Hu Yifeng 
Published: August 2024

Abstract
Metamaterials are a promising solution to meet the increasing demand for high-performance materials that are also lightweight. A key feature of many metamaterials is their negative Poisson’s ratio, which leads to counterintuitive deformation behavior during mechanical stress. This property is unaffected by scale, making it both a macroscopic material property and a microscopic internal structural property. This paper presents a study of the bilinear constitutive model of negative Poisson’s ratio elastoplastic metamaterials, which analyzes the micro-rotation of cells and derives the constitutive model of these materials. Macroscopic experiments confirm that the deformation and failure mechanism of metamaterials align with the theoretical model, where the microscopic rotation characterizes the macroscopic deformation. Simulation analysis is carried out based on the elastic-plastic phase field method. The designability and potential for light weighting of negative Poisson’s ratio metamaterials provide a way to meet even more demanding requirements in the future, without sacrificing material performance.
In-situ electrochemical corrosion behavior of oil well tubing in CO2-containing highly mineralized oilfield produced water: Revealing the effect of temperature
Authors: Yang Liuyang , Liu Changpu , Fan Haiming , Zhang Dalei 
Published: August 2024

Abstract
The in-situ electrochemical corrosion behavior of oil well tubing at 80 °C and 150 °C in highly mineralized oilfield produced water was investigated by conventional electrochemical methods. The results indicated that N80 steel is controlled by charge transfer in the initial-corrosion stage (2-8 h) of 80 °C, and the corrosion rate weakens with the accumulation of corrosion product films. The post-corrosion stage (12-72 h) is controlled by a combination of reactive adsorption and charge transfer, and the adsorbed intermediates lead to enhanced reactive dissolution of the substrate, which promotes corrosion. At 150 °C, the electrochemical corrosion in the initial-corrosion stage (2-24 h) is controlled by the diffusion process. In the post-corrosion stage (12-72 h), the double-capacitance resistance characteristic exhibits the active deposition state, and the corrosion process is weakened. In addition, the kinetic potential polarization curves at both temperatures indicate that the corrosion product layer has pseudo-passivation properties. The increase in temperature contributes to the nucleation and growth of carbonate crystals, and the mixed FeCO3 and CaCO3 film at 150 °C is more protective than the amorphous layer structure at 80 °C.
An international, multicenter post hoc analysis comparing in-person and virtual medication management strategies in post-ICU recovery clinics
Authors: Beaudrie-Nunn Aeryana N , Poyant Janelle O , Groth Christine M , Rappaport Stephen H , Kruer Rachel M , Miller Emily , Whitten Jessica A , Mcintire Allyson M , McDaniel Cara M , Betthauser Kevin D , Mohammad Rima A , Kenes Michael T , Korona Rebecca Bookstavar , Barber Alexandra E , MacTavish Pamela , Dixit Deepali , Yeung Siu Yan A , Stollings Joanna L 
Published: August 2024

Abstract

Purpose
To compare the incidence of ICU pharmacist interventions in intensive care unit recovery center (ICU-RC) in-person and virtual clinic visits.

Methods
This was a post hoc analysis of interventions implemented by ICU pharmacists among adult patients who were referred to 12 ICU-RCs across the United States and the United Kingdom between September 2019 and July 2021, as reported in the previously published study “An International, Multicenter Evaluation of Comprehensive Medication Management by Pharmacists in ICU Recovery Centers.” That study included patients who received a comprehensive medication review by an ICU pharmacist. Medication-related interventions performed by an ICU pharmacist during ICU-RC in-person clinic visits were compared to those performed during virtual clinic visits.

Results
There were 507 patients referred to an ICU-RC, of whom 474 patients attended a clinic visit. Of those, 472 received a comprehensive medication review, with 313 patients attending in-person visits and 159 patients attending virtual visits. The incidence of medication-related interventions implemented was higher in the ICU-RC in-person clinic group compared to the virtual clinic group (86.5% vs 79.2%, P = 0.04). There was no difference in the median number of ICU pharmacist interventions per patient between the in-person and virtual clinic groups (2 vs 2, P = 0.13). An ICU admission diagnosis was an independent predictor of medication-related interventions among all patients.

Conclusion
The incidence of ICU pharmacist interventions was higher at ICU-RC in-person clinic visits compared to virtual clinic visits. Pharmacists aid in meeting the complex pharmacologic challenges of post-intensive care syndrome in both settings.
Interpretation of ferritin concentrations in the dermatology clinic
Authors: Verran Callum D , Alexander Madeleine G , Shipman Alexa R , Shipman Kate E 
Published: August 2024

Abstract
Ferritin measurement is a common laboratory test in dermatology. Ferritin is a marker of iron storage in the human body but can also be ­elevated in inflammatory states. Therefore, changes in ferritin are nonspecific, and correlation of specific clinical findings and risk factors with ferritin concentration and other biomarkers, e.g. iron studies or C-reactive protein tests, is recommended. This article discusses iron metabolism and the indications for ferritin measurement in dermatology and how to interpret the laboratory results.
Exploring functional connectivity in large-scale brain networks in obsessive-compulsive disorder: a systematic review of EEG and fMRI studies
Authors: Perera M Prabhavi N , Gotsis Efstathia S , Bailey Neil W , Fitzgibbon Bernadette M , Fitzgerald Paul B 
Published: August 2024

Abstract
Obsessive-compulsive disorder (OCD) is a debilitating psychiatric condition that is difficult to treat due to our limited understanding of its pathophysiology. Functional connectivity in brain networks, as evaluated through neuroimaging studies, plays a pivotal role in understanding OCD. While both electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have been extensively employed in OCD research, few have fully synthesized their findings. To bridge this gap, we reviewed 166 studies (10 EEG, 156 fMRI) published up to December 2023. In EEG studies, OCD exhibited lower connectivity in delta and alpha bands, with inconsistent findings in other frequency bands. Resting-state fMRI studies reported conflicting connectivity patterns within the default mode network (DMN) and sensorimotor cortico-striato-thalamo-cortical (CSTC) circuitry. Many studies observed decreased resting-state connectivity between the DMN and salience network (SN), implicating the 'triple network model' in OCD. Task-related hyperconnectivity within the DMN-SN and hypoconnectivity between the SN and frontoparietal network suggest OCD-related cognitive inflexibility, potentially due to triple network dysfunction. In conclusion, our review highlights diverse connectivity differences in OCD, revealing complex brain network interplay that contributes to symptom manifestation. However, the presence of conflicting findings underscores the necessity for targeted research to achieve a comprehensive understanding of the pathophysiology of OCD.
Automatic for the (tax) people: information sharing and cross-border investment in tax havens
Authors: Bénétrix Agustín , Emter Lorenz , Schmitz Martin 
Published: August 2024

Summary
This paper examines the impact of international automatic exchange of information (AEOI) treaties on cross-border investments in tax havens. Using a restricted version of the BIS Locational Banking Statistics, we find that AEOIs significantly reduced cross-border deposits. A sectoral breakdown assessment reveals that households were the key driving force behind this contraction. However, we also document evidence of households’ deposits shifting to non-AEOI haven countries and larger deposits by non-bank financial institutions between tax haven countries, suggesting an increased use of shell corporation networks since AEOI introduction. Extending the analysis to portfolio and direct investment, we observe that changes in investment patterns vis-à-vis tax havens are consistent with a significant impact of AEOI treaties on these forms of cross-border investment.
Cardiovascular disease assessment and management in liver transplantation
Authors: Harinstein Matthew E , Gandolfo Caterina , Gruttadauria Salvatore , Accardo Caterina , Crespo Gonzalo , VanWagner Lisa B , Humar Abhinav 
Published: August 2024

Abstract
The prevalence and mortality related to end-stage liver disease (ESLD) continue to rise globally. Liver transplant (LT) recipients continue to be older and have inherently more comorbidities. Among these, cardiac disease is one of the three main causes of morbidity and mortality after LT. Several reasons exist including the high prevalence of associated risk factors, which can also be attributed to the rise in the proportion of patients undergoing LT for metabolic dysfunction-associated steatohepatitis (MASH). Additionally, as people age, the prevalence of now treatable cardiac conditions, including coronary artery disease (CAD), cardiomyopathies, significant valvular heart disease, pulmonary hypertension, and arrhythmias rises, making the need to treat these conditions critical to optimize outcomes. There is an emerging body of literature regarding CAD screening in patients with ESLD, however, there is a paucity of strong evidence to support the guidance regarding the management of cardiac conditions in the pre-LT and perioperative settings. This has resulted in significant variations in assessment strategies and clinical management of cardiac disease in LT candidates between transplant centres, which impacts LT candidacy based on a transplant centre's risk tolerance and comfort level for caring for patients with concomitant cardiac disease. Performing a comprehensive assessment and understanding the potential approaches to the management of ESLD patients with cardiac conditions may increase the acceptance of patients, who appear too complex, but rather require extra evaluation and may be reasonable candidates for LT. The unique physiology of ESLD can profoundly influence preoperative assessment, perioperative management, and outcomes associated with underlying cardiac pathology, and requires a thoughtful multidisciplinary approach. The strategies proposed in this manuscript attempt to review the latest expert experience and opinions and provide guidance to practicing clinicians who assess and treat patients being considered for LT. These topics also highlight the gaps that exist in the comprehensive care of LT patients and the need for future investigations in this field.