bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contextualizing Lorenzo Morelli's Youthful Patronage (1463–1473)☆
Authors: Hudson Hugh 
Published: July 2024

AbstractA ledger of the Florentine apprentice silk merchant and rising bureaucrat, Lorenzo Morelli (1446–1528), is notable for its references to distinguished artworks and furniture he commissioned from a young age. Study of the ledger, now housed in the Archivio di Stato di Firenze and catalogued as Gherardi Piccolomini d'Aragona 137, has for the most part focused on the immediate circumstances in which the few surviving artworks were commissioned, or more broadly, but imprecisely, the extent to which his marriage and the dowry it brought, influenced his patronage. However, study of the ledger has not extended much beyond Morelli's marriage arrangements or exploited biographical information in his contemporary libro rosso (red book) ledger. Nor have studies engaged extensively with the substantial body of published research on the Morelli family and their political careers and social networks. Doing so provides a more holistic view of Morelli's youthful patronage, greater insight into how his personal, social and financial motivations for patronage were interrelated and gives rise to a new hypothesis about the intended destination for an early group of commissions whose purpose was not recorded by Morelli.
Association of Accelerometer‐Determined Physical Activity and Sedentary Behavior With the Gut Microbiome in Middle‐Aged Women: A Compositional Data Approach
Authors: Pérez‐Prieto Inmaculada , Migueles Jairo H. , Molina Nerea M. , Sola‐Leyva Alberto , Salas‐Espejo Eduardo , Arffman Riikka K. , Nurkkala Marjukka , Niemelä Maisa , Lüll Kreete , Org Elin , Franks Stephen , Tapanainen Juha S. , Salumets Andres , Piltonen Terhi T. , Ortega Francisco B. , Altmäe Signe 
Published: July 2024

ABSTRACTThe beneficial effects of physical activity (PA) on gut microbiome have been reported, nevertheless the findings are inconsistent, with the main limitation of subjective methods for assessing PA. It is well accepted that using an objective assessment of PA reduces the measurement error and also allows objective assessment of sedentary behavior (SB). We aimed to study the associations between accelerometer‐assessed behaviors (i.e., SB, light‐intensity physical activity [LPA] and moderate‐to‐vigorous physical activity [MVPA]) with the gut microbiome using compositional data analysis, a novel approach that enables to study these behaviors accounting for their inter‐dependency. This cross‐sectional study included 289 women from the Northern Finland Birth Cohort 1966. Physical activity was measured during 14 days by wrist‐worn accelerometers. Analyses based on the combined effect of MVPA and SB, and compositional data analyses in association with the gut microbiome data were performed. The microbial alpha‐ and beta‐diversity were not significantly different between the MVPA‐SB groups, and no differentially abundant microorganisms were detected. Compositional data analysis did not show any significant associations between any movement behavior (relative to the others) on microbial alpha‐diversity. Butyrate‐producing bacteria such as Agathobacter and Lachnospiraceae CAG56 were significantly more abundant when reallocating time from LPA or SB to MVPA (γ = 0.609 and 0.113, both p‐values = 0.007). While PA and SB were not associated with microbial diversity, we found associations of these behaviors with specific gut bacteria, suggesting that PA of at least moderate intensity (i.e., MVPA) could increase the abundance of short‐chain fatty acid–producing microbes.
A novel syphilis Treponema pallidum lipoprotein peptide antigen diagnostic assay using red cell kodecytes in routine blood centre column agglutination testing platforms
Authors: Datta Suvro Sankha , Nagappan Radhika , Biswas Durba , Basu Debapriya , Gupta Kaushik , Mondal Pradip Kumar , Tuzikov Alexander , Bovin Nicolai V. , Henry Stephen M. 
Published: July 2024

AbstractBackground and ObjectivesThe detection of treponemal antibodies, which are used to make a diagnosis of syphilis, is important both for diagnostic purposes and as a mandatory blood donor test in most countries. We evaluated the feasibility of using Kode Technology to make syphilis peptide red cell kodecytes for use in column agglutination serologic platforms.Materials and MethodsCandidate Kode Technology function‐spacer‐lipid (FSL) constructs were made for the Treponema pallidum lipoprotein (TmpA) of T. pallidum, using the peptide and FSL selection algorithms, and then used to make kodecytes. Developmental kodecytes were evaluated against a large range of syphilis antibody reactive and non‐reactive samples in column agglutination platforms and compared against established methodologies. Overall, 150 reactive and 2072 non‐reactive Syphicheck assay (a modified T. pallidum particle agglutination) blood donor samples were used to evaluate the agreement rate of the developed kodecyte assay.ResultsFrom three FSL‐peptide candidate constructs, one was found to be the most suitable for diagnostics. Of 150 Syphicheck assay reactive samples, 146 were TmpA–kodecyte reactive (97.3% agreement), compared with 58.0% with the rapid plasmin reagin (RPR) assay for the same samples. Against the 2072 expected syphilis non‐reactive samples the agreement rate for TmpA–kodecytes was 98.8%.ConclusionTmpA–kodecytes are viable for use as cost‐effective serologic reagent red cells for the detection of treponemal antibodies to diagnose syphilis with a high level of specificity in blood centres. This kodecyte methodology also potentially allows for introduction of the reverse‐algorithm testing into low‐volume laboratories, by utilizing existing transfusion laboratory infrastructure.
Digital Community Support and Management Application and Dashboard Features for Pandemic Outbreak Management in Malaysia Setting
Authors: Maarop Dr Nurazean , Shaharudin Nurul Sakina , Chuprat Suriayati , Samy Ganthan Narayana , Hassan Noor Hafizah , Kamaruddin Norshaliza , Mohammad Roslina , Megat Mohd Zainuddin Norziha 
Published: July 2024

Disaster management is the process of organizing and managing resources and responsibilities for dealing with the humanitarian elements of disasters, including preparedness, response, and recovery. Disaster management’s objective is to mitigate the impact of disasters on communities. Numerous infectious diseases can offer a significant threat on a local regional, and global scale, and in certain cases can result in epidemics or pandemics. Due to the massive volume of information and data generated every minute, data visualization is a necessary strategy for conveying information accurately and ensuring that people grasp it immediately upon first glance. This scope of the inquiry was based on the phenomenon of the covid-19 outbreak, and all the data were gathered within Malaysia. The analysis’s parameters were chosen after thorough investigation and consultation with professionals. This study acquired data through telephone interviews with residents of the affected communities. Eight digital community features were proposed in this study to help the management of pandemic outbreak. With comprehensive features and the capacity to be accessed by the general public, all afflicted communities can be certain that they will receive all available aid from the government or non-governmental organization, and the extent of assistance covered is visible on the dashboard.
The Effect of Unsteady Inlet Boundary Conditions on the Aero-Thermal Behavior of High-Pressure Turbine Vanes – A Numerical Study Using Scale-Resolving Simulations
Authors: Gründler Jonathan , Lehmann Knut , Schiffer Heinz-Peter 
Published: July 2024

Abstract
This paper presents the application of a novel method to prescribe unsteady boundary conditions to transient, scale-resolving computational fluid dynamics simulations of the high-pressure turbine in modern jet engines. The methodology is based on the compression of the interface data at the combustor–turbine interface, using proper orthogonal decomposition and Fourier series (PODFS). Doing so can reduce the stored data at the interface drastically. The capability of the PODFS method to produce realistic inlet boundary conditions was demonstrated in previous work. Here, the method is applied to a turbine case. The outlet data of a combustor simulation is used to create the PODFS boundary conditions for a scale-resolving simulation of a simplified first nozzle guide vane of the high-pressure turbine. This simulation is compared with simulations with steady-state boundary conditions to show the effect of unsteadiness in the inlet boundary condition on the aerodynamic and thermal behaviors of the turbine. While the aerodynamics show minor sensitivity against the way of applying the inlet boundary conditions, the thermal behavior of the vanes is strongly affected by the modeling of combustor unsteadiness.
A Hybrid Data-Driven Method Based on Data Preprocessing to Predict the Remaining Useful Life of Lithium-Ion Batteries
Authors: Huo Weiwei , Wang Aobo , Lu Bing , Jia Yunxu , Li Chen 
Published: July 2024

Abstract
The estimation of remaining useful life (RUL) for lithium-ion batteries is an essential part for a battery management system. A hybrid method is presented which is combining principal component analysis (PCA), improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), sparrow search algorithm (SSA), Elman neural network (Elman NN), and gaussian process regression (GPR) to forecast battery RUL. First, in the data preprocessing stage, the PCA + ICEEMDAN algorithm is creatively proposed to extract features of capacity decay and fluctuation. The PCA method is used to reduce the dimensionality of the extracted indirect health indicators (HIs), and then the ICEEMDAN algorithm is introduced to decompose the fused HI sequence and actual capacity data into residuals and multiple intrinsic mode functions (IMFs). Second, in the prediction stage, feature data are corresponded one-to-one with the mixed model. The prediction models of SSA–Elman algorithm and GPR algorithm are established, with the SSA–Elman algorithm predicting the capacity decay trend and the GPR algorithm quantifying the uncertainty caused by the capacity regeneration phenomenon. The final prediction results are obtained by superimposing the two sets of prediction data, and the prediction error and RUL are calculated. The effectiveness of the proposed hybrid approach is validated by RUL prediction experiments on three kinds of batteries. The comparative experimental results indicate that the mean absolute error (MAE) and root mean square error (RMSE) of the presented prediction model for lithium-ion battery capacity are less than 0.7% and 1.0%.
Gauging and Imaging of Pipes Using a Water-Immersible Ultrasonic Instrumentation System
Authors: Pavan Kumar N. , Patankar V. H. 
Published: July 2024

Abstract
The purpose of this research work is to establish the functionality of the novel ultrasonic non-destructive inspection system and accurate gauging of pipes and to locate and visualize flaws in the form of B-scan cross-sectional view (front-view) of the pipe under test. This paper presents a custom-made perspex inspection head assembly integrated with a stand-alone, Li-ion battery-powered and IP67-grade water-immersible ultrasonic instrumentation and gauging system, which enables an efficient assessment of the condition and health of pipes in stringent environments. Extensive inspection was carried out on six samples of 12 in. inner diameter (ID) type carbon steel (CS) pipes with length of 500 mm and having machined wall thickness to simulate loss of wall thicknesses from 10% over a length 150 mm of pipe, using 5 MHz spherically focused transducers. Further inspection were carried out on a 12 in. CS pipe with four notches and four flat bottom holes (FBHs) machined on the outer diameter (OD) side. Identical flaws were also machined onto 12 in. CS pipe of total length 700 mm containing water inside the pipe in flowing condition with water flowrate of 100 liters per minute (LPM). The test results demonstrate the effectiveness of the developed IP67-grade water-immersible ultrasonic pipe inspection and gauging instrumentation system for assessing the condition and health of long-length carbon steel pipes operating in harsh environments.
Standing on the Shoulders of Giants: Essential Papers in Sports and Exercise Physiology
Authors: de Koning Jos J. , Foster Carl 
Published: July 2024

Purpose: The purpose of this survey was to create a list of essential historical and contemporary readings for undergraduate and graduate students in the field of exercise physiology. Methods: Fifty-two exercise physiologists/sport scientists served as referees, and each nominated ∼25 papers for inclusion in the list. In total, 396 papers were nominated by the referees. This list was then sent back to the referees, with the instructions to nominate the “100 essential papers in sports and exercise physiology.” Results: The referees cast 4722 votes. The 100 papers with the highest number of votes received 51% (2406) of the total number of votes. A total of 37 papers in the list of “100 essential papers” were published >50 years ago, and 63 papers were published since 1973. Conclusions: This list of essential studies will provide a perspective on contemporary studies, the “giant’s shoulders” to enable young scholars to “see further” or to understand where they have “come from.” This compilation is also meant to impress on students that, given the (lack of) technology available in the past, some of the early science required enormous intuitive leaps on the part of historical scientists.
Systematic analysis of the
Candida albicans
kinome reveals environmentally contingent protein kinase-mediated regulation of filamentation and biofilm formation
in vitro
and
in vivo
Authors: Kramara Juraj , Kim Min-Ju , Ollinger Tomye L. , Ristow Laura C. , Wakade Rohan S. , Zarnowski Robert , Wellington Melanie , Andes David R. , Mitchell Aaron G. , Krysan Damian J. 
Published: July 2024

ABSTRACT

Protein kinases are critical regulatory proteins in both prokaryotes and eukaryotes. Accordingly, protein kinases represent a common drug target for a wide range of human diseases. Therefore, understanding protein kinase function in human pathogens such as the fungus
Candida albicans
is likely to extend our knowledge of its pathobiology and identify new potential therapies. To facilitate the study of
C. albicans
protein kinases, we constructed a library of 99 non-essential protein kinase homozygous deletion mutants marked with barcodes in the widely used SN genetic background. Here, we describe the construction of this library and the characterization of the competitive fitness of the protein kinase mutants under 11 different growth and stress conditions. We also screened the library for protein kinase mutants with altered filamentation and biofilm formation, two critical virulence traits of
C. albicans
. An extensive network of protein kinases governs these virulence traits in a manner highly dependent on the specific environmental conditions. Studies on specific protein kinases revealed that (i) the cell wall integrity MAPK pathway plays a condition-dependent role in filament initiation and elongation; (ii) the hyper-osmolar glycerol MAPK pathway is required for both filamentation and biofilm formation, particularly in the setting of
in vivo
catheter infection; and (iii) Sok1 is dispensable for filamentation in hypoxic environments at the basal level of a biofilm but is required for filamentation in normoxia. In addition to providing a new genetic resource for the community, these observations emphasize the environmentally contingent function of
C. albicans
protein kinases.

IMPORTANCE

Candida albicans
is one of the most common causes of fungal disease in humans for which new therapies are needed. Protein kinases are key regulatory proteins and are increasingly targeted by drugs for the treatment of a wide range of diseases. Understanding protein kinase function in
C. albicans
pathogenesis may facilitate the development of new antifungal drugs. Here, we describe a new library of 99 protein kinase deletion mutants to facilitate the study of protein kinases. Furthermore, we show that the function of protein kinases in two virulence-related processes, filamentation and biofilm formation, is dependent on the specific environmental conditions.
Anesthetic management with labor epidural analgesia of the parturient with severe factor VII deficiency: a case report
Authors: Hyers Benjamin , Cabrera Camila , Walsh Christopher , Reddy Anusha , Strulowitz Talia , Hamburger Joshua , Knibbs Nakiyah , Katz Daniel , Ferrara Lauren , Beilin Yaakov 
Published: July 2024

BackgroundFactor VII deficiency is considered a contraindication to neuraxial anesthesia due to the risk of an epidural hematoma.Case ReportA 32 year old G1P0 parturient with severe factor VII deficiency presented for an anesthesiology consultation at 32 weeks gestation. Initial coagulation studies were significant for an elevated INR (2.0) and a low factor VII level of 6%. After interdisciplinary discussion, it was decided that neuraxial analgesia could be offered if her coagulation studies corrected after administration of recombinant activated factor VII (rFVIIa). The patient presented at 36 weeks gestation for a rFVIIa challenge. She received 22 mcg/kg rFVIIa and coagulation studies were analyzed 20 minutes later which showed complete correction of the coagulopathy. The patient presented to the hospital at 39 weeks and 3 days for delivery, received 2 mg rFVIIa and 20 minutes later, successfully received an epidural catheter. Her INR was monitored every 3 hours during her labor course and rFVIIa was given if the INR was 1.3 or greater. She required three additional doses over 22 hours. No bleeding or thrombotic events occurred, and the patient was discharged home without complications.ConclusionThis case highlights the safe management of an epidural catheter in a parturient with severe factor VII deficiency.
Table S7 from Paradoxical Activation of Oncogenic Signaling as a Cancer Treatment Strategy
Authors: Dias Matheus Henrique , Friskes Anoek , Wang Siying , Fernandes Neto Joao M. , van Gemert Frank , Mourragui Soufiane , Papagianni Chrysa , Kuiken Hendrik J. , Mainardi Sara , Alvarez-Villanueva Daniel , Lieftink Cor , Morris Ben , Dekker Anna , van Dijk Emma , Wilms Lieke H.S. , da Silva Marcelo S. , Jansen Robin A. , Mulero-Sánchez Antonio , Malzer Elke , Vidal August , Santos Cristina , Salazar Ramón , Wailemann Rosangela A.M. , Torres Thompson E.P. , De Conti Giulia , Raaijmakers Jonne A. , Snaebjornsson Petur , Yuan Shengxian , Qin Wenxin , Kovach John S. , Armelin Hugo A. , te Riele Hein , van Oudenaarden Alexander , Jin Haojie , Beijersbergen Roderick L. , Villanueva Alberto , Medema Rene H. , Bernards Rene 
Published: July 2024

<p>Supplementary table 7: Full list of genes whose knockout was selectively toxic in the presence of LB-100 in SW-480 cells in the CRISPR-KO screen FDR smaller or equal to 0.25 and log2 fold change smaller or equal to -1 in treated/untreated comparison were criteria for hit selection.</p>
The Local Government Budget Resilience: Anticipatory, Coping, and Vulnerability Indexes
Authors: Indriani Ika Kurnia , Agus Widodo  , Anik Cahyowati  
Published: July 2024

The primary determinant for managing the financial distribution consequences of the COVID-19 pandemic is the resilience of the local budget. Having a substantial budget will facilitate the implementation of strategic programmes by the municipal administration during the COVID-19 epidemic, while also ensuring the maintenance of regional economic growth. The budget capability evaluation attempts to evaluate the proficiency of municipal governments in Indonesia in managing the APBD. The evaluation of budget resilience employs a descriptive quantitative methodology that encompasses three dimensions: anticipatory capacity, coping capacities, and vulnerability. The evaluation employed secondary data through the process of archive analysis. The assessment results indicated that the municipalities of Mataram, Tidore, Batam, and Sabang achieved the highest budget resilience index. The government with the highest ranking possesses the capacity to effectively manage unanticipated issues such as the COVID-19 pandemic. However, the municipalities of Bengkulu, Bontang, and Tegal showed the lowest budget capacity index. The local government with the lowest index must enhance the management system of APBD to optimise its response to the economic consequences afterwards the COVID-19 pandemic.
Dynamic network analysis of electrophysiological task data
Authors: Gohil Chetan , Kohl Oliver , Huang Rukuang , van Es Mats W.J. , Parker Jones Oiwi , Hunt Laurence T. , Quinn Andrew J. , Woolrich Mark W. 
Published: July 2024

Abstract
An important approach for studying the human brain is to use functional neuroimaging combined with a task. In electrophysiological data, this often involves a time-frequency analysis, in which recorded brain activity is time-frequency transformed and epoched around task events of interest, followed by trial-averaging of the power. While this simple approach can reveal fast oscillatory dynamics, the brain regions are analysed one at a time. This causes difficulties for interpretation and a debilitating number of multiple comparisons. In addition, it is now recognised that the brain responds to tasks through the coordinated activity of networks of brain areas. As such, techniques that take a whole-brain network perspective are needed. Here, we show how the oscillatory task responses from conventional time-frequency approaches can be represented more parsimoniously at the network level using two state-of-the-art methods: the HMM (Hidden Markov Model) and DyNeMo (Dynamic Network Modes). Both methods reveal frequency-resolved networks of oscillatory activity with millisecond resolution. Comparing DyNeMo, HMM, and traditional oscillatory response analysis, we show DyNeMo can identify task activations/deactivations that the other approaches fail to detect. DyNeMo offers a powerful new method for analysing task data from the perspective of dynamic brain networks.