bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermodynamic and kinetic controls on phase stability and incorporation of water in larnite (β-Ca2SiO4): implications for calcium silicate inclusions in diamonds
Authors: Gregson Chris , Brooker Richard A. , Kohn Simon C. , Lord Oliver T. 
Published: August 2024

AbstractLarnite (β-Ca2SiO4) has previously been reported as an inclusion in sub-lithospheric diamonds and is generally interpreted as a retrograde reaction product of calcium silicate perovskite. In this study, we review the controls on the stability of the Ca2SiO4 polymorphs and show that phosphorus is likely essential for the preservation of β-Ca2SiO4. We also report a detailed study of the solubility of water and its incorporation mechanisms in γ-Ca2SiO4 and phosphorus-doped β-Ca2SiO4 using FTIR spectroscopy on high-pressure experiments quenched from 4–9.5 GPa and 1000–1200 °C combined with ab initio calculations. The experimentally determined water solubilities are in the range of 107–178 ppm. Our FTIR spectra and ab initio calculations indicate that for phosphorus-free γ-Ca2SiO4 the incorporation mechanism involves protonated Si and Ca1 vacancies. For phosphorus-bearing β-Ca2SiO4, our preferred incorporation mechanism involves one Si4+ ion replaced by one P5+ ion with a single protonated Ca2 vacancy. The low water solubility observed here for larnite implies that if primary calcium silicate perovskite inclusions trap high water concentrations during diamond growth from a volatile-rich fluid, measurements of the concentration of water in larnite will not provide a useful record of the initial volatile concentration. Instead, water would be hosted in other retrograde reaction products, possibly including exsolved fluids.
Absence of claudin-3 does not alter intestinal absorption of phosphate in mice
Authors: Radványi Zsuzsa , Schnitzbauer Udo , Pastor-Arroyo Eva Maria , Hölker Simone , Himmerkus Nina , Bleich Markus , Müller Dominik , Breiderhoff Tilman , Hernando Nati , Wagner Carsten A. 
Published: August 2024

AbstractIntestinal absorption of phosphate is bimodal, consisting of a transcellular pathway and a poorly characterized paracellular mode, even though the latter one contributes to the bulk of absorption under normal dietary conditions. Claudin-3 (Cldn3), a tight junction protein present along the whole intestine in mice, has been proposed to tighten the paracellular pathway for phosphate. The aim of this work was to characterize the phosphate-related phenotype of Cldn3-deficient mice. Cldn3-deficient mice and wildtype littermates were fed standard diet or challenged for 3 days with high dietary phosphate. Feces, urine, blood, intestinal segments and kidneys were collected. Measurements included fecal, urinary, and plasma concentrations of phosphate and calcium, plasma levels of phosphate-regulating hormones, evaluation of trans- and paracellular phosphate transport across jejunum and ileum, and analysis of intestinal phosphate and calcium permeabilities. Fecal and urinary excretion of phosphate as well as its plasma concentration was similar in both genotypes, under standard and high-phosphate diet. However, Cldn3-deficient mice challenged with high dietary phosphate had a reduced urinary calcium excretion and increased plasma levels of calcitriol. Intact FGF23 concentration was also similar in both groups, regardless of the dietary conditions. We found no differences either in intestinal phosphate transport (trans- or paracellular) and phosphate and calcium permeabilities between genotypes. The intestinal expression of claudin-7 remained unaltered in Cldn3-deficient mice. Our data do not provide evidence for a decisive role of Cldn3 for intestinal phosphate absorption and phosphate homeostasis. In addition, our data suggest a novel role of Cldn3 in regulating calcitriol levels.
Mucositis-associated bloodstream infections in adult haematology patients with fever during neutropenia: risk factors and the impact of mucositis severity
Authors: de Jonge Nick A. , Janssen Jeroen J. W. M. , Ypma Paula , Herbers Alexandra H. E. , de Kreuk Arne , Vasmel Wies , van den Ouweland Jody M. W. , Beeker Aart , Visser Otto , Zweegman Sonja , Blijlevens Nicole M. A. , van Agtmael Michiel A. , Sikkens Jonne J. 
Published: August 2024

Abstract
Purpose
Haematology patients with high-risk neutropenia are prone to mucosal-barrier injury-associated laboratory-confirmed bloodstream infections (MBI-LCBI). We assessed risk factors for MBI-LCBI including candidaemia in neutropenic haematology patients with fever.

Methods
This prospective observational study was performed in six dedicated haematology units in the Netherlands. Eligible haematology patients had neutropenia < 500/mL for ≥ 7 days and had fever. MBI-LCBIs were classified according to Centers for Disease Control (CDC) definitions and were followed until the end of neutropenia > 500/mL or discharge.

Results
We included 416 patients from December 2014 until August 2019. We observed 63 MBI-LCBIs. Neither clinical mucositis scores nor the blood level of citrulline at fever onset was associated with MBI-LCBI. In the multivariable analysis, MASCC-score (odds ratio [OR] 1.16, 95% confidence interval [CI] 1.05 to 1.29 per point decrease), intensive chemotherapy (OR 3·81, 95% CI 2.10 to 6.90) and Pichia kudriavzevii (formerly Candida krusei) colonisation (OR 5.40, 95% CI 1.75 to 16.7) were retained as risk factors for MBI-LCBI, while quinolone use seemed protective (OR 0.42, 95% CI 0.20 to 0.92). Citrulline level (OR 1.57, 95% CI 1.07 to 2.31 per µmol/L decrease), active chronic obstructive pulmonary disease (OR 15.4, 95% CI 1.61 to 14.7) and colonisation with fluconazole-resistant Candida (OR 8.54, 95% CI 1.51 to 48.4) were associated with candidaemia.

Conclusion
In haematology patients with fever during neutropenia, hypocitrullinaemia at fever onset was associated with candidaemia, but not with bacterial MBI-LCBI. Patients with intensive chemotherapy with a low MASCC-score and colonisation with Pichia kudriavzevii had the highest risk of MBI-LCBI.

Trial registration
ClinicalTrials.gov (NCT02149329) at 19-NOV-2014.
Resnet50 and logistic Gaussian map-based zero-watermarking algorithm for medical color images
Authors: Farhat Amal A. , Darwish Mohamed M. , El-Gindy T. M. 
Published: August 2024

AbstractMedical image copyright protection is becoming increasingly relevant as medical images are used more frequently in medical networks and institutions. The traditional embedded watermarking system is inappropriate for medical images since it degrades the original images’ quality. Furthermore, medical-colored image watermarking options are constrained since most medical watermarking systems are built for gray-scale images. This paper proposes a zero-watermarking scheme for medical color image copyright protection based on a chaotic system and Resnet50, which is a convolutional neural network method. The network Resnet50 is used to extract features from the color medical image, and then a logistic Gaussian map is used to scramble these features and scramble the binary image. Finally, an exclusive OR operation is performed (scrambled binary image, scrambled features for the medical color image) to form a zero watermarking. The experimental result proves that our scheme is effective and robust to geometric and common image processing attacks. The BER values of the extracted watermarks are below 0.0039, and the NCC values are above 0.9942, while the average PSNR values of the attacked images are 29.0056 dB. Also, it is superior to other zero-watermark schemes for medical images in terms of robustness to conventional image processing and geometric attacks. Furthermore, the experimental results show that the Resnet50 model outperforms other models in terms of reducing the mean squared errors of the features between the attacked and original image.
Post-surgical photobiomodulation therapy improves outcomes following elective gastropexy in dogs
Authors: Alves J. C. , Filipe Ana , Santos Ana 
Published: August 2024

Abstract

Purpose
To evaluate the effect of post-surgical photobiomodulation therapy in dogs.

Methods
Twenty dogs were selected for elective gastropexy and randomly divided into a control (CG, n = 10) and a PBMT group (PBMTG, n = 10). Pre‑medication consisted of medetomidine and butorphanol. Meloxicam was administered before the procedure. Induction was performed with propofol and maintained with sevoflurane. Local blocks with lidocaine were used. Incisional gastropexy was performed in all animals. PBMTG received PBMT immediately after surgery. The need for postoperative rescue analgesia, if the animal had eaten by the evaluation momen, and pain scores were collected using the Glasgow Composite Measure Pain Scale – Short Form (CMPS‑SF) at 1, 2, 4, 6, 8, 12, 16, 20, and 24 h post‑endotracheal extubation. CMPS‑SF scores were compared with the Mann-Whitney Test and proportions of animals that required rescue analgesia and had eaten with a χ2 test. P was set at < 0.05.

Results
No rescue analgesia was needed for any animal. Still, significant differences were observed in CMPS-SF scores between CG and PBMTG between 1 and 4 h post-extubation. PBMTG had a significantly higher proportion of animals eating up to the 8 h post-extubation evaluation moment.

Conclusion
Adding post-surgical photobiomodulation to a standard anesthesia and analgesia protocol reduced CMPS-SF scores and increased the proportion of animals that resumed eating compared to the standard protocol alone.
On the correlation gap of matroids
Authors: Husić Edin , Koh Zhuan Khye , Loho Georg , Végh László A. 
Published: August 2024

Abstract
A set function can be extended to the unit cube in various ways; the correlation gap measures the ratio between two natural extensions. This quantity has been identified as the performance guarantee in a range of approximation algorithms and mechanism design settings. It is known that the correlation gap of a monotone submodular function is at least

$$1-1/e$$

1
-
1
/
e

, and this is tight for simple matroid rank functions. We initiate a fine-grained study of the correlation gap of matroid rank functions. In particular, we present an improved lower bound on the correlation gap as parametrized by the rank and girth of the matroid. We also show that for any matroid, the correlation gap of its weighted rank function is minimized under uniform weights. Such improved lower bounds have direct applications for submodular maximization under matroid constraints, mechanism design, and contention resolution schemes.
Nonsmooth convex–concave saddle point problems with cardinality penalties
Authors: Bian Wei , Chen Xiaojun 
Published: August 2024

AbstractIn this paper, we focus on a class of convexly constrained nonsmooth convex–concave saddle point problems with cardinality penalties. Although such nonsmooth nonconvex–nonconcave and discontinuous min–max problems may not have a saddle point, we show that they have a local saddle point and a global minimax point, and some local saddle points have the lower bound properties. We define a class of strong local saddle points based on the lower bound properties for stability of variable selection. Moreover, we give a framework to construct continuous relaxations of the discontinuous min–max problems based on convolution, such that they have the same saddle points with the original problem. We also establish the relations between the continuous relaxation problems and the original problems regarding local saddle points, global minimax points, local minimax points and stationary points. Finally, we illustrate our results with distributionally robust sparse convex regression, sparse robust bond portfolio construction and sparse convex–concave logistic regression saddle point problems.
gdcov2sinex: a Python conversion tool from GipsyX’s gdcov file to SINEX file
Authors: García-Armenteros Juan A. 
Published: August 2024

Abstract
The Solution INdependent EXchange (SINEX) file format, an international standard for the exchange of information, is essential in the Global Navigation Satellite System (GNSS) processing strategies that integrate different software applications. GNSS data processing using Jet Propulsion Laboratory’s (JPL) GipsyX software, which employs the Precise Point Positioning (PPP) technique, generates positions and covariance matrices in gdcov files, a GipsyX file format specific for storing this information. GipsyX software provides a tool, named mkDailySinex.py, to convert from gdcov file to SINEX file, but it is designed specifically for creating daily JPL SINEX files and does not function properly for non-JPL GipsyX users. I have developed a Python 3 program, named gdcov2sinex.py, which solves this problem, enabling any user to perform the SINEX conversion and, therefore, apply the processing strategies that integrate GipsyX with other software, such as GAMIT/GLOBK. The new python tool presented herein takes advantage of the capabilities of mkDailySinex.py and provides all its default options, but also expands the number of selectable options, which can be useful to the user. The source code, user manual, and a sample dataset of gdcov2sinex.py are provided as electronic supplementary material of this paper.
Balanced truncation for quadratic-bilinear control systems
Authors: Benner Peter , Goyal Pawan 
Published: August 2024

AbstractWe discuss model order reduction (MOR) for large-scale quadratic-bilinear (QB) systems based on balanced truncation. The method for linear systems mainly involves the computation of the Gramians of the system, namely reachability and observability Gramians. These Gramians are extended to a general nonlinear setting in Scherpen (Systems Control Lett. 21, 143-153 1993). These formulations of Gramians are not only challenging to compute for large-scale systems but hard to utilize also in the MOR framework. This work proposes algebraic Gramians for QB systems based on the underlying Volterra series representation of QB systems and their Hilbert adjoint systems. We then show their relation to a certain type of generalized quadratic Lyapunov equation. Furthermore, we quantify the reachability and observability subspaces based on the proposed Gramians. Consequently, we propose a balancing algorithm, allowing us to find those states that are simultaneously hard to reach and hard to observe. Truncating such states yields reduced-order systems. We also study sufficient conditions for the existence of Gramians, and a local stability of reduced-order models obtained using the proposed balanced truncation scheme. Finally, we demonstrate the proposed balancing-type MOR for QB systems using various numerical examples.
Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review
Authors: Bathula Archana , Gupta Suneet K. , Merugu Suresh , Saba Luca , Khanna Narendra N. , Laird John R. , Sanagala Skandha S. , Singh Rajesh , Garg Deepak , Fouda Mostafa M. , Suri Jasjit S. 
Published: August 2024

AbstractThe fusion of blockchain and artificial intelligence (AI) marks a paradigm shift in healthcare, addressing critical challenges in securing electronic health records (EHRs), ensuring data privacy, and facilitating secure data transmission. This study provides a comprehensive analysis of the adoption of blockchain and AI within healthcare, spotlighting their role in fortifying security and transparency leading the trajectory for a promising future in the realm of healthcare. Our study, employing the PRISMA model, scrutinized 402 relevant articles, employing a narrative analysis to explore the fusion of blockchain and AI in healthcare. The review includes the architecture of AI and blockchain, examines AI applications with and without blockchain integration, and elucidates the interdependency between AI and blockchain. The major findings include: (i) it protects data transfer, and digital records, and provides security; (ii) enhances EHR security and COVID-19 data transmission, thereby bolstering healthcare efficiency and reliability through precise assessment metrics; (iii) addresses challenges like data security, privacy, and decentralized computing, forming a robust tripod. The fusion of blockchain and AI revolutionize healthcare by securing EHRs, and enhancing privacy, and security. Private blockchain adoption reflects the sector’s commitment to data security, leading to improved efficiency and accessibility. This convergence promises enhanced disease identification, response, and overall healthcare efficacy, and addresses key sector challenges. Further exploration of advanced AI features integrated with blockchain promises to enhance outcomes, shaping the future of global healthcare delivery with guaranteed data security, privacy, and innovation.
Subsidy free-riding is positively correlated to the development of energy efficiency in the housing stock
Authors: Neef Nicolas E. , Egner Lars E. , Klöckner Christian A. 
Published: August 2024

AbstractIncentivizing energy-efficient retrofits in residential sectors often involves subsidies, which are aimed at lowering a building’s environmental impact. However, the effectiveness of these subsidies has been debated, particularly concerning an unintended consequence known as free-riding. Free-riders are investors who would have made energy-efficient retrofits even without the subsidy. Typically, a high prevalence of free-riding is perceived negatively from an economic perspective in terms of the impact and efficiency of a policy. However, apart from economic efficiency, it is unclear what the relation between free-riding and the progression of the buildings’ energy standards is. We employed an agent-based model to mimic a neighborhood and discovered an intriguing pattern: Areas with more free-riders actually showed advanced energy standards in their building infrastructure now and 7 years into the future. These insights enhance our comprehension of free-riding and can help policymakers take this relation into account when designing subsidy schemes.
Dynamic Capabilities for the Twin Transformation Climb: A Capability Maturity Model
Authors: Breiter Katharina , Crome Carlotta , Oberländer Anna Maria , Schnaak Feline 
Published: August 2024

Abstract
Digital transformation and sustainability transformation are at the top of organizations’ agendas to remain competitive. While guidance on both transformations exists separately, even more research on integrating digital and sustainability transformation, namely twin transformation, is required. Specifically, deeper knowledge about relevant twin transformation capabilities and progress is needed for effective implementation. To enhance the understanding and provide corresponding guidance, we developed a twin transformation capability maturity model focusing on dynamic capabilities required to realize twin transformation based on a structured literature review and interviews with 13 experts. Further, we demonstrated its use with a technology service provider. Our contribution is twofold: First, accounting for organizations’ twin transformation starting points in terms of their digitalization and sustainability experience and expertise, we reveal three pathways to becoming a twin transformer. Second, our work provides an overview of 45 relevant twin transformation capabilities structured along six capability dimensions and four maturity stages. Our work also provides relevant practical implications supporting organizations in assessing their twin transformation maturity building the foundation for targeted capability development.
Enhancing E-learning effectiveness: a process mining approach for short-term tutorials
Authors: Nai Roberto , Sulis Emilio , Genga Laura 
Published: August 2024

Abstract
The rise of e-learning systems has revolutionized education, enabling the collection of valuable students’ activity data for continuous improvement. While existing studies have predominantly focused on prolonged learning paths, short-term tutorials offer a flexible and efficient alternative that is recently gaining increasing popularity. This article presents a methodology for investigating e-learning systems for short-term tutorials leveraging user behavior tracking and process mining techniques. A case study involving a web-based tutorial with approximately one hour of learning explores the learning processes of 250 students in Italy. The study analyzes learning outcomes and investigates the impact of different learning paths on student progress. The research questions concern i) the extraction of activity flows in short-term tutorials; ii) the prediction of outcomes in the early stages of short-term learning process. The proposed approach provides descriptive insights into the learning process which can also be used to offer prescriptive guidance.
A Comprehensive Review of Recent Developments in VANET for Traffic, Safety & Remote Monitoring Applications
Authors: Dutta Arijit , Samaniego Campoverde Luis Miguel , Tropea Mauro , De Rango Floriano 
Published: August 2024

AbstractStrategic integration of Wireless Sensor Networks (WSNs) and IoT (Internet of Things) into VANET infrastructure is crucial for ensuring vehicular safety, mobility management, and vehicular applications. The integration collects information on traffic and road conditions without relying on traditional internet connectivity. It also addresses applications such as early warnings in areas with limited coverage, safety and health emergency messages in highly congested zones, and air monitoring without depending on traditional TCP/IP internet connectivity. This article provides a comprehensive view of network technologies, data acquisition devices, clustering techniques, and energy-efficient routing protocols to optimize Vehicle-to-Everything (V2X) communications in VANETs. This study also addresses how to leverage the frequency channels of the 802.11p protocol and expands the possibilities for developing numerous applications dedicated to remote ambient, traffic and safety monitoring without compromising network performance. Moreover, the recent developments of clustering algorithms and energy-efficient schemes for these VANET applications are analyzed from a novel perspective.
Disentangling associations of human wellbeing with green infrastructure, degree of urbanity, and social factors around an Asian megacity
Authors: Thapa Pramila , Torralba Mario , Nölke Nils , Chowdhury Koushik , Nagendra Harini , Plieninger Tobias 
Published: August 2024

Abstract
Context
Often called a ‘Garden city’, Bengaluru is renowned for its green infrastructure. However, the association of human wellbeing with the amount of tree cover (as an example of green infrastructure), degree of urbanization, and local people's socio-demographics has not been explored.

Objective
We investigated how human wellbeing is related to the amount of tree cover at household and neighborhood levels, the degree of urbanity, and underlying social factors among respondents.

Methods
The study was conducted in 61 towns along the rural–urban gradient of Bengaluru, surveying 836 respondents in total. Data on multiple dimensions of respondents’ wellbeing was collected between December 2016 and May 2017. The percentage of tree cover at the household and neighborhood levels was obtained based on WorldView-3 images. Logistic regression models were applied to assess correlations between human wellbeing and tree cover. Kruskal–Wallis tests, Mann–Whitney tests, and cross tabulation with chi-square tests were conducted to investigate relations of human wellbeing with the degree of urbanity, and with social factors.

Results
We found that several variables of human wellbeing were positively associated with tree cover. Measures of wellbeing also differed along the rural–urban gradient and among social groups.

Conclusions
Though urbanization is often considered to promote material wellbeing, non-material aspects (e.g., community activities and social relationships) are also important components of overall human wellbeing in urbanizing landscapes. Holistic interactions among natural, spatial, and social factors should be considered while designing interventions for equitable urban landscapes that promote human wellbeing and ecological restoration.