bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dose-dependent effect of lamotrigine on quetiapine serum concentration in patients using instant release tablets
Authors: Hole Kristine , Lorentsen Silje K , Nordby Karoline L , Slettvik Marie , Sørum Ida TG , Molden Espen , Haslemo Tore 
Published: February 2024

Abstract
Purpose
Lamotrigine was previously reported to reduce serum concentration of quetiapine. The aim of this study was to investigate whether lamotrigine dose or quetiapine formulation was of importance for the drug interaction.

Methods
Patients combining lamotrigine with quetiapine (cases) were included retrospectively from a routine therapeutic drug monitoring (TDM) service, as were a control group of patients using quetiapine without any interacting drugs. The case and control groups were divided into groups using immediate release (IR) and extended release (XR) quetiapine. The case group was further split into high-dose (> 200 mg/day) and low-dose (≤ 200 mg/day) lamotrigine users. Quetiapine concentration-to-dose (C/D) ratio and metabolite-to-parent ratio (MPR) were compared between the control group and dose-separated case groups using ANOVA test and t-tests.

Results
In total, 406 patients were included. The mean C/D ratio of IR quetiapine was 46% lower in the high-dose lamotrigine group compared with the control group (P < 0.001), while no interaction effect was present in the low dose lamotrigine group (P = 0.7). Regardless of lamotrigine dose, there was no difference in quetiapine C/D ratio for patients using the XR formulation (P = 0.4). The quetiapine MPR was unaffected regardless of formulation and lamotrigine dose (P ≥ 0.06).

Conclusion
The effect of lamotrigine in reducing quetiapine concentration is only significant for patients using quetiapine IR tablets who are treated with lamotrigine doses > 200 mg/day. Because of high variability in the interaction effect, TDM of quetiapine should be recommended during co-prescription of high-dose lamotrigine.
Dissipativity in Infinite Horizon Optimal Control and Dynamic Programming
Authors: Angeli David , Grüne Lars 
Published: February 2024

AbstractIn this paper we extend dynamic programming techniques to the study of discrete-time infinite horizon optimal control problems on compact control invariant sets with state-independent best asymptotic average cost. To this end we analyse the interplay of dissipativity and optimal control, and propose novel recursive approaches for the solution of so called shifted Bellman Equations.
Construction of viral-based expression vectors for high-level production of human interferon alpha 2b in plants
Authors: Sindarovska Yana , Kuchuk Mykola 
Published: February 2024

Abstract
Human interferon (hINF) alpha 2b is clinically important pharmaceutical product included in combinatory therapy against chronic hepatitis C and B and complex therapy against several cancer diseases. Here, we created the genetic constructions, based on genome elements of potato virus X (PVX), carrying the infα2b gene for transient expression in plant cells. The created plasmid vector constructions were tested through Agrobacterium-mediated transient gene expression method in two plant species—Nicotiana benthamiana and Ocimum basilicum (sweet basil). Production of recombinant hINF alpha 2b was more efficient in N. benthamiana than that in O. basilicum plants. The average yield of hINF alpha 2b produced in N. benthamiana plants was 0.56 mg/g of fresh leaf weight (FW) or 6% of the total soluble cell proteins (TSP). The maximal level reached up to 1.2 mg/g FW or 9% TSP. We estimated that about 0.67 mg of hINF can be obtained from one N. benthamiana plant. The yield of hINF alpha 2b obtained with the PVX-based expression cassette was about 80 times higher than the yield of hINF alpha 2b obtained with a simple expression cassette in which the infα2b gene was controlled by the 35S promoter of cauliflower mosaic virus.

Key points
• PVX-based expression vectors provide efficient transient expression of infα2b gene
• N. benthamiana plants can produce human interferon alpha 2b at high levels
• The yield of the hINF α2b reached up to 1.2 mg/g of fresh leaf weight
A new and promiscuous α/β hydrolase from Acinetobacter tandoii DSM 14970 T inactivates the mycotoxin ochratoxin A
Authors: Sánchez-Arroyo Ana , Plaza-Vinuesa Laura , Abeijón-Mukdsi María Claudia , de las Rivas Blanca , Mancheño José Miguel , Muñoz Rosario 
Published: February 2024

Abstract
The presence of ochratoxin A (OTA) in food and feed represents a serious concern since it raises severe health implications. Bacterial strains of the Acinetobacter genus hydrolyse the amide bond of OTA yielding non-toxic OTα and L-β-phenylalanine; in particular, the carboxypeptidase PJ15_1540 from Acinetobacter sp. neg1 has been identified as an OTA-degrading enzyme. Here, we describe the ability to transform OTA of cell-free protein extracts from Acinetobacter tandoii DSM 14970 T, a strain isolated from sludge plants, and also report on the finding of a new and promiscuous α/β hydrolase (ABH), with close homologs highly distributed within the Acinetobacter genus. ABH from A. tandoii (AtABH) exhibited amidase activity against OTA and OTB mycotoxins, as well as against several carboxypeptidase substrates. The predicted structure of AtABH reveals an α/β hydrolase core composed of a parallel, six-stranded β-sheet, with a large cap domain similar to the marine esterase EprEst. Further biochemical analyses of AtABH reveal that it is an efficient esterase with a similar specificity profile as EprEst. Molecular docking studies rendered a consistent OTA-binding mode. We proposed a potential procedure for preparing new OTA-degrading enzymes starting from promiscuous α/β hydrolases based on our results.

Key points
• AtABH is a promiscuous αβ hydrolase with both esterase and amidohydrolase activities
• AtABH hydrolyses the amide bond of ochratoxin A rendering nontoxic OTα
• Promiscuous αβ hydrolases are a possible source of new OTA-degrading enzymes
EANM practice guidelines for an appropriate use of PET and SPECT for patients with epilepsy
Authors: Traub-Weidinger Tatjana , Arbizu Javier , Barthel Henryk , Boellaard Ronald , Borgwardt Lise , Brendel Matthias , Cecchin Diego , Chassoux Francine , Fraioli Francesco , Garibotto Valentina , Guedj Eric , Hammers Alexander , Law Ian , Morbelli Silvia , Tolboom Nelleke , Van Weehaeghe Donatienne , Verger Antoine , Van Paesschen Wim , von Oertzen Tim J. , Zucchetta Pietro , Semah Franck 
Published: February 2024

AbstractEpilepsy is one of the most frequent neurological conditions with an estimated prevalence of more than 50 million people worldwide and an annual incidence of two million. Although pharmacotherapy with anti-seizure medication (ASM) is the treatment of choice, ~30% of patients with epilepsy do not respond to ASM and become drug resistant. Focal epilepsy is the most frequent form of epilepsy. In patients with drug-resistant focal epilepsy, epilepsy surgery is a treatment option depending on the localisation of the seizure focus for seizure relief or seizure freedom with consecutive improvement in quality of life. Beside examinations such as scalp video/electroencephalography (EEG) telemetry, structural, and functional magnetic resonance imaging (MRI), which are primary standard tools for the diagnostic work-up and therapy management of epilepsy patients, molecular neuroimaging using different radiopharmaceuticals with single-photon emission computed tomography (SPECT) and positron emission tomography (PET) influences and impacts on therapy decisions. To date, there are no literature-based praxis recommendations for the use of Nuclear Medicine (NM) imaging procedures in epilepsy. The aims of these guidelines are to assist in understanding the role and challenges of radiotracer imaging for epilepsy; to provide practical information for performing different molecular imaging procedures for epilepsy; and to provide an algorithm for selecting the most appropriate imaging procedures in specific clinical situations based on current literature. These guidelines are written and authorized by the European Association of Nuclear Medicine (EANM) to promote optimal epilepsy imaging, especially in the presurgical setting in children, adolescents, and adults with focal epilepsy. They will assist NM healthcare professionals and also specialists such as Neurologists, Neurophysiologists, Neurosurgeons, Psychiatrists, Psychologists, and others involved in epilepsy management in the detection and interpretation of epileptic seizure onset zone (SOZ) for further treatment decision. The information provided should be applied according to local laws and regulations as well as the availability of various radiopharmaceuticals and imaging modalities.
Utilizing fully-automated 3D organ segmentation for hepatic steatosis assessment with CT attenuation-based parameters
Authors: Yoo Jeongin , Joo Ijin , Jeon Sun Kyung , Park Junghoan , Yoon Soon Ho 
Published: February 2024

Abstract
Objectives
To investigate the clinical utility of fully-automated 3D organ segmentation in assessing hepatic steatosis on pre-contrast and post-contrast CT images using magnetic resonance spectroscopy (MRS)-proton density fat fraction (PDFF) as reference standard.

Materials and methods
This retrospective study analyzed 362 adult potential living liver donors with abdominal CT scans and MRS-PDFF. Using a deep learning-based tool, mean volumetric CT attenuation of the liver and spleen were measured on pre-contrast (liver(L)_pre and spleen(S)_pre) and post-contrast (L_post and S_post) images. Agreements between volumetric and manual region-of-interest (ROI)-based measurements were assessed using the intraclass correlation coefficient (ICC) and Bland–Altman analysis. Diagnostic performances of volumetric parameters (L_pre, liver-minus-spleen (L-S)_pre, L_post, and L-S_post) were evaluated for detecting MRS-PDFF ≥ 5% and ≥ 10% using receiver operating characteristic (ROC) curve analysis and compared with those of ROI-based parameters.

Results
Among the 362 subjects, 105 and 35 had hepatic steatosis with MRS-PDFF ≥ 5% and ≥ 10%, respectively. Volumetric and ROI-based measurements revealed ICCs of 0.974, 0.825, 0.992, and 0.962, with mean differences of −4.2 HU, −3.4 HU, −1.2 HU, and −7.7 HU for L_pre, S_pre, L_post, and S_post, respectively. Volumetric L_pre, L-S_pre, L_post, and L-S_post yielded areas under the ROC curve of 0.813, 0.813, 0.734, and 0.817 for MRS-PDFF ≥ 5%; and 0.901, 0.915, 0.818, and 0.868 for MRS-PDFF ≥ 10%, comparable with those of ROI-based parameters (0.735–0.818; and 0.816–0.895, Ps = 0.228–0.911).

Conclusion
Automated 3D segmentation of the liver and spleen in CT scans can provide volumetric CT attenuation-based parameters to detect and grade hepatic steatosis, applicable to pre-contrast and post-contrast images.

Clinical relevance statement
Volumetric CT attenuation-based parameters of the liver and spleen, obtained through automated segmentation tools from pre-contrast or post-contrast CT scans, can efficiently detect and grade hepatic steatosis, making them applicable for large population data collection.

Key Points
• Automated organ segmentation enables the extraction of CT attenuation-based parameters for the target organ.
• Volumetric liver and spleen CT attenuation-based parameters are highly accurate in hepatic steatosis assessment.
• Automated CT measurements from pre- or post-contrast imaging show promise for hepatic steatosis screening in large cohorts.

Graphical abstract
One-year clinical outcomes of MR-guided stereotactic body radiation therapy with rectal spacer for patients with localized prostate cancer
Authors: Poon Darren M. C. , Yuan Jing , Wong Oi Lei , Yang Bin , Tse Mei Yan , Lau Ka Ki , Chiu Sin Ting , Chiu Peter Ka-Fung , Ng Chi Fai , Chui Ka Lun , Kwong Yiu Ming , Ma Wai Kit , Cheung Kin Yin , Chiu George , Yu Siu Ki 
Published: February 2024

Abstract
Background and purpose
This prospective study aimed to investigate adaptive magnetic resonance (MR)-guided stereotactic body radiation therapy (MRgSBRT) with rectal spacer for localized prostate cancer (PC) and report 1-year clinical outcomes.

Materials and methods
Thirty-four consecutive patients with low- to high-risk localized PC that underwent 5-fraction adaptive MRgSBRT with rectal spacer were enrolled. The dosimetric comparison was performed on a risk- and age-matched cohort treated with MRgSBRT but without a spacer at a similar timepoint. Clinician-reported outcomes were based on Common Terminology Criteria for Adverse Events. Patient-reported outcomes were based on the Expanded Prostate Cancer Index Composite (EPIC) questionnaire at baseline, acute (1–3 months), subacute (4–12 months), and late (> 12 months) phases.

Results
The median follow-up was 390 days (range 28–823) and the median age was 70 years (range 58–82). One patient experienced rectal bleeding soon after spacer insertion that subsided before MRgSBRT. The median distance between the midline of the prostate midgland and the rectum after spacer insertion measured 7.8 mm (range 2.6–15.3), and the median length of the spacer was 45.9 mm (range 16.8–62.9) based on T2-weighted MR imaging. The use of spacer resulted in significant improvements in target coverage (V100% > 95% = 98.6% [range 93.4–99.8] for spacer vs. 97.8% [range 69.6–99.7] for non-spacer) and rectal sparing (V95% < 3 cc = 0.7 cc [range 0–4.6] for spacer vs. 4.9 cc [range 0–12.5] for non-spacer). Nine patients (26.5%) experienced grade 1 gastrointestinal toxicities, and no grade ≥ 2 toxicities were observed. During the 1-year follow-up period, EPIC scores for the bowel domain remained stable and were the highest among all other domains.

Conclusions
MRgSBRT with rectal spacer for localized PC showed exceptional tolerability with minimal gastrointestinal toxicities and satisfactory patient-reported outcomes. Improvements in dosimetry, rectal sparing, and target coverage were achieved with a rectal spacer. Randomized trials are warranted for further validation.
WaveNets: physics-informed neural networks for full-field recovery of rotational flow beneath large-amplitude periodic water waves
Authors: Chen Lin , Li Ben , Luo Chenyi , Lei Xiaoming 
Published: February 2024

AbstractWe formulate physics-informed neural networks (PINNs) for full-field reconstruction of rotational flow beneath nonlinear periodic water waves using a small amount of measurement data, coined WaveNets. The WaveNets have two NNs to, respectively, predict the water surface, and velocity/pressure fields. The Euler equation and other prior knowledge of the wave problem are included in WaveNets loss function. We also propose a novel method to dynamically update the sampling points in residual evaluation as the free surface is gradually formed during model training. High-fidelity data sets are obtained using the numerical continuation method which is able to solve nonlinear waves close to the largest height. Model training and validation results in cases of both one-layer and two-layer rotational flows show that WaveNets can reconstruct wave surface and flow field with few data either on the surface or in the flow. Accuracy in vorticity estimate can be improved by adding a redundant physical constraint according to the prior information on the vorticity distribution.
Use of Vitex agnus-castus in patients with menstrual cycle disorders: a single-center retrospective longitudinal cohort study
Authors: Höller Martina , Steindl Hubert , Abramov-Sommariva Dimitri , Kleemann Julia , Loleit Alexey , Abels Christoph , Stute Petra 
Published: February 2024

Abstract
Purpose
To evaluate clinical characteristics, quality of life (QoL) and effectiveness in patients with menstrual cycle disorders (MCDs) including abnormal uterine bleeding, dysmenorrhea and mastodynia/mastalgia related to premenstrual syndrome taking the Vitex agnus-castus (VAC) products Cyclodynon® or Mastodynon® in a real-world setting.

Methods
A single-center retrospective longitudinal cohort study (3 ± 1 months), using data obtained from healthcare data archive and telephone interviews. The main study variables were changes in bleeding, menstrual pain, breast tenderness and patients’ QoL.

Results
Data from 1700 women with a mean age of 30.2 years (± 6.3) were analyzed. The most common MCDs were dysmenorrhea (43.8%) and mastodynia/mastalgia (21.1%). Three-month treatment with VAC extract substantially decreased the percentage of patients with irregular cycle (from 9.1% to 0.1%) and breast tenderness (from 39.9% to 0.8%). Improvement in bleeding intensity, frequency and menstrual pain was experienced by 83.4%, 79.2%, and 85.2% of the patients, respectively. When analyzed by disease category, these parameters improved in almost all dysmenorrhea patients, while they improved to a lesser extent in mastodynia/mastalgia patients. QoL improved in all aspects, but was reported by a higher proportion of dysmenorrhea patients compared to mastodynia/mastalgia patients. Treatment was overall well tolerated with a favorable safety profile.

Conclusion
These real-world data demonstrate the effectiveness of the VAC-containing products Cyclodynon® and Mastodynon® in the three-month treatment of MCDs, with a pronounced improvement in key disease symptoms and QoL. Intriguingly, while QoL was generally greatly improved, the response to VAC therapy varied depending on the type of underlying MCD.
Strong posterior contraction rates via Wasserstein dynamics
Authors: Dolera Emanuele , Favaro Stefano , Mainini Edoardo 
Published: February 2024

AbstractIn Bayesian statistics, posterior contraction rates (PCRs) quantify the speed at which the posterior distribution concentrates on arbitrarily small neighborhoods of a true model, in a suitable way, as the sample size goes to infinity. In this paper, we develop a new approach to PCRs, with respect to strong norm distances on parameter spaces of functions. Critical to our approach is the combination of a local Lipschitz-continuity for the posterior distribution with a dynamic formulation of the Wasserstein distance, which allows to set forth an interesting connection between PCRs and some classical problems arising in mathematical analysis, probability and statistics, e.g., Laplace methods for approximating integrals, Sanov’s large deviation principles in the Wasserstein distance, rates of convergence of mean Glivenko–Cantelli theorems, and estimates of weighted Poincaré–Wirtinger constants. We first present a theorem on PCRs for a model in the regular infinite-dimensional exponential family, which exploits sufficient statistics of the model, and then extend such a theorem to a general dominated model. These results rely on the development of novel techniques to evaluate Laplace integrals and weighted Poincaré–Wirtinger constants in infinite-dimension, which are of independent interest. The proposed approach is applied to the regular parametric model, the multinomial model, the finite-dimensional and the infinite-dimensional logistic-Gaussian model and the infinite-dimensional linear regression. In general, our approach leads to optimal PCRs in finite-dimensional models, whereas for infinite-dimensional models it is shown explicitly how the prior distribution affect PCRs.
Oral Candida carriage and resistance against common antifungal agents in hematopoietic stem cell transplantation recipients
Authors: Mauramo Matti , Tonoz Nurgül , Halter Jörg , Joseph Betsy , Waltimo Tuomas 
Published: February 2024

Abstract
Purpose
Allogeneic hematopoietic stem cell transplant (HSCT) recipients receiving long-term and high-dose immunosuppressive medications suffer commonly from oral candida infections. This prospective cohort study examined oral fungal carriage in HSCT recipients and screened the susceptibility against commonly used antifungal agents. An increasing oral occurrence of Candida spp. and the development of resistance against clinically administered fluconazole were hypothesized.

Methods
Two hundred HSCT recipients were included and followed up for 2 years post-HSCT. Oral microbiological specimens were analyzed with matrix-assisted laser desorption/ionization-time of flight mass spectrometry assays (MALDI-TOF). The colorimetric method was applied for the susceptibility testing by commercially available Sensititre YeastOne (SYO®, TREK Diagnostics Systems, Thermo-Fisher, UK).

Results
The prevalence of oral Candida spp. carriage increased statistically significantly after a year post-HSCT being 30, 26, 35, 44, and 47%, pre-HSCT, 3, 6, 12, and 24 months post-HSCT, respectively. Altogether, 169 clinical oral Candida strains were isolated. Fourteen Candida spp. were identified, and C. albicans was predominant in 74% of the isolates pre-HSCT with a descending prevalence down to 44% 2 years post-HSCT. An increasing relative proportion of non-albicans species post-HSCT was evident. No development of resistance of C. albicans against fluconazole was found. Instead, a shift from C. albicans towards non-albicans species, especially C. dubliensis, C. glabrata, and relatively seldom found C. krusei, was observed.

Conclusion
Oral Candida carriage increases after HSCT. Instead of the expected development of resistance of C. albicans against fluconazole, the relative proportion of non-albicans strains with innate resistance against azole-group antifungals increased.
Robust generation expansion planning in power grids under renewable energy penetration via honey badger algorithm
Authors: Abou El-Ela Adel A. , El-Sehiemy Ragab A. , Shaheen Abdullah M. , Shalaby Ayman S. , Mouwafi Mohamed T. 
Published: February 2024

AbstractRobust reliability Generation Expansion Planning (GEP) turns out to be a crucial step for an efficient energy management system in a modern power grid, especially under renewable energy employment. The integration of all such components in a GEP model makes it a large-scale, nonlinear, and mixed-variable mathematical modeling problem. In this paper, the presence of wind energy uncertainty is analyzed. Both long and short-term uncertainties are incorporated into the proposed GEP model. The first step concerns the impact of long-term wind uncertainties through the annual variations of the capacity credit of two real sites in Egypt at Zafaranh and Shark El-ouinate. The second step deals with the short-term uncertainties of each wind site. The wind speed uncertainty of each wind site is modeled by probability distribution function. Then, wind power is estimated from the wind power curve for each wind site and Monte-Carlo Simulation is performed. Fast Gas Turbine and/or Pump Hydro Storage are incorporated to cope with short-term uncertainties. Sensitivity analysis is implemented for 3, 6, and 12 stages as short and long planning horizons to minimize the total costs with wind energy penetration and emission reduction over planning horizons. Also, a novel Honey Badger Algorithm (HBA) with model modifications such as Virtual Mapping Procedure, Penalty Factor Approach, and the Modified of Intelligent Initial Population Generation is utilized for solving the proposed GEP problem. The obtained results are compared with other algorithms to ensure the superior performance of the proposed HBA. According to the results of the applicable test systems, the proposed HBA performs better than the others, with percentage reductions over CSA, AO, BES, and PSO ranging up to 4.2, 2.72, 2.7, and 3.4%, respectively.