bluuebunny/crossref_metadata_2025_split huggingface dataset:
MR Molecular Image Guided Treatment of Pancreatic Cancer with Targeted ECO/miR-200c Nanoparticles in Immunocompetent Mouse Tumor Models
Authors: Laney Victoria , Hall Ryan , Yuan Xueer , Hampson Emma , Halle Augusta , Yeung Grace , Bonk Kristen-Weber , Apte Suneel , Winter Jordan , Keri Ruth , Lu Zheng-Rong 
Published: August 2024

Abstract
Objective
Pancreatic ductal adenocarcinoma (PDAC) is characterized by desmoplasia due to increased deposition of extracellular matrix (ECM) proteins. This work investigates the efficacy of targeted ECO/miR-200c nanoparticles (ELNP) on ECM remodeling in PDAC and tumor proliferation with MR molecular imaging (MRMI) with MT218 in immunocompetent mouse models.

Methods
The miR-200c mediated regulation of EMT markers was measured in PDAC cells in vitro. Wild-type mice bearing mutated KRAS-driven KPC subcutaneous or orthotopic tumors were dosed weekly with RGD-ELNP/miR-200c at 1 mg-RNA/kg for a total of 4 doses. We utilized MT218-MRMI to non-invasively monitor the alteration of tumor ECM EDN-FN levels by miR-200c and tumor response to the treatment. The changes were also validated by posthumous histopathology.

Results
Transfection of PDAC cells with ELNP/miR-200c downregulated the expression of FN1 and EDB-FN and some mesenchymal markers, inhibiting 3D spheroid formation and migration of KPC PDAC cells. RGD-ELNP/miR-200c treatment resulted in significant signal reduction in the MT218 enhanced MRMI images of both subcutaneous and orthotopic KPC tumors compared to those prior to treatment and treated with a non-specific control. MT218-MRMI results were suggestive of EDB-FN downregulation in tumors, which was later confirmed by immunohistochemistry. Tumor growth in subcutaneous tumors was significantly attenuated with RGD-ELNP/miR-200c and was an observed trend in orthotopic tumors. Substantial necrosis and remodeling were observed in both models treated with RGD-ELNP/miR-200c based on H&E staining.

Conclusion
These results demonstrate the feasibility of RGD-ELNP/miR-200c in modulating PDAC ECM and restraining tumor growth and the utility of MT218-MRMI for non-invasively monitoring miR-200c efficacy.
Syndrome of inappropriate antidiuresis/hyponatremia in COVID-19
Authors: Peri Alessandro , Naldi Laura , Norello Dario , Fibbi Benedetta 
Published: August 2024

AbstractHyponatremia is the most frequent electrolyte alteration among hospitalized patients and it has been reported in 20–40% of patients with SARS-CoV-2 (COVID-19) infection. Multiple causes of hyponatremia have been hypothesized in these patients. The syndrome of inappropriate antidiuresis (SIAD) has been considered one of the main reasons leading to hyponatremia in this condition. SIAD can be secondary to cytokines release, in particular IL-6. Positive pressure ventilation can be another cause of hyponatremia due to SIAD. Other possible etiologies of hyponatremia in COVID-19 patients can be related to secondary hypocortisolism, nausea, vomiting, heart and kidney damage. Similar to many other clinical conditions, there is strong evidence that hyponatremia is associated with a worse prognosis also in patients with COVID-19 infection. In particular, hyponatremia has been identified as an independent risk of ICU transfer, need of non-invasive ventilation and death. Hyponatremia in COVID-19 patients is in principle acute and symptomatic and should be treated as such, according to the published guidelines. Therefore, patients should be initially treated with i.v. hypertonic saline (3% NaCl) infusion and serum [Na+] should be frequently monitored, in order to remain within a safe rate of correction. There is evidence showing that serum [Na+] correction is associated with a better outcome in different pathologies, including COVID-19 infection.
Predicting Solar Cycle 26 Using the Polar Flux as a Precursor, Spectral Analysis, and Machine Learning: Crossing a Gleissberg Minimum?
Authors: Rodríguez José-Víctor , Sánchez Carrasco Víctor Manuel , Rodríguez-Rodríguez Ignacio , Pérez Aparicio Alejandro Jesús , Vaquero José Manuel 
Published: August 2024

AbstractThis study introduces a novel method for predicting the sunspot number ($\mathrm{S}_{\mathrm{N}}$

S
N

) of Solar Cycles 25 (the current cycle) and 26 using multivariate machine-learning techniques, the Sun’s polar flux as a precursor parameter, and the fast Fourier transform to conduct a spectral analysis of the considered time series. Using the 13-month running average of the version 2 of the $\mathrm{S}_{\mathrm{N}}$

S
N

provided by the World Data Center—SILSO, we are thus able to present predictive results for the $\mathrm{S}_{\mathrm{N}}$

S
N

until January 2038, giving maximum peak values of 131.4 (in July 2024) and 121.2 (in September 2034) for Solar Cycles 25 and 26, respectively, with a root mean square error of 10.0. These predicted dates are similar to those estimated for the next two polar flux polarity reversals (April 2024 and August 2034). Furthermore, the values for the $\mathrm{S}_{\mathrm{N}}$

S
N

maxima of Solar Cycles 25 and 26 have also been forecasted based on the known correlation between the absolute value of the difference between the polar fluxes of both hemispheres at an $\mathrm{S}_{\mathrm{N}}$

S
N

minimum and the maximum $\mathrm{S}_{\mathrm{N}}$

S
N

of the subsequent cycle, obtaining similar values to those achieved with the previous method: 142.3 ± 34.2 and 126.9 ± 34.2 for Cycles 25 and 26, respectively. Our results suggest that Cycle 25 will have a maximum amplitude that lies below the average and Cycle 26 will reach an even lower peak. This suggests that Solar Cycles 24 (with a peak of 116.4), 25, and 26 would belong to a minimum of the centennial Gleissberg cycle, as was the case in the final years of the 19th and the early 20th centuries (Solar Cycles 12, 13, and 14).
Sparse Bayesian learning using TMB (Template Model Builder)
Authors: Helgøy Ingvild M. , Skaug Hans J. , Li Yushu 
Published: August 2024

AbstractSparse Bayesian Learning, and more specifically the Relevance Vector Machine (RVM), can be used in supervised learning for both classification and regression problems. Such methods are particularly useful when applied to big data in order to find a sparse (in weight space) representation of the model. This paper demonstrates that the Template Model Builder (TMB) is an accurate and flexible computational framework for implementation of sparse Bayesian learning methods.The user of TMB is only required to specify the joint likelihood of the weights and the data, while the Laplace approximation of the marginal likelihood is automatically evaluated to numerical precision. This approximation is in turn used to estimate hyperparameters by maximum marginal likelihood. In order to reduce the computational cost of the Laplace approximation we introduce the notion of an “active set” of weights, and we devise an algorithm for dynamically updating this set until convergence, similar to what is done in other RVM type methods. We implement two different methods using TMB; the RVM and the Probabilistic Feature Selection and Classification Vector Machine method, where the latter also performs feature selection. Experiments based on benchmark data show that our TMB implementation performs comparable to that of the original implementation, but at a lower implementation cost. TMB can also calculate model and prediction uncertainty, by including estimation uncertainty from both latent variables and the hyperparameters. In conclusion, we find that TMB is a flexible tool that facilitates implementation and prototyping of sparse Bayesian methods.
The Lubricity of Gases
Authors: Zhang Jie , Wong Janet S. S. , Spikes Hugh A. 
Published: August 2024

AbstractA sealed reciprocating tribometer has been used to study the influence of different gaseous environments on the friction and wear properties of AISI52100 bearing steel at atmospheric pressure and 25 °C. Helium, argon, hydrogen, carbon dioxide and nitrogen all give high friction and wear, suggestive of very little, if any tribofilm formation under the conditions studied. Dry air and oxygen also give high friction, slightly lower than the inert gases, but produce extremely high wear, much higher than the inert gases. This is characteristic of the phenomenon of “oxidational wear”. The two gases ammonia and carbon monoxide give relatively low friction and wear, and XPS analysis indicates that this is due to the formation of adsorbed ammonia/nitride and carbonate films respectively. For the hydrocarbon gases studied, two factors appear to control friction and wear, degree of unsaturation and molecular weight. For the saturated hydrocarbons, methane and ethane give high friction and wear but propane and butane give low friction after a period of rubbing that decreases with molecular weight. The unsaturated hydrocarbons all give an immediate reduction in friction with correspondingly low wear. Raman analysis shows that all the hydrocarbons that reduce friction and wear form a carbonaceous tribofilm on the rubbed surfaces.
Graphical Abstract
Microcystin-degrading bacteria reduce bioaccumulation in Fragaria vulgaris and enhance fruit yield and quality
Authors: Haida Mohammed , Khalloufi Fatima El , Essadki Yasser , Alexandrino Diogo A. M. , Mugani Richard , Hejjaj Abdessamad , Campos Alexandre , Vasconcelos Vitor , Carvalho Maria F. , Díez-Quijada Leticia , Cameán Ana M. , Oudra Brahim 
Published: August 2024

AbstractIn Morocco, red fruit production has thrived, primarily utilizing hydroponic methods to control crops, increase fruit yield and quality, and avoid soil-related problems. However, the irrigation of these expansive hydroponic farms relies heavily on water sourced from dams, many of which are contaminated with Microcystins (MCs). To address this contamination issue, ongoing research is focused on discovering effective and cost-efficient biological solutions for eliminating MCs. In this study, we isolate and identify bacterial strains capable of degrading MCs, evaluate the rate of degradation, and investigate how soil inoculated with these bacteria affects the accumulation of MCs in plant tissue. The partial 16S rRNA analyses of three bacterial sequences were conducted, identifying them through NCBI as follows: Ensifer sp. (B1) isolated from soil, Shinella sp. (B2) from a cyanobacterial bloom, and Stutzerimonas sp. (B3) from water. These bacteria exhibited the ability to degrade MCs, with approximately 34.75%, 73.75%, and 30.1% of the initial concentration (20 µg/L) being removed after a 6-day period for B1, B2, and B3, respectively. Moreover, strawberry plants were cultivated hydroponically in a greenhouse for a duration of 90 days. These plants were subjected to extracts of cyanobacteria containing 10 and 20 µg/L of Microcystins (MC), as well as water from an artificial lake contaminated with MC, both with and without the presence of isolated bacterial strains. Among these strains, Shinella sp. exhibited the highest efficacy in mitigating MC accumulation. Specifically, it resulted in a reduction of approximately 1.159 µg of MC per kilogram of root dry weight, leading to complete elimination in the leaves and fruits. The findings also indicated that the inoculation of perlite with the three MC-degrading bacterial strains significantly enhanced growth, photosynthetic pigments, yield, biochemical constituents, and quality attributes of strawberries (p ≤ 0.05). These promising outcomes suggest the potential of this approach for addressing the adverse impacts of crops irrigated with MC-contaminated water in future agricultural practices.
Optimization of indirect wastewater characterization using led spectrophotometry: a comparative analysis of regression, scaling, and dimensionality reduction methods
Authors: Carreres-Prieto Daniel , Fernandez-Blanco Enrique , Rivero Daniel , Rabuñal Juan R. , Anta Jose , García Juan T. 
Published: August 2024

AbstractLED spectrophotometry is a robust technique for the indirect characterization of wastewater pollutant load through correlation modeling. To tackle this issue, a dataset with 1300 samples was collected, from both raw and treated wastewater from 45 wastewater treatment plants in Spain and Chile collected over 4 years. The type of regressor, scaling, and dimensionality reduction technique and nature of the data play crucial roles in the performance of the processing pipeline. Eighty-four pipelines were tested through exhaustive experimentation resulting from the combination of 7 regression techniques, 3 scaling methods, and 4 possible dimensional reductions. Those combinations were tested on the prediction of chemical oxygen demand (COD) and total suspended solids (TSS). Each pipeline underwent a tenfold cross-validation on 15 sub-datasets derived from the original dataset, accounting for variations in plants and wastewater types. The results point to the normalization of the data followed by a conversion through the PCA to finally apply a Random Forest Regressor as the combination which stood out These results highlight the importance of modeling strategies in wastewater management using techniques such as LED spectrophotometry.
On Hillert-Style Non-equilibrium Thermodynamics
Authors: Ågren John 
Published: August 2024

AbstractHillert often used the combined first and second law of thermodynamics to discuss and derive the principles of equilibrium as well as non-equilibrium thermodynamics. His method will now be reviewed and applied to reactions in homogeneous systems as well as transport processes As an example of homogeneous systems undercooled liquids and glasses is discussed.
Functional Outcomes of Orthotopic Neobladder in Women
Authors: Nseyo Unwanaobong , Ginsberg David 
Published: August 2024

Abstract
Purpose of Review
This review paper summarizes the available literature on the evolution of surgical approach to radical cystectomy in female bladder cancer patients and its impact on functional outcomes in orthotopic neobladder.

Recent Findings
Traditionally, radical cystectomy in female bladder cancer patients has been maximally extirpative with pelvic exenteration. Recently, new techniques which include pelvic organ-sparing, nerve-sparing and vaginal-sparing have demonstrated improved rates of urinary incontinence and retention. Additional techniques include prophylactic apical suspension which reduces the likelihood of pelvic organ prolapse, a risk factor for voiding dysfunction in the setting of orthotopic neobladder.

Summary
Surgical management of bladder cancer in female patients has evolved to include surgical approaches which center quality of life and functional outcomes that are unique to female patients who have undergone radical cystectomy with ileal neobladder and can be optimized based on considerations regarding an approach that limits pelvic floor and pelvic nerve disruption.
Managing Obesity in Heart Failure: Latest Evidence and Knowledge Gaps
Authors: Ibrahim Ramzi , Pham Hoang Nhat , Vest Amanda R. , William Preethi 
Published: August 2024

Abstract
Purpose of Review
This review aims to synthesize the latest evidence focused on therapies related to comorbid obesity and heart failure, with particular attention to lifestyle, pharmacological, and surgical modalities.

Recent Findings
Obesity is a common risk factor for heart failure, which can also exacerbate symptom burden of heart failure. Emerging treatments, such as the use of GLP-1 analogs like semaglutide, have shown promising results in improving symptoms and physical limitations in the setting of comorbid heart failure with preserved ejection fraction and obesity. Conversely, the efficacy of such treatments in heart failure with reduced ejection fraction remains uncertain, with some studies suggesting potential adverse outcomes. Lifestyle interventions, including dietary changes and structured exercise programs, may be associated with benefits in terms of functional capacity and symptom burden, and retrospective cohort studies of surgical weight loss have raised the possibility of improvements in medium term survival for patients with baseline HF, challenging the previous notions of the "obesity survival paradox”.

Summary
The management of comorbid obesity and heart failure is a rapidly evolving field. The interplay of pharmacological, lifestyle, and surgical interventions highlights the need for personalized treatment plans to mitigate the risks and enhance the quality of life for patients with heart failure. It is hoped that future guidelines will integrate these findings to address the nuances of optimally treating both heart failure and obesity in patients with both conditions.

Graphical Abstract
Enhancing Job Satisfaction for Oncology Staff: Research Versus Inquisitive Conversations
Authors: Samant Rajiv 
Published: August 2024

AbstractThe burden of cancer is increasing, and this is putting incredible strain on the healthcare system, specifically on frontline oncology health care providers. This is well documented in the published literature, and the situation has been exacerbated following the COVID-19 pandemic. There is ample evidence about the concerns of healthcare staff as to what changes are needed to improve their work lives and make them more efficient and effective at their jobs. There can always be more research done in this area, but, more importantly, there is an urgent need to start taking concrete steps and appropriate action to improve the situation so cancer patients can get the best available care possible.
Student wellbeing in vertical schools: a multilayered student voice approach for inclusion and influence
Authors: Gillett-Swan Jenna K. , Willis Jill , Miles Prue 
Published: August 2024

AbstractVertical schools are a new type of school in Australia, with little research available to guide designers and school leaders how to address the physical and social challenges that density and interiority add to the students’ schooling experience. As students capably communicate their experiences and perspectives about school spaces for wellbeing, pioneering students in three new vertical schools demonstrated the power of student voice in the Thriving in Vertical Schools project, a 3-year mixed-methods Australian Research Council Linkage project. Young people showed adults how their school spaces enable them to be, feel, and do activities where they feel capable, and how the vertical school environment contributes to wellbeing. Students communicated their voice through multiple layers: the student voice processes (methods), stories with sensory atmospheres (experience), and participating in impactful discussions with adults (action/influence). Adult designers and education leaders were interviewed several weeks after listening to students, identifying how student perspectives had influenced their work. This paper demonstrates how the combination of participatory voice-inclusive methods enabled students to communicate immersive experiences that brought light to interactions for school wellbeing at a level of granularity that adults had not had access to before to influence future designs. This paper argues for the value of attending to student voice and sensitivity in providing choice and options when doing so, so that students are supported to express themselves and their rich experiences in ways of their choosing and ways comfortable to them.
What is known about simulation technologies and their application to Initial Teacher Education: A scoping review
Authors: Hillyar K. , Smithers K. , Deehan J. , MacDonald A. 
Published: August 2024

AbstractSimulation technologies are emerging as a possible solution to prepare Initial Teacher Education (ITE) students for the classroom and reduce undue pressure on supervising teachers. This paper presents a scoping review that reports on what is currently known regarding simulated technologies and their application to ITE programs. The review scoped the literature published between January 2013 and March 2023, with 16 studies identified for inclusion. Using descriptive statistics and a narrative synthesis method, this review maps the response to different types of simulation technologies and the impact of simulation on ITE students’ teaching skills and pedagogies. Unanimously, the studies agree that simulation is beneficial to ITE students as an authentic preparation tool to strengthen teaching skills and pedagogies. Conversely, ITE student responses to simulation are mixed. The research identifies the need for continued research and development in this emerging field. Longitudinal impacts of simulation in ITE programs are yet to be reported. This review recommends that future research builds upon the initial evidence, including larger participant numbers, clarifying the ideal duration of simulation for ITE students, and taking up a universal definition of simulation.
Maximizing strength and durability in wood concrete (arbolite) via innovative additive control and consumption
Authors: Yagubkin Aleksandr , Shabanov Dmitry , Niyakovskii Aleksandr , Romanovski Valentin 
Published: August 2024

AbstractA new approach for assessing the effectiveness and determining the consumption of additives to regulate the structural and mechanical characteristics of wood concrete is proposed, which allows rapid assessment in a short time and reduces the consumption of materials. The period is reduced from 28 to 1 day, and the sample sizes are reduced from 150 × 150 × 150 to 20 × 20 × 20 mm compared to those of the standard method. The results obtained are comparable using both methods within an error of up to 7%. The thermal conductivity of wood concrete with the addition of potassium sulfate was 20.8% less than that with the addition of calcium chloride. This reduction will reduce wall thickness, material consumption, and cost by 20.8%. In this regard, potassium sulfate, which does not form crystalline hydrates and makes it possible to obtain a material with lower thermal conductivity than other additives, all other things being equal, has a new advantage for wood concrete. In addition, potassium sulfate reduces the risk of corrosion of cement stone because one of the main causes of corrosion is crystalline hydrates. Reducing the risk of corrosion will increase the durability of the material.