bluuebunny/crossref_metadata_2025_split huggingface dataset:
Short-term serial circulating tumor DNA assessment predicts therapeutic efficacy for patients with advanced pancreatic cancer
Authors: Motobayashi Hideki , Kitahata Yuji , Okada Ken-ichi , Miyazawa Motoki , Ueno Masaki , Hayami Shinya , Miyamoto Atsushi , Shimizu Atsushi , Sato Masatoshi , Yoshimura Tomohiro , Nakamura Yuki , Takemoto Norio , Nakai Tomoki , Hyo Takahiko , Matsumoto Kyohei , Yamaue Hiroki , Kawai Manabu 
Published: January 2024

Abstract
Purpose
We investigated the potential clinical utility of short-term serial KRAS-mutated circulating cell-free tumor DNA (ctDNA) assessment for predicting therapeutic response in patients undergoing first-line chemotherapy for advanced pancreatic cancer.

Methods
We collected 144 blood samples from 18 patients with locally advanced or metastatic cancer that were undergoing initial first-line chemotherapy of gemcitabine plus nab-paclitaxel (GEM plus nab-PTX). Analysis of KRAS-mutated ctDNA was quantified by digital droplet polymerase chain reaction (ddPCR) as mutant allele frequency (MAF). This study investigated pretreatment KRAS-mutated ctDNA status and ctDNA kinetics every few days (days 1, 3, 5 and 7) after initiation of chemotherapy and their potential as predictive indicators.

Results
Of the 18 enrolled patients, an increase in KRAS-mutated ctDNA MAF values from day 0–7 after initiation of chemotherapy was significantly associated with disease progression (P < 0.001). Meanwhile, positive pretreatment ctDNA status (MAF ≥ 0.02%) (P = 0.585) and carbohydrate antigen 19-9 (CA19-9) values above the median (P = 0.266) were not associated with disease progression. In univariate analysis, this short-term increase in ctDNA MAF values (day 0–7) was found to be associated with significantly shorter progression free survival (PFS) (hazard ration [HR], 24.234; range, (2.761–212.686); P = 0.0002).

Conclusion
This short-term ctDNA kinetics assessment may provide predictive information to reflect real-time therapeutic response and lead to effective refinement of regimen in patients with advanced pancreatic cancer undergoing systemic chemotherapy.
Cost and effectiveness of autologous haematopoietic stem cell transplantation and high-efficacy disease-modifying therapies in relapsing–remitting multiple sclerosis
Authors: Mariottini Alice , Nozzoli Chiara , Carli Ilaria , Landi Filippo , Gigli Valentina , Repice Anna Maria , Ipponi Alessandra , Cecchi Michele , Boncompagni Riccardo , Saccardi Riccardo , Massacesi Luca 
Published: January 2024

Abstract
Background
Autologous haematopoietic stem cell transplantation (AHSCT) is a highly effective one-off treatment for relapsing–remitting multiple sclerosis (RR-MS), potentially representing an optimal front-loading strategy for costs.

Objective
Exploring cost/effectiveness of AHSCT and high-efficacy disease-modifying treatments (HE-DMTs) in RR-MS, estimating costs at our centre in Italy, where National Health Service (NHS) provides universal health coverage.

Methods
Costs (including drugs, inpatient/outpatient management) for treatment with AHSCT and HE-DMTs were calculated as NHS expenditures over 2- and 5-year periods. Cost-effectiveness for each treatment was estimated as “cost needed to treat” (CNT), i.e. expense to prevent relapses, progression, or disease activity (NEDA) in one patient over n-years, retrieving outcomes from published studies.

Results
Costs of AHSCT and HE-DMTs were similar over 2 years, whereas AHSCT was cheaper than most HE-DMTs over 5 years (€46 600 vs €93 800, respectively). When estimating cost-effectiveness of treatments, over 2 years, mean CNT of HE-DMTs for NEDA was twofold that of AHSCT, whereas it was similar for relapses and disability. Differences in CNT were remarkable over 5 years, especially for NEDA, being mean CNT of HE-DMTs €382 800 vs €74 900 for AHSCT.

Conclusions
AHSCT may be highly cost-effective in selected aggressive RR-MS. Besides priceless benefits for treated individuals, cost-savings generated by AHSCT may contribute to improving healthcare assistance at a population level.
Insights Into Electrophysiological Metrics of Cochlear Health in Cochlear Implant Users Using a Computational Model
Authors: Takanen Marko , Strahl Stefan , Schwarz Konrad 
Published: January 2024

Abstract
Purpose
The hearing outcomes of cochlear implant users depend on the functional status of the electrode-neuron interface inside the cochlea. This can be assessed by measuring electrically evoked compound action potentials (eCAPs). Variations in cochlear neural health and survival are reflected in eCAP-based metrics. The difficulty in translating promising results from animal studies into clinical use has raised questions about to what degree eCAP-based metrics are influenced by non-neural factors. Here, we addressed these questions using a computational model.

Methods
A 2-D computational model was designed to simulate how electrical signals from the stimulating electrode reach the auditory nerve fibers distributed along the cochlea, evoking action potentials that can be recorded as compound responses at the recording electrodes. Effects of physiologically relevant variations in neural survival and in electrode-neuron and stimulating-recording electrode distances on eCAP amplitude growth functions (AGFs) were investigated.

Results
In line with existing literature, the predicted eCAP AGF slopes and the inter-phase gap (IPG) effects depended on the neural survival, but only when the IPG effect was calculated as the difference between the slopes of the two AGFs expressed in linear input–output scale. As expected, shallower eCAP AGF slopes were obtained for increased stimulating-recording electrode distance and larger eCAP thresholds for greater electrode-neuron distance. These non-neural factors had also minor interference on the predicted IPG effect.

Conclusions
The model predictions demonstrate previously found dependencies of eCAP metrics on neural survival and non-neural aspects. The present findings confirm data from animal studies and provide insights into applying described metrics in clinical practice.
On entropy martingale optimal transport theory
Authors: Doldi Alessandro , Frittelli Marco , Rosazza Gianin Emanuela 
Published: January 2024

AbstractIn this paper, we give an overview of (nonlinear) pricing-hedging duality and of its connection with the theory of entropy martingale optimal transport (EMOT), recently developed, and that of convex risk measures. Similarly to Doldi and Frittelli (Finance Stoch 27(2):255–304, 2023), we here establish a duality result between a convex optimal transport and a utility maximization problem. Differently from Doldi and Frittelli (Finance Stoch 27(2):255–304, 2023), we provide here an alternative proof that is based on a compactness assumption. Subhedging and superhedging can be obtained as applications of the duality discussed above. Furthermore, we provide a dual representation of the generalized optimized certainty equivalent associated with indirect utility.
Persisting through friction: growing a community driven knowledge infrastructure
Authors: Rayburn Alexandria J. , Punzalan Ricardo L. , Thomer Andrea K. 
Published: January 2024

AbstractMany memory institutions hold heritage items belonging to Indigenous peoples. There are current efforts to share knowledge about these heritage items with their communities; one way this is done is through digital access. This paper examines The Great Lakes Research Alliance for the Study of Aboriginal Arts and Cultures (GRASAC), a network of researchers, museum professionals, and community members who maintain a digital platform that aggregates museum and archival research on Anishinaabe, Haudenosaunee, and Huron-Wendat cultures into a centralized database. The database, known as the GRASAC Knowledge Sharing System (GKS), is at a point of infrastructural growth, moving from a password protected system to one that is open to the public. Rooted in qualitative research from semi-structured interviews with the creators, maintainers, and users of the database, we examine the frictions in this expanding knowledge infrastructure (KI), and how they are eased over time. We find the friction within GRASAC resides in three main categories: collaborative friction, data friction, and our novel contribution: systemic friction.
Terahertz Detection of Acid Blue 113 Dye Using Hybrid Hydrogels
Authors: Garnica-Palafox Itzel M. , Velázquez-Benítez Amado M. , Sánchez-Arévalo Francisco , Qureshi Naser 
Published: January 2024

AbstractThe detection of pollutant dyes in the environment, particularly in waterways, can be extended and potentially simplified using terahertz spectroscopy. The use of hydrogels to absorb these contaminants from water and create solid samples with moderate transparency at terahertz frequencies evidently facilitates spectroscopic analysis. In this study, we demonstrate that chitosan and poly(vinyl alcohol) hydrogels, as well as their cross-linked and nanocomposite hybrid blends, efficiently capture the acid blue 113 azo dye (AB113). We show that terahertz transmittance and refractive index measurements conducted on these hydrogel materials offer an effective alternative method for detecting water contaminants, especially azo dyes. The terahertz transmittance spectra provide evidence of azo dye molecules within the hydrogel membranes. Additionally, considering the alterations in the hydrogels’ refractive index due to the sorption of AB113 dye molecules, we derived an analytical model to accurately estimate the amount of dye sorbed by the polymeric networks. The findings of this study establish a practical and promising approach for both qualitative and quantitative terahertz detection of AB113 dye using hybrid hydrogels. A detailed comparison with optical and infrared spectroscopy is also provided for reference.
Valorization of Monoraphidium sp. microalgal biomass for human nutrition applications
Authors: Georgiou Despoina , Exarhopoulos Stylianos , Charisis Aggelos , Simitsis Savvas , Papapanagiotou Georgia , Samara Christina , Katsiapi Matina , Kountrias Georgios , Bouras Sofoklis , Katsoulas Nikolaos , Karapanagiotidis Ioannis T. , Chatzidoukas Christos , Kalogianni Eleni P. 
Published: January 2024

AbstractThe green microalga Monoraphidium sp. has potential for biodiesel production since it grows fast and can accumulate high levels of lipids. However, there is a lack of information on the potential use in human nutrition. In this work Monoraphidium sp. was characterized in terms of macronutrients with a special focus on the fatty acid profile of the lipid fraction and on the amino acid profile of the proteins. Furthermore, aiming at nutrient valorization, various methods for lipid extraction that could be used in the production of high quality and safe foods were investigated. To this end, the focus was on cell disruption methods in order to optimize oil recovery. The Monoraphidium sp. biomass had a high protein concentration (44.5 %) and a relatively low lipid concentration (12.5 %) but was rich in ω-3 fatty acids demonstrating its high nutritive value. Regarding cell disruption, ultrasonication and high-speed homogenization were insufficient to disrupt cells under the conditions examined. On the other hand, the effectiveness of the ball milling was regulated via processing time and water-to-biomass ratio and complete cell disruption could be achieved by this method. For lipid extraction, solvent extraction using a mixture of food-grade hexane and ethanol resulted in an oil recovery of 70.4 %, whereas using ethanol alone as an environmentally friendly solvent resulted in an oil recovery equal to 54 %. Supercritical CO2 extraction resulted in a lower oil recovery (25 %), whereas ethanol addition, as a cosolvent to CO2, significantly increased the oil recovery (60 %).
Effect of microcrystalline cellulose on the mechanical properties of flax reinforced methylmethacrylate and urethane acrylate composites
Authors: Bandaru Aswani Kumar , Pichandi Subramani , Ma Hong , Panchal Manoj , Gujjala Raghavendra 
Published: January 2024

AbstractMany structural applications are attracted to natural fibre-reinforced polymeric composites due to their eco-friendliness, recyclability, and cost-effectiveness. While significant progress has been made, their interface compatibility with the polymeric matrix is still challenging. Therefore, the present study proposed a method for improving the mechanical and dynamic mechanical performance of flax-reinforced novel methylmethacrylate (Elium®) and urethane acrylate (Crestapol®) composites. The technique involved the dispersion of microcrystalline cellulose (MCC) in the matrix at different weight percentages (0.5–0.75%) to improve the fibre/matrix interface. Flax/Elium® (FE) and flax/Crestapol® (FC) composites with varying weight percentages of MCC were manufactured using the vacuum infusion method. The resulting improvements in mechanical and dynamic properties were evaluated through in-plane shear (± 45° tensile), flexural, short beam shear, and dynamic mechanical analysis (DMA). The effects of MCC on these properties of flax/Elium® were compared to those of flax/Crestapol® composites. The addition of MCC improved the in-plane shear strength (FE: 13–20%, FC: 10–17%), flexural strength (FE: 6–13%, FC: 13%) and interlaminar shear strength (FE: 9–17%, FC: 10–20%). Also, FE composite showed 7–11%, 10–14% and 10–17% higher in-plane shear, flexural and interlaminar shear strengths, respectively, compared to FC composites. The DMA results confirmed the positive effect of Elium® resin and MCC on the dynamic storage and loss modulus.
A comprehensive review of Trinitor components: A sustainable waste heat recovery polygenerative system for diesel vehicles
Authors: Duraivel Balamurali , Shaik Saboor , Bansal Ritik , Khanda Shubhankar Debabrata , Patel Dhruv , Natarajan M. , Saleel C. Ahamed , Jilte R. D. , Ağbulut Ümit 
Published: January 2024

AbstractInternal combustion engine inefficiencies and waste heat emissions raise environmental concerns, as they waste fuel energy in the form of heat, increasing fuel consumption and greenhouse gas emissions. Additionally, waste heat contributes to the urban heat island effect. Waste heat recovery is a vital solution, capturing and repurposing heat to reduce fuel use, emissions, and costs while promoting sustainability, innovation, and economic growth. Polygenerative waste heat recovery maximizes energy efficiency by generating multiple forms of energy from a single source, enhancing overall sustainability. The proposed Trinitor model is a polygenerative system encompassing power generation, product drying, space cooling/heating, and oxygen production. Power generation utilizes exhaust heat stored in a phase change material (PCM) to generate electricity through a Hot Air Turbine. The PCM also stores heat from the PVT thermal collector and supports produce drying. In the space cooling/heating process, the temperature contrast resulting from the hot air generated by the turbine and the cooled air from the Cooling chamber is harnessed by the Seebeck principle within the TEG, converting heat energy into electricity, and it is possible to create temperature variations using the Peltier Effect by supplying electricity. Oxygen production involves dehumidifying air, separating oxygen from hydrogen using an electrolyzer and storing oxygen for civilian use. A component review identifies SiC wall flow-diesel particulate filters (DPF), a paraffin-based Latent Heat Storage System, and electric-assisted turbo compounding as cost-effective for energy production. Produce drying relies on hot air or infrared drying, a revolving wicks humidifier, and a cooling coil dehumidifier. Space cooling/heating needs a water-type PV/T collector, MPPT charge controller, lithium-ion batteries, and ceramic TEGs. A PEM electrolyzer with appropriate components (bipolar plates, electrodes, catalyst, membrane, and gasket) enhances oxygen production efficiency. Based on existing literature, the trinitor has the potential to attain an overall efficiency ranging from 40.12–54.81%. Thus, a combination of low-efficiency processes results in a highly efficient waste heat recovery Trinitor system, with further improvements possible through identified components’ integration.
Removal efficiencies of seven frequently detected antibiotics and related physiological responses in three microalgae species
Authors: Frascaroli Gabriele , Roberts Joanne , Hunter Colin , Escudero Ania 
Published: January 2024

AbstractThe main objective of this study is to investigate the effect of mixtures of seven widely used human antibiotics (ciprofloxacin, clarithromycin, erythromycin, metronidazole, ofloxacin, sulfamethoxazole, and trimethoprim) on the growth, pH, pigment production, and antibiotics removal of three microalgal species (Auxenochlorella protothecoides, Tetradesmus obliquus, and Chlamydomonas acidophila). Batch assays were conducted with media with antibiotic mixtures at 10, 50, and 100 μg L−1 for each antibiotic. The three microalgae species effectively removed the antibiotics without any growth inhibition, even when exposed to the highest antibiotic concentrations. Biosorption was reported as the primary mechanism for ciprofloxacin, clarithromycin, metronidazole, and ofloxacin, with up to 70% removal, especially in A. protothecoides and C. acidophila. A. protothecoides, a species never investigated for antibiotic removal, was the only microalgae exhibiting bioaccumulation and biodegradation of specific antibiotics, including sulfamethoxazole. Furthermore, in media with the highest antibiotic concentration, all three species exhibited increased chlorophyll (up to 37%) and carotenoid (up to 32%) production, accompanied by a pH decrease of 3 units. Generally, in the present study, it has been observed that physiological responses and the removal of antibiotics by microalgae are interlinked and contingent on the antibiotic levels and types.
Driving carbon emission reduction in China through green finance and green innovation: an endogenous growth perspective
Authors: Li Kunming , Lin Weiyuan , Jiang Tingjun , Mao Yifan , Shi Wenming 
Published: January 2024

AbstractDiscovering drivers of carbon dioxide (CO2) emissions is vital for the Chinese government to achieve carbon peak and carbon neutral. With this aim, a theoretical endogenous growth model capturing the mitigating effect of green finance and green innovation on carbon emissions is constructed in this study, which is further empirically examined using China’s municipal-level panel data during 2010–2019. The main findings are as follows: First, there is theoretical and empirical evidence supporting that green finance and green innovation can inhibit carbon emissions. Second, the above inhibitory effects demonstrate clear regional disparities with significant effects only in eastern and central Chinese cities, which are moderated by environmental regulations and marketization levels, respectively. Third, in cities with high green finance, green finance plays a more significant role in reducing carbon emissions than green innovation, and the opposite is true in cities with low green finance. In addition, the robustness and endogeneity checks indicate that the results of this study are robust and reliable. These theoretical and empirical findings create profound implications for CO2 emission reduction by vigorously guiding funds to green finance and formulating scientific and effective environmental regulations to promote green innovation in China.
Reevaluating the conglomerate discount in Germany: the role of design choices
Authors: Eulerich Marc , Fligge Benjamin 
Published: January 2024

Abstract
Despite the current trend toward refocusing on the core business, the empirical results on the conglomerate discount are conflicting and provide opposing implications to managers as to whether they should pursue diversification or not. Prior literature has employed various research designs, all of which have the potential to impact results. In this study, we analyze which design choices affect the conglomerate discount. We analyze a sample of approximately 6000 German firm-years between 2000 and 2019 and find a conglomerate discount of 7.9–11.5%. Our findings reveal that design choices related to self-selection have the highest impact on the results. Using a 2SLS approach, we find no causal relationship between diversification and market value despite testing various sets of instruments and excess values. Our results inform practitioners and researchers regarding the impact of design choices on the magnitude and existence of the conglomerate discount.
Role of PET/CT in diagnosing and monitoring disease activity in rheumatoid arthritis: a review
Authors: Singh Shashi B. , Bhandari Sambhawana , Bhandari Sadikshya , Bhandari Samikshya , Singh Rajshree , Raynor William Y. , Hess Soren , Werner Thomas J. , Alavi Abass , Revheim Mona-Elisabeth 
Published: January 2024

AbstractRheumatoid Arthritis (RA) is a systemic inflammatory disorder that commonly presents with polyarthritis but can have multisystemic involvement and complications, leading to increased morbidity and mortality. The diagnosis of RA continues to be challenging due to its varied clinical presentations. In this review article, we aim to determine the potential of PET/CT to assist in the diagnosis of RA and its complications, evaluate the therapeutic response to treatment, and predict RA remission. PET/CT has increasingly been used in the last decade to diagnose, monitor treatment response, predict remissions, and diagnose subclinical complications in RA. PET imaging with [18F]-fluorodeoxyglucose ([18F]-FDG) is the most commonly applied radiotracer in RA, but other tracers are also being studied. PET/CT with [18F]-FDG, [18F]-NaF, and other tracers might lead to early identification of RA and timely evidence-based clinical management, decreasing morbidity and mortality. Although PET/CT has been evolving as a promising tool for evaluating and managing RA, more evidence is required before incorporating PET/CT in the standard clinical management of RA.
Comprehensive Analysis of Cotton Fiber Infrared Maturity Distribution and Its Relation to Fiber HVI and AFIS Properties
Authors: Liu Yongliang , Chang Sechin 
Published: January 2024

AbstractCotton fiber maturity has been reported as average maturity and maturity distribution in a sample, through measuring the fibers in the way of either an individual fiber cross-section or a longitude of several subsamples by cross-sectional image analysis (IA), advanced fiber information system (AFIS), and Cottonscope method. As a different approach, attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy was proposed to estimate fiber maturity (MIR) and maturity distribution at a bundle fiber level on the basis of three MIR (low-, mid-, and high) classifications. Although maturity distributions from IA, AFIS, or Cottonscope measurement are reported, they are not related with high-volume instrument (HVI) and AFIS qualities considerably. Novelty of this study examined the effect of individual three MIR indices and additional MIR differentials on HVI and AFIS qualities in commercial cotton fibers. There were statistically significant and moderate-to-strong correlations between the MIR indices and fiber maturity and fineness measurements, and also moderate correlations between the MIR indices and other fiber qualities (for example, HVI strength). In particular, there was a moderate correlation between MIR readings and one fiber length parameter [AFIS L(n)] or two short fiber content (SFC) properties [AFIS SFC(w) and AFIS SFC(n)]. Meanwhile, MIR differential (D3) was observed to be correlated with HVI strength significantly and strongly. The result indicated the capability of ATR FT-IR spectroscopy for monitoring fiber maturity distribution in commercial cotton fibers and further in understanding fiber quality measurement.