bluuebunny/crossref_metadata_2025_split huggingface dataset:
Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma
Authors: Shang Youlan , Chen Weidao , Li Ge , Huang Yijie , Wang Yisong , Kui Xiaoyan , Li Ming , Zheng Hairong , Zhao Wei , Liu Jun 
Published: September 2023

Abstract
Objective
To investigate the value of Computed Tomography (CT) radiomics derived from different peritumoral volumes of interest (VOIs) in predicting epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma patients.

Materials and methods
A retrospective cohort of 779 patients who had pathologically confirmed lung adenocarcinoma were enrolled. 640 patients were randomly divided into a training set, a validation set, and an internal testing set (3:1:1), and the remaining 139 patients were defined as an external testing set. The intratumoral VOI (VOI_I) was manually delineated on the thin-slice CT images, and seven peritumoral VOIs (VOI_P) were automatically generated with 1, 2, 3, 4, 5, 10, and 15 mm expansion along the VOI_I. 1454 radiomic features were extracted from each VOI. The t-test, the least absolute shrinkage and selection operator (LASSO), and the minimum redundancy maximum relevance (mRMR) algorithm were used for feature selection, followed by the construction of radiomics models (VOI_I model, VOI_P model and combined model). The performance of the models were evaluated by the area under the curve (AUC).

Results
399 patients were classified as EGFR mutant (EGFR+), while 380 were wild-type (EGFR−). In the training and validation sets, internal and external testing sets, VOI4 (intratumoral and peritumoral 4 mm) model achieved the best predictive performance, with AUCs of 0.877, 0.727, and 0.701, respectively, outperforming the VOI_I model (AUCs of 0.728, 0.698, and 0.653, respectively).

Conclusions
Radiomics extracted from peritumoral region can add extra value in predicting EGFR mutation status of lung adenocarcinoma patients, with the optimal peritumoral range of 4 mm.
Endogeneity of marketing variables in multicategory choice models
Authors: Hruschka Harald 
Published: September 2023

AbstractA regressor is endogenous if it is correlated with the unobserved residual of a model. Ignoring endogeneity may lead to biased coefficients. We deal with the omitted variable bias that arises if firms set marketing variables considering factors (demand shocks) that researchers do not observe. Whereas publications on sales response or brand choice models frequently take the potential endogeneity of marketing variables into account, multicategory choice models provide a different picture. To consider endogeneity in multicategory choice models, we follow a two-step Gaussian copula approach. The first step corresponds to an individual-level random coefficient version of the multivariate logit model. We analyze yearly shopping data for one specific grocery store, referring to 29 product categories. If the assumption of a Gaussian correlation structure is met, the copula approach indicates the endogeneity of a category-specific marketing variable in about 31% of the categories. The majority of marketing variables rated as endogenous are positively correlated with the omitted variable, implying that ignoring endogeneity leads to an overestimation of the coefficients of the respective marketing variable. Finally, we investigate whether taking endogeneity into account by the copula approach leads to different managerial implications. In this regard, we demonstrate that for our data ignoring endogeneity often suggests a level of marketing activity that is too high.
Production of Metallic Tungsten and Tungsten Carbide from Natural Wolframite and Scheelite via Sulfide Chemistry
Authors: Boury Charles , Green Sierra R. , Allanore Antoine 
Published: September 2023

AbstractThe development of sulfide-based chemistry and physical separation in the last decade opens new processes to produce metals at the industrial scale. Herein, a new route to produce metallic tungsten and tungsten carbides particles from natural wolframite (Fe,Mn)WO4 and scheelite CaWO4 is presented. Sulfidation of mineral concentrates breaks the tungstate crystal structure into a mix of sulfides, in particular tungsten disulfide WS2. The thermal instability of WS2 at high temperature allows for its subsequent, selective, thermal reduction to tungsten particles at around 1500 °C. Similar thermal reduction in the presence of carbon result in the production of tungsten carbides, WC and W2C, obtained at around 1250 °C. The other major components of the sulfidized concentrate remain un-reduced under the proposed conditions, demonstrating selective reduction of WS2 as a possible new route for W recovery. Similar findings are reported for the carburization of WS2.
When and how should low acyl gellan gum be added to the protein blends to improve meat analogue texture?
Authors: Dinani Somayeh Taghian , Broekema Nicole Louise , Boom Remko Marcel , van der Goot Atze Jan 
Published: September 2023

AbstractThe addition of hydrocolloids to protein blends may improve the formation of structure of products formed upon heating and shearing, and thus could be valuable in developing better meat analogues. In this study, the effects of adding one particular hydrocolloid, and the use of calcium chloride (CaCl2) as a solidifying agent were evaluated on the macrostructure, microstructure, and the mechanical properties of pea protein isolate (PPI) and wheat gluten blends (WG) (ratio 1:1, 40 wt%), when using shearing and heating as formation process. The addition of low acyl gellan gum was shown to result in better internal structure, such as oriented fibrousness, but only when the low acyl gellan gum was added together with the WG after first allowing hydration of the PPI in a CaCl2 solution. The material was markedly stronger and tougher both parallel and perpendicular to the shearing direction. The influence of the sequence of addition indicates that the interactions between the different components before and during heating and shearing are non-equilibrium and that therefore the preparation procedure of the initial dough is just as important as the composition and the settings of the heating and shearing process itself.
Comparison of the effects of extraction method and solvents on biological activities of phytochemicals from selected violet and blue pigmented flowers
Authors: Żbik Klara , Onopiuk Anna , Szpicer Arkadiusz , Kurek Marcin 
Published: September 2023

AbstractThe flowers of many plant species are characterized by intense color and richness of bioactive compounds. They can be their valuable and curious sources that are worth extracting with the highest possible efficiency. The study compares the effects of different extraction methods and ultrasound (US) treatment on the physicochemical properties of dried petals of Malva sylvestris (MS), Clitoria ternatea (CT), Centaurea cyanus (CC), and Trifolium pratense (TP). The petals were ground and then extracted by three methods: (1) with H2O, (2) with 70% methanol, (3) with 70% methanol + acetic acid solvents, additionally used US. Measured: color parameters in CIEL*a*b* system; total antioxidant activity (TAA) referred to the 1,1-diphenyl-2-picrylhydrazyl (DPPH) and 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radicals activity; total phenolic content (TPC) by the Folin-Ciocâlteu method; total anthocyanin content (TAC) by the pH differential method. No specific differences in color parameters founded. The highest TAA (in % of DPPH reductive- MS: 87.86; CT: 62.56; CC: 72.04; TP: 82.99), TPC (in mg gallic acid equivalent/100 g of sample- MS: 1072.86; CT: 849.85; CC: 912.07; TP: 873.77), and TAC (in mg of cyanidin-3-glucoside/100 g of sample- MS: 747.79; CT: 226.46; CC: 267.53; TP: 234.77) was reached by method (3). US treatment increased the effect.
Long-Term Results of Laparoscopic Sleeve Gastrectomy: a Review of Studies Reporting 10+ Years Outcomes
Authors: Vitiello Antonio , Abu-Abeid Adam , Dayan Danit , Berardi Giovanna , Musella Mario 
Published: September 2023

Abstract
Laparoscopic sleeve gastrectomy (LSG) is the most commonly performed bariatric procedure worldwide. Systematic search of Pubmed, Cochrane, and Embase was performed in order to find all the articles reporting 10+ years of LSG results. Eleven studies including 1020 patients met the inclusion criteria. Overall weighted mean %TWL was 24.4% (17–36.9%), and remission rates from TD2M to HTN were 45.6% (0–94.7%) and 41.4% (0–78.4%), respectively. De novo GERD had an overall prevalence of 32.3% (21.4–58.4%), and five cases (0.5%) of Barrett’s disease were reported. Revisional surgery was required for 19.2% (1–49.5%) of patients, Roux-en-Y gastric bypass being the most common secondary procedure.
A Multi-Yield-Surface Plasticity State-Based Peridynamics Model and its Applications to Simulations of Ice-Structure Interactions
Authors: Song Ying , Zhang Luwen , Li Shaofan , Li Yunbo 
Published: September 2023

AbstractDue to complex mesoscopic and the distinct macroscopic evolution characteristics of ice, especially for its brittle-to-ductile transition in dynamic response, it is still a challenging task to build an accurate ice constitutive model to predict ice loads during ship-ice collision. To address this, we incorporate the conventional multi-yield-surface plasticity model with the state-based peridynamics to simulate the stress and crack formation of ice under impact. Additionally, we take into account of the effects of inhomogeneous temperature distribution, strain rate, and pressure sensitivity. By doing so, we can successfully predict material failure of isotropic freshwater ice,iceberg ice, and columnar saline ice. Particularly, the proposed ice constitutive model is validated through several benchmark tests, and proved its applicability to model ice fragmentation under impacts, including drop tower tests and ballistic problems. Our results show that the proposed approach provides good computational performance to simulate ship-ice collision.
Scale Effect of a Kappel Tip-Rake Propeller
Authors: Chen Chen-Wei , Chen Xupeng , Zhou Zhaoye , Chen Liwan 
Published: September 2023

AbstractIn this paper, the scale effect of Kappel tip-rake propellers with different end plate designs was studied using computational fluid dynamics. Given the base size of the mesh and the appropriate numerical model for the determined simulation, the open-water performance of three Kappel propellers with different bending degrees of the end plate at different scales was calculated. Comparing the scale effect of these propellers, the scale effect of the torque coefficient of a Kappel propeller is more intense than that of the conventional propeller. In addition, the scale effect of the torque coefficient is strong when the bending degree of the end plate increases, dwarfing the scale effect on the thrust coefficient. Following the research on the scale effect of the wake field for the Kappel propeller, the laws that reveal the influence of the scale on the wake field were summarized; that is, the high-speed zone in the wake relatively expands with the increase of the scale in company with a trend of tip cross flow. The research reveals the basic variation trend and rule of the open-water performance and wake distribution for the Kappel propeller under different scales within the Reynolds number range of 4.665×105−8.666×107 considering γ transition, as well as the characteristic differences between the Kappel propellers with different end plate designs, which will be of great significance to its optimization design and application to marine vehicles of different scales.
Low-cost fabrication and physicochemical characterization of ZnFe2O4 nanoparticles as an efficient multifunctional inorganic pigment
Authors: Sayed Mostafa A. , Abdelmaksoud W. M. A. , Teleb Said M. , El-Din Adel M. , Abo-Aly Mohamed M. 
Published: September 2023

AbstractThe pursuit of low-cost manufacturing of newly effective pigments is a pressing economic need. Thus, in this work, low-cost ZnFe2O4 spinel nanoparticles (ZF-NPs) with an average diameter of 20 nm were successfully synthesized using a simple sol–gel method, which can be extended for large-scale fabrication of a reddish nano pigment. TGA/DTA, XRD, DRS, HRTEM, and SEM/EDX investigations were used to characterize the as-prepared product. The color of synthesized NPs was studied using CIE L*a*b* colorimetric method with color coordinates of L* = 41.7, a* = 72.2, and b* = 48.8. The newly developed pigment was examined to be superior to the traditional pigment (M6001/Fe2O3: L* = 30.4, a* = 42.16, and b* = 45.7). After that, the synthesized nano pigment was integrated into both ink and paint formulations as a multifunctional coating. The inclusion of synthesized nano pigment in metal coating printing ink formulation was done to produce a good alternative and cost-effective substitute for the commercially available pigment used in the inks industry. Also, the effect of the fabricated nanoparticles on corrosion resistance and thermal stability of epoxy-based paint formulations was evaluated using different standard tests. Therefore, the ZnFe2O4 pigment should be applied as a highly efficient inorganic nano pigment.
Automated volumetric assessment of pituitary adenoma
Authors: Da Mutten Raffaele , Zanier Olivier , Ciobanu-Caraus Olga , Voglis Stefanos , Hugelshofer Michael , Pangalu Athina , Regli Luca , Serra Carlo , Staartjes Victor E. 
Published: September 2023

Abstract
Purpose
Assessment of pituitary adenoma (PA) volume and extent of resection (EOR) through manual segmentation is time-consuming and likely suffers from poor interrater agreement, especially postoperatively. Automated tumor segmentation and volumetry by use of deep learning techniques may provide more objective and quick volumetry.

Methods
We developed an automated volumetry pipeline for pituitary adenoma. Preoperative and three-month postoperative T1-weighted, contrast-enhanced magnetic resonance imaging (MRI) with manual segmentations were used for model training. After adequate preprocessing, an ensemble of convolutional neural networks (CNNs) was trained and validated for preoperative and postoperative automated segmentation of tumor tissue. Generalization was evaluated on a separate holdout set.

Results
In total, 193 image sets were used for training and 20 were held out for validation. At validation using the holdout set, our models (preoperative / postoperative) demonstrated a median Dice score of 0.71 (0.27) / 0 (0), a mean Jaccard score of 0.53 ± 0.21/0.030 ± 0.085 and a mean 95th percentile Hausdorff distance of 3.89 ± 1.96./12.199 ± 6.684. Pearson’s correlation coefficient for volume correlation was 0.85 / 0.22 and −0.14 for extent of resection. Gross total resection was detected with a sensitivity of 66.67% and specificity of 36.36%.

Conclusions
Our volumetry pipeline demonstrated its ability to accurately segment pituitary adenomas. This is highly valuable for lesion detection and evaluation of progression of pituitary incidentalomas. Postoperatively, however, objective and precise detection of residual tumor remains less successful. Larger datasets, more diverse data, and more elaborate modeling could potentially improve performance.
On increasing the contribution of locally produced fresh foods to school meals in the Caribbean
Authors: Fair Oacia , Hickey Gordon M. , Ville Arlette Saint , Phillip Leroy E. 
Published: September 2023

AbstractThe rising prevalence of childhood overweight and obesity within the Caribbean is a major public health and policy concern because obese children are at risk of developing non-communicable diseases (NCDs) later in life. Throughout the Caribbean Community (CARICOM), children are consuming unhealthy diets, characterized by energy-dense, processed and ultra-processed foods, sugar sweetened beverages, and limited quantities of fruits and vegetables. Community-based school meal programmes (SMPs) have been identified as useful vehicles to address unhealthy eating among children, and “farm-to-school” approaches have the potential to increase the availability of locally grown nutritious produce, while supporting local agriculture and reducing the region’s reliance on food imports. This paper seeks to better understand the barriers to enhancing community-based school feeding value-chains in the CARICOM, by focusing on the Eastern Caribbean Island of Nevis where there is an interest in developing farm-to-school value chains. Using key informant interviews combined with focus groups with actors along the local food value chain, we identify the following barriers to an effective community-based SMP: a lack of communication and an absence of contractual agreements between local farmers and the SMP administration; generally low levels of child acceptance of school meals containing fresh vegetables; and limited intersectoral coordination and collaboration among SMP stakeholders and local farmers. Using social network analysis, we further discuss limitations in group organization and coordination among local farmers and opportunities for SMP improvement. The results point to the need for more integrative public policy development and greater community engagement to coordinate and strengthen the farm-to school approach to school feeding.
Text mining of veterinary forums for epidemiological surveillance supplementation
Authors: Munaf Samuel , Swingler Kevin , Brülisauer Franz , O’Hare Anthony , Gunn George , Reeves Aaron 
Published: September 2023

AbstractWeb scraping and text mining are popular computer science methods deployed by public health researchers to augment traditional epidemiological surveillance. However, within veterinary disease surveillance, such techniques are still in the early stages of development and have not yet been fully utilised. This study presents an exploration into the utility of incorporating internet-based data to better understand smallholder farming communities within the UK, by using online text extraction and the subsequent mining of this data. Web scraping of the livestock fora was conducted, with text mining and topic modelling of data in search of common themes, words, and topics found within the text, in addition to temporal analysis through anomaly detection. Results revealed that some of the key areas in pig forum discussions included identification, age management, containment, and breeding and weaning practices. In discussions about poultry farming, a preference for free-range practices was expressed, along with a focus on feeding practices and addressing red mite infestations. Temporal topic modelling revealed an increase in conversations around pig containment and care, as well as poultry equipment maintenance. Moreover, anomaly detection was discovered to be particularly effective for tracking unusual spikes in forum activity, which may suggest new concerns or trends. Internet data can be a very effective tool in aiding traditional veterinary surveillance methods, but the requirement for human validation of said data is crucial. This opens avenues of research via the incorporation of other dynamic social media data, namely Twitter, in addition to location analysis to highlight spatial patterns.
Selecting an appropriate machine-learning model for perovskite solar cell datasets
Authors: Salah Mohamed M. , Ismail Zahraa , Abdellatif Sameh 
Published: September 2023

AbstractUtilizing artificial intelligent based algorithms in solving engineering problems is widely spread nowadays. Herein, this study provides a comprehensive and insightful analysis of the application of machine learning (ML) models to complex datasets in the field of solar cell power conversion efficiency (PCE). Mainly, perovskite solar cells generate three datasets, varying dataset size and complexity. Various popular regression models and hyperparameter tuning techniques are studied to guide researchers and practitioners looking to leverage machine learning methods for their data-driven projects. Specifically, four ML models were investigated; random forest (RF), gradient boosting (GBR), K-nearest neighbors (KNN), and linear regression (LR), while monitoring the ML model accuracy, complexity, computational cost, and time as evaluating parameters. Inputs' importance and contribution were examined for the three datasets, recording a dominating effect for the electron transport layer's (ETL) doping as the main controlling parameter in tuning the cell's overall PCE. For the first dataset, ETL doping recorded 93.6%, as the main contributor to the cell PCE, reducing to 79.0% in the third dataset.
Evaluation of the antibacterial activity of cinnamon essential oil and its individual compounds on Aggregatibacter actinomycetemcomitans isolated from black extrinsic tooth stain: an in vitro study
Authors: Lotfy W. A. , Matar M. A. , Alkersh B. M. 
Published: September 2023

Abstract
Aim
Black extrinsic tooth stain (BETS) is a health challenge that commonly affects children. Aggregatibacter actinomycetemcomitans (Aa) presents in higher prevalence within the polymicrobial community of BETS. In this study, the anti-planktonic and anti-sessile activities of cinnamon essential oil (CEO) and its individual compounds against Aa were evaluated. The preventive effect of CEO and its active substances on BETS formation was also studied in vitro.

Methods
Aa was isolated from a preschool child with BETS and was identified based on the morphological characteristics, MALDI-TOF mass spectroscopy and 16S rRNA sequencing. The effect of CEO and its individual compounds on the growth kinetics of planktonic and sessile Aa cells as well as their antibacterial efficacy and their rate of bacterial killing were examined. The preventive effect of CEO and its active substances on the formation of BETS was evaluated using an ex vivo model. The data were analysed using one-way analysis of variance (ANOVA) and the significance level was set at p < 0.05.

Results
Out of eight individual compounds of CEO, only eugenol, cinnamaldehyde and α-methyl cinnamaldehyde showed anti-Aa activities. The values of the minimum inhibitory concentrations (MICs) were in the following order: CEO (421.5 mg/ml) > α-methyl cinnamaldehyde (26.37 mg/ml) > cinnamaldehyde (0.209 mg/ml) > eugenol (0.052 mg/ml). CEO, eugenol, cinnamaldehyde and α-methyl cinnamaldehyde, respectively, exhibited two-, four-, four- and eightfold increase of sessile MIC compared to their planktonic MIC. The growth kinetics of both planktonic and sessile Aa in the presence of CEO, eugenol, cinnamaldehyde and α-methyl cinnamaldehyde revealed a complete inhibition at the MICs and 5.3%–37.4% biofilm inhibition at sub-MICs. The time-killing study demonstrated that CEO, eugenol and cinnamaldehyde were capable of reducing the survival rate of both planktonic and sessile Aa cells after 15–20 and 25–30 min, respectively. However, α-methyl cinnamaldehyde showed a superior anti-planktonic to anti-biofilm activity. The daily incorporation of CEO, eugenol and cinnamaldehyde at their MICs for 14 days totally prevented the formation of BETS in the ex vivo model; however, in the case of α-methyl cinnamaldehyde, BETS was visually detectable after 10 days.

Conclusion
CEO and its individual compounds have marked antibacterial activity against Aa. The effective results against planktonic and sessile Aa within reasonable time indicate that they can be used to prevent BETS.