bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioremoval of heavy metals from aqueous solution using dead biomass of indigenous fungi derived from fertilizer industry effluents: isotherm models evaluation and batch optimization
Authors: El-Gendy Mervat Morsy Abass Ahmed , Abdel-Moniem Shimaa M. , Ammar Nabila S. , El-Bondkly Ahmed Mohamed Ahmed 
Published: July 2023

AbstractThe present work investigated the utilization of dead biomass of the highly multi-heavy metals tolerant indigenous fungal strain NRCA8 isolated from the mycobiome of fertilizer industry effluents that containing multiple heavy metal ions at high levels to remove Pb2+, Ni2+, Zn2+, and Mn2+ as multiple solutes from multi-metals aqueous solutions for the first time. Based on morphotype, lipotype and genotype characteristics, NRCA8 was identified as Cladosporium sp. NRCA8. The optimal conditions for the bioremoval procedure in the batch system were pH 5.5 for maximum removal (91.30%, 43.25%, and 41.50%) of Pb2+, Zn2+ and Mn2+ but pH 6.0 supported the maximum bioremoval and uptake of Ni2+ (51.60% and 2.42 mg/g) by NRCA8 dead biomass from the multi-metals aqueous solution, respectively. The 30 min run time supported the highest removal efficiency and uptake capacity of all heavy metals under study. Moreover, the equilibrium between the sorbent NRCA8 fungal biomass and sorbates Ni2+, Pb2+ and Zn2+ was attained after increasing the dead biomass dose to 5.0 g/L. Dead NRCA8 biomass was described by scanning electron microscopy, energy-dispersive X-ray spectroscopy and Fourier transform infrared spectrometer before and after biosorption of Pb2+, Ni2+, Zn2+ and Mn2+ under multiple metals system. The Langmuir, Freundlich and Dubinin-Kaganer-Radushkevich isotherms were applied to characterize the adsorption equilibrium between Pb2+, Ni2+, Mn2+ and Zn2+ and the adsorbent NRCA8. By comparing the obtained coefficient of regression (R2) by Freundlich (0.997, 0.723, 0.999, and 0.917), Langmiur (0.974, 0.999, 0.974, and 0.911) and Dubinin-Radushkevich (0.9995, 0.756, 0.9996 and 0.900) isotherms values for Pb2+, Zn2+, Ni2+ and Mn2+ adsorption, respectively, it was found that the isotherms are proper in their own merits in characterization the possible of NRCA8 for removal of Pb2+, Zn2+, Ni2+ and Mn2+. DKR isotherm is the best for Pb2+ and Ni2+ (0.9995 and 0.9996) while Langmiur isotherm giving a good fit to the Zn2+ sorption (0.9990) as well as Freundlich isotherm giving a good fit to the Mn2+ sorption (0.9170). The efficiencies of Cladosporium sp. NRCA8 dead biomass for bioremoval of heavy metals from real wastewater under the optimized conditions were Pb2+, Ag+, Mn2+, Zn2+ and Al3+ ˃ Ni2+ ˃ Cr6+ ˃ Co2+ ˃ Fe3+ ˃ Cu2+ ˃ Cd2+. Dead NRCA8 biomass showed efficient ability to adsorb and reduce harmful components in the industrial effluents to a level acceptable for discharge into the environment.
Improved numerical predictions of inclined negatively buoyant jet behaviour
Authors: Law Shuen , Davidson Mark J. , McConnochie Craig , Lagrava Daniel 
Published: July 2023

AbstractThe results of numerical simulations of inclined negatively buoyant jets are presented. These simulations address previously highlighted difficulties in capturing sufficient detail of critical flow processes to effectively predict the detailed flow behaviour. In particular, the new simulations are able to accurately capture the details of the buoyancy-induced instabilities, which are clearly evident in associated experimental investigations and that have significant impacts on the flow behaviour. This new information is captured for inclined negatively buoyant jets discharged at 45° above a horizontal reference plane. A Large Eddy Simulation (LES) approach is implemented that makes use of a Lagrangian Dynamic Sub-grid scale (SGS) model and a novel criterion for the adaptive meshing system. Comparisons with previously published simulation results and experimental data demonstrate that these new Adaptive LES simulations provide improved predictions of flow path, concentration and velocity fields, and associated mean and turbulent statistics. In addition, this study provides a set of methods for generating high-quality LES data sets for free shear flows, which are well beyond the level of detail that can be captured by current experimental systems.
The essential work of fracture in peridynamics
Authors: Stenström Christer , Eriksson Kjell , Bobaru Florin , Golling Stefan , Jonsén Pär 
Published: July 2023

AbstractIn this work, the essential work of fracture (EWF) method is introduced for a peridynamic (PD) material model to characterize fracture toughness of ductile materials. First, an analytical derivation for the path-independence of the PD J-integral is provided. Thereafter, the classical J-integral and PD J-integral are computed on a number of analytical crack problems, for subsequent investigation on how it performs under large scale yielding of thin sheets. To represent a highly nonlinear elastic behavior, a new adaptive bond stiffness calibration and a modified bond-damage model with gradual softening are proposed. The model is employed for two different materials: a lower-ductility bainitic-martensitic steel and a higher-ductility bainitic steel. Up to the start of the softening phase, the PD model recovers the experimentally obtained stress–strain response of both materials. Due to the high failure sensitivity on the presence of defects for the lower-ductility material, the PD model could not recover the experimentally obtained EWF values. For the higher-ductility bainitic material, the PD model was able to match very well the experimentally obtained EWF values. Moreover, the J-integral value obtained from the PD model, at the absolute maximum specimen load, matched the corresponding EWF value.
N2O emission factors for cattle urine: effect of patch characteristics and environmental drivers
Authors: Barczyk Lena , Kuntu-Blankson Kate , Calanca Pierluigi , Six Johan , Ammann Christof 
Published: July 2023

AbstractUrine patches from grazing cattle are hotspots of nitrous oxide (N2O) emissions. The default IPCC emission factor for urine patches (EFurine) is 0.77% for wet climates and 0.32% for dry climates. However, literature reports a considerable range of cattle urine EF values and urine characteristics used in experimental studies, revealing contrary results on the effects of urine patch characteristics and seasonal pattern. Therefore, we examined N2O emissions and corresponding EFurine values in relation to urine patch characteristics (urine N concentration, urine volume, patch area, urine composition) and environmental drivers (precipitation, water filled pore space, soil temperature). Ten artificial urine application experiments were performed from July 2020 to June 2022 on a pasture located in Eastern Switzerland. Urine N concentration, patch area, volume and urine N composition showed no significant effects on the EFurine value (p > 0.05). EFurine varied, however, strongly over time (0.17–2.05%). A large part of the variation could be predicted either by cumulative precipitation 20 days after urine application using a second order polynomial model (Adj. R2 = 0.60) or average WFPS 30 days after urine application using a linear model (Adj. R2 = 0.45). The derived precipitation model was used to simulate EFurine weekly over the last 20 years showing no significant differences between the seasons of a year. The resulting overall average EFurine was 0.67%. More field studies are needed across sites/regions differing in climate and soil properties to implement a country-specific EF3 for Switzerland and to improve the quantification of N2O emissions at the national scales.
The large Hellenic Study of Uveitis: epidemiology, etiologic factors and classification
Authors: Kalogeropoulos Dimitrios , Asproudis Ioannis , Stefaniotou Maria , Moschos Marilita M. , Kozobolis Vassilios P. , Voulgari Paraskevi V. , Katsanos Andreas , Gartzonika Constantina , Kalogeropoulos Chris 
Published: July 2023

Abstract
Purpose
To analyse the demography, etiology, and classification of uveitis at a tertiary academic referral center.

Methods
An observational study was conducted on the archives of uveitic patients at the Ocular Inflammation Service of the Department of Ophthalmology at the University Hospital of Ioannina (Greece) from 1991 to 2020. This study aimed to investigate the epidemiological profile of patients, including their demographics and the main etiologic factors of uveitis.

Results
Out of 6191 cases with uveitis, 1925 were infectious, 4125 were non-infectious, and an overall of 141 masquerade syndromes were recorded. Among these cases, 5950 patients were adults, with a slight female predominance, while 241 were children (< 18 years old). Interestingly, 24.2% of cases (1500 patients) were associated with 4 specific microorganisms. Herpetic uveitis (HSV-1 and VZV/HZV) was the most common cause of infectious uveitis (14.87%), followed by toxoplasmosis (6.6%) and tuberculosis (2.74%). In 49.2% of non-infectious uveitis cases, no systematic correlation was found. The most frequent causes of non-infectious uveitis included sarcoidosis, white dot syndromes, ankylosing spondylitis, lens-induced uveitis, Adamantiades-Behçet disease, and idiopathic juvenile arthritis. Infectious uveitis was more common in the rural population, whereas non-infectious uveitis was more frequently recorded in the urban population

Conclusions
Although our study was conducted on a predominantly white Caucasian population, it also reflects the effect of increasing immigration, improvements of diagnostic techniques, changes in referral patterns, and various actual changes in disease incidence.
Comparing performance between clinics of an embryo evaluation algorithm based on time-lapse images and machine learning
Authors: Johansen Martin N. , Parner Erik T. , Kragh Mikkel F. , Kato Keiichi , Ueno Satoshi , Palm Stefan , Kernbach Manuel , Balaban Başak , Keleş İpek , Gabrielsen Anette V. , Iversen Lea H. , Berntsen Jørgen 
Published: July 2023

Abstract
Purpose
This article aims to assess how differences in maternal age distributions between IVF clinics affect the performance of an artificial intelligence model for embryo viability prediction and proposes a method to account for such differences.

Methods
Using retrospectively collected data from 4805 fresh and frozen single blastocyst transfers of embryos incubated for 5 to 6 days, the discriminative performance was assessed based on fetal heartbeat outcomes. The data was collected from 4 clinics, and the discrimination was measured in terms of the area under ROC curves (AUC) for each clinic. To account for the different age distributions between clinics, a method for age-standardizing the AUCs was developed in which the clinic-specific AUCs were standardized using weights for each embryo according to the relative frequency of the maternal age in the relevant clinic compared to the age distribution in a common reference population.

Results
There was substantial variation in the clinic-specific AUCs with estimates ranging from 0.58 to 0.69 before standardization. The age-standardization of the AUCs reduced the between-clinic variance by 16%. Most notably, three of the clinics had quite similar AUCs after standardization, while the last clinic had a markedly lower AUC both with and without standardization.

Conclusion
The method of using age-standardization of the AUCs that is proposed in this article mitigates some of the variability between clinics. This enables a comparison of clinic-specific AUCs where the difference in age distributions is accounted for.
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital
Authors: Álvarez-Chaves Hugo , Muñoz Pablo , R-Moreno María D. 
Published: July 2023

AbstractHospitals’ Emergency Departments (ED) have a great relevance in the health of the population. Properly managing the ED department requires to optimise the service, while maintaining a high quality care. This trade-off implies to properly arrange the schedule for the personnel, so the service can duly attend all patients. In this regard, a key point is to know in advance how many patients will arrive to the service and the number that should be derived to hospitalisation. To provide such information, we present the results of applying different algorithms for forecasting ED admissions and hospitalisations for both seven days and four months ahead. To do this, we have employed the ED admissions and inpatients series from a Spanish civil and military hospital. The ED admissions have been aggregated on a daily basis and on the official workers’ shifts, while the hospitalisations series have been considered daily. Over that data we employ two algorithms types: time series (AR, H-W, SARIMA and Prophet) and feature matrix (LR, EN, XGBoost and GLM). In addition, we create all possible ensembles among the models in order to find the best forecasting method. The findings of our study demonstrate that the ensembles can be beneficial in obtaining the best possible model.
Norms for the Dutch Version of the Young Schema Questionnaire – Adolescent in a Clinical Population
Authors: Sijstermans Dyonne M.L. , Span Marjolijn , Van Breukelen Gerard J.P. , Bol Yvonne , Braet Caroline , Roelofs Jeffrey 
Published: July 2023

AbstractThe Young Schema Questionnaire (YSQ; Young, 1994) is a widely used instrument to assess early maladaptive schemas in adults and older adolescents. Despite its widespread use, no norm data are available, making it difficult to evaluate when an individual’s YSQ score can be considered as elevated or high. Such norms can be useful for screening purposes such as to identify those at risk for psychopathology and providing early and appropriate interventions. The aim of our study was to norm the five schema domains of the Dutch adolescent version of the Young Schema Questionnaire (YSQ-A: Van Vlierberghe et al., 2004). In addition to providing norm data for clinical practice, we also show the process of obtaining reliable and valid norm data with state-of-the-art regression analysis which does not necessarily require splitting the norm sample into subgroup by sex or age, yet does take these variables into account in obtaining norms.
Machine Learning Prediction Models to Reduce Length of Stay at Ambulatory Surgery Centers Through Case Resequencing
Authors: Tully Jeffrey L. , Zhong William , Simpson Sierra , Curran Brian P. , Macias Alvaro A. , Waterman Ruth S. , Gabriel Rodney A. 
Published: July 2023

AbstractThe post-anesthesia care unit (PACU) length of stay is an important perioperative efficiency metric. The aim of this study was to develop machine learning models to predict ambulatory surgery patients at risk for prolonged PACU length of stay - using only pre-operatively identified factors - and then to simulate the effectiveness in reducing the need for after-hours PACU staffing. Several machine learning classifier models were built to predict prolonged PACU length of stay (defined as PACU stay ≥ 3 hours) on a training set. A case resequencing exercise was then performed on the test set, in which historic cases were re-sequenced based on the predicted risk for prolonged PACU length of stay. The frequency of patients remaining in the PACU after-hours (≥ 7:00 pm) were compared between the simulated operating days versus actual operating room days. There were 10,928 ambulatory surgical patients included in the analysis, of which 580 (5.31%) had a PACU length of stay ≥ 3 hours. XGBoost with SMOTE performed the best (AUC = 0.712). The case resequencing exercise utilizing the XGBoost model resulted in an over three-fold improvement in the number of days in which patients would be in the PACU past 7pm as compared with historic performance (41% versus 12%, P<0.0001). Predictive models using preoperative patient characteristics may allow for optimized case sequencing, which may mitigate the effects of prolonged PACU lengths of stay on after-hours staffing utilization.
Pentaerythritol and Glycerol Esters Derived from Gum Rosin as Bio-Based Additives for the Improvement of Processability and Thermal Stability of Polylactic Acid
Authors: de la Rosa-Ramírez Harrison , Dominici Franco , Ferri José Miguel , Luzi Francesca , Puglia Debora , Torre Luigi , López-Martínez Juan , Samper María Dolores 
Published: July 2023

AbstractGum rosin esters are some of the most common gum rosin derivatives used in different applications, such as coatings, paper, varnishes, chewing gum, and food industries. In this study, gum rosin esters are used as additives for polylactic acid (PLA) to improve its processability and thermal stability. Blends of an amorphous PLA with two different gum rosin esters, pentaerythritol ester and glycerol ester, were prepared by melt extrusion process in concentrations from 1, 3, and 5 phr. Besides the comparison of thermal degradation, microstructure assessment, and melt flow index (MFI) analysis, the processability performance during testing samples production by injection molding process was evaluated. Experimental results showed that MFI values of PLA-gum rosin ester blends increased by 100%, 147%, and 164%, along with increasing content of gum rosin esters addition, in both cases. Also, both derivatives slightly improved PLA thermal stability (around 3ºC higher). Injection molding temperature decreased by at least 20 °C for PLA-gum rosin ester blends compared with neat PLA. Furthermore, the maximum tensile strength of PLA-gum rosin esters was negligibly affected in formulations with low content of gum rosin esters, and the FESEM images revealed a good dispersion and compatibility of gum rosin ester particles into PLA matrix in both concentrations.
A Comprehensive Analysis on Nutritional and Antioxidant Characteristics of a Traditional Roasted Maize Flour (Furniko) of Pontic Greeks: Comparative Study to Related Flour Products
Authors: Keramaris Achillefs , Papadopoulos Vasileios , Kasapidou Eleni , Mitlianga Paraskevi 
Published: July 2023

AbstractFurniko flour (FF) is a traditional roasted flour derived from a maize landrace, commonly consumed by Greeks of Pontic origin in the northern regions of Greece. Despite its perceived nutritional benefits, there is a lack of scientific data to support and highlight its value. This study aimed to compare the nutritional, physicochemical, anti-nutritional, functional, and antioxidant characteristics of FF with those of traditional and non-traditional types of maize flour. Furniko flour (FF) presented the highest values for protein (10.86 ± 0.36 g/100 g), fat (5.05 ± 0.08 g/100 g), K (539.93 mg/100 g), Mg (126.38 mg/100 g), P (296.4 mg/100 g), Zn (2.44 mg/100 g), and total phenolic content (TPC) (156 mg GAE/100 g). However, FF exhibited lower levels of Fe (3.83 mg/100 g), carbohydrates (70.55 ± 0.24 g/100 g), and antioxidant activity (0.27 ± 0.02 µmol of TE/g) than other types of flour examined. Furniko’s functional properties make it an excellent source for porridges, while its low content of antinutrients reduces the possibility of low bioavailability of Fe, Zn, Mg, and Ca. Due to its significant and functional characteristics, Furniko flour could be considered an important material in the food industry, especially in bakery goods and health-oriented foods like energy bars, breakfast cereals, and gluten-free pasta. More research is needed, however, to thoroughly investigate its dietary potential and compatibility with other components.
Adolescent reading and math skills and self-concept beliefs as predictors of age 20 emotional well-being
Authors: Torppa Minna , Aro Tuija , Eklund Kenneth , Parrila Rauno , Eloranta Anna-Kaija , Ahonen Timo 
Published: July 2023

AbstractThis study examines longitudinal associations among reading skills, math skills and emotional well-being in a Finnish sample (n = 586) followed from the end of comprehensive school (Grade 9, age 15–16) to age 20. In particular, we determine whether the associations between skills and well-being are mediated by self-concept beliefs. In Grade 9, the participants’ reading fluency, PISA reading comprehension and math skills were assessed in classrooms, and questionnaires were used to assess self-concept (global and skill-specific) and internalising problems. At age 20, questionnaires were used to self-report emotional well-being and educational attainment. The results showed no direct predictive association between academic skills and age-20 emotional well-being, while indirect effects from academic skills on emotional well-being were found for reading skills through reading comprehension self-concept belief and educational attainment and for math skills through global self-concept belief. In addition, adolescent global self-concept and internalising problems predicted age-20 emotional well-being. The results suggest that adolescent self-concept beliefs and internalising problems, rather than academic skills per se, can predict emotional problems in young adulthood.
Translation of Old Polish Criminal Law Terminology into English and Korean in Adam Mickiewicz’s Epic Poem “Master Thaddeus, or the Last Foray in Lithuania: A Nobility’s Tale of the Years 1811–1812, in Twelve Books of Verse”
Authors: Matulewska Aleksandra , Oh Kyong-geun 
Published: July 2023

AbstractThe purpose of the paper is to analyse the translation into English and Korean of the old Polish criminal law terminology used by Adam Mickiewicz in his renown poem entitled “Master Thaddeus, or the Last Foray in Lithuania: A Nobility’s Tale of the Years 1811–1812, in Twelve Books of Verse” Mickiewicz (Pan Tadeusz czyli ostatni zjazd na Litwie. Historia szlachecka z roku 1811 i 1812 we dwunastu księgach wierszem). The research methods used encompass the analysis of parallel texts of the poem. The authors first selected the fragments of the poem containing criminal law terminology. Next analysed two translations into English (Biggs in Master Thaddeus, or the last Forey in Lithuania—by Adam Mickiewicz, an Historical epic poem in XII books, translated from the original by Biggs, with a Preface by W.R. Morfill, M.A. and Notes, by the translator and Edmond Naganowski, Trübner et Comp, London, 1885 and MacKenzie in Adam Mickiewicz. Pan Tadeusz or the Last Foray in Lithuania. A Tale of the Gentry in the Years 1811 and 1812 translated into English verse with Introduction by Kenneth R. Mackenzie, Polska Fundacja Kulturalna, Londyn, 1990) and one into Korean Cheong et al. (『판 타데우시』 [Pan Tadeusz] Hankuk University of Foreign Studies, Seoul, 2005). The findings reveal that the terminology under scrutiny in the majority of cases must be considered obsolete and legal system-bound. Mickiewicz (1834) referred to the laws binding Poles under the Third Lithuanian Statute (Wilno, 1774). Therefore, the translators had to face the challenge of deciphering the appropriate meanings and finding equivalents sufficiently conveying them.