bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of a mobile mammography unit. Concepts and randomized cluster trial protocol of a population health intervention research to reduce breast cancer screening inequalities
Authors: Guillaume Elodie , Rollet Quentin , Launay Ludivine , Beuriot Séverine , Dejardin Olivier , Notari Annick , Crevel Elodie , Benhammouda Ahmed , Verzeau Laurent , Quertier Marie-Christine , Launoy Guy 
Published: May 2022

Abstract
Background
Breast cancer is the first women cancer in incidence and mortality in France. Organized breast cancer screening (OBCS) has been implemented nationwide since 2004, but the participation rate remains low (48%) and inequities in participation were reported. Strategies as mobile mammography units could be effective to increase participation in OBCS and reduce inequities, especially in underserved areas in regard to this screening. Our main objective is to evaluate this device and to identify how to incorporate a mobile unit in the OBCS with a view to tackle territorial inequities in OBCS participation.
Methods
A collaborative project will be conducted as a randomized controlled cluster trial in 2022–2024, in remote areas of 4 French departments. Small geographic areas have been constructed by clustering women eligible to OBCS, according to distance to the nearest radiology centre, until an expected size of eligible women was reached, determined according to logistic constraints and respect of the economic model. Intervention areas were then selected by randomization in parallel group. The main intervention is to propose an appointment at the mobile unit in complement to the current OBCS in these remote areas according to the proportionate universalism principle. Few weeks before this intervention, local actors will carry out actions to promote OBCS with mobile unit specific information tools, applying multilevel, intersectoral and community empowerment principle of action to tackle inequalities.
Discussion
This randomized controlled trial will provide a high level of evidence in assessing the mobile unit effects on participation and inequities. Contextual elements interacting with intervention will be a key challenge in this evaluation and the quantitative approach will be completed by qualitative approaches within the RCT to provide elements of knowledge on the causal mechanisms that may modulate the effectiveness of the intervention and to define key elements of its transferability at a national level with the definition of new screening policy for tackle inequities.
Trial registration
Registered on ClinicalTrials.gov, December 21, 2021 : NCT05164874, https://clinicaltrials.gov/ct2/show/NCT05164874
Induction Motor Vector Control Drive with Enhancement Fractional-Order Sliding Mode Based on Rotor Flux Estimation
Authors: Dursun Mustafa 
Published: May 2022

Abstract
In many areas where variable frequency drive is needed, induction motors (IM) play an important role. It is therefore very important to properly control the speed using an induction motor. Three-phase asynchronous motors, especially squirrel-cage asynchronous motors, exhibit non-linear behavior in sudden changes and parameter changes in load and variable speed applications. Therefore, an advanced controller is needed to increase the asynchronous motor performance. This study, it is aimed to develop a Fractional Order Sliding Mode Control (FOSMC) rotor flux and speed controller-based system for a vector-controlled induction motor. The relevant models in this study are made using MATLAB/Simulink software tools. Thus, the performance analysis of the IM, sudden load change, variable reference speed conditions, and motor parameter changes are carried out with the developed controller, and the results were interpreted in detail. It has been seen that the intended method is quite durable under different operating conditions such as sudden load, reverse speed step response, reverse speed sine response, parameter change, compared to classical sliding mode (SM) and proportional-integral (PI) controller designs.
Hydrothermal Liquefaction of Sorghum Bagasse for Maximization of Bio-Crude using Homogeneous Catalyst (Na2CO3)
Authors: Kashimalla Monika , Polumati Anand 
Published: May 2022

Abstract
This work investigates the feasibility of hydrothermal liquefaction process for sysnthesis of biocrude to produce bio-oil from sorghum bagasse, in the presence of a homogenous catalyst and solvent. An extensive evaluation of potentially available sorghum bagasseis carried in the presence of a homogenous catalyst (sodium carbonate) and solvent to produce bio-oil. The optimal operating conditions in the ranges of temperature (220ºC-280ºC), reaction time (15-60min), biomass to water (1:10), biomass to catalyst (1:10%), biomass to glycerol (1:10) are choosen, for evaluating the process. The optimal conditions of temperature (260ºC) and residence time (60 minutes), biomass: water: glycerol ratio (1:5:5)have achieved a maximum yield of 52.16%. The bio crude oil when evaluated using various physio chemical chemical processes like elemental analysis indicted the presence of higher carbon, lower sulphur and nitrogen contents.The chemical composition of bio-oil when determined using CHNS, FTIR and GC-MS analysis and when qualitatively characterized and indicated the presence of phenols, ketones, carboxylic acids and esters.
Revalorization of green tea residues through the production of cellulases by solid-state fermentation using an Aspergillus niger strain.
Authors: Saldaña Salvador Alexis , Ponce Arturo Socrates Palacios , Esqu Juan Carlos Contreras , Herrera Raúl Rodríguez , Leza Héctor Arturo Ruiz , Valdés Juan Alberto Ascacio , Hernández José Luis Martínez , Sugathan Shiburaj , González Cristóbal Noé Aguilar 
Published: May 2022

Abstract
Green tea is one of the most popular beverages in the world, its industrial production generates huge amounts of waste, registering 4.8 million tons in 2019, which are a source of environmental pollution. In the present work, a revalorization of green tea residues (GTR) was explored through cellulase production by solid-state fermentation (SSF) using a strain of Aspergillus niger 28A. An exploratory analysis of the production of endocellulases (EC), β-glucosidases (BG), and total cellulase activity (FPUase) was carried out. The effect of moisture (70-60%), temperature (25-35 °C), and time of fermentation were evaluated. The BG were partially purified by dialysis and ultracentrifugation, and the optimal pH and temperature for its activity were determined. It was found that A. niger 28A strain exhibited high titers of EC (65.85 ± 2.18 IU / g), FPUase (5.44 ± 0.11 PFU / g), and BG activities (1016.52 ± 3.58 IU / g). The best production conditions were 34 °C and 96 h for EC and FPUase activities, and 32 °C, 65 % moisture, and 120 h for BG activity. The BG reached a specific activity of 496.90 ± 75.04 U / mg after the partial purification process. The optimal temperature and pH for BG activity from the partially purified extracts were pH 4 and 60 °C. GTR constitutes a suitable substrate for cellulases production using A. niger 28A strain, reaching high titers of BG, proposing a way for its revalorization through the generation of products with high added value.
Photonic machine learning with on-chip diffractive optics
Authors: Fu Tingzhao , Zang Yubin , Huang Yuyao , Du Zhenmin , Huang Honghao , Hu Chengyang , Chen Minghua , Yang Sigang , Chen Hongwei 
Published: May 2022

Abstract
Machine learning technologies have been extensively applied in high-performance information-processing fields. However, the computation rate of current hardware is severely circumscribed by the conventional Von Neumann architecture. Photonic approaches have demonstrated extraordinary potential for executing deep learning involving complex calculations. In this work, an on-chip diffractive optical neural network (DONN) based on a silicon-on-insulator (SOI) platform is proposed to perform machine learning tasks with high integration and low power consumption. To validate the proposed DONN, we fabricated 1-hidden-layer and 3-hidden-layer on-chip DONNs with footprints of 0.15 mm2 and 0.3 mm2 and experimentally verified their performance in a classification task on the Iris plants dataset, yielding accuracies of 86.7% and 90%, respectively. The proposed fully passive on-chip DONN provides a potential solution for accelerating future artificial intelligence hardware with enhanced performance.
Drug-disease association prediction via geometric deep learning and negative sample selection
Authors: Zhao Bo-Wei , Hu Lun , Hu Peng-Wei , Su Xiao-Rui , Li Dong-Xu , He Yi-Zhou , Yang Yue 
Published: May 2022

Abstract
Background: Traditional drug development takes a good deal of time and effort, computational drug repositioning enables to discover the underlying mechanisms of drugs, thereby reducing the cost of drug discovery and development. However, present methods merely consider structure-based drug-related network for feature extraction of drugs and diseases in the biological network. Results: In this paper, we develop a novel model, namely DRGDL, based on geometric deep learning and negative sample selection to infer potential drug-disease associations (DDAs), which can more comprehensively make use of the biological features of drugs and diseases. Specifically, the lower-order and higher-order representations of drugs and diseases are captured by two different geometric deep learning strategies, and then negative samples are constructed by a negative selection strategy. A machine learning classifier is applied to complete the prediction task of DDAs by integrating two representations of drugs and diseases. Experiment results demonstrate that DRGDL achieves excellent performance under ten-fold cross-validation on the benchmark dataset.
Weight suppression at lowest weight as a mediator between childhood maltreatment and eating disorder severity: a retrospective cohort study
Authors: khalil Rami Bou , Kassab Anthony , Sleilaty Ghassan , Richa Sami , Seneque Maude , Lefebvre Patrick , Sultane Ariane , Avignon Antoine , Maimoun Laurent , Renard Eric , Courtet Philippe , Guillaume Sebastien 
Published: May 2022

Abstract
Purpose
The aim of the study was to assess the relationship between weight suppression at lowest weight (WS-LW) and eating disorder (ED) clinical severity, and to test WS-LW role as a mediator of childhood maltreatment (CM) impact on ED.
Methods
For this retrospective cohort study, adult participants were selected at the Daycare Unit for multidisciplinary assessment of ED in Montpellier, France, between March 2013 and January 2020. Mental health professionals assessed and recruited patients with ED (n = 321). For each patient, they collected sociodemographic characteristics, body weight and height, and the results of the Mini-International Neuropsychiatric Interview, and the self-report Eating Disorder Examination-Questionnaire (EDE-Q) and Child Trauma Questionnaire (CTQ). The collected data were assessed using descriptive bivariate, Receiver Operating Characteristics (ROC), and mediation analyses.
Results
Participants were mainly women (94.39%; median age: 25.67 years); 216 (67.29%) had anorexia nervosa and 105 (32.71%) bulimia nervosa. A positive correlation was found between WS-LW and EDE-Q total score (Spearman’s rho = 0.262; p < 0.001). The ROC analysis (AUC = 0.586 at 95% confidence interval; p = 0.016) identified a WS-LW cutoff of 14.99 (sensitivity = 64.6%; specificity = 51.5%) to differentiate between clinically severe and non-severe ED. WS-LW mediated the relationship between CM severity and ED clinical severity (β = 0.024; 95%CI = 0.001–0.054).
Conclusion
Patients with ED and history of CM have higher WS-LW, an easy-to-determine parameter and a marker of more severe eating psychopathology in ED. WS-LW is also a clinical mediator of the relationship between CM and ED.
Experimental study on ultrasonic cavitation intensity based on fluorescence analysis
Authors: Ye Linzheng , Chuai Shida , Zhu Xijing , Wang Dong 
Published: May 2022

Abstract
Ultrasonic cavitation effect has been widely used in mechanical engineering, chemical engineering, biomedicine, and many other fields. The quantitative characterization of ultrasonic cavitation intensity has always been a difficulty. Based on this, a fluorescence analysis method has been adopted to explore ultrasonic cavitation intensity in this paper. In the experiment of fluorescence intensity measurement, terephthalic acid (TA) was used as the fluorescent probe, ultrasonic power, ultrasonic frequency, and irradiation time were independent variables, and fluorescence intensity and fluorescence peak area were used as experimental results. The collapse of ultrasonic cavitation bubble will cause molecular bond breakage and release ·OH, and the non-fluorescent substance TA will form strong fluorescent substance TAOH with ·OH. The spectra of the treated samples were measured by an F-7000 fluorescence spectrophotometer. The results showed that the fluorescence intensity and fluorescence peak area increased rapidly after ultrasonic cavitation treatment, and then increased slowly with the increase of ultrasonic power, which gradually increased with the increase of irradiation time. They first decreased and then increased with the increase of ultrasonic frequency from 20 kHz to 40 kHz. This was due to the comprehensive influence of the changes of cavitation oscillation period, cavitation energy, and the number of cavitation bubbles caused by the variation of ultrasonic frequency. The irradiation time was the most influential factor, and the cavitation intensity of low frequency was higher overall. The fluorescence intensity and fluorescence peak area of the samples increased by 2-20 times after ultrasonic treatment, which could increase from 69.0 and 5238 to 1387 and 95451, respectively. After the irradiation time exceeded 25 min, the growth rate of fluorescence intensity slowed down, which was caused by the decrease of gas content and TA concentration in the solution. The study quantitatively characterized the cavitation intensity, reflecting the advantages of fluorescence analysis, and provided a basis for the further study of ultrasonic cavitation.
Clinical outcomes of root coverage using Porcine derived collagen matrix with modified coronally advanced tunnel technique (MCAT) in multiple gingival recessions in smokers – a Randomized Controlled Clinical Trial
Authors: Mikkili Rajya Lakshmi , Gottumukkala Sruthima , Penmetsa Gautami S , KSV Ramesh , P Mohan Kumar , E Santosh vamsi , M Bindu Mounica 
Published: May 2022

Abstract
OBJECTIVES: Root coverage(RC)is an integral part in management of gingival recessions. Unlike isolated recessions, treating multiple recessions is the most challenging scenario especially in smokers who have reported reduced RC in terms of quantity and stability. Modified coronally advanced tunnel(MCAT) technique due to its improved vascularity along with use of porcine-derived collagen matrix (PDCM)(Mucograft™) with its bilayered dense collagen matrix may be a predictable alternative to conventional gold standard subepithelial connective tissue graft(SCTG). The purpose of this study was to compare the results of RC achieved using PDCM and SCTG with the MCAT approach in the treatment of multiple gingival recessions in smokers.METHODOLOGY: This is a prospective randomized controlled clinical study registered under clinical trial registry (CTRI no. CTRI/2020/03/024238) including 28 patients with 64 recession defects. Patients were randomized into SCTG and PDCM groups which were treated with SCTG using MCAT and PDCM using MCAT technique respectively. Recession depth(RD), Recession width(RW), Width of keratinized tissue(WKT), Thickness of keratinized gingiva(TKG), %RC, were assessed at baseline,3,6 months. Complete RC(CRC) at 3 and 6 months, RC esthetic scores(RCES) at 6 months.RESULTS: Both groups showed significant improvement in all clinical parameters. Intergroup comparison showed better performance of PDCM group in terms of RD,%RC,TKG,WKT,CRC(45.06%),RCES (p<0.001) compared to SCTG group. Time taken for surgical procedure and Visual Analog pain scores were significantly lesser in PDCM group.CONCLUSION: PDCM showed good predictable results in terms of all RC parameters compared to SCTG and thus may be used as a predictable alternative to SCTG for RC in smokers.CLINICAL SIGNIFICANCE: PDCM can be used as a potential alternative to gold standard Subepithelial connective tissue graft in smokers with better patient compliance.
Physicochemical and biological ageing processes of (micro)plastics in the environment: a multi-tiered study on polyethylene
Authors: Binda Gilberto , Zanetti Giorgio , Bellasi Arianna , Spanu Davide , Boldrocchi Ginevra , Bettinetti Roberta , Pozzi Andrea , Nizzetto Luca 
Published: May 2022

Abstract
Pollution by plastic and microplastic impacts the environment globally. Knowledge on the ageing mechanisms of plastics in natural settings is needed to understand their environmental fate and interaction with biota. The study of physicochemical and biological ageing is gaining focus in the context of the environmental sciences. However experimental research has typically assessed individual ageing processes, isolating them from a more realistic and complex environmental context where multiple factors are simultaneously at play. An over-simplistic approach can limit the comprehension of the phenomenon and prevent ranking the prevalent processes. In this study we propose a multi-tiered approach to study the environmental ageing of polyethylene plastic fragments focusing on the combined assessment of physical and biological processes, in sequence. The ageing protocol included Ultraviolet (UV) irradiation in air and in a range of water solutions, followed by a biofouling test. Changes in surface characteristics were assessed by Fourier transform infrared spectroscopy and scanning electron microscopy. UV irradiation both in air and water caused a significant increase in the density of oxidized groups on plastic surface, whereby water solution chemistry influenced the process both by modulating surface oxidation and morphology. Biofouling too, was a strong determinant of surface alterations, regardless the prior irradiation treatments. This suggests that biological-driven alterations are not affected by the level of chemical-physical ageing and may represent, in real settings, a main driver of alteration of both weathered and pristine plastics. This work highlights the potential pivotal role of biofouling as a main process of plastic ageing, providing useful technical insights for future experimental works. These results also confirms that a multi-tiered experimental approach is necessary for a complete characterization of the environmental ageing of plastics.
The Personality of Effective Christian Education Teachers in Strengthening Character Learner
Authors: Simanjuntak Junihot M. , Simanjuntak Ferry , Haans Albert Leonarts Jantje 
Published: May 2022

Abstract
This study examines the personality of Christian education teachers in strengthening the character of students, based on the personality of Jesus Christ and based on the study of personality psychologists. 30 teachers from Christian schools in 10 provinces in Indonesia took part in this study. These participants were selected using a purposive sample (a teacher with 7 years of experience in the classroom). Qualitative data were analyzed using ATLAS.ti software. Coding, categorization and interpretation part of data analysis. The findings reveal 14 teacher characteristics that influence student character development, such as being friends, role models, discipline, respecting students, willing to help, respecting students, fair, patient, calm, lifelong learning, skilled in educating, good teachers, showing a happy attitude, and known to be friendly.
High-Quality Conformer Generation with CDPKit/CONFORT: Algorithm and Performance Assessment
Authors: Seidel Thomas , Permann Christian , Wieder Oliver , Kohlbacher Stefan M. , Langer Thierry 
Published: May 2022

Abstract
The majority of compounds in the drug-like chemical space show flexibility regarding their three-dimensional structure which, in solution, results in an equilibrium of multiple interconvertible conformational states. Knowledge of the putative bound-state conformation of a molecule is an essential prerequisite for the successful application of many computer-aided drug design methods that aim to assess or predict its capability to bind to a particular target receptor of interest. An established approach to predict bioactive conformers in the absence of receptor structure information is to sample the low-energy conformational space of the investigated molecules and derive representative conformer ensembles which can then be expected to comprise members that closely resemble possible bound-state ligand conformations. The high relevance of such conformer generation functionality led to the development of a wide panel of dedicated commercial and open-source software tools throughout the last decades. Several published benchmarking studies have shown that open-source tools lag behind their commercial competitors in many key aspects like accuracy in reproducing bioactive conformations, speed of processing, output ensemble size, range of applicability, stability and user-friendliness. In this work, we introduce the novel open-source conformer ensemble generator CONFORT, which builds upon proven concepts and algorithms and aims at delivering state-of-the-art performance for all types of organic molecules in the drug-like chemical space. The ability of CONFORT, and several well-known commercial and open-source conformer ensemble generators, to reproduce experimental 3D structures as well as their computational efficiency and robustness has been assessed thoroughly both for typical drug-like molecules and macrocyclic structures. For small molecules, CONFORT outperforms all other tested open-source conformer generators and is head-to-head with commercial generators, both in terms of processing speed and accuracy in the reproduction of bioactive conformations. In the case of macrocyclic structures, CONFORT is able to reproduce experimental 3D structures with clearly higher accuracy than all other tested generators. To our knowledge, CONFORT is the first open-source conformer ensemble generator that is able to truly keep up with commercial software in this field and thus represents a valuable addition to the open-source software toolbox for computer-aided drug design.