bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novelty detection-based approach for Alzheimer’s disease and mild cognitive impairment diagnosis from EEG
Authors: Cejnek Matous , Vysata Oldrich , Valis Martin , Bukovsky Ivo 
Published: September 2021

AbstractAlzheimer’s disease is diagnosed via means of daily activity assessment. The EEG recording evaluation is a supporting tool that can assist the practitioner to recognize the illness, especially in the early stages. This paper presents a new approach for detecting Alzheimer’s disease and potentially mild cognitive impairment according to the measured EEG records. The proposed method evaluates the amount of novelty in the EEG signal as a feature for EEG record classification. The novelty is measured from the parameters of EEG signal adaptive filtration. A linear neuron with gradient descent adaptation was used as the filter in predictive settings. The extracted feature (novelty measure) is later classified to obtain Alzheimer’s disease diagnosis. The proposed approach was cross-validated on a dataset containing EEG records of 59 patients suffering from Alzheimer’s disease; seven patients with mild cognitive impairment (MCI) and 102 controls. The results of cross-validation yield 90.73% specificity and 89.51% sensitivity. The proposed method of feature extraction from EEG is completely new and can be used with any classifier for the diagnosis of Alzheimer’s disease from EEG records.
CAOSS and transcendence: Modeling role-dependent constituent meanings in compounds
Authors: Günther Fritz , Marelli Marco 
Published: September 2021

AbstractMany theories on the role of semantics in morphological representation and processing focus on the interplay between the lexicalized meaning of the complex word on the one hand, and the individual constituent meanings on the other hand. However, the constituent meaning representations at play do not necessarily correspond to the free-word meanings of the constituents: Role-dependent constituent meanings can be subject to sometimes substantial semantic shift from their corresponding free-word meanings (such as -bill in hornbill and razorbill, or step- in stepmother and stepson). While this phenomenon is extremely difficult to operationalize using the standard psycholinguistic toolkit, we demonstrate how these as-constituent meanings can be represented in a quantitative manner using a data-driven computational model. After a qualitative exploration, we validate the model against a large database of human ratings of the meaning retention of constituents in compounds. With this model at hand, we then proceed to investigate the internal semantic structure of compounds, focussing on differences in semantic shift and semantic transparency between the two constituents.
Experimental Study on the Phase Relations of the SiO2-MgO-TiO2 System in Air at 1500°C
Authors: Chen Min , Wan Xingbang , Shi Junjie , Taskinen Pekka , Jokilaakso Ari 
Published: September 2021

AbstractWe investigated the phase relations of the SiO2-MgO-TiO2 system in air at 1500°C using the high-temperature isothermal equilibration/quenching technique, followed by x-ray diffraction measurements and direct phase analysis using scanning electron microscopy coupled with x-ray energy dispersive spectrometry. One single liquid phase domain, five two-phase domains (liquid-TiO2, liquid-cristobalite, liquid-MgO·SiO2, liquid-2MgO·SiO2, and liquid-MgO·2TiO2), and five three-phase regions (liquid-TiO2-MgO·2TiO2, liquid-MgO·SiO2-cristobalite, liquid-TiO2-cristobalite, liquid-MgO·SiO2-2MgO·SiO2 and liquid-2MgO·SiO2-MgO·2TiO2) were observed. We constructed a 1500°C isothermal phase diagram based on the experimentally measured liquid compositions. We compared simulations using MTDATA and FactSage thermodynamic software and their databases with the experimental results obtained in this study. These results can be used to provide guidelines for updating the MTDATA and FactSage titania-bearing thermodynamic databases by reassessing the thermodynamic properties of the phase with new experimental data.
Lung transplantation: how we do it
Authors: Murala John Santosh , Hanif Hashim Muhammad , Peltz Matthias , Cheruku Sreekanth Reddy , Huffman Lynn Custer , Hackmann Amy Elizabeth , Jessen Michael Erik , Ring William Steves , Wait Michael Alton 
Published: September 2021

AbstractLung transplantation is considered the gold standard for patients with chronic end-stage pulmonary disease. However, due to the complexity of management and relatively lower median survival as compared to other solid organs, many programs across the world have been slow to adopt the same. In our institution, we started lung transplantation in September 1990. And since then, we performed close to 900 lung transplantations. Here, we describe in detail the operative steps adopted in our institution for a successful lung transplantation. There have been very few variations over the years. We believe that having a standardized technique is one of the important features for success of a lung transplant program.
Learning Professional Knowledge: Bachelor Nursing Students’ Experiences in Learning and Knowledge Quality Outcomes in a Competence-Based Curriculum
Authors: den Hertog Ria , Boshuizen Henny P. A. 
Published: September 2021

AbstractSince decades, nursing education struggles with a persistent gap between the theoretical knowledge offered in the study program and its application in professional practice. To bridge this gap competence-based curricula were developed with instructional designs as authentic learning contexts and self-directed learning. In this project we explored final year Bachelor Nursing (BN) students’ experiences in learning in a newly developed curriculum, and their knowledge quality outcomes and the degree of agreement with knowledge requirements. An instrumental multiple case study was conducted with interviews, concept mapping and a domain knowledge list. Results show that a third of the participants had positive learning experiences and got high appraisals for their knowledge quality. Similar to the medium and low scoring participants, they developed instrumental knowledge but integrated other forms of learning into a system of meaning, which is needed to solve non-routine problems in future practice. Medium and low scoring participants did not profit from learning in authentic contexts and self-directed learning. In conclusion, developing sufficient professional knowledge in a constructivist competence-based curriculum is influenced by students’ intrinsic motivation to build a strong knowledge base, by their perception of how to learn and use professional knowledge, and their expectations of the degree of supervision and guidance by the teacher. It is recommended to evaluate the extent to which the intended curriculum is being taught.
The fascinating world of mayenite (Ca12Al14O33) and its derivatives
Authors: Intiso Adriano , Rossi Federico , Proto Antonio , Cucciniello Raffaele 
Published: September 2021

AbstractMayenite (12CaO·7Al2O3) is a mesoporous calcium aluminum oxide, with a characteristic crystalline structure. The framework of mayenite is composed of interconnected cages with a positive electric charge per unit cell that includes two molecules [Ca24Al28O64]4+, and the remaining two oxide ions O2−, often labelled “free oxygen”, are trapped in the cages defined by the framework. Starting from mayenite structure several derivatives have been prepared through advanced synthetic protocols by free oxygen substitution with various anions. Mayenite and its derivates have been intensively investigated in many applications which include catalysis (oxidation and reduction, ammonia synthesis, pinacol coupling), environmental sensors and CO2 sorbent materials. In this review, we summarize our recent results on the main applications of mayenite and its derivatives.
Million node fracture: size matters?
Authors: Lavrov A. 
Published: September 2021

AbstractTransmissivity of self-affine fractures was computed numerically as a function of the grid size. One-million-node fractures (1024 × 1024 nodes) with fractal dimensions of 2.2–2.6 were cut into successively smaller fractures (“generations”), and transmissivities computed. The number of fractures in each generation was increased by a factor of 4. Considerable scatter in transmissivity was observed for smaller grid sizes. Average transmissivity of the fractures in the generation decreased with the grid size, without approaching any asymptotic value, which indicates no representative elementary volume (REV). This happened despite the average mean aperture being the same in each generation. The results indicate that it is not possible to estimate the transmissivity of a large fracture by cutting it into smaller fractures, running flow simulations on those and averaging the results. The decrease in transmissivity with the grid size was found to be due to an increase in the flow tortuosity.
Sintering behaviour and microwave dielectric properties of MgO-2B2O3-xwt%BaCu(B2O5)-ywt%H3BO3 ceramics
Authors: Wang Haiquan , Li Shixuan , Wang Kangguo , Chen Xiuli , Zhou Huanfu 
Published: September 2021

AbstractThis study investigates the bulk density, sintering behaviour, and microwave dielectric properties of the MgO-2B2O3 series ceramics synthesised by solid-state reaction. According to the X-ray diffraction and microstructural analyses, the as-prepared MgO-2B2O3 ceramics possess a single-phase structure with a rod-like morphology. The effects of different quantities of H3BO3 and BaCu(B2O5) (BCB) on the bulk density, sintering behaviour, and microwave dielectric properties of the MgO-2B2O3 ceramics were investigated. Accordingly, the optimal sintering temperature was obtained by adding 30 wt% H3BO3 and 8 wt% BCB. We also reduced the sintering temperature to 825 °C. Furthermore, the addition of 40 wt% H3BO3 and 4 wt% BCB increased the quality factor, permittivity, and temperature coefficient of resonance frequency of MgO-2B2O3 to 44,306 GHz (at 15 GHz), 5.1, and −32 ppm/°C, respectively. These properties make MgO-2B2O3 a viable low-temperature co-fired ceramic with broad applications in microwave dielectrics.
Descriptive understanding and prediction in COVID-19 modelling
Authors: Findl Johannes , Suárez Javier 
Published: September 2021

AbstractCOVID-19 has substantially affected our lives during 2020. Since its beginning, several epidemiological models have been developed to investigate the specific dynamics of the disease. Early COVID-19 epidemiological models were purely statistical, based on a curve-fitting approach, and did not include causal knowledge about the disease. Yet, these models had predictive capacity; thus they were used to ground important political decisions, in virtue of the understanding of the dynamics of the pandemic that they offered. This raises a philosophical question about how purely statistical models can yield understanding, and if so, what the relationship between prediction and understanding in these models is. Drawing on the model that was developed by the Institute of Health Metrics and Evaluation, we argue that early epidemiological models yielded a modality of understanding that we call descriptive understanding, which contrasts with the so-called explanatory understanding which is assumed to be the main form of scientific understanding. We spell out the exact details of how descriptive understanding works, and efficiently yields understanding of the phenomena. Finally, we vindicate the necessity of studying other modalities of understanding that go beyond the conventionally assumed explanatory understanding.
Investigating deep feedforward neural networks for classification of transposon-derived piRNAs
Authors: da Costa Alisson Hayasi , Santos Renato Augusto Corrêa dos , Cerri Ricardo 
Published: September 2021

AbstractPIWI-interacting RNAs (piRNAS) form an important class of non-coding RNAs that play a key role in gene expression regulation and genome integrity by silencing transposable elements. However, despite the importance of piRNAs and the large application of deep learning in computational biology, there are few studies of deep learning for piRNAs prediction. Still, current methods focus on using advanced architectures like CNN and variations. This paper presents an investigation on deep feedforward network models for classification of human transposon-derived piRNAs. We developed a lightweight predictor (when compared to other deep learning methods) and we show by practical evidence that simple neural networks can perform as well as better than complex neural networks when using the appropriate hyperparameters. For that, we train, analyze and compare the results of a multilayer perceptron with different hyperparameter choices, such as numbers of hidden layers, activation functions and optimizers, clarifying the advantages and disadvantages of each choice. Our proposed predictor reached a F-score of 0.872, outperforming other state-of-the-art methods for human transposon-derived piRNAs classification. In addition, to better access the generalization of our proposal, we also showed it achieved competitive results when classifying piRNAs of other species.
Silylated Thiol-Containing Cellulose Nanofibers as a Bio-Based Flocculation Agent for Ultrafine Mineral Particles of Chalcopyrite and Pyrite
Authors: Coelho Braga de Carvalho Ana Luiza , Ludovici Feliciana , Goldmann Daniel , Silva André Carlos , Liimatainen Henrikki 
Published: September 2021

AbstractA considerable amount of very fine particles can be found, e.g., stored in tailing ponds, and they can include valuable or hazardous minerals that have the potential to be recovered. Selective flocculation, i.e., the formation of larger aggregates from specific minerals, offers a promising approach to improve the recovery of ultrafine particles. This study focuses on the use of a new bio-based flocculation agent made of silylated cellulose nanofibers containing a thiol-functional moiety (SiCNF). Flocculation was performed in separated systems of ultrafine mineral dispersions of pyrite, chalcopyrite, and quartz in aqueous alkaline medium. The flocculation performance of SiCNF was addressed in terms of the turbidity reduction of mineral dispersions and the floc size, and the results were compared with the performance of a commercial anionic polyacrylamide. SiCNF exhibited a turbidity removal efficiency of approximately 90%–99% at a concentration of 4000–8000 ppm with chalcopyrite and pyrite, whereas the turbidity removal of quartz suspension was significantly lower (a maximum of approximately 30%). The sulfide particles formed flocs with a size of several hundreds of micrometers. The quartz in turn did not form any visible flocs, and the dispersion still had a milky appearance after dosing 12,000 ppm of the flocculant. These results open a promising path for the investigation of SiCNF as a selective flocculation agent for sulfide minerals.
Graphical Abstract
Influence of the nitrided layer thickness of dies made of two types of tool steel used in hot extrusion of valve forgings made of nickel–chromium steel on the durability of these tools
Authors: Hawryluk Marek , Lachowicz Marzena , Janik Marta , Ziemba Jacek , Gronostajski Zbigniew 
Published: September 2021

Abstract
The study constitutes an analysis of the durability of dies used in the first operation of producing valve forgings from chromium–nickel steel (NCF 3015) for motor trucks. The average durability of the dies (subjected to standard thermal treatment and nitriding) in this operation equals about 800 forgings. To perform an in-depth analysis of the effect of the nitrided layer thickness (0.1 mm and 0.2 mm) and the tool material (W360 and QRO90) on the possibilities of increasing the die durability, complex studies were carried out, which included: a macroscopic analysis combined with 3D scanning, microstructural examinations using a scanning microscope and a metallographic microscope, as well as hardness measurements. A minimum of three tools were tested for different variants, and for each of them, one representative die was selected for detailed examinations. The research showed the presence of abrasive wear, thermo-mechanical fatigue and traces of adhesive wear as well as plastic deformation on the surface of the working impressions. Also observed was the effect of the extruded material sticking to the tools (high friction and the presence of intermetallic phases in the extruded material) and the forging being blocked in the smallest section of the die, which is a critical factor causing a production shutdown and the necessity of tool replacement. The highest mean durability equalling 2600 forgings was obtained for the dies with a lower carbon content and a higher content of vanadium and the nitrided layer thickness at the level of 0.2 mm. The lowest mean durability (after one forging item) was recorded for the dies made of steel with a higher carbon content and a higher chromium content, forming less stable compound carbides and the thickness layer at the level of 0.1 mm.
Microstructure and mechanical properties of Titanium grade 23 produced by selective laser melting
Authors: Nikiel Piotr , Wróbel Mirosław , Szczepanik Stefan , Stępień Michał , Wierzbanowski Krzysztof , Baczmański Andrzej 
Published: September 2021

Abstract
Selective laser melted Titanium grade 23 was characterized by low porosity, relatively large surface roughness and pronounced surface texture (i.e. surface grooves orientation). The band/layer microstructure was built of mixed α and β phases. The as printed structure exhibited very high compressive residual stresses with strong anisotropy (i.e., − 512 ± 17 MPa and − 282 ± 14 MPa along the laser scanning direction and along the transverse direction, respectively) and strong fiber crystallographic texture. The latter one is responsible for the anisotropy of hardness in the material. Annealing at 600 °C during four hours significantly removed residual stresses (i.e. to − 14 ± 2.8 MPa) and slightly weakened the texture. Yield strength, 1120 ± 50 MPa, and ultimate tensile strength, 1210 ± 50 MPa, of the annealed material are significantly higher and tensile elongation, 3.9%, lower than for commercial Titanium grade 23. Final mechanical polishing to obtain flat and relatively smooth surface induced desired compression residual stress in the subsurface (i.e., equal to about − 90 MPa). Low absorbed gas contents (oxygen, nitrogen, hydrogen) and low porosity of the printed material indicates the correctness of the technology and allows the printed material to be classified as meeting the requirements of ASTM standards for Titanium grade 23. Besides traditional testing techniques, the optical profilometry, X-ray analysis (texture and residual stresses measurement) and infrared absorption method were applied for the product characterization and some potential of these testing methods and usefulness in technological practice was discussed, what can be particularly interesting both to practitioners from industry and researches from scientific laboratories.
Psychological well‐being of ruminative adolescents during the transition to COVID‐19 school closures: An EMA study
Authors: Swords Caroline M. , Lecarie Emma K. , Doane Leah D. , Hilt Lori M. 
Published: September 2021

AbstractIntroductionAdolescents with moderate‐to‐severe levels of trait rumination are at heightened risk for psychopathology and may be particularly vulnerable to disruptions caused by the onset of the COVID‐19 pandemic. As most past research documenting the impact of COVID‐19 on adolescent well‐being has been cross‐sectional, it is unclear exactly how ruminative adolescents responded to the onset of the pandemic as it unfolded.MethodsWe used ecological momentary assessment (EMA) to explore changes in rumination among adolescents during the initial transition to distance learning in the United States. A subsample of 22 ruminative youth (Mage = 13.58; SD = 0.96; 54.5% male; 86.4% White) from a larger study provided EMA data throughout January–April 2020 (M responses per participant = 105.09, SD = 65.59). Following school closures, we hypothesized that adolescents would report greater rumination (i.e., focusing on emotions and problems) and depressive symptom level would moderate this effect.ResultsSurprisingly, rumination decreased, and this effect was moderated by depressive symptom level for emotion‐focused rumination, i.e., those with average and below‐average depressive symptoms experienced decreases in rumination.ConclusionsThese results suggest that the first wave of stay‐at‐home orders and the transition to distance learning were not immediately distressing to vulnerable adolescents. However, more research is needed to determine whether the results from recent research are generalizable to other adolescents and to examine the long‐term impact of the pandemic on adolescent well‐being.
Bassini inguinal hernia repair: Obsolete or still a viable surgical option? A single center cohort study
Authors: Tse Wayne , Johns William , Maher James , Rivers Jeannie , Miller Thomas 
Published: September 2021

ABSTRACT

Background:
Most inguinal hernias are presently repaired using some type of mesh technique. This mesh can be placed through an inguinal incision or positioned through a laparoscopic approach. Either way, results have been impressive including a low recurrence rate, minimal pain and a rapid return to work and normal activity compared to tissue based approaches. Notwithstanding these results, there is still a subset of patients who, for various reasons, are strongly opposed to having a mesh repair. This study summarizes our 13 year experience with such patients and why the Bassini hernia repair is a viable surgical option in these individuals.

Methods:
Patients undergoing a Bassini repair at our institution from 2006 to 2014 were analyzed for long-term durability of the repair, complications and recurrence rate.

Results:
Of 203 patients studied (average age 65; 99% male), 205 repairs (two patients had bilateral repairs) were evaluated. Seven documented recurrences (3.7%) were identified. Post-operative complications were relatively minor and easily managed. They included 22 patients (10.8%) with a wound hematoma/seroma, 17 (8.4%) with urinary retention, and four (2%) with testicular ischemia not requiring orchiectomy. Pain problems (10.3%) were generally transient and resolved in a period of weeks. In those patients who did not die from co-morbid disease, long term durability of repair (≥5 years) was quite common.

Conclusion:
Low recurrence rate, long term durability and relatively minor complications indicate that the Bassini repair is still a good surgical option in patients opposed to a mesh repair. As such, we argue that it is not obsolete but still remains a viable surgical option in selected patients.

Highlights
Segmentation of Static and Dynamic Atomic-Resolution Microscopy Data Sets with Unsupervised Machine Learning Using Local Symmetry Descriptors
Authors: Wang Ning , Freysoldt Christoph , Zhang Siyuan , Liebscher Christian H , Neugebauer Jörg 
Published: September 2021

Abstract
We present an unsupervised machine learning approach for segmentation of static and dynamic atomic-resolution microscopy data sets in the form of images and video sequences. In our approach, we first extract local features via symmetry operations. Subsequent dimension reduction and clustering analysis are performed in feature space to assign pattern labels to each pixel. Furthermore, we propose the stride and upsampling scheme as well as separability analysis to speed up the segmentation process of image sequences. We apply our approach to static atomic-resolution scanning transmission electron microscopy images and video sequences. Our code is released as a python module that can be used as a standalone program or as a plugin to other microscopy packages.