bluuebunny/crossref_metadata_2025_split huggingface dataset:
Epıdemıology and Demography of Open Globe Injury In Chıldren
Authors: AVA Sedat , ERDEM Seyfettin , KARAHAN Mine , DURSUN Mehmet Emin , HAZAR Leyla , KEKLİKCİ Ugur 
Published: August 2021

Objective: To reveal the epidemiology and demographics of open globe injury in children.
Methods: In the study, the medical files of 185 patients aged 15 years and younger who applied to the Dicle University
Faculty of Medicine Ophthalmology clinic between April 2017 and April 2019 with open globe injury were retrospectively
analyzed. Patients were classified according to age, gender, etiology of trauma, location of trauma, and time of trauma
and recorded.
Results: A total of 185 eyes of 185 children were included in this study. Of the 185 children, 111 (60%) were boys and
74 (40%) were girls. The mean age of the 185 patients was 7.26 ± 3.80 years. Patients applied to our hospital 1-36 hours
after the İnjury. 101 (54.5%) of the injuries were in the right eye and 84 (45.5%) in the left Regarding the localization of
injuries, there were 131 (70.8%) corneal, 32 (17.3%) corneoscleral, 9 (4.9%) limbal, and 13 (7%) scleral cases. These
injuries were most commonly caused by 92 (49.7%) metallic objects, 22 (11.9%) glass, and 17 (9.2%) wood pieces.
Regarding the time of injury, 43 (23.2%) injuries occurred during 1–3 months, 59 (31.8%) occurred during 4–6 months,
50 (27.1%) occurred during 7–9 months, and 33 (17.9%) occurred during 10–12 months. The places where the injuries
occurred were 102 (55.1%) houses, 68 (36.8%) outdoors, and 15 (8.1%) schools.
Conclusions: Open globe injuries in children were most common in boys, in the age group of 1–5 years, in the right eye,
and in the cornea as localization. It was observed that these injuries were mostly caused by metal objects in the 4th to
6th months.
Comparação da dor e qualidade de vida entre indivíduos com e sem neuropatia diabética
Authors: Silva Ana Catarina Guimarães , Stival Marina Morato , Funghetto Silvana Schwerz , Volpe Cris Renata Grou , Funez Mani Indiana , Lima Luciano Ramos de 
Published: August 2021

Objetivo:comparar a dor e a qualidade de vida de indivíduos com e sem neuropatia diabética. Método: estudo transversal realizado com 251 participantes com diabetes mellitus tipo 2. Utilizou-se a escala Leeds Assessment of Neuropathic Symptoms and Signs (LANSS)para avaliar neuropatia diabética, características da dor, perda de sensibilidade protetora (PSP) e avaliar a qualidade de vidapelo Short-Form 6 Dimensions-Brasil/SF-6D. Realizou-se análise estatística descritiva. Resultados:16,3% apresentaram neuropatia, 97,6% queixaram-se de dor, sendo a maioria crônica e nos pés ou panturrilhas. 51,2% dos neuropáticos tiveram PSP no teste do monofilamento (p=0,001). Os descritores de dor mais referidos pelos neuropáticos: queimação (p=0,004), formigamento (p=0,002) e alfinetada e/ou agulhada (p=0,003) e os domínios de qualidade de vida afetados foram: dor, saúde mental e vitalidade. Conclusão:aqueles com neuropatia têm maior intensidade de dor, acordam à noite e apresentam alteração na sensibilidade dos pés, que pode ser rastreada na atenção primária.
As redes pedagógicas materializadas em narrativas docentes
Authors: Carrasco Castilho Janaina , Buena Andrade Megid Maria Auxiliadora 
Published: August 2021

O objetivo deste artigo é apresentar uma análise de uma rede de parceiros e apoios docentes, estabelecida a partir de narrativas sobre as práticas pedagógicas realizadas por professoras atuantes em uma escola pública no decorrer do ano de 2018. Insere-se no âmbito de uma pesquisa mais ampla de doutorado que, a partir de um estudo de caso, investigou as relações de colaboração numa escola pública municipal de Ensino Fundamental I, localizada em uma cidade do interior do estado de São Paulo. Como procedimentos metodológicos, realizamos um estudo bibliográfico sobre a organização social em redes e uma pesquisa de campo, acompanhando um grupo de dez professores em atuação profissional. Foram realizadas entrevistas narrativas que abordaram as práticas pedagógicas realizadas nessa escola. A análise foi efetivada a partir de eixos temáticos que emergiram dos elementos fornecidos pelas narrativas, com os quais estabelecemos diálogos ancorados no aporte teórico do estudo bibliográfico. Os resultados revelados mediante a análise das narrativas sobre essas práticas pedagógicas evidenciaram a articulação dos professores com parceiros pertencentes a diferentes espaços e tempos sociais, com os quais estabeleceram laços por meio de experiências vividas, não somente aquelas do interior da escola, mas que extrapolam os territórios de atuação profissional. A partir dessas evidências, podemos considerar que os diferentes interlocutores que compõem a rede social do professor, e com ele estabelecem relações de trocas, potencializadas pelos avanços tecnológicos nos meios de comunicação, são os responsáveis por promover a continuidade da formação profissional docente.
Formação de professores da Educação Infantil: ressignificando as práticas docentes por meio de propostas psicocorporais
Authors: Schmidt Bersch Ângela Adriane , Lima Piske Eliane 
Published: August 2021

Neste estudo, objetivamos refletir sobre a prática docente por meio de propostas psicocorporais que envolveram o lúdico e suas interfaces. As práticas docentes são aquelas mediadas pelo professor e que, no seu construto, há intencionalidades, promovendo a aprendizagem com sentido e significados. A pesquisa é de cunho qualitativo e, para a análise dos dados, utilizamos a Grounded Theory, aliada ao software Atlas.Ti. As técnicas de intervenção pedagógica aplicadas foram a Psicomotricidade Relacional e as Ginásticas Historiadas. Participaram dos encontros formativos 30 professoras da Educação Infantil do município de Rio Grande/RS. Os instrumentos que geraram os dados foram: observações das trajetórias que envolvem as atividades psicocorporais, as narrativas das participantes nos memoriais descritivos e no decorrer dos encontros, bem como imagens, filmagens e relatórios oriundos das temáticas das aulas aplicadas aos alunos das professoras. As categorias que emergiram na análise dos dados foram emoções e corpo, evidenciando que o dueto está implicado na comunicação corporal, já que não podemos separar a emoção do corpo, tampouco o corpo da emoção. As narrativas que envolveram as atividades psicocorporais — ou seja, brincar, jogar, criar, atuar, inventar, interagir com o outro e com os objetos disponibilizados — indicaram que são capazes de promover reflexões sobre a formação permanente e uma ressignificação da prática docente.
Model Selection for Time Series Count Data with Over-Dispersion
Authors: Musa Saleh Ibrahim , Nweze N. O. 
Published: August 2021

Time series of count with over-dispersion is the reality often encountered in many biomedical and public health applications. Statistical modelling of this type of series has been a great challenge. Rottenly, the Poisson and negative binomial distributions have been widely used in practice for discrete count time series data, their forms are too simplistic to accommodate features such as over-dispersion. Unable to account for these associated features while analyzing such data may result in incorrect and sometimes misleading inferences as well as detection of spurious associations. Therefore, the need for further investigation of count time series models suitable to fit count time series with over-dispersion of different level. The study therefore proposed a best model that can fit and forecast time series count data with different levels of over-dispersion and sample sizes Simulation studies were conducted using R statistical package, to investigate the performances of Autoregressiove Conditional Poisson (ACP) and Poisson Autoregressive (PAR) models. The predictive ability of the models were observed at different steps ahead. The relative performance of the models were examined using Akaike Information criteria (AIC) and Hannan-Quinn Information Criteria (HQIC). Conclusively, the best model to fit was ACP at different sample sizes. The predictive abilities of the four fitted models increased as sample size and number of steps ahead were increased
A systematic mapping protocol for understanding knowledge exchange in forest science
Authors: Westwood Alana R. , Hutchen Jenna , Kapoor Tyreen , Klenk Kimberly , Saturno Jacquelyn , Wang Jonathan , Falconer Matthew , Nguyen Vivian M. 
Published: August 2021

Abstract
When making decisions about forest and environmental management, managers and policymakers often rely upon scientific knowledge. There is a well‐documented ‘knowledge–integration gap’ where often the production of knowledge and its use are not aligned. Though there are several theoretical frameworks that conceptualize how knowledge is exchanged between producers of scientific knowledge and users of that information, there has been little attention to documenting knowledge exchange practices and their effectiveness, especially about forests.
In the systematic map, we will examine the peer‐reviewed academic and grey literature to document and classify the knowledge exchange techniques suggested and adopted by knowledge producers and users in the forest sciences globally. Characterizing this knowledge exchange landscape will provide new information about which techniques are used and their frequency, if there is evidence of effectiveness for particular techniques, and recommendations for best practices. This map will also show whether approaches to knowledge exchange differ between sectors (e.g. academia, government).
We will create a systematic literature map as defined by the Collaboration for Environmental Evidence to capture case studies of, or theories about, knowledge exchange related to forest science. The search of peer‐reviewed academic and grey literature will be conducted in English and French in two academic databases (BASE and Scopus) and one specialist database (ResearchGate). Candidate search strings will be evaluated against a test list of documents to determine strings with maximum sensitivity and specificity. Eligibility criteria will be applied to items at two screening stages: (1) title and abstract and (2) full‐text. All screening decisions will be recorded in a database with 15% of full‐text screening decisions validated. Items retained for inclusion will have data extracted according to a standardized strategy. Each reviewer conducting data extraction will have at least three of their extractions validated.
The systematic map will employ a narrative synthesis approach that includes descriptive statistics, tables, and figures which describe the types and frequency of knowledge exchange techniques theorized or described, a network map displaying the institutions within and between which knowledge exchange occurs, as well as summarizing any available evidence of effectiveness for particular knowledge exchange techniques.
Overcoming the Challenges of Freestanding Tin Oxide‐Based Composite Anodes to Achieve High Capacity and Increased Cycling Stability
Authors: Zoller Florian , Häringer Sebastian , Böhm Daniel , Illner Hannah , Döblinger Markus , Sofer Zdene˘k , Finsterbusch Martin , Bein Thomas , Fattakhova‐Rohlfing Dina 
Published: August 2021

AbstractFreestanding electrodes are a promising way to increase the energy density of the batteries by decreasing the overall amount of electrochemically inactive materials. Freestanding antimony doped tin oxide (ATO)‐based hybrid materials have not been reported so far, although this material has demonstrated excellent performance in conventionally designed electrodes. Two different strategies, namely electrospinning and freeze‐casting, are explored for the fabrication of ATO‐based hybrid materials. It is shown that the electrospinning of ATO/carbon based electrodes from polyvinyl pyrrolidone polymer (PVP) solutions was not successful, as the resulting electrode material suffers from rapid degradation. However, freestanding reduced graphene oxide (rGO) containing ATO/C/rGO nanocomposites prepared via a freeze‐casting route demonstrates an impressive rate and cycling performance reaching 697 mAh g−1 at a high current density of 4 A g−1, which is 40 times higher as compared to SnO2/rGO and also exceeds the freestanding SnO2‐based composites reported so far. Antimony doping of the nanosized tin oxide phase and carbon coating are thereby shown to be essential factors for appealing electrochemical performance. Finally, the freestanding ATO/C/rGO anodes are combined with freestanding LiFe0.2Mn0.8PO4/rGO cathodes to obtain a full freestanding cell operating without metal current collector foils showing nonetheless an excellent cycling stability.
Reversible, Selective, Ultrawide‐Range Variable Stiffness Control by Spatial Micro‐Water Molecule Manipulation
Authors: Ha Inho , Kim Minwoo , Kim Kyun Kyu , Hong Sukjoon , Cho Hyunmin , Kwon Jinhyeong , Han Seonggeun , Yoon Yeosang , Won Phillip , Ko Seung Hwan 
Published: August 2021

AbstractEvolution has decided to gift an articular structure to vertebrates, but not to invertebrates, owing to their distinct survival strategies. An articular structure permits kinematic motion in creatures. However, it is inappropriate for creatures whose survival strategy depends on the high deformability of their body. Accordingly, a material in which the presence of the articular structure can be altered, allowing the use of two contradictory strategies, will be advantageous in diverse dynamic applications. Herein, spatial micro‐water molecule manipulation, termed engineering on variable occupation of water (EVO), that is used to realize a material with dual mechanical modes that exhibit extreme differences in stiffness is introduced. A transparent and homogeneous soft material (110 kPa) reversibly converts to an opaque material embodying a mechanical gradient (ranging from 1 GPa to 1 MPa) by on‐demand switching. Intensive theoretical analysis of EVO yields the design of spatial transformation scheme. The EVO gel accomplishes kinematic motion planning and shows great promise for multimodal kinematics. This approach paves the way for the development and application of smart functional materials.
A recurrent de novo variant supports KCNC2 involvement in the pathogenesis of developmental and epileptic encephalopathy
Authors: Rydzanicz Małgorzata , Zwoliński Piotr , Gasperowicz Piotr , Pollak Agnieszka , Kostrzewa Grażyna , Walczak Anna , Konarzewska Magdalena , Płoski Rafał 
Published: August 2021

AbstractDevelopmental and epileptic encephalopathies (DEE) are a heterogenous group of conditions characterized by the co‐occurrence of epilepsy and intellectual/developmental disability. Despite several known DEE‐related genes, including these encoding ion channels, still many cases remain without molecular diagnosis. Here, we present a 2‐year‐old girl with severe DEE in whom whole exome sequencing revealed de novo p.(Val471Leu) variant in the KCNC2 encoding Kv3.2, a voltage‐gated potassium channel. To the best of our knowledge, this is the third DEE case due to KCNC2 mutation. Our clinical and molecular findings, particularly the recurrence of p.(Val471Leu) in patient with similar clinical phenotype, further support KCNC2 as a novel DEE‐associated gene.
Exploring possibilities for shortening the 22‐item Sino‐Nasal Outcome Test (SNOT‐22) using item response theory
Authors: Liu David T. , Phillips Katie M. , Speth Marlene M. , Besser Gerold , Mueller Christian A. , Sedaghat Ahmad R. 
Published: August 2021

AbstractBackgroundEven with a high‐quality instrument, such as the 22‐item Sino‐Nasal Outcome Test (SNOT‐22), patients can be overwhelmed by repeated completion of questionnaires, leading to nonadherence and reduced data quality. The aim of this study was to evaluate whether the SNOT‐22 could be made more concise without losing the valuable information that it provides.MethodsA modern psychometric approach, item response theory (IRT), was used on a sample of 800 patients with chronic rhinosinusitis (CRS). The SNOT‐22 was refined based on: (1) the item information criteria, retaining only items with above‐average information; and (2) the total test information, retaining only the most discriminating items to cover at least 30% of the information within each subdomain. The preliminary validity and reliability of these refined scales were assessed using Cronbach's alpha and Pearson's correlation.ResultsUsing an IRT approach, we find that it may be possible to shorten the SNOT‐22 to an 11‐item and six‐item version based on psychometric properties. Item information functions of the shortened 11‐item and six‐item scales demonstrate that both versions accurately covered the CRS symptom‐severity continuum. Preliminary reliability and validity analysis showed that both refined scales had good to excellent reliability (Cronbach's alpha ≥ 0.80) and were highly associated with the original full‐length scale (r ≥ 0.90).ConclusionIRT provides data‐driven opportunities for the continuous development and refinement of the SNOT‐22. While patient and provider input must be accounted for too, our results show that future revisions of the SNOT‐22 could include significantly fewer items.
Charge‐Current Output in Plasma‐Immersed Hydrogen Atom with Noncentral Interaction
Authors: Bahar Mustafa Kemal 
Published: August 2021

AbstractA theoretical investigation on the charge‐currents and induced magnetizations of hydrogen atoms with noncentral interaction, immersed in a plasma environment, under the influence of spherical encompassing is performed. The Hartmann potential for noncentral interaction is considered, but it is modified due to the plasma‐embedded hydrogen atom. The interactions in plasma are delineated by keeping in view the more general exponential cosine screened Coulomb (MGECSC) potential which reproduces more general and detailed outcomes. The shielding effect of the plasma environment is regarded by modifying the Hartmann potential through the MGECSC potential. Thus, the hydrogen atom is considered to be under the influence of the plasma modified Hartmann (PMH) potential. While the numerical tridiagonal matrix method (TMM) is employed due to the difficulty of analytical solution to the radial wave equation in nonrelativistic scheme including PMH potential, a hybrid solution technique is preferred by using asymptotic iteration method (AIM) to solve the angular wave equation. This study provides a detailed analysis of the plasma shielding, spherical confinement, and noncentral effect on the production and control of charge‐currents and induced magnetizations. In this analysis, the altenativeness to each other of the plasma environment, spherical encompassing, and noncentral effect is also evaluated, and suggestions are made for related application studies.
Picking up the threads: Comparative osteology and associated cartilaginous elements for members of the genusTrilepidaHedges, 2011 (Serpentes, Leptotyphlopidae) with new insights on the Epictinae systematics
Authors: Martins Angele , Koch Claudia , Joshi Mitali , Pinto Roberta , Passos Paulo 
Published: August 2021

AbstractThe threadsnakes of the family Leptotyphlopidae have been historically neglected in terms of their natural history, ecology, systematics, and morphology. Given the relevance of morphological data for resolving systematic, evolutionary, and functional issues, we aimed to provide a detailed comparative description of osteology and associated cartilaginous elements for members of the genusTrilepida. Data were obtained through high‐resolution computed tomography images, cleared and stained specimens, and radiography images of a total of 47 specimens and 12 species. Both cranial and axial osteology characters exhibited a relevant degree of intraspecific variation regarding qualitative and quantitative data associated with skull and vertebrae foramina and the shape of bony sutures and processes. The high representativeness of examined species and specimens allows us to provide a comprehensive discussion on the inter‐ and intraspecific osteological variation, as well as a compelling osteological diagnosis for the entire genus.Trilepidaspp. differ from all Epictinae by the presence of the following combination of characters: paired nasals, fused supraoccipitals (distinct from parietal, prootics, and otooccipitals), a single (fused) parietal without a dorsal fontanelle, and the basioccipital participating in the foramen magnum (except inTrilepida nicefori). Our results reinforce the need for integration of detailed anatomical traits to usually conserved external morphological data to provide accurate diagnostic features for Epictinae. In addition, new phylogenetic hypotheses or even taxonomic re‐allocations may broadly benefit from these detailed comparative studies.
Insights into the Molecular Mechanisms of Histone Code Recognition by the BRPF3 Bromodomain
Authors: Barman Soumen , Roy Anirban , Bardhan Ishita , Kandasamy Thirukumaran , Shivani Shivani , Sudhamalla Babu 
Published: August 2021

AbstractBromodomains are evolutionarily conserved reader modules that recognize acetylated lysine residues on the histone tails to facilitate gene transcription. The bromodomain and PHD finger containing protein 3 (BRPF3) is a scaffolding protein that forms a tetrameric complex with HBO1 histone acetyltransferase (HAT) and two other subunits, which is known to regulate the HAT activity and substrate specificity. However, its molecular mechanism, histone ligands, and biological functions remain unknown. Herein, we identify mono‐ (H4K5ac) and di‐ (H4K5acK12ac) acetylated histone peptides as novel interacting partners of the BRPF3 bromodomain. Consistent with this, pull‐down assays on purified histones from human cells confirm the interaction of BRPF3 bromodomain with acetylated histone H4. Further, MD simulation studies highlight the binding mode of acetyllysine (Kac) and the stability of bromodomain‐histone peptide complexes. Collectively, our findings provide a key insight into how histone targets of the BRPF3 bromodomain direct the recruitment of HBO1 complex to chromatin for downstream transcriptional regulation.
Machine learning study of the molecular drivers of natural product prices
Authors: Blay Vincent , Dong Jie , Moya Andrés 
Published: August 2021

AbstractThe price of chemicals is a very complex variable. It can be impacted by production costs but also by market and managerial factors, which may have complex relationships with molecular characteristics and the state of technology and society. In this work, we explore the extent to which molecular characteristics can help explain natural product prices with the aid of machine learning tools. We interpret models trained on molecular descriptors and molecular fingerprints. These models can explain a notable proportion of the variation in prices, suggesting that production and separation costs are a major contributor to current natural product prices. Some molecular properties stand out as key price drivers across the chemical space, including hydrophobicity and the presence of certain heteroatoms. On the other hand, we demonstrate how the application of cliff analysis to prices allows the identification of small chemical transformations that have a remarkable impact on prices. Overall, the work suggests that machine learning could help achieve more consistent and fairer pricing and provides specific examples of chemical transformations in which synthetic biology could add significant value. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd