bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impairment and Traumatization as Crucial Factors for Didactics and Pedagogy of Adolescent Refugees
Authors: Kölbel Martin 
Published: April 2022

Discussions about the extent of integration of adolescent refugees as well as integrating displaced people &lsquo;correctly&rsquo; in the respective education system of the target country have long been held about. Since crisis caused by, for example, war or the Covid-19 pandemic increase the numbers of refugees all over the world, a high number of displaced people suffer from experienced traumas and might therefore be impaired in participating in curricular education. For this study, the observation of three adolescent refugees who attend different sports classes, thus being encompassed by variable social settings, has been at the center of attention for one semester. To ensure data variety, principals, PE teachers, refugee students, &lsquo;regular&rsquo; students have been interviewed, respectively.
The analysis revealed that huge differences in terms of adaptation as well as impairment could be observed among the participating adolescent refugees. While one of the refugee students easily adapted among the observed manifestations (non-)verbal communication, social form, behavioral strategies and potentials of physical education, the other adolescent refugee displayed severe impairment in all of the manifestations mentioned above; hence, experienced traumata experienced before, during or after flight require newly arriving students being psychologically examined and monitored.&nbsp;
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Inauguration of a unique journal the Journal of Digital Health: a new beginning seeking innovative technology and research for digital health
Authors: Yu Honggang 
Published: April 2022

As the Editor-in-Chief of the newly founded journal the Journal of Digital Health (JDH), I am honored to introduce this journal to you on behalf of Luminescience Press Ltd.
JDH is an open access and peer-reviewed journal that publishes high-quality original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI), big data and informatics in the medical and healthcare industries to improve the quality and efficiency of healthcare. The journal publishes original articles, reviews, perspectives, research highlights and case reports that present the application of digital technologies in medical diagnostics and treatment, medical devices, machine learning-based decision support, medical record database and intelligent and process-aware information system in healthcare and medicine. We are committed to promoting the interdisciplinary research among clinicians, basic scientists and industrial experts and facilitating the clinical transformation of industrial technologies. Our ultimate mission is to enable the frontiers of science and technology better serve medicine and ultimately contribute to the healthcare of patients.
A New Hypothesis of Spin Supercurrent as Plausible Mechanism of Biological Nonlocal Interaction, Synchronicity, Quantum Communication
Authors: Umniyati Yunita , Christianto Victor , Smarandache Florentin 
Published: April 2022

We start with citing a seminal paper by Josephson-Pallikari-Viras, that biological entities can be assumed to be able to communicate nonlocally, i.e., instantaneously. However, they also admit that the underlying mechanism of such an entangled communication is not clear yet from the wave mechanical equations. Similar arguments have been pointed out by several authors, citing that quantum equations themselves have not described anything on a possible mechanism of quantum-type interaction between two biological entities. This chapter intends to fill that research gap by suggesting a new hypothesis of spin supercurrent as a physical mechanism, based on the assumption of macroquantum condensate having nonlocal effects. Moreover, we also draw several potential applications including superconductor quasi-crystalline structure of space and plausible new method of quantum communication. Such an argument is outlined herein partly based on our personal encounter with astrophysical quantization in the past 17 years or so.
Low-Vision Rehabilitation with Audio-Biofeedback in Age-Related Macular Degeneration
Authors: Sato Giovanni , Rizzo Roberta 
Published: April 2022

Audio-biofeedback (AFBF) with microperimetry is an important step in low-vision rehabilitation in age-related macular degeneration (AMD). After identifying the preferential retinal locus (PRL) with microperimetry, it is possible to begin rehabilitation to stabilize the PRL, increasing the quality of vision with 10 sessions of audio-biofeedback, at least one session per week, of 10 minutes for each eye. This involves presenting a chessboard grid in the site of fixation variable from the beginning to the end of the session. Audio-biofeedback allows for shifting the site of fixation to another point if the spontaneous fixation that the patient has found is not good to continue rehabilitation; at the end of biofeedback, we call this site the trained retinal locus (TRL) to differentiate it from the PRL. With audio-biofeedback, the low-vision patient with AMD acquires awareness about the best site of vision, thus improving the quality of vision, including better contrast sensitivity, visual acuity, color perception, and definition of the surrounding world.
Verrucous Squamous Hyperplasia of the Urinary Bladder: A Series of 23 Cases
Authors: Russell Daniel H. , Vang Russell , Epstein Jonathan I. 
Published: April 2022

Context.—
There is scant literature describing verrucous squamous hyperplasia of the urinary bladder.

Objective.—
To investigate the possible association between verrucous squamous hyperplasia and carcinoma.

Design.—
The case files of the senior author were searched for cases of verrucous squamous hyperplasia diagnosed between August 2010 and February 2021. Cases with available material were tested for in situ hybridization with human papillomavirus, and cases with available material unassociated with carcinoma underwent immunohistochemistry for p53.

Results.—
We gathered a series of 23 cases, the largest to date. Eleven cases were associated with carcinoma at diagnosis. Of the 7 cases unassociated with carcinoma in which follow-up was available, 1 patient (14.3%) was given a clinical diagnosis of carcinoma with recommended cystectomy, 2 (28.6%) had benign diagnoses, and 4 (57.1%) were dead not from disease. Of the 13 cases with available material, 13 (100%) were negative for human papillomavirus by high-risk in situ hybridization.

Conclusions.—
Based on the small number of cases with limited follow-up, it is unclear whether verrucous squamous hyperplasia represents a precursor lesion or simply a high-risk association. Until more evidence is accumulated, patients with verrucous squamous hyperplasia of the urinary bladder should receive close clinical follow-up.
Mulheres com deficiência vivendo em contexto rural: situações de vulnerabilidade e proteção
Authors: Missio Maira , Silva Ethel Bastos da , Arboit Jaqueline , Costa Marta Cocco da , Coelho Alexa Pupiara Flores , Jahn Alice do Carmo 
Published: April 2022

Objetivo: analisar as situações de vulnerabilidade e de proteção vivenciadas por mulheres com deficiência em contexto rural. Método: estudo qualitativo, descritivo e exploratório, realizado com dez mulheres com deficiência residentes em áreas rurais de cinco municípios das regiões norte e noroeste do Rio Grande do Sul, Brasil. As entrevistas ocorreram nos domicílios nos meses de janeiro a junho de 2019. O material empírico foi gravado, transcrito e submetido à análise temática de conteúdo. Resultados: as vulnerabilidades desveladas foram: restrições de responsabilidade, educação, trabalho, renda, autonomia e benefício social. Quanto às condições potencializadoras de proteção às vulnerabilidades, observaram-se vínculos fortes com a Estratégia Saúde da Família Rural e a Associação de Pais e Amigos dos Excepcionais e recebimento do Benefício de Prestação Continuada. Conclusão: ações de equipes de saúde rural articuladas na rede de atenção auxiliam na superação de fragilidades de mulheres com deficiência.
Conhecimento de adolescentes sobre álcool e outras drogas e sua opinião acerca das tecnologias educacionais
Authors: Chaves Laura Cristhiane Mendonça Rezende , Frazão Iracema da Silva , Oliveira Letícia Menezes de , Abrantes Gesualdo Gonçalves de , Dalcin Camila Biazus , Vasconcelos Selene Cordeiro 
Published: April 2022

Objetivo: investigar o conhecimento de adolescentes escolares sobre álcool e outras drogas e sua opinião acerca de tecnologias educacionais para prevenção do consumo. Método: estudo descritivo com abordagem qualitativa realizado com 86 adolescentes cursando o ensino médio. Os dados foram coletados utilizando um instrumento de aplicação autoadministrada e processados nos programas IRaMuTeQ 0.7 alpha 2 e SPSS versão 20.0. Resultados: a análise lexical mostrou três classes semânticas: consequência, representação e definição do álcool e outras drogas para os adolescentes. A tecnologia educacional escolhida pela maioria foi o vídeo e o aplicativo móvel, que versam sobre consequências e efeitos associados ao uso das substâncias e as formas de se evitar ou até mesmo utilizá-las. Conclusão: os resultados mostraram que os adolescentes possuem pouco conhecimento sobre a temática e que tecnologias educacionais digitais podem ser estratégias de educação em saúde eficazes para prevenção do consumo de álcool e outras drogas entre o público-alvo.
Associação entre doenças cardiometabólicas autorreferidas, violência e uso de drogas em caminhoneiros
Authors: Pereira Nayline Martins , Araújo Lúcio Borges de , Bertussi Vanessa Cristina , Carrijo Glória Terezinha , Junqueira Marcelle Aparecida de Barros 
Published: April 2022

Objetivo: analisar a associação entre doenças cardiometabólicas, violência sofrida e uso de drogas em caminhoneiros. Método: estudo transversal que envolveu 235 motoristas que estiveram em um posto de combustível no município de Uberlândia (MG), Brasil. Os dados foram coletados por meio de entrevistas autorrelatadas e aplicados os Testes de Qui Quadrado e Regressão Logística, adotando-se um nível de significância de 0,05 para todas as variáveis. Resultados: observou-se uma relação entre os eventos violentos no trânsito e algumas doenças cardiometabólicas, especialmente a doença vascular periférica (OR=6,00 (IC 95% 2,47-14,56) e a obesidade (OR=2,56 (IC 95% 1,42-4,62); sendo que também o abuso de álcool (OR=4,16 (IC 95% 1,53-11,29) e tabaco (OR=2,68 (IC 95% 1,10-6,51) se relacionaram com essas patologias. Conclusão: exposição a assaltos e acidentes de trânsito, e uso de álcool e tabaco foram associados a uma maior chance de prevalência das doenças cardiometabólicas entre caminhoneiros.
Coleta de dados para pesquisa quantitativa online na pandemia da COVID-19: relato de experiência
Authors: Pedroso Gabrielle Guedes , Ferreira Ana Carolina Vidigal Vieira , Silva Camila Custódio da , Silva Giulia Alvim Bassani , Lanza Fernanda Moura , Coelho Angélica da Conceição Oliveira 
Published: April 2022

Objetivo: relatar a experiência de pesquisadores na condução da coleta de dados online em uma pesquisa com abordagem quantitativa. Método: relato de experiência sobre a coleta de dados da pesquisa “Uso de equipamentos de proteção individual pelos profissionais de saúde no combate à COVID 19” ocorrida entre agosto de 2020 e março de 2021 por meio de questionário autoaplicável virtual. Resultados: utilizou-se como estratégias de divulgação da pesquisa, a criação de site e redes sociais, o envio de cartaz acompanhado de texto específico com link clicável pelo Whatsapp®, contatos por e-mail e por telefone, além da estratégia de sementes. Durante a coleta de dados, observaram-se fatores dificultadores e facilitadores. Como contribuição social, foi disponibilizado o curso “Biossegurança: Boas Práticas na atuação frente à COVID-19”. Conclusão: a coleta de dados online proporcionou a realização de uma pesquisa de abrangência nacional com baixo custo, mas com pouca participação perante a população elegível.
Creativity, Productivity, Aging
Authors: Hutcheon Linda , Hutcheon Michael 
Published: April 2022

British composer Benjamin Britten (1913-1976) died at the age of only six- ty-three, but ill health in his last years parachuted him into what he himself saw as older age and its consequences. His story of challenge and adaptation allows us to examine the particular impact of illness and impairment on the role of productivity in definitions of creativity. Composing was the life blood of this prolific artist, known for his work ethic and professionalism. Though he completed only nine independent works after his operation, the last works stand as some of his best creations.
Britten’s sense of selfhood depended to a large extent upon this self-iden- tification as an active working composer. While he retained this to the end, his other life narrative had to be abandoned with his sudden entry into older age: that of being ever youthful. His self-fashioning as youthful and his tastes— in food, humor, habits—were formed in boyhood and never changed. Yet, through his letters and creative work, Britten reconstructed in the face of the challenges of aging that evolving life narrative of himself as the professional “working composer” that enabled his continuing creativity.
CGCNImp: a causal graph convolutional network for multivariate time series imputation
Authors: Liu Caizheng , Cui Guangfan , Liu Shenghua 
Published: April 2022

Background
Multivariate time series data generally contains missing values, which can be an obstacle to subsequent analysis and may compromise downstream applications. One challenge in this endeavor is the presence of the missing values brought about by sensor failure and transmission packet loss. Imputation is the usual remedy in such circumstances. However, in some multivariate time series data, the complex correlation and temporal dependencies, coupled with the non-stationarity of the data, make imputation difficult.

Mehods
To address this problem, we propose a novel model for multivariate time series imputation called CGCNImp that considers both correlation and temporal dependency modeling. The correlation dependency module leverages neural Granger causality and a GCN to capture the correlation dependencies among different attributes of the time series data, while the temporal dependency module relies on an attention-driven long short term memory (LSTM) and a time lag matrix to learn its dependencies. Missing values and noise are addressed with total variation reconstruction.

Results
We conduct thorough empirical analyses on two real-world datasets. Imputation results show that CGCNImp achieves state-of-the-art performance when compared to previous methods.
Digital Behaviour in Gastronomy Tourism: The Consumption Pattern of Millennial Tourists
Authors: Wachyuni Suci Sandi , Priyambodo Tri Kuntoro , Widiyastuti Dyah , Sudarmadji . 
Published: April 2022

Aims: This study aims to analyse the consumption behaviour of millennial tourists in gastronomic tours starting from the stages before, during, and after gastronomic tours, especially in the use of information technology.
Place and Duration of Study: This research is done in Yogyakarta and Solo between February 2021 and March 2021.
Methodology: This research was conducted with a quantitative approach by collecting data using a questionnaire distributed through an online survey. One hundred twenty-two respondents participated and answered thoroughly. The data analysis technique used is Descriptive Statistics and Regression Analysis.
Results: This study shows that most millennial tourists use digital media intensely before, during, and after a gastronomic tour. Digital media is used to find local culinary information and share experiences. Other findings show that social media positively contributes to determining local culinary purchasing decisions in gastronomic destinations by 38.5%.
Conclusions: Millennial tourists usually use digital media pre-, on-, and post-travel. Digital media is used as a source of trusted information and a tool for determining local culinary consumption.
Implications of this Study: This research provides theoretical implications which show that millennial tourists have unique characteristics in every phase of gastronomic tourism. The practical implication of this research is that the findings of this study can be used as suggestions and input for local culinary entrepreneurs to adapt to the digital behaviour of millennial tourists. Entrepreneurs and destination administrators must focus on digital media promotions to effectively reach millennial tourists.
Assessment of Rice Hybrids on Growth, Yield and Economics under Different Agro-climatic Conditions in India
Authors: Kumar Golla Shantha , Singh Vikram , George Shruti Grace , Vivek . 
Published: April 2022

The field experimental trial was carried out during kharif season 2021 at CRF SHUATS, Prayagraj, U.P. Experiment was laid out in statistically Randomized Block Design (RBD). The soil of experimental field was sandy loam in texture, nearly neutral in soil reaction (pH 7.2), low in organic carbon (0.35%), available nitrogen (108 kg/ha), P2O5 (22.15 kg/ha) and available K2O (280 kg/ha). The experimental result revealed that the hybrid UR-16 has recorded significantly higher in growth and yield attributes. Growth attributes viz., Plant height (120.57 cm), Number of tillers/hill (15.07), Maximum dry weight (55.91 g). Yield attributes viz., Panicle length (28.41 cm), Test weight (26.48 g) and yields viz., Grain yield per hill (28.37 g), Grain yield (6.85 t/ha), Straw yield (12.96 t/ha) and the same hybrid has also obtained maximum gross returns (589860.00 INR/ha), net returns (95174.00 INR/ha), and B:C ratio (1.76).
Evaluation of Risk Factors in COVID- 19 Patients Presenting in a Nigerian Teaching Hospital
Authors: Orugbo Voke Peter , Ohaju-Obodo John 
Published: April 2022

Aim: The study's goal was to look into the relationship between disease incidence, clinical symptoms, and comorbidities in COVID patients at the Delta State University Teaching Hospital Isolation Centre in Delta State, Nigeria, to see if they were COVID risk factors.
Study Design: The study relied on case notes and clinical records of 80 study participants
Place and Duration of Study: The study was conducted at the COVID-19 Isolation Centre affiliated to Delta State University Teaching Hospital (DELSUTH), Oghara, Delta State, Nigeria. It was a one-off sampling study.
Methodology: COVID-positive patients at the Isolation Centre were separated from the Control group. In this study, the control group refered to those who tested negative or unconfirmed. Participants were people in the community who appeared to be of a similar age and appeared to be in good health. Both groups of participants' clinical records were acquired. A total of 80 participants were thus recruited for the study. The clinical records of both groups were compiled and examined after due authorization.
Results: The results showed that 51 of the 80 participants tested positive for COVID-19 at the designated study center. The majority of COVID patients were between the ages of 30 and 59, which is human active age. The majority of COVID patients had diabetes miletus, accounting for more than 25% of the total. The majority of the participants had normal blood pressure: 34.6% of unconfirmed cases, 52.9% of COVID patients, and 100% of those who were COVID negative.
Conclusion: Respiratory failure, AKI, cardiac arrest, hypoxic brain injury, UTI, and Gastritis were among the most common complications identified by study participants.
A Review on Impurity Profiling, Degradation Studies, and Bioanalytical Methods of Anti-diabetic Drugs
Authors: Deshpande Mahesh M. , Bhalerao Madhuri H. , Pabale Pooja D. 
Published: April 2022

According to ICH Q3A(R), the impurity in a new drug substance is “any component of a new drug substance that is not the chemical entity defined as a new drug substance”. As Per ICH Q3B(R), the impurity in a new drug product is “any component of the drug product that is not the drug substance and excipients in the drug product. “The forced degradation studies are used to facilitate the development of analytical methodology, to achieve a better understanding of the drug substance and the drug product stability, and to determine degradation pathways and the degradation products. This study will help to get the most stable formulation. The bioanalytical method development and validation is an essential part in the drug discovery and development. There is need to develop and validate bioanalytical methods, as sponsors have to submit clinical pharmacology, bioavailability, bioequivalence, pharmacokinetic evaluation along with non-human pharmacology and toxicology studies and preclinical studies to regulatory authorities. There are number of spectroscopic methods includes Ultraviolet spectroscopy, Mass spectroscopy, Nuclear magnetic resonance spectroscopy and Chromatographic methods includes HPLC,HPTLC,GC,UPLC as well as hyphenated techniques like LC-MS, LC/ESI-MS, LC-NMR-MS used for identification and characterization of impurities in an API and the drug products forced degradation study to obtain stability data and bioanalytical methods.
The uniqueness of this review is that it describes the detail information and background explaining impurities, forced degradation and bioanalytical method development and validation as well as all literature available regarding development and validation of all said methods for the drugs and the drug products used to treat type 2 diabetes.
Two‐stage gradient‐based iterative algorithms for the fractional‐order nonlinear systems by using the hierarchical identification principle
Authors: Wang Junwei , Ji Yan , Zhang Xiao , Xu Ling 
Published: April 2022

SummaryThis article focuses on the parameter estimation issues for a fractional‐order nonlinear system with autoregressive noise. In the process, the challenge and difficulty are to identify the parameters of the system as well as the order. To reduce the complexity of the structure, we split the system into two subsystems by utilizing the hierarchical identification principle and derive a two‐stage gradient‐based iterative (2S‐GI) algorithm by minimizing two criterion functions. Compared with the calculation amount of the gradient‐based iterative algorithm, the computation of the 2S‐GI algorithm is significantly reduced. Moreover, in order to improve the identification accuracy, we propose a two‐stage moving‐data‐window gradient‐based iterative algorithm. Finally, the simulation examples test the effectiveness of the proposed algorithms.