bluuebunny/crossref_metadata_2025_split huggingface dataset:
Education in Ukraine and Covid-19: New Perspectives and Opportunities
Authors: Tatiana Suhak Iryna Shtuler, 
Published: April 2021

Officially, the COVID-19 pandemic reached Ukraine in March 2020 and came to Ukraine at a time when the national economy was not in the best condition. In fact, the COVID-19 pandemic has transformed not only the structure of the national economy, but also the way of doing business. This is evidenced by indicators that reflect changes in the structure of gross domestic product, changes in the structure of employment and marketing tools.
The COVID-19 pandemic has already led to a financial crisis and a crisis in certain areas and sectors of the economy, but there are those who have benefited from quarantine measures. However, there are industries and areas of activity for which the COVID-19 pandemic has given a good start and revenue growth.
Timely response and targeted action will reduce the negative impact of the COVID-19 pandemic, prevent a decline in business activity, create conditions for the development of Ukrainian manufacturers and reduce the impact of the crisis caused by the COVID-19 pandemic.
A comparison of pain and disability scores in different grades of knee OA before and after low level laser therapy (LLLT)
Authors: Kumar M Arun , D Venkatesh 
Published: April 2021

Osteoarthritis of knee (KOA) is the most common cause of morbidity in the elderly. As the knee joint is involved in weight- bearing, aging causes wear and tear of cartilages in the knee joint resulting in degenerative changes. Kellgren-Lawrence grading of knee OA are described according to the findings noted on the X-ray of Knee Joint. Low-level laser therapy in the management of knee osteoarthritis. The assessment of pain and disability in subjects with grade II and grade III KOA before and after the low-level laser therapy was done using the questionnaires. Forty-five Subjects who are symptomatic and who had radiological criteria based on Kellgren-Lawrence (KL) grade II and III were included in the study. Visual analog scale (VAS), Western Ontario and McMaster Universities Arthritis Index (WOMAC) and Lequesne index of pain and disability was used before and after low level laser therapy in the subjects of the study. There was no statistical difference between the grade II and grade III KOA for VAS, WOMAC scores. However, there was statistically significant difference in Lequesne index scores between the grade III KOA participants (p = 0.027) not for grade II KOA. Lequesne index had a smaller number of question when compared to WOMAC and more specific questions when compared to VAS. The questionnaire is specific to assessment of progression of functional status of the individual in grade III knee OA.
Motivação do Serviço Público: desvelando o tema sob a égide da produção científica internacional
Authors: Oliveira Jefferson Menezes de , Estivalete Vania De Fátima Barros , Parcianello José Adroaldo , Pissutti Matheus , Malheiros Michel Barboza 
Published: April 2021

Este estudo teve por objetivo analisar a produção científica internacional relativa à Motivação do Serviço Público (MSP) no período compreendido entre os anos de 2007 e 2018. Por meio de uma revisão sistemática da literatura, 219 artigos, indexados à base de dados Web of Science, foram analisados de forma quantitativa e qualitativa. A evolução anual das publicações relacionadas à MSP demonstrou que a temática está em ascensão nos últimos anos, sobretudo, em periódicos de administração pública. Mesmo com uma diversificação na autoria dos artigos, percebeu-se uma prevalência da origem norte-americana. As pesquisas concentraram-se em estratégias metodológicas quantitativas, com predominância da pesquisa survey e uso de questionários. Também se observou que o modelo de mensuração da MSP proposto por Perry (1996) é o mais utilizado, contudo, de forma adaptada na maioria dos casos. Ainda, nos estudos explorados, apurou-se a associação do construto com diversas temáticas, havendo destaque para a satisfação no trabalho.
Uma avaliação da flexibilização da jornada de trabalho na Universidade de Brasília
Authors: Almeida Alexandre Nascimento de , Nunes André , Souza Junior Celso Vila Nova de 
Published: April 2021

A flexibilização da jornada de trabalho pode gerar benefícios institucionais e individuais. Todavia, a efetividade da implementação dessa política demanda planejamento e conhecimento da instituição. Assim, o objetivo deste trabalho foi avaliar as vantagens e desvantagens da política de flexibilização com redução da jornada de trabalho na Universidade de Brasília (UnB). Para tanto, os servidores da UnB responderam um questionário e indicaram o seu grau de concordância para seis variáveis relacionadas às vantagens e cinco relacionadas às desvantagens dessa política. A análise dos dados contou com gráficos Box Plot e o teste não paramétrico de Mann-Whitney. As principais vantagens foram relacionadas a um aumento de tempo livre do servidor em horário comercial, redução de interrupções no trabalho e melhor atendimento no período diurno e noturno da universidade. Entre as desvantagens analisadas, a necessidade da contratação de servidores para a implementação adequada da política se destacou. Em geral, os servidores da UnB concordaram com todas as vantagens analisadas e minimizaram os problemas decorrentes das possíveis desvantagens.
Desafios na gestão de recursos de um campus universitário federal na perspectiva da teoria da dependência de recursos
Authors: Costa Gracilene Maria Silva dos Santos , Freitas Florence Cavalcanti Heber Pedreira de , Silva Manuela Ramos da , Silva Marcio Roque Dos Santos da 
Published: April 2021

Este artigo tem como objetivo analisar os desafios na gestão de recursos do Campus Universitário de Lagarto da Universidade Federal de Sergipe, o qual adota integralmente Metodologias Ativas no ensino, a partir da Teoria da Dependência de Recursos. Metodologicamente, realizou-se um estudo de caso sob abordagem mista, tendo como fontes de evidências entrevistas com gestores e ex-gestores do campus, aplicação de questionários junto aos alunos, pesquisa documental e observação participante assistemática. A partir da técnica de Análise das Narrativas, constatou-se que os maiores desafios estão associados à infraestrutura e recursos financeiros, assim como capacitação de docentes e servidores no trato com as metodologias ativas. Esses aspectos influenciam a manutenção da qualidade e inovação contínua do processo de ensino-aprendizagem baseado em metodologias ativas, haja vista a demanda por recursos específicos, o que apontou a necessidade de desenvolver práticas estratégicas para mitigar os problemas enfrentados. Dessa forma, promove-se contribuições acerca da relevância de compreender os aspectos subjacentes que influenciam a eficiência da utilização integral de metodologias diferenciadas em uma instituição deensino superior.
The value of ultrasound in the multivariate assessment complications of permanent vascular access for hemodialysis
Authors: Zakhmatova T. V. , Koen V. S. , Shtentsel R. E. 
Published: April 2021

Background. The maximum duration of vascular access for hemodialysis functioning rarely exceeds 4 years. The main tool for diagnosing access dysfunction is duplex ultrasound. Dynamic ultrasound examination of vascular access is not included in the standard examination of patient undergoing hemodialysis in Russia.Objective. To study the structure of complications and changes in hemodynamics in the vascular access for hemodialysis and to determine the risk factors contributing to its development.Design and methods. Ultrasound, clinical and laboratory examination was performed in 550 patients undergoing program hemodialysis, 517 (94.0 %) of them had arteriovenous fistula, 33 (6.0 %) patients had arteriovenous graft.Results. Vascular access complications occurred in 26.7 % (147 patients), there was no significant difference in the detection rate of thrombosis (26.5 %), stenosis (23.8 %), and aneurysm (21.1 %). A combination of two complications was observed in 20.4 %, the steal syndrome — in 8.2 %. A correlation was established between the presence of significant stenosis, aneurysm of the outflow vein and the development of thrombosis, between the presence of concomitant diseases of the peripheral arteries and the development of steal syndrome and stenosis of the inflow artery and the anastomosis zone.Conclusion. Duplex ultrasound allows to diagnose complications of vascular access for hemodialysis and determine its causes.
Neurofeedback training of control network improves SSVEP-based BCI performance in children
Authors: Jingnan Sun , He Jing , Gao Xiaorong 
Published: April 2021

Abstract
Background: In the past 20 years, neural engineering has made unprecedented progress in the interpretation of brain information (e.g., brain-computer interfaces) and neuromodulation (e.g., electromagnetic stimulation and neurofeedback). However, the study of improving the performance of the brain-computer interface (BCI) using the neuromodulation method rarely exists. The present study designs a neurofeedback training method to improve the performance of steady-state visual evoked potential (SSVEP) BCI and further explores its underlying mechanisms. Methods: As the parietal lobe is the sole hub of information transmission, up-regulating alpha-band power of the parietal lobe by neurofeedback training was presented in this study as a new neural modulation method to improve SSVEP-based BCI in this study. Results: After this neurofeedback training (NFT), the signal-to-noise ratio (SNR), accuracy, and information transfer rate (ITR) of SSVEP-based BCI were increased by 5.8%, 4.7%, and 15.6% respectively. However, no improvement has been observed in the control group in which the subjects do not participate in NFT. Evidence from the network analysis and attention test further indicate that NFT improves attention via developing the control ability of the parietal lobe and then enhances the above SSVEP indicators.Conclusion: Up-regulating parietal alpha-amplitude using neurofeedback training significantly improves the SSVEP-baesd BCI performance through modulating the control network. The study validates an effective neuromodulation method, and possibly also contributes to explaining the function of the parietal lobe in the control network.
Bioinformatics Analysis of Prognostic Significance of VPS72 and Correlations with Immune Infiltrates in Hepatocellular Carcinoma
Authors: Gui Yonghui , Liu Xueni , Wang Chao , Yang Peng 
Published: April 2021

Abstract
Background

VPS72 is part of the EP400 and Snf2-related CBP-activator protein (SRCAP) chromatin remodeling complexes, and the prognostic value of VPS72 in hepatocellular carcinoma has not been reported.
Methods

we used the Oncomine, UALCAN, GEPIA, String and Timer databases to study the expression of VPS72 in hepatocellular carcinoma.
Results

We found the overexpression of VPS72 was markedly correlated with clinical stages and pathological grades in LIHC, higher mRNA expression of VPS72 was significantly related with shorter overall survival. Moreover, we found that VPS72 promoter hyper-methylation in liver cancer is different and significant. Furthermore, we identified significant correlations among the expression of VPS72 and infiltration of B cells, CD4 + T cells, CD8 + T cells, macrophages, neutrophils, and dendritic cells in LIHC. Then we searched the protein interaction network of VPS72 by string.
Conclusion

VPS72 may be used as prognostic biomarkers and immunotherapeutic targets LIHC patients.
Exponential Stability Analysis and Application of Parameters Switched Neural Networks Via Intermittent Observation and Feedback Control
Authors: Zhou Xianghui , Yan Zizong , Kong Fanchao , Zhou Wuneng 
Published: April 2021

Abstract
This paper deals with a type of the exponential stability problem for the switched neural networks with timevarying delays driven by Brownian noise. As a prerequisite to main theorem, the existence and uniqueness of the solution to the main system are proved via contraction map theory. Based on intermittent observation control, the stability trajectory of the switched neural networks with time-varying delays is obtained. Employing stochastic analysis method, the exponential stability conditions are established via applying It^o formula and the matched pair technique. A numerical example for the main system with respect to intermittent observation control is provided to illustrate the effectiveness of results and potential of the proposed techniques. Meanwhile, the feasibility of stability control in multiagents system is verified by the method obtained.
Thermal imaging to assess the crop water status of melon plants under tropical semi-arid climate
Authors: Aragão Márcio Facundo , Neto Luis Gonzaga Pinheiro , Viana Thales Vinícius de Araújo , Manzano-Juarez Juan , Lacerda Claudivan Feitosa , Azevedo Benito Moreira 
Published: April 2021

Abstract
Deficit irrigation (DI) strategies and soil cover are highly effective to improve the the water productivity in semi-arid regions. However, the effective monitoring of plant water status under DI strategies becomes crucial. The main objective of this study was to evaluate the use of thermal images to estimate the water status of melon plants cultivated in soil with and without mulching under different irrigation regimes. The experience was carried out from October to December 2018. The study was carried out in a randomized block design, in a split plot arrangement. Plots were composed by soil cover (with and without mulching with plant material), and subplots by 5 irrigation regimes (120, 100, 80, 60 and 40% of crop evapotranspiration-ETc), with five replicates. The following variables were evaluated: canopy temperature (Tcanopy), leaf water potential (Ψleaf), air temperature (Tair), soil moisture, crop yield and the thermal index (ΔT), this being defined as the difference between Tcanopy and Tair. ΔT showed high correlations with crop yield and crop water consumption, evidencing that thermography is an efficient tool to identify the water status of melon plants and could be employed for a proper irrigation scheduling under the tropical semi-arid scenarios. Moreover, the use of thermal images also allowed the identification of beneficial effects of soil cover on leaf water status and crop yield, mainly under moderate DI. The obtained results also demonstrate that mulching is essential to increase melon yield and water productivity in tropical regions.
Object Pose Estimation for Robot Loading in Accommodation Space Using Alpha-Shape Algorithm
Authors: Guo Qingda , Tang Lulu , Zhang Jianchi 
Published: April 2021

Abstract
Robots with visual sensors have been used in various goods logistics, such as bin picking or uploading. However, there are more and more demands for the automatic blanking and loading, it is necessary to solve the problem of object pose estimation in changing accommodation space. This paper proposes a method for pose estimation in the accommodation space using alpha-shape algorithm and improved Fruit fly Optimization Algorithm (FOA). The alpha-shape volume variety of object and measured space is set to the objective function and the pose variety of object is set to six variables of improved FOA. The experiments were performed by setting parameters of improved FOA and considering the four space types represented the common accommodation shapes. Compared with previous work using convex hull, the new study using alpha-shape algorithm not only keeps the object in the accommodation space, but also maintains the object pose is at the bottom of the space and can meet the practical requirement of object placement by robot arms.
Bioinformatics Analysis of C3 and CXCR4 act as Potential Prognostic Biomarkers in Clear Cell Renal Cell Carcinoma (ccRCC)
Authors: Quan Jing , BAI YUCHEN , Yang YunBei , Han ErLei , Bai Hong , Zhang Qi , Zhang DaHong 
Published: April 2021

Abstract
Background: The molecular pathogenesis of ccRCC was still unknown. Hence, the ccRCC-associated genes needs to explored.Methods: Three ccRCC expression microarray datasets (GSE14762, GSE66270 and GSE53757) downloaded from gene expression omnibus (GEO) database. The distinguish of expressed genes (DEGs) between ccRCC and normal tissue was discuss and explored. the function of our DEGs was analyzed by Gene Ontology (GO) ,Kyoto Encyclopedia of Genes and Genomes (KEGG) .Then the protein‑protein interaction network (PPI) was established in order to screen the hub genes. Then the expressions of hub genes were identified by oncomine database.The prognostic values of hub genes were analyzed by GEPIA database in ccRCC patients. Result: A total of 137 DREs were analyzed, which including 63 upregulated genes and 74 downregulated genes. According to our result,137 DREs were mainly enriched in 82 functional terms and 24 pathways. 14 highest-scoring genes were screened as hub gene in the PPI network which including 12 upregulated candidate genes and 2 downregulated candidate genes. The result reveals that patients with higher C3 expression related to poor OS, while patients with high expression of CTSS and TLR3 related to better OS. Patients with high C3 and CXCR4 expression had a poor DFS, while ccRCC patients with high expression of TLR3 had better DFS. At last, C3 and CXCR4 were selected to detect the prognosis of patients with ccRCC.Conclusion: The result identified the C3 and CXCR4 as candidate biomarkers and potential therapeutic targets in the molecular mechanism and individual treatment of ccRCC.
Estimating Red Fox Density Using Non-Invasive Genetic Sampling and Spatial Capture-Recapture Modeling
Authors: Lindsø Lars , Dupont Pierre , Rød-Eriksen Lars , Andersskog Ida Pernille Øystese , Ulvund Kristine Roaldsnes , Flagstad Øystein , Bischof Richard , Eide Nina Elisabeth 
Published: April 2021

Abstract
Spatial capture-recapture modelling (SCR) is a powerful tool for estimating densities, population size and space use of elusive animals. Here, we applied SCR modeling to non-invasive genetic sampling (NGS) data to estimate red fox (Vulpes vulpes) densities in two areas of boreal forest in central (2016 - 2018) and southern Norway (2017 - 2018). Estimated densities were overall lower in the northern study area (mean = 0.04 foxes per km2 [95%CI: 0.02-0.09] in 2016, 0.09 [0.05-0.18] in 2017 and 0.07 [0.04-0.13] in 2018) compared to the southern study area (0.16 [0.09-0.26] in 2017 and 0.10 [0.07-0.16] in 2018). We found a positive effect of forest cover on density in the northern, but not the southern study area. The absence of an effect in the southern area may reflect a paucity of evidence caused by low variation in forest cover, but could also be due to climatic differences (e.g., winter severity) between the two areas. Estimated mean home range size in the northern study area was 45 km2 [34-60] for females and 88 km2 [69-113] for males. Mean home range sizes were smaller in the southern study area (26 km2 [16-42] for females and 56 km2 [35-91] for males). In both study areas, detection probability was session-dependent and affected by sampling effort. This study highlights how SCR modeling in combination with NGS can be used to efficiently monitor red fox populations, and simultaneously incorporate ecological factors and estimate their effects on population density and space-use.
Homeobox B7 is a Newly Hypothesized Oncogene Promoting Tumorigenesis in Head and Neck Squamous Cell Carcinoma
Authors: Wu Xiang , Li Jin , Yan Tingyuan , Ke Xueping , Li Xin , Zhu Yumin , Yang Jianrong , Li Zhongwu 
Published: April 2021

Abstract
Background: The core member of Homeobox gene family, Homeobox B7 (HOXB7), deregulating in multiple cancers, is considered as a pro-tumorigenic transcription factor. However, the pro-tumorigenic role in head neck squamous cell carcinoma (HNSCC) have not been reported yet. Methods: Publicly available databases of HNSCC were used to datamining the expression of HOXB7 in HNSCC. Immunohistochemistry was used to measure protein level in a retrospective cohort of primary HNSCC specimens with assessment of the associations between IHC results and various clinicopathological parameters and patient outcome data. The pro-tumorigenic roles of HOXB7 in HNSCC were further delineated in vitro and in vivo by loss-of-function assay. Cancerous analysis & treatment strategy of HOXB7 was assessed by combination of functional enrichment analysis and the Connectivity Map (CMap) analysis.Results: In 8 HNSCC cohorts, HOXB7 mRNA was significantly over-expansion. HOXB7 protein was markedly upregulated in HNSCC samples as compared to normal counterparts and its overexpression significantly associated with large pathological grade, clinical stage, cervical node metastasis (chi-square test, P = .03, .0152, .0195) and reduced overall and disease-free survival (Kaplan-Mier analyses, Log-rank test, P = .0007, .0014). Univariate and multivariate survival analyses further revealed HOXB7 protein abundance as an independent prognostic factor for patients’ overall survival. Moreover, HOXB7 knockdown significantly inhibited cell proliferation, migration and invasion, stemness maintenance, and induced cell apoptosis in HNSCC cells, and resulted in compromised tumour growth in vivo. Furthermore, we screened 3 small molecule drugs potentially effective targeting HOXB7 by performing a CMAP analysis.Conclusions: This research on HOXB7 developed a framework to identify a robust novel cancer biomarker on diagnosis and prognosis, and given a potentially available therapeutic strategy for the treatment of HNSCC.
A Novel Ferroptosis-Related Genes Model for Prognosis Prediction of Lung Adenocarcinoma
Authors: Li Fei , Ge Dongcen , Sun Shu-lan 
Published: April 2021

Abstract
Background. Ferroptosis is a newly discovered form of cell death characterized by iron-dependent lipid peroxidation. The aim of this study is to investigate the relationship between ferroptosis and the prognosis of lung adenocarcinoma (LUAD).Methods. RNA-seq data was collected from the LUAD dataset of The Cancer Genome Altas (TCGA) database. We used ferroptosis-related genes as the basis, and identify the differential expression genes (DEGs) between cancer and paracancer. The univariate Cox regression analysis were used to screen the prognostic-related genes. We divided the patients into training and validation sets. Then, we screened out key genes and built a 5 genes prognostic prediction model by the applications of the least absolute shrinkage and selection operator (LASSO) 10-fold cross-validation and the multi-variate Cox regression analysis. We divided the cases by the median value of risk score and validated this model in the validation set. Meanwhile, we analyzed the somatic mutations, and estimated the score of immune infiltration in the high- and low-risk groups, as well as performed functional enrichment analysis of DEGs.Results. The result revealed that the high-risk score triggered the worse prognosis. The maximum area under curve (AUC) of the training set and the validation set of in this study was 0.7 and 0.69. Moreover, we integrated the age, gender, and tumor stage to construct the composite nomogram. The charts indicated that the AUC of cases with survival time of 1, 3 and 5 years are 0.698, 0.71 and 0.73. In addition, the mutation frequency of patients in the high-risk group was higher than that in the low-risk group. Simultaneously, DEGs were mainly enriched in ferroptosis-related pathways by analyzing the functional results.Conclusion. This study constructed a novel LUAD prognosis prediction model base on 5 ferroptosis-related genes, which can provide a prognostic evaluation tool for the clinical therapeutic decision.