bluuebunny/crossref_metadata_2025 huggingface dataset:
Relações entre endometriose e a ocorrência de placenta prévia: uma revisão sistemática
Authors: Nascimento José William Araújo do , Roque Geicianfran da Silva Lima , Quixabeira Carina Gleice Tabosa , Flor Isabela Oliveira da Silva , Cunha Bianca Priscila Vasconcelos da , Souza Sabrina Laleska da Silva , Silva Carla Lins da , Santos Wályssa Cheiza Fernandes , Santana Manoela Rodrigues de , Sial Marcela Mayne de Almeida
Published: May 2022

Objetivo: Analisar a associação entre endometriose e a ocorrência de placenta prévia. Metodologia: Trata-se de uma revisão sistemática realizada por meio do método PRISMA, nas bases de dados eletrônicas PubMed, Scopus e Web of Science, por meio dos seguintes descritores: “endometriosis”, “endometrioma”, “chocolate cyst”, “placenta previa”, “low lying placenta” e “abnormal placenta”. Foram incluídos artigos completos, disponíveis em português, inglês ou espanhol; publicados entre janeiro de 2016 a dezembro de 2021; que realizaram estudo comparativo entre um grupo experimental e um grupo controle; estudos que mostraram as incidências de placenta prévia com dados estatísticos. Resultados: 11 artigos compuseram a amostra final desse estudo, com maior frequência de publicação em 2019 (n: 03). Grande parte das pesquisas utilizaram o estudo de coorte retrospectivo, apresentando nível de evidência moderado (III). Todos os estudos compararam gestantes com ou sem endometriose, onde todos demonstraram que as mulheres com endometriose tiveram uma maior taxa de placenta prévia, com Odds Ratio (Razão de probabilidade) variando entre 0,56 a 6,42 e significância estatística. Conclusão: Os achados dessa pesquisa sugerem que, embora com base em um pequeno número de estudos, a endometriose possa ser um possível fator de risco para a ocorrência de placenta prévia, excluindo os fatores de confusão, que não foi considerado para análise. Esses achados podem auxiliar os profissionais de saúde a estarem mais atentos à possíveis complicações durante o curso da gestação e momento do parto.
As principais considerações clínicas da osteoporose para a saúde pública
Authors: Carvalho Lanna do Carmo , Caiado Nuno Brandão Di Barros Cachapuz , Mendes Aderrone Vieira , Souza Arthur Bezerra de , Formiga Júnior José Alencar , Franzoni Isabella , Silva Marivaldo de Moraes e , Queiroz Pollyana Mayara , Vasconcelos Henrique Bernardes , Duarte Thaynara Virgínia , Ferreira Marília Gabriela
Published: May 2022

A osteoporose se trata de uma patologia osteometabólica, caracterizada pelo déficit de cálcio e deformação da microestrutura óssea e suscetibilidade às fraturas. Com o maior envelhecimento da população, predisposição genética, a predominância do sexo feminino e uso de determinados fármacos este achado aumentou muito sua incidência e caracteriza um potencial de risco a população. O seguinte artigo objetivou descrever as principais considerações clínicas da osteoporose para a saúde pública. Trata-se de uma revisão narrativa de literatura fundamentada nas plataformas do SciELO, PubMed, LILACS, Reasearch, Society and Development e Google Acadêmico no recorte de tempo de 2002 a 2022, utilizando-se os seguintes descritores: osso; déficit de cálcio; osteoporose. A osteoporose é uma doença osteometabólica que possui várias classificações, inúmeras etiologias, um quadro clínico que depende da intensidade, extensão e grau de acometimento. Sendo imprescindível realizar a identificação de cada um desses determinantes para se conduzir adequadamente a terapêutica do paciente de modo a promover qualidade de vida, prevenção de agravos e básicos índices de remissão. Existem muitas informações pertinentes ao tema na literatura científica, logo é essencial os profissionais da área da saúde é a comunidade estarem informados sobre o tema é estarem alerta para suspeição e conduta precoce ideal para promover a melhora da saúde pública.
Percepção da pessoa surda sobre o atendimento nos serviços de saúde
Authors: Cristo Érica Amador de , Durans Keyla Cristina Nogueira , Marques Daniela Silva , Ferreira Adryemerson Pena Forte , Miranda Danila Mousinho da Silva , Pasklan Amanda Namíbia Pereira
Published: May 2022

Objetivo: Investigar a percepção dos surdos sobre o atendimento ofertado, quando estes procuram os serviços de saúde. Método: Pesquisa exploratória e descritiva, de abordagem qualitativa, baseada no método de Análise de Conteúdo de Bardin, utilizando-se o método de saturação dos dados. Resultados: Participaram da pesquisa 8 pessoas surdas. A falta de comunicação configura-se como a maior queixa entre os usuários. Não é concebido ao surdo, oportunidade de expressar suas opiniões e dúvidas com relação ao problema de saúde, sendo sempre delegado a outra pessoa este papel, e quando esta não está presente, a assistência fica comprometida. Considerações finais: As barreiras no acesso implicam em importantes prejuízos e sinalizam o despreparo dos profissionais no processo de trabalho. Portanto, adequações com relação ao modo de atender os clientes surdos precisam ser repensadas, de forma que garantam a estes, uma assistência segura e qualificada.
Uma comparação por intoxicação no uso indiscriminado do paracetamol versus ibuprofeno em crianças menores de 5 anos: uma revisão integrativa
Authors: Silva Graziela Cardoso da , Teixeira Katiane Melo , Marques Heloysa Cristina Lima , Rodrigues Junior Omero Martins
Published: May 2022

O Sistema Nacional de Informações Tóxico Farmacológicas (SINITOX) mostra que desde 1994, o medicamento é o principal agente causador de intoxicação em seres humanos no Brasil. A gravidade e o impacto são decorrentes de fatores como a dose, armazenamento e o tipo de medicamento a que o indivíduo está exposto, deste modo será abordado os analgésicos não-opioides ou não narcóticos e anti-inflamatórios não esteroides (AINEs), destacando o Paracetamol, Ibuprofeno. Objetivo: identificar as causas pelos quais ocorreram às intoxicações, analisar quais as consequências e quais medidas preventivas para precaver tais acidentes. Metodologia :Estudo de revisão bibliográfico a partir de artigos obtidos nas bases de dados eletrônicas SCIELO, LILACS, MEDLINE/PUBMED, onde passaram por critérios de exclusão e inclusão, resultando em 25 estudos incluídos. Resultados: constatou-se que o grupo atingido com maior índice de intoxicação é de crianças 1 a 4 anos, e que tais medidas devem ser tomadas, como orientação e armazenamento correto. Conclui-se que os medicamentos alcançam índice representativo nas intoxicações em crianças, as famílias devem atentar para o acondicionamento seguro desses medicamentos e faz-se mister que o governo implante e faça cumprir, a adoção de embalagem especial de proteção à criança.
PKM Pendampingan Implementasi Merdeka Belajar Kampus Merdeka di Perguruan Tinggi Pesantren Zona Tapal Kuda Jawa Timur
Authors: Hidayat M. Noer Fadli
Published: May 2022

Di tahun 2020 Menteri Pendidikan dan Kebudayaan merilis kebijakan Kampus Merdeka Merdeka Balajar (MBKM) sebagai kerangka dalam menyiapkan mahasiswa menjadi sarjana yang tangguh, relevan dengan kebutuhan zaman, dan siap menjadi pemimpin dengan semangat kebangsaan yang tinggi. Pokok - pokok dari kebijakan MBKM meliputi: (1) pembukaan program studi baru; (2) sistem akreditasi perguruan tinggi; (3) perguruan tinggi badan hukum (4) hak belajar tiga semester di luar program studi. Dengan kebijakan tersebut Perguruan Tinggi Pesantren dituntut untuk dapat merancang dan melaksanakan proses pembelajaran yang inovatif agar mahasiswa dapat meraih capaian pembelajaran mencakup aspek sikap, pengetahuan, dan keterampilan secara optimal dan selalu relevan melalui berbagai bentuk kegiatan belajar di luar perguruan tinggi. Tujuan PKM ini adalah kegiatan pengabdian masyarakat ini diharapkan perguruan tinggi pesantren zona tapal kuda Jawa Timur dapat mengimplementasikan program MBKM Mandiri dan kemitraan antar perguruan tinggi pesantren. Hasil yang dicapai dari PKM ini adalah tersusunnya dokumen kebijakan dan dokumen panduan teknis dan prosedur operasional baku program MBKM serta terlaksananya program MBKM Pertukaran santri yang diikuti oleh 40 mahasiswa dari 10 Perguruan Tinggi Pesantren Zona Tapal Kuda Jawa Timur
PEMBELAJARAN SENI PERTUNJUKKAN ANAK USIA DINI DI MASA PANDEMI DENGAN LOCAL GENIUS
Authors: Priyo Dwi Wibowo
Published: May 2022

Early childhood education is important for a nation's generation. This is a potential future in the development of children to experience exploration of all aspects both motor and psychomotor. This study aims to describe how to produce learning designs for performing arts in kindergartens by utilizing sources of knowledge of local cultural excellence in Surabaya, East Java with the concept of integrated learning. This research uses qualitative phenomenology research. The results show that during the pandemic students can still learn the performing arts using online media (WhatsApp video calls) so that students are more creative and discover the latest movements with the help of their parents at home.
The Assemblage of Beetles in the Olive Grove and Surrounding Mediterranean Shrublands in Portugal
Authors: Kubiak Ketrin Lorhayne , Pereira José Alberto , Tessaro Dinéia , Santos Sónia A. P. , Benhadi-Marín Jacinto
Published: May 2022

The olive tree is perfectly adapted to the Mediterranean region, where it represents high economic, social, and landscape importance, olive orchards being an important repository of biodiversity. The order Coleoptera encompasses families that provide important ecosystem services, such as pest limitation. The objective of this work was to compare the assemblage of families of Beetles between the olive grove and their surrounding semi-natural landscape in Trás-os-Montes. The ground beetles on four olive groves and their adjacent shrubland areas were sampled using pitfall traps near Mirandela (Northeastern Portugal) in May and June of 2015 and 2016. Anthicidae, Staphylinidae, and Scarabaeidae dominated the community. The richness of the families was significantly greater in the olive grove in both years of study. On the contrary, the overall diversity did not significantly differ. In both years, the complementarity between the areas was low, reflecting similar communities in terms of families. Predators were dominant in both habitats; therefore, the surrounding landscape could act as shelter and provide alternative resources to the community of Coleoptera inhabiting the olive grove during disturbances derived from agricultural management.
Cucurbitaceous Vegetables’ Gummy Stem Blight Research
Authors: Luo Qing , Tan Guo-Fei , Ma Yi-Qiao , Meng Ping-Hong , Zhang Jian
Published: May 2022

Cucurbits are an important vegetable crop of the gourd family. Unfortunately, gummy stem blight (GSB) causes a major fungal disease on Cucurbitaceous vegetable crops. It is also known as black root when affecting fruits, and it is found all over the world. GSB is caused by the fungal pathogen Didymella bryoniae. Research efforts have investigated the different developmental stages and various parts of Cucurbits affected with this disease. In the present paper, we have completed a systematic review for the disease’s symptomatic, pathogenic microbes, resistance resources, resistance inheritance regularity, molecular biology and genomic study of resistance gene and control method, etc., on Cucurbits. This review provides the background and rationale for future studies aiming to address the issues existing in gummy stem blight research and development.
Nitrogen Use Efficiency in Durum Wheat (Triticum durum Desf.) Grown under Semiarid Conditions in Algeria
Authors: Benchelali Soumia , Benkherbache Nadjat , Mefti Mohamed , Ronga Domenico , Louahdi Nasreddine , Russo Mario , Pecchioni Nicola
Published: May 2022

The proper and sustainable management of nitrogen fertilization is one of the most common problems of cereal cultivation in semiarid regions, which are characterized by a wide variability in climatic conditions. The current work was conducted to evaluate the effects of nitrogen fertilization on the agronomic and economic aspects of durum wheat cultivated under rainfed semiarid conditions in Algeria and to determine the most efficient nitrogen use efficiency (NUE) among four genotypes that are widespread in the country (tall and short, old and modern genotypes). The four genotypes, Bousselam, MBB, Megress, and GTAdur, were investigated under four nitrogen rates from 0 to 120 kg N ha−1 during three cropping seasons (2016 to 2018). The results indicate that the total nitrogen uptake at maturity (NM), nitrogen uptake by grain (NG), nitrogen harvest index (NHI), NUE and its components, such as nitrogen uptake efficiency (NUpE) and nitrogen utilization efficiency (NUtE), were significantly affected by year, genotype, and nitrogen level. From this study, it appears that higher nitrogen rates improved NM and NG. However, no effects on either grain yield or marginal net return (MNR) were observed; conversely, increased nitrogen levels produced a 13% reduction in the economic return. In other words, in the North African environment, the response to nitrogen is more evident in quality than in yield, which in turn is dependent on the yearly weather conditions and cultivated genotypes. Moreover, nitrogen negatively affected NUE and its components (NUpE, NUtE). On average, NUE displayed low values (14.77 kg kg−1), mostly irregular and highly dependent on weather conditions; in the best year, it did not exceed 60% (19.87 kg kg−1) of the global average value of 33 kg kg−1. Moreover, the modern genotypes Megress (tall) and GTAdur (short) showed the best capacity to tolerate different nitrogen conditions and water shortages, providing relatively superior yields, as well as more effective N use from fertilizers and the soil than the other two genotypes.
High Level of Iron Inhibited Maize Straw Decomposition by Suppressing Microbial Communities and Enzyme Activities
Authors: Jin Mengcan , Guan Hao , Zhang Wenjie , Tian Da , Wei Junling , Kalkhajeh Yusef Kianpoor , Gao Hongjian
Published: May 2022

In order to study the linkages between the crop straw decomposition rate and the change in soil biological properties after the straw returned to the soil with different iron (Fe2+) contents, a 180-day incubation experiment was performed to examine the decomposition of maize straw (MS) under three Fe2+ levels, i.e., 0, 0.3, and 1 mg g−1. Enzyme activities regarding straw decomposition and microbial communities under 0 and 1 mg g−1 Fe addition were also detected. The results showed that Fe2+ addition significantly inhibited MS decomposition. This was evidenced by the higher contents of hemicellulose, cellulose, and lignin in Fe2+ treatments on day 180. High-Fe addition (1 mg g−1) decreased the activity of Laccase (Lac) by 71.82% compared with control on day 30. Furthermore, the principal coordinates analysis (PCoA) indicated that high-Fe mainly affected the bacterial community. In particular, it suppressed the relative abundance of Microbacteriaceae in phylum Actinomycota that, in turn, is a potential decomposer of crop straw by secreting lignocellulolytic enzymes. A high level of Fe2+ inhibited the decomposition of hemicellulose, cellulose, and lignin in MS by reducing the relative abundance of phylum Actinobacteria in bacteria and suppressing Lac activity. Our findings provide guidance for returning crop straws in soils with high-Fe content.
Effects of Rice Straw Combined with Inorganic Fertilizer on Grain Filling and Yield of Common Buckwheat
Authors: Guo Rongyu , Zhang Xinyue , Tang Zhuolei , Zhang Yu , Huang Kaifeng
Published: May 2022

This study aims to clarify the effect of rice straw combined with inorganic fertilizer on the grain-filling characteristics and yield formation of common buckwheat (Fagopyrum esculentum Moench) and provide a scientific basis for straw fertilizer utilization and the scientific fertilization of common buckwheat in Guizhou Province.Common buckwheat ‘Fengtian1’ was field-grown and treated with no straw and no fertilization (CK), no straw with normal fertilizer (SF), full straw with 20% reduction in conventional fertilization (SH), full straw with 40% reduction in conventional fertilization (SM), full straw with 80% reduction inconventional fertilization (SL), and full straw with no fertilization (HT). The results showed that the initial growth power (R0), maximum and average grain-filling rate, and starch synthase activity of the superior grains were higher than those of the inferior grains. Compared with CK, the treatments with straw and inorganic fertilizers remarkably increased the contents of available nitrogen, available potassium, available phosphorus, and organic matter in the rhizosphere of common buckwheat. SH and SF treatments remarkablyimproved the fertilizer contribution rate and fertilizer agronomic utilization rate, promoted root growth, and enhanced the starch branching enzyme and soluble starch synthase activities of superior and inferior grains. Compared with CK, SH treatment considerably increased the number of grains per plant, grain weight per plant, 100-grain weight, and final yield. Thus, straw combined with inorganic fertilizers, particularlythe SH treatment, should be recommended as an agronomic method for promoting grain filling and increasing the yield of common buckwheat.
Effect of Hormonal Priming and Osmopriming on Germination of Winter Savory (Satureja montana L.) Natural Population under Drought Stress
Authors: Vidak Monika , Lazarević Boris , Nekić Monika , Šatović Zlatko , Carović-Stanko Klaudija
Published: May 2022

Winter savory (Satureja montana L.) is an important medicinal, aromatic, and honey plant. In Croatia, it is widely distributed along the Adriatic coast, where it is frequently exposed to droughts. First, the winter savory natural population with the highest germination across different drought treatments after hydropriming was selected. Nine hundred seeds from each of the three natural populations (P1, P2, and P3) were hydroprimed (dH2O) for 48 h. The seeds were then germinated in drought treatments with different concentrations of polyethylene glycol (PEG 6000) (−0, −0.2, −0.4, −0.8, −1.2, −1.6, −2, −2.5, −3.0 MPa). Since P1 showed the best results in germination parameters, it was used for the second phase of the experiment, where the effect of hormonal priming (100 and 400 ppm GA3, 48 h in the dark) and osmopriming (0.2% and 0.6% w/v KNO3, 72 h in the dark) on seed germination and seedling morphological parameters of the selected winter savory population under drought stress conditions (−0.8 and −2.5 MPa) was evaluated. Although winter savory grows in dry areas, this study showed that extremely dry conditions (−3.0 and −2.5 MPa) negatively affected seed germination, but this effect can be mitigated by priming treatments, especially with the hormonal priming (GA3 400 ppm).
Synergized Toxicity of Promising Plant Extracts and Synthetic Chemicals against Fall Armyworm Spodoptera frugiperda (JE Smith) (Lepidoptera: Noctuidae) in Pakistan
Authors: Ahmed Kanwer Shahzad , Idrees Atif , Majeed Muhammad Zeeshan , Majeed Muhammad Irfan , Shehzad Mehar Zubair , Ullah Muhammad Irfan , Afzal Ayesha , Li Jun
Published: May 2022

Fall armyworm, Spodoptera frugiperda (JE Smith) (Lepidoptera: Noctuidae), is a destructive pest of a wide array of agricultural and horticultural crops worldwide. This in vitro research assessed the combined effect of methanolic extracts of indigenous flora of Soone Valley (Khushab, Pakistan) and nine commonly used synthetic insecticides against 3rd instar larvae of S. frugiperda using the leaf-dip bioassay method. Toxicity bioassays with twelve plant extracts revealed that the extracts of Withania somnifera (L.) Dunal, Sophora mollis (Royle) Baker and Rhazya stricta Decne. were the most effective, exhibiting minimum LC50 and LT50 values. Bioassays with synthetic insecticides revealed a significantly higher mortality of S. frugiperda larvae by emamectin benzoate (45%), chlorpyrifos (40%) and chlorantraniliprole (38%). Further bioassays with 10 binary combinations of these most effective botanical and synthetic insecticides showed that seven pesticidal combinations exhibited synergistic toxicity, and three combinations comprising emamectin benzoate exhibited an additive effect on the mortality of S. frugiperda larvae. GC–MS analyses of methanolic extracts of W. somnifera, S. mollis and R. stricta revealed 1,2,4-trimethyl-benzene and 3,5-dimethyl-octane, 1-ethyl-2-methyl-benzene, and 1-monolinoleoylglycerol trimethylsilyl ether, decane, and lupeol as major bioconstituents, respectively. Our results demonstrated that combining botanicals with synthetic insecticides can synergize their toxicity against S. frugiperda larvae, suggesting their potential incorporation into future IPM programs against S. frugiperda and other lepidopterous pests.
Research Progress in Porcine Reproductive and Respiratory Syndrome Virus–Host Protein Interactions
Authors: Zhang Hang , Sha Huiyang , Qin Limei , Wang Nina , Kong Weili , Huang Liangzong , Zhao Mengmeng
Published: May 2022

Porcine reproductive and respiratory syndrome (PRRS) is a highly contagious disease caused by porcine reproductive and respiratory syndrome virus (PRRSV), which has been regarded as a persistent challenge for the pig industry in many countries. PRRSV is internalized into host cells by the interaction between PRRSV proteins and cellular receptors. When the virus invades the cells, the host antiviral immune system is quickly activated to suppress the replication of the viruses. To retain fitness and host adaptation, various viruses have evolved multiple elegant strategies to manipulate the host machine and circumvent against the host antiviral responses. Therefore, identification of virus–host interactions is critical for understanding the host defense against viral infections and the pathogenesis of the viral infectious diseases. Most viruses, including PRRSV, interact with host proteins during infection. On the one hand, such interaction promotes the virus from escaping the host immune system to complete its replication. On the other hand, the interactions regulate the host cell immune response to inhibit viral infections. As common antiviral drugs become increasingly inefficient under the pressure of viral selectivity, therapeutic agents targeting the intrinsic immune factors of the host protein are more promising because the host protein has a lower probability of mutation under drug-mediated selective pressure. This review elaborates on the virus–host interactions during PRRSV infection to summarize the pathogenic mechanisms of PRRSV, and we hope this can provide insights for designing effective vaccines or drugs to prevent and control the spread of PRRS.
Sustainable Aquaculture: Nutrition Studies in Early Developing Finfish, Ornamentals and Experimental Model Fish
Authors: Planas Miquel , Olivotto Ike
Published: May 2022

Enhancing the knowledge of feeding/nutritional requirements is key in the growth of fish development and for the optimization of rearing techniques [...]
Quantification and Determination of Stability of Tylvalosin in Pig Plasma by Ultra-High Liquid Chromatography with Ultraviolet Detection
Authors: Hernandis Verónica , Escudero Elisa , Galecio Juan Sebastián , Marín Pedro
Published: May 2022

Tylvalosin (TV) is a macrolide antibiotic that is used for treating respiratory and enteric bacterial infections in swine and in poultry. In the coming years, the use of this drug will probably be widely studied in different species, but before its use in each veterinary species, macrolide analytical determination in various biological fluids is a pre-requisite step for the rational dose calculation of TV based on specific pharmacokinetic information. Its quantification is essential for detecting and avoiding the appearance of residues in animal products intended for human consumption. Therefore, a robust chromatographic method coupled with an ultraviolet detector was fully validated for the quantification of TV in pig plasma. A mixture (78:22) of (A) 0.3% formic acid in water and (B) acetonitrile was used as the mobile phase. TV and enrofloxacin (internal standard) were eluted at 14.1 and 5.9 min, respectively. Calibration curves ranged from 0.1 to 5 μg/mL. The accuracy and precision parameters for the quality controls were always <13.0%. Recovery ranged from 89.66 to 96.92%. The detection and quantification limits were found to be 0.05 μg/mL and 0.1 μg/mL, respectively. This method could be applied to develop pharmacokinetic studies.
How Well Do ‘Catch-Only’ Assessment Models Capture Catch Time Series Start Years and Default Life History Prior Values? A Preliminary Stock Assessment of the South Atlantic Ocean Blue Shark Using a Catch-Based Model
Authors: Kindong Richard , Wu Feng , Tian Siquan , Sarr Ousmane
Published: May 2022

CMSY++, an improved version of the CMSY approach developed from Catch-MSY which uses a Bayesian implementation of a modified Schaefer model and can predict stock status and exploitation, was used in the present study. Evaluating relative performance is vital in situations when dealing with fisheries with different catch time series start years and biological prior information. To identify the influences of data inputs on CMSY++ outputs, this paper evaluated the use of a nominal reported catch and a reconstructed catch dataset of the South Atlantic blue shark alongside different priors of the blue shark’s productivity/resilience (r) coupled with different indices of abundance. Results from the present study showed that different catch time series start years did not have a significant influence on the estimation of the biomass and fishing reference points reported by CMSY++. However, uninformative priors of r affected the output results of the model. The developed model runs with varying and joint abundance indices showed conflicting results, as classification rates in the final year changed with respect to the type of index used. However, the model runs indicated that South Atlantic blue shark stock could be overfished (B2020/Bmsy = 0.623 to 1.15) and that overfishing could be occurring (F2020/Fmsy = 0.818 to 1.78). This result is consistent with the results from a previous assessment using a state-space surplus production model applied for the same stock in 2015. Though some potential could be observed when using CMSY++, the results from this model ought to be taken with caution. Additionally, the continuous development of prior information useful for this model would help strengthen its performance.
Dog Owner Perceptions of Veterinary Handling Techniques
Authors: Carroll Amber Diane , Cisneros Alissa , Porter Hannah , Moody Carly , Stellato Anastasia Chiara
Published: May 2022

Veterinary care can be a source of stress for domestic dogs and their owners. If a dog owner is not satisfied with the veterinary experience, this may reduce the frequency of veterinary visits and negatively impact a dog’s health and welfare. Allowing dog owners to offer their perspectives on aspects of the veterinary appointment may help improve owner satisfaction. We assessed owner agreement towards 13 recommended handling techniques used on dogs during routine veterinary appointments, when the participants’ dog was calm, fearful, or aggressive. An online cross-sectional survey targeting current dog owners, residing in Canada and the United States, was used to examine the influence of participant’s pet attachment (using the Lexington Attachment to Pets Scale (LAPS)) and demographic information (age, gender, experience working in the veterinary field) on owner agreement towards the handling techniques. The majority of participants (N = 1176) disagreed with higher restraint techniques (e.g., full body restraint, muzzle hold) and tools (e.g., dog mask), and agreed with lower restraint techniques (e.g., minimal restraint) regardless of dog demeanor. Logistic regression models revealed that for medium/large dog owners, having previous veterinary work experience resulted in lower agreement with the use of minimal restraint (p < 0.0001) and higher agreement with the use of full body restraint on fearful dogs (p = 0.01). Small dog owners were more likely to agree with the use of minimal restraint on fearful dogs if they had a higher pet attachment score (p < 0.001), and were more likely to agree with full body restraint if they had previous veterinary work experience (p < 0.0001) or were male (p = 0.02). Owner perspectives align with current handling recommendations and provide further support for the use of low stress handling methods to improve owner satisfaction and dog welfare during routine veterinary care.
Novel Copper-Zinc-Manganese Ternary Metal Oxide Nanocomposite as Heterogeneous Catalyst for Glucose Sensor and Antibacterial Activity
Authors: Alam Mir Waqas , Al Qahtani Hassan S. , Souayeh Basma , Ahmed Waqar , Albalawi Hind , Farhan Mohd , Abuzir Alaaedeen , Naeem Sumaira
Published: May 2022

A novel copper-zinc-manganese trimetal oxide nanocomposite was synthesized by the simple co-precipitation method for sensing glucose and methylene blue degradation. The absorption maximum was found by ultraviolet–visible spectroscopy (UV-Vis) analysis, and the bandgap was 4.32 eV. The formation of a bond between metal and oxygen was confirmed by Fourier Transform Infrared Spectroscopy (FT-IR) analysis. The average crystallite size was calculated as 17.31 nm by X-ray powder diffraction (XRD) analysis. The morphology was observed as spherical by scanning electron microscope (SEM) and high-resolution transmission electron microscopy (HR-TEM) analysis. The elemental composition was determined by Energy Dispersive X-ray Analysis (EDAX) analysis. The oxidation state of the metals present in the nanocomposites was confirmed by the X-ray photoelectron spectroscopy (XPS) analysis. The hydrodynamic diameter and zeta potential of the nanocomposite were 218 nm and −46.8 eV, respectively. The thermal stability of the nanocomposite was analyzed by thermogravimetry-differential scanning calorimetry (TG-DSC) analysis. The synthesized nanocomposite was evaluated for the electrochemical glucose sensor. The nanocomposite shows 87.47% of degradation ability against methylene blue dye at a 50 µM concentration. The trimetal oxide nanocomposite shows potent activity against Escherichia coli. In addition to that, the prepared nanocomposite shows strong antioxidant application where scavenging activity was observed to be 76.58 ± 0.30, 76.89 ± 0.44, 81.41 ± 30, 82.58 ± 0.32, and 84.36 ± 0.09 % at 31, 62, 125, 250, and 500 µg/mL, respectively. The results confirm the antioxidant potency of nanoparticles (NPs) was concentration dependent.
Ensemble-Learning-Based Prediction of Steel Bridge Deck Defect Condition
Authors: Li Qingfu , Song Zongming
Published: May 2022

This study developed an ensemble-learning-based bridge deck defect condition prediction model to help bridge managers make more rational and informed steel bridge deck maintenance decisions. Using the latest data from the NBI database for 2021, this study first used ADASYN to solve imbalance problems in the data, then built six ensemble learning models (RandomForest, ExtraTree, AdaBoost, GBDT, XGBoost, and LightGBM) and used a grid search method to determine the hyperparameters of the models. The optimal model was finally analyzed using the interpretable machine learning framework, SHAP. The results show that the optimal model is XGBoost, with an accuracy of 0.9495, an AUC of 0.9026, and an F1-Score of 0.9740. The most important factor affecting the condition of steel bridge deck defects is the condition of the bridge’s superstructure. In contrast, the condition of the bridge substructure and the year of bridge construction are relatively minor factors.
Analysis of the Propulsion Performance and Internal Flow Field of an Underwater Launcher
Authors: Zhang Xinwei , Yu Yonggang
Published: May 2022

The gas-curtain launch is designed to address the shortcomings of conventional underwater launchers, such as poor dependability and low muzzle velocity. In this paper, the influence of jet structures on the propulsion performance and internal flow field of an underwater gas-curtain launcher is investigated. To conduct the experiment on a small-aperture underwater launcher, three projectiles with different jet structures were designed. The experimental results show that a projectile with a central nozzle is more conducive to gas-curtain formation than one with four sidewall grooves. Additionally, the central nozzle can reduce launch resistance and improve propulsion performance more effectively. Furthermore, increasing the diameter of the central nozzle aids in gas-curtain formation and propulsion performance. Following the experiment, a numerical model of the internal flow field for gas-curtain launch is built in order to develop numerical simulations under three jet structures. The calculation results show that the three gas-curtain projectiles can likewise acquire good propulsion performance. Different jet structures have significant impacts on the launching resistance of a gas-curtain launcher, thereby affecting its propulsion performance. The launch resistance is lower when the central nozzle jet structure is utilized; however, the muzzle velocity is also lower because more gas is consumed for drag reduction and the projectile force area is smaller. This study reveals the effect of jet structure on the propulsion performance and flow field evolution of a gas-curtain launcher.
Idle Vibration Reduction of a Diesel Sport Utility Vehicle
Authors: Ryu Seokwon , Kim Dongju , Lee Booyoung , Han Doohee , Jung Insoo , Chung Jintai
Published: May 2022

This paper presents a study on the idle vibration reduction of a diesel sport utility vehicle (SUV). To reduce idle vibration, the transmission paths of vibration from the engine to the driver seat floor were investigated with the vehicle components related to idle vibration. Furthermore, operational deflection shape (ODS) tests were conducted to visualize the vibration shapes during engine idling. Experimental modal analyses were performed to obtain the natural frequencies and mode shapes. Through the ODS and modal tests, the vibration characteristics of the diesel SUV during idling were identified. Considering these vibration characteristics, a multi-body dynamic model for the diesel SUV described by differential equations of motion was established to evaluate the idle vibration. To implement the dynamic model effectively, the equivalent stiffnesses and damping coefficients included in the model were determined experimentally or analytically. The established dynamic model was verified by comparing the natural frequencies and idle vibration levels between simulations. Using this dynamic model, we analyzed the effects of various design variables on idle vibration and obtained an optimal design for reducing the idle vibration level. Finally, we present a design guide to reduce the idle vibration for diesel SUVs.
A Novel Image Encryption Algorithm Based on Voice Key and Chaotic Map
Authors: Li Jing , Fu Tianshu , Fu Changfeng , Han Lianfu
Published: May 2022

This paper proposes a new image encryption algorithm. First, time-domain and frequency-domain features of the user’s voice are extracted to generate a voice key. Second, the key is iterated through a chaotic map multiple times to map the key data to the chaotic oscillation region, and, subsequently, the parameters of the oscillation area are used to encrypt the user’s image. Third, at the time of decryption, the user’s latest voice data are re-extracted to generate a new voice key and decrypt the encrypted image. The encrypted image cannot be successfully decrypted if there are differences between the two extracted voices in the time or frequency domain. Finally, the experiments are performed using 80 groups of face images and voice data, all of which pass the encryption and decryption experiments. In addition, various safety tests have been carried out on the algorithm. The key sensitivity of the algorithm is verified by the normalized cross-correlation parameter Cncc. The effective anti-attack ability of the algorithm is verified by measuring the correlation between adjacent pixels, the number of changing pixel rate (NPCR) and the unified averaged changed intensity (UACI). The key space of the proposed algorithm is greater than 2100, and it has good anti-cracking ability.
Harmonic Extrapolation of Seismic Reflectivity Spectrum for Resolution Enhancement: An Insight from Inas Field, Offshore Malay Basin
Authors: Nwafor Basil Onyekayahweh , Hermana Maman
Published: May 2022

For decades, how to improve the resolution limit of seismic data has been a concern for seismologists. For this reason, several geoscientists have proposed various methods of improving the bandwidth of the data. Discovering an easy and scientifically reliable means of improving seismic data resolution would undoubtedly help geophysicists interpret more complex details of the subsurface geology. In this study, we transformed the bandlimited time-domain seismic data to the frequency domain using the Fourier analysis method, and a basis pursuit atomic algorithm was applied to decompose the real and imaginary parts of the spectrum into summations of cosines and sines. The resultant reflectivity spectrum (in the frequency domain) was deconvolved by a pre-estimated wavelet spectrum to obtain the true earth’s reflectivity data spectrum and was subsequently extrapolated to beyond the original band limit. The result shows an extended bandwidth from 68 Hz to 161 Hz and 80 Hz to 170 Hz for both synthetic trace model and the main seismic data, respectively. Consequently, this improved vertical resolution of sub-seismic geologic features, such as crevasse splay, levee, barrier bar complex, lagoon inlet channels, alluvial fans, and fluvial channels, and shows subtle facies variations in Inas field.
DeConNet: Deep Neural Network Model to Solve the Multi-Job Assignment Problem in the Multi-Agent System
Authors: Lee Jungwoo , Choi Youngho , Suh Jinho
Published: May 2022

In a multi-agent system, multi-job assignment is an optimization problem that seeks to minimize total cost. This can be generalized as a complex problem in which several variations of vehicle routing problems are combined, and as an NP-hard problem. The parameters considered include the number of agents and jobs, the loading capacity, the speed of the agents, and the sequence of consecutive positions of jobs. In this study, a deep neural network (DNN) model was developed to solve the job assignment problem in a constant time regardless of the state of the parameters. To generate a large training dataset for the DNN, the planning domain definition language (PDDL) was used to describe the problem, and the optimal solution that was obtained using the PDDL solver was preprocessed into a sample of the dataset. A DNN was constructed by concatenating the fully-connected layers. The assignment solution obtained via DNN inference increased the average traveling time by up to 13% compared with the ground cost. As compared with the ground cost, which required hundreds of seconds, the DNN execution time was constant at approximately 20 ms regardless of the number of agents and jobs.
KFSENet: A Key Frame-Based Skeleton Feature Estimation and Action Recognition Network for Improved Robot Vision with Face and Emotion Recognition
Authors: Le Dinh-Son , Phan Hai-Hong , Hung Ha Huy , Tran Van-An , Nguyen The-Hung , Nguyen Dinh-Quan
Published: May 2022

In this paper, we propose an integrated approach to robot vision: a key frame-based skeleton feature estimation and action recognition network (KFSENet) that incorporates action recognition with face and emotion recognition to enable social robots to engage in more personal interactions. Instead of extracting the human skeleton features from the entire video, we propose a key frame-based approach for their extraction using pose estimation models. We select the key frames using the gradient of a proposed total motion metric that is computed using dense optical flow. We use the extracted human skeleton features from the selected key frames to train a deep neural network (i.e., the double-feature double-motion network (DDNet)) for action recognition. The proposed KFSENet utilizes a simpler model to learn and differentiate between the different action classes, is computationally simpler and yields better action recognition performance when compared with existing methods. The use of key frames allows the proposed method to eliminate unnecessary and redundant information, which improves its classification accuracy and decreases its computational cost. The proposed method is tested on both publicly available standard benchmark datasets and self-collected datasets. The performance of the proposed method is compared to existing state-of-the-art methods. Our results indicate that the proposed method yields better performance compared with existing methods. Moreover, our proposed framework integrates face and emotion recognition to enable social robots to engage in more personal interaction with humans.
An Effective AUSM-Type Scheme for Both Cases of Low Mach Number and High Mach Number
Authors: Li Nan , Qu Feng , Sun Di , Wu Guanghui
Published: May 2022

A new scheme called AUSMAS (Advection Upstream Splitting Method for All Speeds) is proposed for both high speed and low speed simulation cases. For the cases of low speed, it controls the checkerboard decoupling by keeping the coefficient of the pressure difference to the order of O(Ma−1) in the mass flux. Furthermore, it is able to guarantee a high level of accuracy by keeping the coefficients of the dissipation terms to the order of O(Ma0) in the momentum flux. For the cases of high speeds, especially at supersonic and hypersonic speeds, it is able to avoid the appearance of the shock anomaly by controlling the coefficients of the density perturbation in the mass flux. AUSMAS is testified to have the following attractive properties according to various numerical tests: (1) robustness against the abnormal shock; (2) high resolution in discontinuity; (3) the appearance of the unphysical expansion shock is avoided; (4) high resolution and low dissipation at low speeds; (5) independent of any tuning coefficient. These properties determined that AUSMAS has great promise in efficiently and accurately simulating flows of all speeds.
An Effect of Radiation and MHD Newtonian Fluid over a Stretching/Shrinking Sheet with CNTs and Mass Transpiration
Authors: Maranna T. , Sneha K. N. , Mahabaleshwar U. S. , Sarris Ioannis E. , Karakasidis Theodoros E.
Published: May 2022

The invention of carbon nanotubes (CNT) has a wide range of industrial and medical applications. The notion of boundary layer flow is used in medicine, particularly in nanomedicine, and the use of magnetic fields is used to treat cancer tumour growth. The governing PDEs are altered into ODEs with the help of suitable transformations. The mass transfer of a chemically reactive species and the flow of MHD over a stretching plate subjected to an inclined magnetic field are investigated, and analytical solutions for velocity in terms of exponential function and temperature field in terms of incomplete Gamma function are obtained using the Laplace transformation. We investigate the variation of physically important parameters with varying suction, magnetic field, and slip using the analytical results. The differences in velocity and temperature profiles are explored in relation to a number of physical parameters. MWCNT nanofluids have higher effective velocities than the SWCNT deferred nanofluids, and this might assist in industrial applications and medical benefits. Earlier research tells us that carbon nanotubes are likely quicker than nanoparticles at achieving the same tumour instance. As a result, in the presence of CNTs or nanoparticles, the magnetic field can also act as a source. We found that SWCNTs nanofluids are better nanofluids than MWCNTs nanofluids.
Miniature Painting in Eighteenth-Century England: The Case of William Pether (1739–1821)
Authors: Cora Dominika
Published: May 2022

William Pether (1739–1821) was a painter and skilled draftsman, whose abilities led to his becoming a master of engraving in the mezzotint technique—his prints reproducing works not only by the Dutch masters, such as Rembrandt van Rijn and his pupils Gerrard Dou and Willem Drost, but also by English artists such as Joseph Wright of Derby, Edward Penny, and Richard Hurlstone. An eminent British mezzotint engraver, he was also an underrated painter of miniatures. His artistic activity in this domain has been overlooked by scholars, who have focused on his print production; this study considers all extant miniatures produced by the artist during the period 1760–1820. The aim of this article is to present as many as possible known miniatures painted by this artist and to determine their proper attribution and dates through the use of stylistic analysis, the graphical-comparative method and handwriting research using available works of art and archival materials in the form of letters written by Pether.
Evolving Hybrid Generalized Space-Time Autoregressive Forecasting with Cascade Neural Network Particle Swarm Optimization
Authors: Toharudin Toni , Caraka Rezzy Eko , Yasin Hasbi , Pardamean Bens
Published: May 2022

Background: The generalized space-time autoregressive (GSTAR) model is one of the most widely used models for modeling and forecasting time series and location data. Methods: In the GSTAR model, there is an assumption that the research locations are heterogeneous. In addition, the differences between these locations are shown in the form of a weighting matrix. The novelty of this paper is that we propose the hybrid time-series model of GSTAR uses the cascade neural network and obtains the best parameters from particle swarm optimization. Results and conclusion: This hybrid model provides a high accuracy value for forecasting PM2.5, PM10, NOx, and SO2 with high accuracy forecasting, which is justified by a mean absolute percentage error (MAPE) accuracy of around 0.01%.
The Role of MTBP as a Replication Origin Firing Factor
Authors: Zaffar Eman , Ferreira Pedro , Sanchez-Pulido Luis , Boos Dominik
Published: May 2022

The initiation step of replication at replication origins determines when and where in the genome replication machines, replisomes, are generated. Tight control of replication initiation helps facilitate the two main tasks of genome replication, to duplicate the genome accurately and exactly once each cell division cycle. The regulation of replication initiation must ensure that initiation occurs during the S phase specifically, that no origin fires more than once per cell cycle, that enough origins fire to avoid non-replicated gaps, and that the right origins fire at the right time but only in favorable circumstances. Despite its importance for genetic homeostasis only the main molecular processes of eukaryotic replication initiation and its cellular regulation are understood. The MTBP protein (Mdm2-binding protein) is so far the last core replication initiation factor identified in metazoan cells. MTBP is the orthologue of yeast Sld7. It is essential for origin firing, the maturation of pre-replicative complexes (pre-RCs) into replisomes, and is emerging as a regulation focus targeted by kinases and by regulated degradation. We present recent insight into the structure and cellular function of the MTBP protein in light of recent structural and biochemical studies revealing critical molecular details of the eukaryotic origin firing reaction. How the roles of MTBP in replication and other cellular processes are mutually connected and are related to MTBP’s contribution to tumorigenesis remains largely unclear.