Miracle-dz/UniFAR-FTUs huggingface dataset:
Species Composition of Fungi Participate in the Formation of Mycobiota of Some Essential Oil Plants Included in the Flora of Azerbaijan

The fact that the Republic of Azerbaijan has extremely rich and colorful vegetation cover is one of the facts that have been confirmed. Thus, over 4700 plant species spread in this area, of which more than 1500 are medicinal (12). Therefore, the study of plant resources, analysys of their distribution laws, bioecological, phytocenology and ontogenetic properties, as well as the study of the microbiological, mycological, ecological and biotechnological bases of their use for practical purposes, is one of the most important issues and this is one of the priorities of a number of science fields, including microbiology. It is known that in recent times bioecological balance in a global scale in the direction of disbalance undergoes fundamental changes. This is in turn creates real difficulties in the vital activities of the world of living beings including plant, animal and human organisms. In a disadvantaged environment needs of living things, including people to the products of natural origin is increasing, which have a healing-prophylactic effectes. According to these properties available plant products which this feature is realizes with their biological active ingredients that they have. Such substances an example can be cited alkaloids, essential oils, flavonoids, glycosides, coumarins, vaccines, resin, camellias, etc (1, 5, 16-18). Antifungal medicinal preparations within natural or International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 11 (2018) Journal homepage: http://www.ijcmas. com
Éclosion de chikungunya dans les Caraïbes (2013-2014)

* Auteur-ressource : michel.deilgat@phac-aspc.gc. ca 1 Agence de la santé publique du Canada, Centre des maladies infectieuses d'origine alimentaire, environnementale et zoonotique, Ottawa, Ontario 2 Agence de la santé publique du Canada, Division santé-voyage et santé liée à la migration, Ottawa, Ontario 3 Agence de la santé publique du Canada, Zoonoses et pathogènes spéciaux, Laboratoire national de microbiologie, Winnipeg, Manitoba
Identification of spectral disease signatures and resistant QTL for charcoal rot infection in soybean

Disease phenotyping is an important process for both production field scouting and disease rating in soybean [Glycine max (L.) Merr. ] breeding programs because yield is affected by many pathogens including charcoal rot, Macrophomina phaseolina. Charcoal rot has limited chemical control options and affects over 500 species worldwide making crop rotation a difficult management strategy as well. Due to these management challenges, breeding for disease resistance is a valuable strategy, however traditional disease phenotyping relies on human visual ratings which are prone to human error and have scalability issues when moving to large production schemes or modern breeding programs. Furthermore, there is currently little understanding of the genetic control of charcoal rot resistance in soybean. This study utilized hyperspectral imaging to determine its potential for early detection of charcoal rot and to uncover hyperspectral disease signatures for future use in phenotyping tools. QTL mapping was used to further the knowledge on the genetic control of charcoal rot in soybean. Hyperspectral imaging combined with spectral angle mapper analysis uncovered the importance of the non-visible NIR regions in the detection of not yet visible early symptom development on the interior of soybean stems. QTL mapping of a recombinant inbred line family identified two small effect QTL in relation to charcoal rot resistance each explaining 9.9% of the variation. Future work can build on these findings to uncover additional sources of resistance for improved breeding and to identify disease signatures of other diseases in order to develop multispectral cameras for identification of charcoal rot and other soybean diseases for field phenotyping.
Therapeutic approaches for Duchenne muscular dystrophy

Duchenne muscular dystrophy (DMD), a severe neuromuscular disorder for which at the moment is no cure. It is caused by mutations in the DMD gene, leading to a complete absence of the dystrophin protein. Dystrophin is an important protein for stabilization of muscle cells. This books gives an overview of several strategies aiming to (partly) correct the underlying genetic defect and restoring dystrophin synthesis. Especially attention is given to antisense oligonucleotide mediated exon skipping. Furthermore various therapeutical strategies trying to alleviate the secondary symptoms are discussed.
Population Fluctuation and Faunistic Analysis of Sharpshooters (Hemiptera: Cicadellidae: Cicadellinae) in Plum Orchards in the Municipality of Protásio Alves, Rio Grande do Sul State, Brazil

Abstract Plum cultivation in Brazil is of great economic importance, especially in the state of Rio Grande do Sul; however, orchards of this fruit have suffered great losses in productivity due to the Plum Leaf Scald disease caused by the bacterium Xylella fastidiosa Wells et al., 1987, transmitted by sharpshooter vectors (Hemiptera: Cicadellidae: Cicadellinae). The aim of this study was to understand the population fluctuation and faunistic analysis of Cicadellinae. Sampling was conducted in two areas of Prunus salicina Lindl. , New Orchard and Old Orchard, from May 2011 to May 2013. Sharpshooters were collected using 40 yellow sticky traps in 20 collecting points. At each point, two traps were installed (high and low). Twenty-one species were identified, including eight potencial vector species (*): Cicadellini - Bucephalogonia xanthophis*, Caragonalia carminata, Diedrocephala bimaculata, Dilobopterus dispar, Erythrogonia dorsalis, Erythrogonia separata, Hortensia similis*, Macugonalia cavifrons*, Macugonalia geographica, Pawiloma victima, Sibovia sagata* and Sonesimia grossa*; Proconiini - Aulacizes obsoleta, Homalodisca ignorata*, Molomea confluens, Molomea consolida*, Molomea lineiceps, Molomea personata, Oncometopia facialis*, Oncometopia fusca and Tapajosa rubromarginata. Cicadellini was mainly captured in low traps (222 captures) and Proconiini in high traps (59 captures). Seven taxa were classified as dominant and frequent: B. xanthophis, D. dispar, E. dorsalis, M. cavifrons, S. sagata, O. facialis and O. fusca. The population fluctuation peak for 2011 was May (62 specimens); for 2012, June (42); and for 2013, April (13). The population of sharpshooters in the orchard is directly influenced by abiotic and biotic factors, decreasing drastically during hotter and drier months, during extreme meteorological fluctuation and on periods of increased human activity. The difference in trap height is important since each tribe displays different feeding behaviors in relation to the strata, thereby providing a broad sampling of species to better understand the role of vectors in transmitting the bacteria.
A systematic review on phytochemicals for the treatment of dengue

Dengue fever is prevalent in subtopic regions, producing mortality and morbidity worldwide, which have been of major concern to different governments and World Health Organization. The search of new anti‐dengue agents from phytochemicals was assumed to be highly emergent in past. The phytochemicals have been used in wide distribution of vector ailments such as malaria. The demand of the phytochemicals is based on the medicines which are mostly considered to be safer, less harmful than synthetic drugs and nontoxic. This review mentions majorly about the phytochemicals potentially inhibiting dengue fever around the world. The phytochemicals have been isolated from different species, have potential for the treatment of dengue. Different crude extracts and essential oils obtained from different species showed a broad activity against different phytochemicals. The current studies showed that natural products represent a rich source of medicines toward the dengue fever. Furthermore, ethnobotanical surveys and laboratory investigation established identified natural plants species in the development of drug discovery to control the dengue fever.
Improving US maternal mortality reporting by analyzing literal text on death certificates, United States, 2016–2017

Changes in data collection and processing of US maternal mortality data across states over time have led to inconsistencies in maternal death reporting. Our purpose was to identify possible misclassification of maternal deaths and to apply alternative coding methods to improve specificity of maternal causes. We analyzed 2016–2017 US vital statistics mortality data with cause-of-death literals (actual words written on the death certificate) added. We developed an alternative coding strategy to code the “primary cause of death” defined as the most likely cause that led to death. We recoded deaths with or without literal pregnancy mentions to maternal and non-maternal causes, respectively. Originally coded and recoded data were compared for overall maternal deaths and for a subset of deaths originally coded to ill-defined causes. Among 1691 originally coded maternal deaths, 597 (35.3%) remained a maternal death upon recoding and 1094 (64.7%) were recoded to non-maternal causes. The most common maternal causes were eclampsia and preeclampsia, obstetric embolism, postpartum cardiomyopathy, and obstetric hemorrhage. The most common non-maternal causes were diseases of the circulatory system and cancer, similar to the leading causes of death among all reproductive-age women (excluding injuries). Among 735 records originally coded to ill-defined causes, 94% were recoded to more specific, informative causes from literal text. Eighteen deaths originally coded as non-maternal mentioned pregnancy in the literals and were recoded as maternal deaths. Literal text provides more detailed information on cause of death which is often lost during coding. We found evidence of both underreporting and overreporting of maternal deaths, with possible overreporting predominant. Accurate data is essential for measuring the effectiveness of maternal mortality reduction programs.
Performance Investigation of Chain Saw Lubricants Based on New Sunflower Oil (NSO)

Thanks to advancements in biotechnology, lubricants obtained from oil-seeds are being used, over the past twenty years, in the sensitivity environment. These oils are drawing attention as biodegradable alternatives for synthetic esters because they are less expensive and are available from renewable resources. Lubricants derived from vegetable sources have been used in many applications among them the chainsaw bar oil demands are very often. In this paper laboratory investigations of physical and chemical properties, friction and antiwear characteristics are presented using chainsaw oil based on domestic New Sunflower oil and compared with standard lubricating oils for the same purpose. At the first stage the main issue was to solve the selection of base oil and additives regarding their compatibility, mutual solubility and stability. In the second stage the additive influence to improve oxidation stability was investigated, and finally tribological properties were tested. The results show that properly formulated vegetable oil-based lubricant, like New Sunflower, can approval an oxidative stability and can be comparable to mineral oil in other characteristics.
Biologic activity of lipopolysaccharide of Treponema hyodysenteriae

2 2 INTRODUCTION . 23 MA'IERIALS AND MEmODS . 2 6 RESULTS . 33 DISC:USSION . 4 2 UIERATURE CITED . 4 9 SECTION II. ABILITY OF TREPONEMAL LPS AND ENDOTOXIN TO INDUCE CYI'OKINE RELEASE FROM LYMPHORETICULAR CELLS . 5 6 ABSTRACT . 5 7. 5 7 INTRODUCTION . 58 MATERIALS AND MEmODS . 6 1 RESULTS . 67 DISC:USSION . 7 6 UIERA1URE CITED . 8 1 GENERAL CONCLUSION . 86 UIERA1URE CITED . 8 7 ACKNOWLEDGEMEN1'S . l 06
A General Framework for Variable Selection in Linear Mixed Models with Applications to Genetic Studies with Structured Populations

Complex traits are known to be influenced by a combination of environmental factors and rare and common genetic variants. However, detection of such multivariate associations can be compromised by low statistical power and confounding by population structure. Linear mixed effect models (LMM) can account for correlations due to relatedness but have not been applicable in high-dimensional (HD) settings where the number of fixed effect predictors greatly exceeds the number of samples. False positives can result from two-stage approaches, where the residuals estimated from a null model adjusted for the subjects’ relationship structure are subsequently used as the response in a standard penalized regression model. To overcome these challenges, we develop a general penalized LMM framework called ggmix that simultaneously, in one step, selects variables and estimates their effects, while accounting for between individual correlations. Our method can accommodate several sparsity-inducing penalties such as the lasso, elastic net and group lasso, and also readily handles prior annotation information in the form of weights. We develop a blockwise coordinate descent algorithm which is highly scalable, computationally efficient and has theoretical guarantees of convergence. Through simulations, we show that ggmix leads to correct Type 1 error control and improved variance component estimation compared to the two-stage approach or principal component adjustment. ggmix is also robust to different kinship structures and heritability proportions. Our algorithms are available in an R package (https://github.com/greenwoodlab).
Length of the growing season for dry rainfed farming under Monsoon climate in Gedarif, Sudan

Reliable information on the starting and ending of growing season as well as its length will greatly assist in appropriate planning for rainfed agriculture farming practices. The objective of this study is to determine the start, end and length of growing season, based on dependable rainfall during wet (20%), normal (50%) and dry (80%) years, which were retrieved from historical rainfall records analysis of seven stations in Gedarif state for the period 1985 to 2014. The seven studied stations were categorized into two groups according to the total seasonal rainfall. During wet years, Group I had about 900 mm/year and Group II about 700-790 mm/year. In normal years, Group I had about 660-700 mm/year and Group II had 515-570 mm/year. During dry years, Group I had 490-550 mm/year and Group II had 350-425 mm/year. The results showed consistent trend of starting dates of the growing seasons; regardless of the high seasonal variability and variation in amount and distribution of rainfall among the stations and seasons. Similar results were obtained using the MODIS Enhanced Vegetation Index (EVI) for three different years representing different probability levels (2013, dry; 2000, Normal; 2007, wet). Groups I and II in normal and wet years had 70 to 90% of the total annual rainfall during the growing season. In dry years, Group I had 70 to 80% of the total rainfall during the growing season, while Group II had only 50 to 65%. The two groups have indicated different seasonal characteristics (start of growth season, end of growth season and length of growth season) in the dry, normal and wet years. Length of the growth season increases with early start of the season and in wetter years. Key words: Season start, season end, sowing date, dry season, normal season, wet season.
Expanding the toolbox of synthetic riboswitches with guanine-dependent aptazymes

Abstract Artificial riboswitches based on ribozymes serve as versatile tools for ligand-dependent gene expression regulation. Advantages of these so-called aptazymes are their modular architecture and the comparably little coding space they require. A variety of aptamer-ribozyme combinations were constructed in the past 20 years and the resulting aptazymes were applied in diverse contexts in prokaryotic and eukaryotic systems. Most in vivo functional aptazymes are OFF-switches, while ON-switches are more advantageous regarding potential applications in e.g. gene therapy vectors. We developed new ON-switching aptazymes in the model organism Escherichia coli and in mammalian cell culture using the intensely studied guanine-sensing xpt aptamer. Utilizing a high-throughput screening based on fluorescence-activated cell sorting in bacteria we identified up to 9.2-fold ON-switches and OFF-switches with a dynamic range up to 32.7-fold. For constructing ON-switches in HeLa cells, we used a rational design approach based on existing tetracycline-sensitive ON-switches. We discovered that communication modules responding to tetracycline are also functional in the context of guanine aptazymes, demonstrating a high degree of modularity. Here, guanine-responsive ON-switches with a four-fold dynamic range were designed. Summarizing, we introduce a series of novel guanine-dependent ribozyme switches operative in bacteria and human cell culture that significantly broaden the existing toolbox.
Population dynamics of the threatened staghorn coral, Acropora cervicornis, and the development of a species-specific monitoring protocol

Corals, specifically the Atlantic staghorn coral, Acropora cervicornis, are under major threat as disturbance events such as storms and disease and predation outbreaks increase in frequency. Since its population declines due to a wide spread disease event in the early 1980s, limited long-term monitoring studies describing the impact of current threats and potential recovery have been completed. The aim of this study was to document the impacts of environmental (tropical storms, increased wind) and biological (disease and predation) threats on A. cervicornis to further understand its population dynamics and potential for recovery. Two high-density A. cervicornis patches (greater than 1 hectare each) were surveyed tri-annually (winter, summer, fall) from 2008-2016. Acropora cervicornis percent cover, canopy height, census of individuals, and prevalence and occurrence of disease, predation, and bleaching were evaluated within permanent 3.5 m radial plots. Temporal variability was observed in mean percent live cover at both patches and resulted in an overall loss of tissue. Frequent disturbances such as tropical storms, hurricanes, and disease events, caused increased, prolonged, and widespread mortality. Periods void of disturbance allowed for recovery and growth. Prevalence and occurrence of disease and predation were highly variable between monitoring events. They were also found to be significantly higher on masses (individuals ≥ 1.5 m) than on colonies and during summer surveys (June-August). These data indicate that substantial length of time between major disturbance events are necessary for recovery and growth of this species. The implication of these results is that given the current rates of growth, recruitment, and storm frequency, natural species recovery is unlikely unless, large scale issues like climate change and ocean warming, which affect the intensity and frequency of disease and predation are addressed.
Patient-Type Bayes-Adaptive Treatment Plans

Treatment decisions that explicitly consider patient heterogeneity can lower the cost of care and improve outcomes by providing the right care for the right patient at the right time. “Patient-Type Bayes-Adaptive Treatment Plans” analyzes the problem of designing ongoing treatment plans for a population with heterogeneity in disease progression and response to medical interventions. The authors create a model that learns the patient type by monitoring patient health over time and updates a patient's treatment plan according to the information gathered. The authors formulate the problem as a multivariate state space partially observable Markov decision process (POMDP). They provide structural properties of the optimal policy and develop several approximate policies and heuristics to solve the problem. As a case study, they develop a data-driven decision-analytic model to study the optimal timing of vascular access surgery for patients with progressive chronic kidney disease. They provide further policy insights that sharpen existing guidelines.
Efeito fisiológico de fungicidas sistémicos em parâmetros agronómicos da cenoura

Objetivou-se com este trabalho avaliar o efeito de fungicidas sistemicos sobre parâmetros agronomicos da cenoura ‘Belgrado’. Foram avaliados quatro tratamentos (T1: piraclostrobina; T2: piraclostrobina+metiram; T3: boscalida e T4: testemunha (agua)) no delineamento em blocos ao acaso, com quatro repeticoes. Os produtos foram pulverizados a cada quinze dias, a partir dos 60 dias apos a semeadura (DAS), totalizando tres pulverizacoes durante o ciclo. A pesquisa foi conduzida em duas areas comerciais, sendo a primeira area localizada em Pardinho-SP (area de alta fertilidade) e a segunda em Botucatu-SP (area de baixa fertilidade). Na colheita (102 DAS), foram avaliados o numero de folhas, comprimento de raiz, altura de parte aerea, massa fresca e seca de raiz e parte aerea e produtividade. Na area de alta fertilidade a aplicacao de boscalida favoreceu a obtencao de raizes com maior comprimento e a piraclostrobina maior numero de folhas por planta ao final do ciclo e na area de baixa fertilidade a aplicacao dos fungicidas nao teve efeito nos parâmetros avaliados.
Total ionizing dose response of commercial process for synthesis of linear bipolar integrated circuits

In this paper are presented results of commercial bipolar integrated circuits examinations in gamma and X radiation fields, for medium dose rate ionizing radiation. Voltage regulators "STMicroelectronics" L4940V5, made by 20V "High Density Super Signal/Power Process" (HDS 2 /P 2 ) were exposed to 1,25 MeV photons of gamma radiation and 150 keV bremsstrahlung photons. By the examination of maximum output current, serial transistor dropout voltage and line regulation characteristics was detected high radiation hardness of the mentioned process. Mechanisms of ionizing radiation influence on semiconductor and insulator are analyzed. The main reasons of high HDS 2 /P 2 process radiation reliability were identified.
Energie- en eiwitbehoefte van biologisch gehouden pluimvee = Energy and protein requirements of organic housed poultry

In dit literatuuronderzoek is nagegaan of er een fysiologische basis is voor de mogelijke verschillen in energie- en eiwitbehoefte van biologische gehouden pluimvee in vergelijking met conventioneel gehouden pluimvee. Biologisch pluimvee lijkt wel een hogere onderhoudsbehoefte voor energie te hebben, maar niet voor eiwit. Dit pleit voor een hogere energie-eiwitverhouding in biologische pluimvee voedersIn this literature review, the physiological basis for possible differences in energy and protein requirements of organic versus conventional poultry is investigated. Energy need for maintenance of organic housed poultry seems to be increased, whereas protein requirements might not differ between the two systems. This might result in an increased energy to protein ration in organic diets.