scholarly journals Trends in plant ecology research in Ethiopia (1969-2019): Systematic analysis

2020 ◽  
Author(s):  
Kflay Gebrehiwot ◽  
Sebsebe Demissew
Keyword(s):  
Invasive Plant ◽  
Meta Analysis ◽  
Floristic Composition ◽  
Plant Ecology ◽  
Flow Diagram ◽  
Vegetation Types ◽  
Systematic Analysis ◽  
Afromontane Forest ◽  
The 1960S ◽  
Plant Ecological

AbstractThe objective of this paper was to systematically analyze the trend of plant ecological research in Ethiopia. The inclusion and exclusion of the articles for analysis were performed using Reporting Standards for Systematic Evidence Syntheses (ROSES) flow diagram developed for systematic review/meta-analysis. The number of articles published, authors, and collaboration has increased dramatically since the 1960s. Most of the research largely focused on the Dry evergreen Afromontane Forest and grassland complex (DAF) and Moist evergreen Afromontane Forest (MAF) vegetation types, comprising of about 52.6%. Of the remaining vegetation types, the woodlands (14.3%) i.e. Acacia-Commiphora woodland and bushland proper (ACW), and Combretum-Terminalia woodland and wooded grassland (CTW), desert and semi-desert scrubland (DSS) (2.3%), and the Afroalpine (AA) and Ericaceous Belt (EB) (1.5%) received little attention. A descriptive study on plant community ecology revolving on floristic composition and community structure is the dominant research theme, which revealed a narrow theme in contrast to the global trend. Other plant ecological studies such as reproductive and dispersal ecology of invasive plant species, and pollination ecology seems largely a neglected topic by the academia. Furthermore, the recommendations forwarded are not result-based. As a future direction, the Ethiopian government should develop a project database both for completed and ongoing projects.

Invasive Plant Ecology

2014 ◽  
Vol 32 (2) ◽  
pp. 212-213
Author(s):  
E. K. Espeland
Keyword(s):  
Invasive Plant ◽  
Plant Ecology

Novel Streptomyces sp. reported in 2018: A meta-analysis

2020 ◽  
Vol 18 ◽  
Author(s):  
Sagar Aryal ◽  
Laxmi Neupane ◽  
Rameshwar Adhikari ◽  
Balmukunda Regmi ◽  
Niranjan Koirala ◽  
...  
Keyword(s):  
Sequence Similarity ◽  
Meta Analysis ◽  
Antimicrobial Properties ◽  
Data Entry ◽  
Flow Diagram ◽  
Rrna Gene ◽  
Research Papers ◽  
Biosynthesis Gene Cluster ◽  
Streptomyces Species ◽  
Sugar Fermentation

: Streptomyces species are very well known for the production of antimicrobials and enzymes. The objective of this review is to search for the novel Streptomyces isolated in 2018 along with their characteristics and possible antimicrobial properties. The literature search was done according to the PRISMA flow diagram where 28 research papers were eligible for the review. Data entry and analyses were performed using IBM SPSS Statistics version 25 while phylogenetic tree was constructed using Geneious Prime Software. The data on general characteristics, biochemical as well as sugar fermentation tests, 16S rRNA gene sequence similarity and DNA-DNA hybridization relatedness were extracted from the research papers and summarized in tables and figures. The biosynthesis gene cluster (BGC) was identified using ‘antibiotics and secondary metabolite analysis shell-antiSMASH’ which showed the possibility of production of new antibiotics, antifungal and antitumor substances from the 28 novel Streptomyces isolated in 2018 which would contribute to the global effort to fight against growing multidrug-resistance.

Metastudie industrieller Energieflexibilität*/Meta-analysis of industrial energy flexibility - An approach for optimizing the identification of energy flexibility potentials

2017 ◽  
Vol 107 (09) ◽  
pp. 610-616
Author(s):  
S. Eisenhauer ◽  
F. Zimmermann ◽  
M. Reichart ◽  
P. Accordi ◽  
A. Prof. Sauer
Keyword(s):  
Production System ◽  
Meta Analysis ◽  
German Industry ◽  
Wird Eine ◽  
Bottom Up ◽  
Systematic Analysis ◽  
Industry Level ◽  
Large Spread ◽  
Industrial Energy ◽  
The Individual

Bisherige Studien über energetische Flexibilität in der deutschen Industrie weisen das vorhandene Flexibilitätspotenzial mit hoher Streuung aus. Diese Arbeit analysiert relevante Studien in Bezug auf deren Annahmen und Vorgehensweise. Aufbauend auf den bisherigen Vorgehensweisen wird ein Ansatz zur Erhebung der Daten im Produktionssystem vorgestellt. Des Weiteren wird eine Methode zur Aggregation der Daten hoch bis auf Branchenebene entwickelt.   Previous studies on the energetic flexibility of German industry show potentials with a large spread. Therefore, in this article, a systematic analysis of the individual studies and an evaluation of the indicated flexibility potentials are carried out. Based on the existing methods, a bottom-up approach for collecting the data in the production system and the aggregation up to the industry level is presented.

scholarly journals Systematic review and meta-analysis of the prevalence of coronavirus in the world: One health approach is urgent

2021 ◽  
Author(s):  
Ricardo Faustino ◽  
Miguel Faria ◽  
Monica Teixeira ◽  
Filipe Palavra ◽  
Maria Do Ceu Costa ◽  
...  
Keyword(s):  
Systematic Review ◽  
Fixed Effects ◽  
One Health ◽  
Animal Species ◽  
Meta Analysis ◽  
Epidemiological Surveillance ◽  
Forest Plot ◽  
Atypical Pneumonia ◽  
Systematic Analysis ◽  
Different Strains

Coronaviruses have been responsible for major epidemic crises in 2003 with SARS-CoV-1, in 2012 with MERS-CoV and in 2019 with SARS-CoV-2 (COVID-19), causing serious atypical pneumonia in humans. We intend, with this systematic analysis and meta-analysis, to clarify the prevalence of the various strains of coronavirus in different animal species. For this purpose, we carried out an electronic survey using Pubmed's Veterinary Science search tool to conduct a systematic assessment of published studies reporting the prevalence of different strains of coronavirus in different animal species between 2015 and 2020. We conducted different analysis to assess sensitivity, publication bias, and heterogeneity, using random and fixed effects. The final meta-analysis included 42 studies for systematic review and 29 in the meta-analysis. For the geographic regions with a prevalence greater than or equal to 0.20 (Forest plot overall; prevalence = 0.20, p < 0.01, Q = 10476.22 and I2 = 100%), the most commonly detected viruses were: enteric coronavirus (ECoV), pigeon-dominant coronavirus, (PdCoV), Avian coronavirus M41, Avian coronavirus C46, Avian coronavirus A99, Avian coronavirus JMK, MERS-CoV, Bovine coronavirus, Ro-BatCoV GCCDC1, Alphacoronavirus, Betacoronavirus, Deltacoronavirus, Gamacoronavirus and human coronaviruses (HCoVs). The wide presence of different strains of coronavirus in different animal species on all continents demonstrates the great biodiversity and ubiquity of these viruses. The most recent epidemiological crises caused by coronavirus demonstrates our unpreparedness to anticipate and mitigate emerging risks, as well as the need to implement new epidemiological surveillance programs for viruses. Combined with the need to create advanced training courses in One Health, this is paramount in order to ensure greater effectiveness in fighting the next pandemics.

scholarly journals WNT5A Correlates with Clinicopathological Characteristics in Gastric Cancer: a Meta-Analysis

2017 ◽  
Vol 41 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Seungyoon Nam ◽  
Jun-Won Chung ◽  
Jun-Young Yang
Keyword(s):  
Gastric Cancer ◽  
Wnt Signaling ◽  
Meta Analysis ◽  
Clinicopathological Characteristics ◽  
Cochrane Library ◽  
Systematic Analysis ◽  
Advanced Tumor ◽  
Advanced Stages ◽  
Cancer Types ◽  
Embryonic Signaling

Background/Aims: Gastric cancer (GC), the third-leading cause of cancer death in the world, is typically diagnosed only in its advanced stages. WNT signaling has been associated with clinicopathological characteristics in diverse cancer types. But the systematic analysis of WNT5A, a member in the signaling, has not been inspected. Thus, our study used a meta-analysis to statistically associate WNT5A expression with GC clinicopathological characteristics. Methods: For a systematic literature review of GC in combination with the WNT signaling molecule WNT5A, we searched for PubMed, Cochrane Library, and Web of Science. It led to the five cohorts, in four eligible studies, consisting of 1,034 patients (617 WNT5A-positive and 417 WNT5A-negative patients). These patients were inspected by the library “meta” in R software for our meta-analysis. Results: Our meta-analysis, revealed a statistically significant associations of WNT5A-positivity with lymph node metastasis (p=0.0047), some types of Lauren diffuse subtype GCs (p<0.0001), advanced tumor depth (p<0.0001), and advanced UICC stages (p=0.0461) with no observation of bias or confounding factors. Conclusions: These results support the feasibility of targeting this embryonic signaling pathway, both for therapy, and as a biomarker to “guide” various individual interventions (i.e., “personalized medicine”).

Rottboellia cochinchinensis (itch grass).

2021 ◽  
Author(s):  
Julissa Rojas-Sandoval ◽  
Pedro Acevedo-Rodríguez ◽  
Charlie Riches
Keyword(s):  
Invasive Plant ◽  
Gulf Coast ◽  
Leaf Sheath ◽  
Rice Seed ◽  
Pasture Grass ◽  
Eastern Australia ◽  
Tropical America ◽  
The Usa ◽  
Noxious Weed ◽  
The 1960S

Abstract The erect, profusely tillering annual grass R. cochinchinensis grows up to a height of 4 m or more and is extremely competitive with annual crops, readily invading disturbed sites along roads and railways. Commonly known as itchgrass, it has brace roots near the base of the plant, a cylindrical spikelet seedhead and siliceous hairs on the leaf sheath that can penetrate and irritate the skin. Individual plants produce 2000 to 16,000 seeds that are shed as soon as they mature. A native of Indo-China, it is naturalised throughout the tropics of Asia, and is found in north-eastern Australia and savannah zones of Africa. It has been introduced into tropical America, as a potential pasture grass in the USA in the early 1900s and since the 1960s has been spread widely by contaminated rice seed, agricultural equipment and along transport routes in Central and South America, the Caribbean, and in the Gulf Coast region of the USA. An aggressive, significant weed in more than 40 countries, R. cochinchinensis is listed as a Federal Noxious Weed in the USA, and is suggested by Vibrans (2009) to be possibly the most harmful invasive plant in Mexico.

Reasons for Women to Leave the IT Workforce

2011 ◽  
pp. 1068-1074 ◽  
Author(s):  
Peter Hoonakker ◽  
Pascale Carayon ◽  
Jen Schoepke
Keyword(s):  
Gender Differences ◽  
Labor Force ◽  
Turnover Rate ◽  
Meta Analysis ◽  
Turnover Rates ◽  
It Workforce ◽  
Individual Variables ◽  
The 1960S ◽  
It Personnel ◽  
Annual Turnover

Turnover has been a major issue among information technology (IT) personnel since the very early days of computing as well as nowadays (Moore, 2000; Niederman & Summer, 2003). IT personnel have a strong tendency to frequently switch employers. Annual turnover in the information systems (IS) field ranged between 15% and 20% during the 1960s and the early 1970s. In the late 1970s, the turnover was as high as 28% annually and around 20% in the early 1980s. By the 1990s, the turnover rate reached 25 to 33% annually (Jiang & Klein, 2002). Many large American companies had a 25 to 33% turnover rate among their IS personnel in the late 1990s (Hayes, 1998). Although women represent an increasingly important segment of the labor force, their turnover rate can exceed 2½ times the turnover rate of men (Chusmir, 1982; Cotton & Tuttle, 1986; Davis & Kuhn, 2003; Giacobbe Miller & Wheeler, 1992; Schwarz, 1989). A meta-analysis by Cotton & Tuttle (1986) of 120 datasets showed strong evidence for gender differences in turnover: women are more likely to leave their job than men. Gender differences in turnover are less consistent among nonmanagerial and nonprofessional employees, and are stronger among professional (Cotton & Tuttle, 1986). However, recent evidence suggests that educated women start resembling men with regard to turnover rate and pattern (Griffeth, Hom, & Gaertner, 2000; Royalty, 1998). Educated women are more likely to leave to take on another job, while less educated women are more likely to abandon the labor force (Royalty, 1998). Furthermore, part of the higher turnover rates for women can be explained by individual variables that turnover studies conducted by economists and focused on industry do not consider, such as age, tenure, marital status, occupation and salary (Giacobbe Miller & Wheeler, 1992). In this chapter, we look at gender differences in reasons why IT personnel want to leave their job, and in their intentions once they have left their job.

scholarly journals Effects of school-based physical activity on mathematics performance in children: a systematic review

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
S. Sneck ◽  
H. Viholainen ◽  
H. Syväoja ◽  
A. Kankaapää ◽  
H. Hakonen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Meta Analysis ◽  
Mathematics Performance ◽  
Risk Of Bias ◽  
Negative Effects ◽  
Systematic Analysis ◽  
Health And Wellbeing ◽  
School Based ◽  
School Day ◽  
Negative Effect

Abstract Background The benefits of physical activity (PA) on children’s health and wellbeing are well established. However, the benefits of PA on academic performance and particularly on mathematics performance warrant systematic analysis. Mathematics is one of the core subjects in school education globally. Methods We systematically searched, analysed and synthesized the literature on the effects of school-based PA interventions on mathematics performance in children aged 4–16. A total of 29 studies consisting of randomised trials and other interventions with control groups were identified through a systematic search, and 11 of them provided sufficient data and appropriate design for a meta-analysis. Results Of the 29 studies involving 11,264 participants, positive overall effects of a PA intervention on mathematics performance were found in 13 studies (45%) and neutral overall effects in 15 studies (52%). Only one study reported a significant negative result for a subgroup of children in the first half of the intervention. In a risk-of-bias assessment, 12 studies had low, 17 moderate, and none had a high risk of bias. The meta-analysis of 11 studies suggested an overall small positive effect (ES = 0.23) of the interventions. Only one study in the meta-analysis indicated a negative effect in one of the intervention groups. Conclusions Adding PA to the school day may enhance children’s mathematics performance or has no negative effects on performance. Several types of PA interventions can be recommended to be added to the school day.

scholarly journals The Association of New-Onset Atrial Fibrillation and Risk of Cancer: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Mengxia Zhang ◽  
Lin-ling Li ◽  
Qian-qian Zhao ◽  
Xiao-dong Peng ◽  
Kui Wu ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Meta Analysis ◽  
Large Sample Size ◽  
Systematic Analysis ◽  
Incident Cancer ◽  
Increased Risk ◽  
Risk Of Cancer ◽  
The Relationship ◽  
Onset Atrial Fibrillation ◽  
New Onset

Background. There are distinct results for the relationship between new-onset atrial fibrillation (NOAF) and subsequent incident cancer. To date, no systematic analysis has been conducted on this issue. This study aims to explore the relationship between NOAF and the risk of developing cancer through a meta-analysis with a large sample size. Methods. Electronic databases, such as PubMed and EMBASE, were searched for published relevant studies on NOAF patients diagnosed with cancer after and during follow-ups, including reported records of baseline information and the statistical result of morbidity. Two investigators independently reviewed the articles and extracted the data using uniform standards and definitions. The meta-analysis was conducted using the Cochrane Program Review Manager. Results. This meta-analysis consisted of five cohort studies and one case-control study, which comprised 533,514 participants. The pooled relative risk (RR) for incident cancer was 1.24 (95% CI: 1.10–1.39, P=0.0003). The temporal trend analysis demonstrated that an increased risk of cancer was observed during the initial 90 days (RR: 3.44, 95% CI: 2.29–5.57, P<0.00001), but not after that. Lung cancer (RR: 1.51, 95% CI: 1.47–1.55, P<0.00001) was associated with NOAF, but not colorectal cancer and breast cancer. Conclusion. This meta-analysis provides evidence that NOAF is associated with increased risk of cancer. The risk of incident cancer particularly increases within 90 days after NOAF diagnosis, but not after that.

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