229 research outputs found
Body Size Correlates Negatively with Bioacoustic Measures of tseet Calls of Black-capped Chickadees (Poecile atricapillus)
No full textSttuuddiieess Onn Bbovviinnee Tthrrombbottiicc Meenniinngoeenncceepphaalliittiiss Iinn Khaarrttouum Ssttaattee
No full textThis study was carried out to investigate thrombotic
meningoencephalitis in cattle and its etiologic agent
Haemophilus somnus.
Hundred bulls` preputial cavities were examined
bacteriologically, only one isolate of Haemophilus somnus was
recovered. Identification of the new isolate was based on
morphological, cultural and biochemical characteristics and on slide
agglutination test, using hyper immune sera againist known isolates.
The study indicated that the organism presently identified as
Haemophilus somnus-like may normally form a bacterial flora of the
bovine prepuce and that dissemination from the male reproductive
tract is one possible means of infection in Haemophilus somnusassociated
diseases and mainly thrombotic meningoencephalitis.
Other bacteria isolated were Staphylococcus species (53%),
Micrococcus species (50%), Bacillus species (12%), Streptococcus
species (2%), Proteus species (27%) and Rothia species (2%).
From 1311 cattle examined at different forms, 74 showed
typical signs of thrombotic meningoencephalitis such as
hypersensitivity, respiratory distress, stairy coat with hair
overgrowth, sharp decreasing in milk production and knuckling at
the fetlock in some animals. Some affected animals were dull and
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staying in dark, wet and cool places for a long time and others were
aggressive and fierce.
Sera obtained from cattle showing clinical signs of the disease
were tested for presence of Haemophilus somnus antibodies using
slide agglutination test (SAT), using antigens prepared from six
different strains of Haemophilus somnus namely 2, 10, 12, 13a, 13b
and the strain isolated during this study "Hadeel". The seropositivity
were 13.5%, 85.1%, 20.3%, 18.9%, 64.2% and 85.1% respectively.
The prevalence of the disease on the total cattle examined was about
5.65%.
Administration of Enrofloxacin (Avitryl -5) subcutaneously to
affected cattle at dose of 2.5 mg/kg body weight for five successive
days and then repeated after 20days gave rise to a successful
treatment of the disease.
In vitro antibiotic susceptibility testing using standard disk
diffusion test, Haemophilus somnus-like organism six strains were
tested with six different antibiotics: Sulphonamides, Erythromycin,
Gentamicin, Penicillin G, Tetracycline and Enrofloxacin. Results
differed from a strain to another but the most effective drugs against
the six strains were Enrofloxacin and Gentamicin.
Immunogenicity of a Haemophilus somnus bacterin
administrated subcutaneously was evaluated in three heifers. The
bacterin was pool from the five strains (10, 12, 13a, 13b and Hadeel)
and it was a killed bacterin. The heifers were vaccinated with two
doses of the bacterin 14 days apart. The three heifers showed various
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levels of antibodies titers ranging from 1×102 to 1×109 when tested
by tube agglutination test (TAT).
In conclusion, Haemophilus somnus was proved to be part of
bulls` preputial cavities normal flora. Significant responses to
treatment with Enrofloxacin were achieved in affected animals and
immunity to Haemophilus somnus immunogenicity in cattle can be
attained by dead crude vaccin
Suggesting new words to extract keywords from title and abstract
No full textWhen talking about the fundamentals of writing research papers, we find that keywords are still present in most research papers, but that does not mean that they exist in all of them, we can find papers that do not contain keywords. Keywords are those words or phrases that accurately reflect the content of the research paper. Keywords are an exact abbreviation of what the research carries in its content. The right keywords may increase the chance of finding the article or research paper and chances of reaching more people who should reach them. The importance of keywords and the essence of the research and address is mainly to attract these highly specialized and highly influential writers in their fields and who specialize in reading what holds the appropriate characteristics but they do not read and cannot read everything. In this paper, we extract new keywords by suggesting a set of words, these words were suggested according to the many mentioned in the researches with multiple disciplines in the field of computer. In our system, we take a number of words (as many as specified in the program) that come before the proposed words and consider it as new keywords. This system proved to be effective in finding keywords that correspond to some extent with the keywords developed by the author in his research
Eco-conscious upcycling of sugarcane bagasse into flexible polyurethane foam for mechanical & acoustic relevance
No full textThis study explores the use of sugarcane bagasse (SCB), a byproduct of sugarcane processing, as a bio-filler in the production of flexible polyurethane foam (FPU), focusing on its benefits for both the environment and the economy. By varying the inclusion of SCB waste from 1 to 6 wt%, the research aims to enhance the FPU's mechanical and acoustic characteristics. Techniques such as Fourier transform infrared (FTIR) spectroscopy and field emission scanning electron microscopy (FESEM) were utilized to analyze the chemical structure and surface characteristics of both SCB and the FPU/SCB composites. Additionally, tests on gel fraction, density, and mechanical properties were conducted. The results indicate that adding 4 wt% SCB to FPU considerably improved the foam's properties. This modification resulted in a 148.63% increase in apparent density, a 228.47% rise in compressive strength, and a 116.24% boost in tensile strength. Furthermore, sound absorption across various frequency ranges was enhanced compared to the control foam. Additionally, the findings show that SCB effectively shifts sound absorption characteristics to lower frequencies. Specifically, at a low frequency of 500 Hz, the sound absorption coefficient increased to 0.4 with a foam thickness of 20 mm. This demonstrates that SCB can significantly improve FPU's performance, making it an attractive option for applications requiring noise mitigation, such as in the automotive and construction industries, thereby offering a sustainable solution to waste management and materials innovation.This article is published as El-Metwaly, Esraa A., Hadeel E. Mohamed, Tarek M. El-Basheer, Manal TH Moselhy, Sonia Zulfiqar, Eric W. Cochran, and Ahmed Abdelhamid Maamoun. "Eco-conscious upcycling of sugarcane bagasse into flexible polyurethane foam for mechanical & acoustic relevance." RSC advances 14, no. 33 (2024): 23683-23692.
doi: https://doi.org/10.1039/D4RA04025B. © 2024 The Author(s). This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence
Real Estate Investment Trusts in The Hospitality Sector of Saudi Arabia: Effect of Vision 2030 on REITs as an Investment Option
No full textA Real Estate Investment Trust (REIT) is a type of investment company that owns and operates income-generating real estate assets, such as commercial properties, apartments, and hotels. REITs allow investors to pool their money and invest in a diversified portfolio of real estate assets. In Saudi Arabia, Real Estate Investment Trusts (REITs) in the hospitality industry have been established. Saudi Arabia's hospitality REITs have drawn both domestic and global investment, serving as a source of funding for the country's hospitality sector's growth and development. This study focuses on how Saudi Arabia's Vision 2030 affects the revenue generated by Real Estate Investment Trusts (REITs) in the hotel industry. The study compares the revenue performance of hospitality REITs after the adoption of Vision 2030, and results show that Vision 2030 has a beneficial effect on the revenue of hospitality REITs, with an increase in revenue growth rates following the adoption of the policy. The report emphasizes the importance of government policies in influencing the real estate market and contends that Vision 2030 has been instrumental in improving the revenue performance of the hotel industry
Efficacy of gapseal® in preventing microleakage at the dental implant abutment interface
No full textMagister Chirurgiae Dentium (MChD)Dental implants have proven to be a success in the past decades, however the inevitable presence of microgaps at the implant abutment interface leading to microleakage is still a distressing concern. Microbial leakage can lead to peri-implant disease and bone loss and reduces implants' success rates. Measures to decrease the effect of the microgap were introduced; amongst them is the application of silicone sealing gels, such as GapSeal®
Efficacy of gapseal® in preventing microleakage at the dental implant abutment interface
No full textMagister Chirurgiae Dentium (MChD)Dental implants have proven to be a success in the past decades, however the inevitable presence of microgaps at the implant abutment interface leading to microleakage is still a distressing concern. Microbial leakage can lead to peri-implant disease and bone loss and reduces implants' success rates. Measures to decrease the effect of the microgap were introduced; amongst them is the application of silicone sealing gels, such as GapSeal®
A study of the translation of sentiment in user-generated text
No full textA thesis submitted in partial ful filment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy.Emotions are biological states of feeling that humans may verbally express to
communicate their negative or positive mood, influence others, or even afflict
harm. Although emotions such as anger, happiness, affection, or fear are
supposedly universal experiences, the lingual realisation of the emotional
experience may vary in subtle ways across different languages. For this reason,
preserving the original sentiment of the source text has always been a challenging
task that draws in a translator's competence and fi nesse. In the professional
translation industry, an incorrect translation of the sentiment-carrying lexicon is
considered a critical error as it can be either misleading or in some cases harmful
since it misses the fundamental aspect of the source text, i.e. the author's
sentiment.
Since the advent of Neural Machine Translation (NMT), there has been a
tremendous improvement in the quality of automatic translation. This has lead to
an extensive use of NMT online tools to translate User-Generated Text (UGT)
such as reviews, tweets, and social media posts, where the main message is often
the author's positive or negative attitude towards an entity. In such scenarios, the
process of translating the user's sentiment is entirely automatic with no human
intervention, neither for post-editing nor for accuracy checking. However, NMT
output still lacks accuracy in some low-resource languages and sometimes makes
critical translation errors that may not only distort the sentiment but at times flips
the polarity of the source text to its exact opposite.
In this thesis, we tackle the translation of sentiment in UGT by NMT systems from two perspectives: analytical and experimental. First, the analytical approach
introduces a list of linguistic features that can lead to a mistranslation of
ne-grained emotions between different language pairs in the UGT domain. It also
presents an error-typology specifi c to Arabic UGT illustrating the main linguistic
phenomena that can cause mistranslation of sentiment polarity when translating
Arabic UGT into English by NMT systems. Second, the experimental approach
attempts to improve the translation of sentiment by addressing some of the
linguistic challenges identifi ed in the analysis as causing mistranslation of
sentiment both on the word-level and on the sentence-level. On the word-level, we
propose a Transformer NMT model trained on a sentiment-oriented vector space
model (VSM) of UGT data that is capable of translating the correct sentiment
polarity of challenging contronyms. On the sentence-level, we propose a
semi-supervised approach to overcome the problem of translating sentiment
expressed by dialectical language in UGT data. We take the translation of
dialectical Arabic UGT into English as a case study. Our semi-supervised AR-EN
NMT model shows improved performance over the online MT Twitter tool in
translating dialectical Arabic UGT not only in terms of translation quality but
also in the preservation of the sentiment polarity of the source text. The
experimental section also presents an empirical method to quantify the notion of
sentiment transfer by an MT system and, more concretely, to modify automatic
metrics such that its MT ranking comes closer to a human judgement of a poor or
good translation of sentiment
Hepatoprotactive activity of Ruta chalepensis ethanolic extract and histo-architecture of liver on CCL4 damaged albino male mice
No full text Medicines derivative from plants broadly famous owing to their safety, obtainability and little Leaves, roots, bark, kernels and florae of plant are mostly prepared that included herbal medicines. They are administered orally, inhaled or directly applied in the skin. Ruta chalepensis is take on in the outdated medicine of many countries as a natural herb of the Mediterranean region. Pharmacological properties responsible by using phytochemical screening has shown the attendance of bioactive molecules price. The current study meant to investigate the effect of R. chalepensis ethanolic extract on liver function enzyme (Aspartate Amino-Transferase (AST), Alanine Amino-Transferase (ALT) and Alkaline Phosphatase (ALP) and histological examination of liver section. Obtained showed the ability of plant extract to protect liver from any xenobiotics and provided protection against CCL4 damage on albino male mice
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