11 research outputs found
Multi resonance patch antenna with multiple slits
No full textIn this paper, we have presented a new design of a multi resonance patch antenna with multiple slits. Slits are located on the three sides of the designed antenna. It is simulated in a planar 3D electromagnetic simulation program, called Sonnet Software, designed on the Aluminum (96%) substrate and operates at three frequencies with reflection coefficient (S11) values lower than -10 dB. Values for the operating frequencies are 4.14, 5.52, 9.24 GHz. Electric field theta polarized gains for these three frequencies are; 8.09, 8.35, and 8.39 dBs respectively. Cross polarization levels are well below -10 dB. A parametric study was conducted by changing the gap size and the dielectric thickness. As a result of the parametric study, it is seen that fabrication tolerances of the antenna are good enough
THE EFFECT OF N-NH3 INCLUSION ON THE DEGRADATION OF TANNIN OF SORGHUM GRAIN BY RUMEN MICROBES
No full textTwo experiments were conducted to study the effect of N-NH3 inclusion in the rumen liquor on the degradation of tannin of whole sorghum grain. The first experiment was carried out to determine the effect of N-NH3 inclusion doses in the rumen liquor on the degradation of sorghum grain tannin. The urea as a source of N-NH3 were included in rumen liquor at doses of 0, 0.5, 1.0, and 1.5% from the weight of whole sorghum grain (w/w). The degradation of sorghum grain tannin was increased (P<0.05) by the doses of N-NH3 inclusion, but the degradation of sorghum grain tannin began to decrease at 1.5% of N-NH3 inclusion dose. In the second experiment, the 1% of N-NH3 inclusion dose was used to evaluate the duration of fermentation in the rumen liquor. The whole sorghum grain were fermented for 12h, 24h, 48h, and 48h in the rumen liquor. The 48h of fermentation gave a highest production of total protein
production. The growth of tannase producing rumen microbes could be enhanced by inclusion of N-NH3
A method for early-stage design current loads determination on drill-ships
No full textThe increasing demand for offshore operations in deep water implies the necessity to predict station-keeping ability of offshore vessels since the early stages of design. To this end, besides developing sufficiently fast and accurate methodologies for the equilibrium resolution of the forces acting on the ship, it is of utmost importance to estimate, in a reliable way, the external forces acting on the vessel. This work focuses on the current loads, aiming at developing a model for fast current load prediction based on high-fidelity Computational Fluid Dynamics (CFD) computations. Selecting the drill-ships as reference vessel-type for the study, starting from the actual fleet operating worldwide, a systematic series of hulls has been generated varying the main hull-form parameters inside the database, according to a Box-Behnken scheme. CFD calculations based on RANS equations have been performed on the whole ship set, for a set of incidence angle varying from 0 to 180 degrees considering the hull symmetric. As numerical analyses are not suitable for fast calculations the results on the systematic series have been used as input for developing a surrogate model based on Multiple Linear Regressions (MLR). The method allows for scaling the results as a function of the Reynolds number, allowing for general and flexible applicability among different vessel dimensions. The results obtained with the developed model are compared with the conventional current loads estimation methods, and the obtained results are compared on the capability plot, highlighting the higher reliability of the proposed model for early-stage predictions.Ship Design, Production and Operation
Regression analysis for container ships in the early design stage
No full textThe seaway trade market has expanded in the last years and container ship dimensions are constantly increasing for higher cargo capacity. In the early design stage, main dimensions are usually determined based on an existing ship database from which regression formulas are derived. In the present paper, a database of 260 non-sister container ships built from 1979 to 2022, representing 20% of the world fleet, has been considered to derive and compare different types of regressions. Simple regressions have been developed and compared with equivalent formulations available in literature, proving better approximations of the trends. The study has been further extended by multivariable regressions and forest tree algorithms, which allow the use of more than one independent variable and provide a better fitting compared to simple regressions. Forest tree regressions return the highest values of fitting coefficients, but the technique is not of easy application due to the absence of mathematical expressions. The main contribution is the updated set of simple and multivariable regression formulas which have a higher goodness of fit than previous works and can be easily employed by designers in the early design stage and in multi-attribute design procedures.Ship Design, Production and Operation
Female characters in plays and prose of Milan Begović
No full textOvaj diplomski rad ima za cilj analizirati ženske likove u dramama i prozama Milana Begovića. Korpus Begovićevih dramskih tekstova vrlo je opsežan te je potrebno pomno iščitavanje njegovih djela kako bi se ograničio onaj korpus književnih tekstova u kojima je dominantna problematika žene i ženstva. U prvom dijelu rada autorica će dati detaljnu biografiju i bibliografiju pisca, jednako kao što će kronološki klasificirati njegova djela do 1952. godine. Nakon detaljnog prikaza autorica će opisati poetske konvencije hrvatske moderne koje su utjecale na oblikovanje Begovićevih drama i proznih djela te karakterizaciju ženskih likova. U središnjem dijelu rada, na osnovu konzultirane stručne literature, bit će opisan položaj žene u 19. stoljeću koji je utjecao i na oblikovanje ženskih likova u književnosti uopće, a napose u Begovićevim djelima. Nakon toga će se uspostaviti klasifikacija ženskih likova u odabranom korpusu Begovićevih književnih tekstova, među kojima su najistaknutiji Gospođa Walewska, Božji čovjek, Pustolov pred vratima i Giga Barićeva kao najbolji prikaz žene i ženstva, te njihove borbe za sebe i svoj status. Na samome će kraju biti dat kratki uvid u Begovićeve erotske proze.This thesis aims to analyze the female characters in the plays and prose of Milan Begovic. The corpus of Begovic's dramatic texts is very extensive and a careful reading of his works is needed to limit the corpus of literary texts in which women and womanhood are dominant. In the first part of the work, the author will provide a detailed biography and bibliography of the writer, just as he will classify his works chronologically until 1952. After a detailed presentation, the author will describe the poetic conventions of Croatian modernity that influenced the design of Begovic's plays and prose works and the characterization of female characters. The central part of the paper, based on the expert literature consulted, will describe the position of women in the 19th century, which influenced the shaping of female characters in literature in general, and especially in Begovic's works. Subsequently, a classification of female characters will be established in a select corpus of Begovic literary texts, the most prominent being Ms. Walewska, the Man of God, the Adventurer at the Door, and Giga Baric as the best portrayal of woman and womanhood, and their struggles for themselves and their status. At the very end, a brief insight into Begovic's erotic prose will be given
Comparisons of the execution times and memory requirements for high-speed discrete fourier transforms and fast fourier transforms, for the measurement of AC power harmonics
No full textConventional wisdom dictates that a Fast Fourier Transform (FFT) will be a more computationally effective method for measuring multiple harmonics than a Discrete Fourier Transform (DFT) approach. However, in this paper it is shown that carefully coded discrete transforms which distribute their computational load over many frames can be made to produce results in shorter execution times than the FFT approach, even for large number of harmonic measurement frequencies. This is because the execution time of the presented DFT actually rises with N and not the classical N2 value, while the execution time of the FFT rises with Nlog2N
The Impact of Different Bow Shapes on Large Yacht Comfort
No full textThe importance of comfort during transfer and stationing becomes a key performance parameter for large yacht design, on the same level as propulsive issues. Such a matter extends questions in terms of form and service demand to the motion behaviour of the unit in waves. Relevant studies refer to outdated hull forms not specific to modern large yachts. In this study, five hull forms with different bow concepts represent the most common design solutions for yachts at constant draught and displacement. The preliminary ranking on the effect of alternative bows on comfort requires the definition of internationally accepted comfort standards. Here, the AWI 22834 guidelines for large yachts provide the service and environmental conditions and criteria for the comfort analysis, being the only reference specific to yachts. The calculations employ a strip-theory-based numerical model to provide results of easy understanding for designers during the early design stage. The obtained ranking among the design solutions on a reference large yacht favours the option nested with a bulb, contradicting the expectations in favour of a vertical bow concept. The discussion and conclusions provide a way forward for additional analyses and investigations aimed at proposing suitable multicriterial design guidelines for large yachts. However, the results also show the unsuitability of AWI environmental and encounter conditions for hull form ranking
Collaboration, coordination and communication as facilitators of transitions for patients with advanced cancer: a scoping review linked to the Pal-Cycles project
No full textBackground: Person-centred care is becoming increasingly recognised as an important element of palliative care. The current review syntheses evidence in relation to transitions in advanced cancer patients with palliative care needs. The review focuses on specific elements which will inform the Pal-Cycles programme, for patients with advanced cancer transitioning from hospital care to community care. Elements of transitional models for cancer patients may include, identification of palliative care needs, compassionate communication with the patient and family members, collaborative effort to establish a multi-dimensional treatment plan, review and evaluation of the treatment plan and identification of the end of life phase. Methods: A scoping review of four databases (MEDLINE, EMBASE, CINAHL, PsycINFO) was conducted to identify peer-reviewed studies published from January 2013 to October, 2022. A further hand-search of references to locate additional relevant studies was also undertaken. Inclusion criteria involved cancer patients transitions of care with a minimum of two of components from those listed above. Studies were excluded if they were literature reviews, if transition of care was related to cancer survivors, involved non-cancer patients, had paediatric population, if the transition implied a change of therapy and or a lack of physical transit to a non-hospital place of care. This review was guided by Arksey and O¿Malley¿s framework and narrative synthesis was used. Results: Out of 5695 records found, 14 records were selected. Transition models identified: increases in palliative care consultations, hospice referrals, reduction in readmission rates and the ability to provide end of life care at home. Transition models highlight emotional and spiritual support for patients and families. No uniform model of transition was apparent, this depends on the healthcare system where it is implemented. Conclusions: The findings highlight the importance of collaboration, coordination and communication as central mechanisms for transitional model for patients with advanced cancer. This may require careful planning and will need to be tailored to the contexts of each healthcare system. © The Author(s) 2024
Multisystem inflammatory syndrome in a young adult successfully treated with plasmapheresis, immunoglobulins, and corticosteroids: a case report
No full textA novel condition named multisystem inflammatory syndrome has raised the alarm worldwide and is leading to severe illness and long-term effects in the post-COVID era. This condition includes infection with fever, abdominal symptoms, acute cardiac injury, and shock. It has similarities with severe forms of Kawasaki disease (KD). In this study, we present a case of a 20-year-old male patient with multisystem inflammatory syndrome associated with COVID-19 infection who was successfully treated with plasmapheresis, immunoglobulins, and steroids for 4 h/day without heparinization or ultrafiltration. Plasmapheresis represents a therapeutic option for KD in patients with all other therapeutic strategies that have failed. However, there is no evidence from controlled clinical trials confirming this option. In our case, plasmapheresis was beneficial in stabilizing and improving the patient's clinical condition. Given the pathophysiological and therapeutic similarities between KD and multisystem inflammatory syndrome, it could be considered a therapeutic option
Deep Transfer Learning for Food Recognition
No full textFood Recognition is an essential topic in the area of computer of its target applications is to avoid achieving a cashier at the dining place. In this paper, we investigate the application of Deep Transfer Learning for food recognition. We fine-tune three well learning models namely; AlexNet, GoogleNet, and Vgg16. The fine tuning procedure depends on removing the last three layers of each model and adds another five new layers. The training and validation of each model conducted through food a dataset collected from our university's canteen. The dataset contains 39 food types, 20 images for each type. The fine-tuned models show similar training and validation performance and achieved 100% accuracy over the small-scale dataset
