33 research outputs found
Relevance of the Theory of Relevance: Beyond Classical Approaches to Translation: Selected Verses of the Holy Qur'an as a case study
A Master of Arts thesis in Translation and Interpreting MATI (English/Arabic/English) by Atef S. Fayed entitled, "Relevance of the Theory of Relevance: Beyond Classical Approaches to Translation: Selected Verses of the Holy Qur'an as a case Study," submitted in May 2014. Thesis advisor is Dr. Ahmed Ali. Soft and hard copy available.This thesis hypothesizes the theory of relevance in translation a comprehensive theory that may include all the strengths of previous theories and approaches and circumvent their flaws and inefficiencies. The thesis proposes an evolutionary relationship between theory of relevance in translation and other previous theories and approaches. The only weakness the theory suffers from is not finding a guidance as to help the translator adopts which assumption is meant by the addressor. An ideological perspective helps facilitate choosing the intended assumption of the translator and in turn their ideology. The field of putting theory into practice is implemented in some selected Ayahs of the Holy Qur'an as the Holy Qur'an represents a unique genre that includes a hybrid amalgam of all text types. The analysis and findings of the thesis prove the suggested hypothesis valid.College of Arts and SciencesDepartment of Arabic and Translation StudiesMaster of Arts in English/Arabic/English Translation and Interpreting (MATI
ISOLATION, IDENTIFICATION AND BIOCONTROL OF SALMONELLA TYPHIMURIUM IN KARIESH CHEESE BY BACTEIOPHAGE
The study aims to assess the possibility of biological control on one of the most serious pathogenic microbes that found to infect Kariesh cheese, namely Salmonella typhimurium. To achieve this object, firstly a total of 20 Kariesh cheese samples were collected randomly from various markets located at Cairo and exposed to microbiological isolation and identification of S. typhimurium. The obtained results revealed that, S. typhimurium was detected in 30% of surveyed market Kariesh cheese according to the strain identified by polymerase chain reaction (PCR) technique. Secondary, five sewage water samples were obtained from Fac. of Agric., Ain Shams Univ., and Shoubra EL-Kheima station of drinking and sewage water for specific bacteriophage isolation and morphology particles of Salmonella bacteriophage was examined by transmission electron microscope. Third, pasteurized skimmed buffalo’s milk was converted into experimental Kariesh cheese at 40oC by milk inoculation with 2% of freshly activated yoghurt bacterial starter culture and then milk was divided into 5 equal portions. The 1st portion considered as control. The 2nd, 3rd, 4th and 5th portions were contaminated with equal level (1%) of S. typhimurium suspension containing 105 colony forming units (CFU)/mL, previously isolated from foregoing surveyed Kariesh cheese samples, followed by adding phage suspension, from which isolated from sewage water, containing 108 plaque forming units (PFU)/mL at the levels of nil, 1, 2 and 3% respectively. All portions were separately incubated at the same temperature up to curdling. The curds were cut and individually filled into stainless steel moulds lined with cheese cloth and consolidated by a slight pressure for 24 h. The blocks of curd were then cut, dry salted using 2% NaCl (w/w) and packaged into plastic containers. Experimentally, there were proportional reductions in lactic acid bacteria (LAB) population as the level of phage spiked into cheese milk increased, as which the reduction rate of LAB count during cold storage period (CSP) prolonging was however declined. In terms of health safety, although the number of pathogen microbe added was gradually reduced due to the acid developed by prolonging the Cold Storage Period in the absence of phage, but it stilled present until the end of experimental period. While, the pathogen was completely eliminated within 7 days of cheese age when the phage suspension (108 PFU/mL) has been spiked at the level of 1% at least. The contamination of experimental Kariesh cheese with S. typhimurium led to weaken the ability of cheese curd to drain whey as explained from the dry matter (DM) content which decreased due to the presence of pathogen and increased by the pathogen elimination with bacteriophage, which resulted also to increase the protein /DM content. The ash content reduced by both reasons, namely the contamination with S. typhimurium and/or the spiking level of phage suspension. The presence of S. typhimurium slowed the LAB population and acid production by them. Finally, as a conclusion, the spiking of Kariesh cheese milk with 1% Salmonella typhimurium phage suspension (108 PFU/mL) is quite enough to eliminate this microorganism when it present at the level of 1% suspension containing 105 CFU /mL
The smart safety Shoe: A new type of safety shoe that helps prevent lower back problems and opens the door to a new era of preventive safety footwear
The smart safety shoe is a concept safety shoe that has been in development as a collaboration between Allshoes safety footwear and TU Delft since 2020. Previous work on the shoe consisted of 2 graduation projects and a student course which resulted in the current concept of an injury preventing safety shoe focused on preventing lower back pain in the logistics sector. The shoe works by using pressure sensors and machine learning to detect unhealthy postures while its wearer has to lift various objects as part of their job (manual handling). This project focused on further developing the concept of the smart safety shoe and evaluating the prototypes from the last two projects. Previous projects provided two different pressure sensor layouts which are evaluated using a high-end pressure sensing insole. A manual handling experiment was set up and performed on 16 different participants from a lab and a warehouse. During testing participants were instructed to perform manual handling while holding 5 different postures. It was possible to train a machine learning model using the various pressure profiles gathered from the experiment. Using this model, the two sensor layouts from the previous projects were evaluated for their ability to detect the 5 predetermined postures. It was found that the latest layout outperformed the previous one and was therefore selected for further development of the smart safety shoe.The integration of various other sensors and actuators was evaluated, and the core functions of the shoe were defined with an indication towards future improvements of the smart safety shoe.The shoe has now been publicly presented by Allshoes and the goal is to have the product on the market by the end of 2025. In order for this to happen further prototyping is needed to create an improved machine learning model based on the selected sensor layout. The shoe shows promising responses from current safety shoe clients. When finally launched it will be part of a new type of protective equipment focused on prevention.Design for Interactio
VALUE ADDITION TO FROZEN DESSERTS THROUGH INCORPORATION OF PUMPKIN SOLIDS AND UF MILK PERMEATE
Sherbet and Sorbet mixes were prepared to contain 9% fresh mango pulp, per se, 1% cooked pumpkin (CP). The water quantity required for both was replaced with ultrafiltrated milk permeate (UFMP) at the level of 25, 50 or 75%. The obtained results indicated that, separately, CP composed of higher moisture and total nitrogen, total phenolics (TP) as well as radical scavenging activity (RSA) values and lower total flavonoids (TF), carbohydrates contents than mango pulp. In both, Sherbet and Sorbet mixes, water substitution with UFMP was associated with increase in total solids, total and reducing sugars as well as ash contents. Neither acidity %, nor pH values were significantly affected by the partial substitution of water with UFMP in Sherbet mix, although the acidity % of Sorbet mix was significantly increased by UFMP addition. Freezing point of Sherbet or Sorbet mixes was gradually minimized by increasing the substitution level, although the flow behavior index was not influenced in Sherbet but increased in Sorbet mixes. The proportional increment of UFMP level in mix was associated with gradually considerable increase in its consistency coefficient, apparent as well as dynamic viscosities, TP and RSA values of both Sorbet and Sherbet mixes. UFMP led to increase in the specific gravity of mixes before and after freezing as well as elevated the overrun and strengthened the melting resistance of the final product. Furthermore, the frozen dessert of 75% UFMP, whether being Sherbet or Sorbet gained the highest panelists scores for all sensory attributes. It could be concluded that, it could successfully produce a product that meets the intended health purposes based on the substitution of 10% of mango pulp with pumpkin solids of many impressive health benefits as well as the utilization of ultrafiltration milk permeate as a source of the essential electrolytes instead of 75% of required water en route to innovate frozen desserts such as Sherbet and Sorbe
Artificial Intelligence for marketing plan: the case for e-marketing companies
У статті узагальнено аргументи та контраргументи в рамках наукової дискусії щодо застосування штучного інтелекту
(ШІ) при підготовці маркетингового плану в Інтернеті. Систематизація літературних джерел та підходів до вирішення
проблеми застосування маркетингових інструментів засвідчила, що ШІ дозволяє підвищити ефективність проведення
аналізу конкурентоспроможності компаній, оцінювання стратегій конкурентів, планування маркетингового бюджету та
моніторінгу його виконнання тощо. Виявлено проблеми ШІ, які можуть вплинути на ефективність діяльності компаній.
Метою роботи є дослідження можливостей використання ШІ при підготовці маркетингового плану компанії. Для досягнення
поставленої мети, дослідження проведено у наступній логічній послідовності: 1) формування стратифікованої вибірки
дослідження на основі статистичних даних 141 компанії в різних галузях; 2) аналіз даних за допомогою програмного
забезпечення SPSS; 3) аналіз можливостей застосування ШІ при підготовці маркетингового плану; 4) визначення етапів
процесу підготовки маркетингового плану на основі можливостей ШІ. Об’єктом дослідження є компанії Королівства
Саудівської Аравії. Практичну реалізацію всіх етапів дослідження здійснено з використанням статистичних методів
множинної регресії та тесту Фрідмана. Дослідження емпірично підтверджує та теоретично доводить, що ШІ має суттєве
значення у процесі розробки маркетингових планів завдяки можливостям аналізу зовнішнього середовища та стратегій
конкурентів, а також формування маркетингових цілей компанії. При цьому ШІ може застосовуватись у підготовці та оцінці
бюджету та маркетингового плану, а також здійснювати подальший моніторінг їх виконання. У ході дослідження автор
приходить до висновку, що ШІ сприяє кращому розумінню цільових ринків та аудиторії, дозволяє підготувати відповідні
стратегії. Наведено практичні рекомендації щодо особливостей застосування ШІ при підготовці маркетингового плану
компанії.This paper summarises the arguments and counterarguments within the scientific discussion on
artificial intelligence (AI) in preparing a marketing plan for e-marketing organizations. This research aims to identify
the extent of the contribution of AI in preparing the marketing plan. The author noted that intended to know how emarketing companies could use AI techniques in situation analysis, analyze competitors' strategies, strategic goals,
preparing marketing strategies, preparing an estimated marketing budget, and control a marketing plan.
Systematization of the scientific background and approaches on preparing a marketing plan for e-marketing
organizations indicates that many companies, especially small companies, marketing their products via the Internet,
cannot develop a successful marketing plan. In turn, it could be solved through the use of AI techniques. The study
was conducted on a group of companies that market their products via the Internet in the Kingdom of Saudi Arabia.
To gain the research goal, this study was carried out in the following logical sequence: 1) developing the stratified
sample by collecting statistical information for 141 company in a variety of fields; 2) analyzing the data using SPSS;
3) predicting how AI could be used in preparing the marketing plan; 4) identifying the arrangement of the steps for
preparing the marketing plan in terms of the ability of AI techniques. The methodological tools of the study were
methods of the multiple regression analysis and the Friedman test. The study empirically confirms and theoretically
proves that AI contributes significantly in developing marketing plans through its great contribution to environmental
analysis and analysis of competitors' strategies and setting marketing goals. Besides, AI contributes to preparing the
budget and appreciating the marketing plan, to its evaluation and control. The author mentioned that AI provides
understanding and selecting target markets and sectors, targeting customers, and preparing appropriate marketing
mix strategies for each market sector. Therefore, the study provides recommendations to online organizations to
use AI in preparing their marketing plan because of its great ability to contribute to this
Stresses at the Intersection of Sphere and Cylinder by a Variant Finite-Difference Method
The aim of this paper is the determination of stresses at the intersection of cylinder with the sphere using a variant finite-difference technique. Mesh lines are drawn on the cross section of the body which are roughly parallel and perpendicular to the boundary, and which the author calls natural meshes. Discretization of the governing differential equations must be carried out to reduce the continuous problem to a discrete problem, this discretization converts the problem into a set of linear simultaneous equations for the functions under consideration at a set of mesh points. The derivatives to be inserted in the governing equations and boundary conditions are found by writing Taylor series expansions at a point in terms of five neighboring points in the case where the point is an internal point (four for a boundary point). By an elimination process the derivatives can be eliminated for each point, and we are left with the unknown functions only.</jats:p
Proyek Pembangunan Jalan Tol Bekasi - Cawang - Kampung Melayu (BECAKAYU) Seksi 2A Ujung
Dalam masa perkuliahannya di Perguruan Tinggi, Mahasiswa banyak mempelajari teori mengenai ilmu-ilmu di bidang yang ditekuninya. Namun Mahasiswa juga dituntut agar dapat
mengaplikasikan teori-teori yang didapatkannya di perkuliahan untuk diterapkan ke dalam pelaksanannya di lapangan. Salah satu yang dijalankan oleh Departemen Teknik Sipil Insitut Teknologi Sepuluh Nopember adalah dengan Kerja Praktek. Penulis berkesempatan melakukan kerja praktek di Proyek Pembangunan Jalan Tol Bekasi – Cawang – Kampung Melayu Seksi 2A Ujung.
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During their studies at University, students study a lot of theory regarding the sciences in his field of interest. However, students are also required to do so
apply the theories he gets in lectures to be applied inward
implementation in the field. One of which is run by Civil Engineering Department Sepuluh Nopember Institut of Technology is by practical work. The author had the opportunity to do practical work on the Road Construction Project Bekasi - Cawang - Kampung Melayu Toll Road Section 2A Ujung
High‐Throughput Image Cytometry Detection Method for CAR‐T Transduction, Cell Proliferation, and Cytotoxicity Assays
Impact of the follicular fluid Coenzyme Q10 level in women undergoing intracytoplasmic sperm injection (ICSI) on the pregnancy rate
Background: The most crucial problem with in vitro fertilization (IVF) cycles is still oocyte quality. The women age and the condition of their ovarian reserve are the primary determinants of oocyte quality.
Objectives: to assess the effects of intracytoplasmic sperm injection (ICSI) on the result of pregnancies and the coenzyme Q10 (CoQ10) value in follicular fluid (FF) in the women who had the procedure.
Patients and methods: this cohort investigation was conducted on 81 infertile patients (age between 20-42 years, both normal or poor responders’ patients and patients with unexplained infertility) who underwent ICSI cycles.
Results: patients were divided into two groups: the pregnant group (n= 32) and the non-pregnant group (n= 49).There was a statistically insignificant difference in antral follicle count (AFC), number of retrieved oocytes, number of embryos, number of metaphase II (MII) oocytes, and maturation index between pregnant and non-pregnant females. CoQ10 level in FF was substantially greater in pregnant than non-pregnant females.
Conclusion: FF CoQ10 levels were positively correlated with eventual embryo quality and rates of conception. Our findings might be in favour of CoQ10 supplementation in women undergoing IVF for enhancement of the ovum and embryo quality
Simulation and optimization model for electrical substation construction
© 2018 The author(s). One of the most complex construction projects is electrical substations. Construction of electrical substation includes civil works and electromechanical works. The scope of civil works includes construction of several buildings divided into parallel and overlapped working phases that require variety of resources and are generally quite costly and consume a considerable amount of time. The construction industry is becoming increasingly competitive over the years, whereby the need to continuously find ways to improve construction performance. In order to address the aforementioned adversities, this paper takes the initial steps and presents simulation and optimization model for the execution processes of civil works for an electrical substation using a data base excel file for input data entry. The input data include bill of quantities, resources breakdown, maximum available resources, production rates, unit cost of resources and indirect cost. The model is built on Anylogic software using discrete event simulation method. The model is divided into three zones working in parallel to each other. Each zone includes a group of buildings related to the same construction area. Each zone-model describes the execution process of each building in the zone, the time consumed, percentage of utilization of equipment and manpower crews, amount of materials consumed, total direct and indirect cost. The model is then optimized to mainly minimize the project duration using a parameter variation experiment and a genetic code implemented using Anylogic platform. The models were then tested on a real case study in Egypt. The models prove efficiency by attaining a reduction in model time units between simulation and optimization experiments of 10.25% and reduction in total cost of 4.7%. An analysis to determine the effect of each resource on reduction in cost was presented. However, the model is limited to the scope of civil works, without considering the electromechanical works and the effect of risk factors on time and cost
