Screening for Potential Therapeutic Targets of Yb-1 Protein Using a Bioinformatics Approach

Treatment options for cancer are becoming much more limited due to the robust characteristics of cancer that allows them to rapidly develop drug resistance. This may be a result of cancer cells’ ability to switch between differentiated and undifferentiated states (plasticity). Diagnostic measurement and detection of cancer and its progression is essential for developing successful treatments. Specific cancer targets whose expressions are highly associated with increased incidence, risk, and spread of cancer therefore become perfect targets for therapeutic intervention. One such novel target that is still being studied is the Y-box binding protein 1 (YB-1), which is a prominent transcription factor in many cancer types including breast, liver, and colorectal. Therefore, attacking these cancer targets with specific drugs that act against them may prove to be extremely helpful in fighting off its associated cancer. Taking advantage of the latest bioinformatics tools may aid in streamlining this process

Modelling of a Flexible Manoeuvring System Using ANFIS Techniques

The increased utilization of flexible structure systems, such as flexible manipulators and flexible aircraft in various applications, has been motivated by the requirements of industrial automation in recent years. Robust optimal control of flexible structures with active feedback techniques requires accurate models of the base structure, and knowledge of uncertainties of these models. Such information may not be easy to acquire for certain systems. An adaptive Neuro-Fuzzy inference Systems (ANFIS) use the learning ability of neural networks to adjust the membership function parameters in a fuzzy inference system. Hence, modelling using ANFIS is preferred in such applications. This paper discusses modelling of a nonlinear flexible system namely a twin rotor multi-input multi-output system using ANFIS techniques. Pitch and yaw motions are modelled and tested by model validation techniques. The obtained results indicate that ANFIS modelling is powerful to facilitate modelling of complex systems associated with nonlinearity and uncertainty

Kernel estimation of returns of retirement funds of employers based on monetary earnings (subscriptions and compensation) via regression discontinuity in Iraq

Regression Discontinuity (RD) means a study that exposes a definite group to the effect of a treatment. The uniqueness of this design lies in classifying the study population into two groups based on a specific threshold limit or regression point, and this point is determined in advance according to the terms of the study and its requirements. Thus , thinking was focused on finding a solution to the issue of workers retirement and trying to propose a scenario to attract the idea of granting an end-of-service reward to fill the gap ( discontinuity point) if it had not been granted. The regression discontinuity method has been used to study and to estimate the effect of the end -service reward on the cutoff of insured workers as well as the increase in revenues resulting from that. The research has showed that this reward has a clear effect on increasing revenues due to the regularity of workers in their work and their work continuity . It has also found that using Local Linear Smother (LLS) by using three models of bandwidth selection. Its results after the analysis in the Regression program have been as follows: The CCT (Calonico, Cattaneo & Titiunik) beamwidth gives the best performance followed by the local linear regression using the LK (Lembens and kalyanman) beamwidth. The real data has been used in sample size 71 represented in compensation as a variable of effectiveness (illustrative) X and the revenue as a result or an approved variable Y, while the results of the traditional OLS estimation method have not been good enough

EXAMINING THE EFFECT OF HIGH SEASONALITY ON FRONTLINE EMPLOYEES: A CASE STUDY OF FIVE STARS HOTELS IN AQABA

In recent times, the impact of seasonality on tourism industry has been recognized. There has been a distinct lack of studies that focus on the effects of high seasonality on front-line employees (the receptionist) in hotels. Therefore, this study attempted to address the importance of the receptionist job in high seasonality and the effect of high seasonality on them. To answer the questions of the study, an instrument was used for evaluation. Also, a questionnaire was addressed to both employees and managers. T-test, ANOVA, and multiple regressions were utilized to test the hypotheses. The findings of the study revealed that the high seasonality in hotels has effects on the receptionists regarding miscommunication and bad relation with others during work hours. Therefore, this study has several recommendations for both the managers and the enterprises

The Impact of Menus on the Customer Satisfaction in Restaurants Classified in Aqaba Special Economic Zone Authority (ASEZA)

This research aims to focus on the pricing strategy for the menus and the cost of food, drink, and the types of menus. aims to follow the restaurants the best ways in pricing and calculating the cost of food and drink well, and the design of the menu is eye-catching and containing a meal full food and the presence of the essential elements necessary for human and not- focus on the side without the other.The study reached the following conclusions that the lack of variety and the alternative does not represent statistically reason to leave or leave the restaurant, The menu at the restaurant do not follow the sequence profitable to facilitate the selection process and the search for the desired product. Keyword: Menu, customer satisfaction,   restaurants, Aqaba city

Automatic Extraction Of Malay Compound Nouns Using A Hybrid Of Statistical And Machine Learning Methods

Identifying of compound nouns is important for a wide spectrum of applications in the field of natural language processing such as machine translation and information retrieval. Extraction of compound nouns requires deep or shallow syntactic preprocessing tools and large corpora. This paper investigates several methods for extracting Noun compounds from Malay text corpora. First, we present the empirical results of sixteen statistical association measures of Malay <N+N> compound nouns extraction. Second, we introduce the possibility of integrating multiple association measures. Third, this work also provides a standard dataset intended to provide a common platform for evaluating research on the identification compound Nouns in Malay language. The standard data set contains 7,235 unique N-N candidates, 2,970 of them are N-N compound nouns collocations. The extraction algorithms are evaluated against this reference data set. The experimental results  demonstrate that a group of association measures (T-test , Piatersky-Shapiro (PS) , C_value, FGM and  rank combination method) are the best association measure and outperforms the other association measures for <N+N> collocations in the Malay  corpus. Finally, we describe several classification methods for combining association measures scores of the basic measures, followed by their evaluation. Evaluation results show that classification algorithms significantly outperform individual association measures. Experimental results obtained are quite satisfactory in terms of the Precision, Recall and F-score

Using Financial Analysis Methods in the Hotel Sector for the Purposes of Planning and Monitoring Case Study Al Zaitonia Hotel

The study aimed at indicating the most important factors that control the takings and expenses of the hotel and classifying them according to their ability to influence the profitability of the hotel by using the appropriate analytical financial methods for the hotel activity which contribute in increasing the efficiency of planning and monitoring the hotel activity. The study indicated that the average spending power of the single guest and the numbers of guests are the basic factors that form the hotel's revenues, where the spending power of the single guest was the most powerful factor to influence the profitability of the hotel activity. Accommodation represents the most important factor in forming the spending power for the single guest and consequently influences profitability. The study also showed that the changing and fixed costs elements directly affect profitability and control the activity of the hotel sector and they, therefore, need planning, monitoring and following up by those in charge. Keywords: Financial Analysis, Hotel, Development Planning, Financial services financial management. JEL Classifications: G00, L83,O20, G200, M400

REKABENTUK MODEL SISTEM GUNA SEMULA AIR WUDHUK

Ablution is an essential practice as a Muslim because it is an abligatory requiredto perform prayer. A Muslim use approximately 5 litres of water per singleablution. Approximately, a Muslim use 25 litres of treated water to performablution. Islam categorized the used water produced from an ablution asMusta’mal water. Normally Musta'mal water will be left to flow into the drainagesystem. The accumulated amount of wasted water is significant when it ismeasured at a mosque or surau. The quality of Musta'mal water is far better than the typical quality of the waste water produced from washing activities because there were no oil, grease, soap and dirt except for small quantities ofmiccroorganisms. To overcome this problem, this study focused on thediscussion of reusing ablution water based on Shari'ah law which led to thedevelopment of a system (or model) to reuse ablution water. This ablution water reuse system consists of several parts including ablution water collection tanks, filters, storage tanks, filling tank, water pump and water sensor. This system runs automatically using a water pump and water sensor. The study found that the Shari'ah law allow reuse water to be used again as ablution water. Based on this study, it is found that the ablution water reused system is feasible and is able to be produced from the engineering aspect

Involvement of the nervous system following experimental infection with Pasteurella multocida B:2 in buffalo (Bubalus bubalis): a clinicopathological study

Haemorrhagic septicaemia (HS) is an acute, fatal, septicaemic disease of cattle and buffaloes caused by one of two specific serotypes of Pasteurella multocida B:2 and E:2 in Asian and African, respectively. It is well known that HS affect mainly the respiratory and digestive tracts. However, involvement of the nervous system in pathogenesis of HS has been reported in previous studies without details. In this study, nine buffalo calves of 8 months old were distributed into three groups. Animals of Group 1 and 2 were inoculated orally and subcutaneously with 10 ml of 1 × 1012 cfu/ml of P. multocida B:2, respectively, while animals of Group 3 were inoculated orally with 10 ml of phosphate buffer saline as a control. All calves in Group 1 and Group 3 were euthanised after 504 h (21 day) post-infection, while calves in Group 2 had to euthanise after 12 h post-infection as they develop sever clinical signs of HS. Significant differences were found in Group 2 in the mean scores of clinical signs, gross and histopathological changes which mainly affect different anatomic regions of the nervous system. In addition, successful bacterial isolation of P. multocida B:2 were obtained from different sites of the nervous system. On the other hand, less sever, clinical, gross and histopathological changes were found in Group 1. These results provide for the first time strong evidence of involving of the nervous system in pathogenesis of HS, especially in the peracute stage of the disease

Molecular detection and pathology of Pasteurella multocida B:2 in the reproductive system of pre-pubertal buffalo calves (Bubalus bubalis)

Pasteurella multocida is responsible for one of the major animal diseases with economic importance in both developed and developing countries. P. multocida B:2 causes haemorrhagic septicemia (HS) in cattle and buffaloes, which result in heavy economic losses through direct effect, resulting in high mortality rates and indirect effects through impairment of the animal productivity. It is well known that HS affects mainly the respiratory and digestive tracts of host animals. However, involvement of the reproductive system in the pathogenesis of HS has not been reported previously. This study was designed to present detailed detection and histopathological changes of the reproductive system and mammary glands of buffaloes experimentally infected with P. multocida B:2. Briefly, nine healthy buffalo calves aged 8-month-old were divided into three groups of three calves each. Calves from groups 1 and 2 were inoculated subcutaneously and orally with 10 mL of 1 × 1012 cfu/mL of P. multocida B:2, respectively, while calves of group 3 were inoculated orally with 10 mL of phosphate buffer saline as a sham control. All the calves in group 1 had to be euthanized after 12 h post-infection, while calves in group 2 were euthanized after day 21 post-infection. Successful isolation and PCR confirmation of P. multocida B:2 was achieved from different parts of the reproductive system, including ovary, oviduct, uterine horn, uterine body and vagina as well as mammary glands and supramammary lymph nodes of the buffaloes in group 1 after 12 h post-infection. However, P. multocida B:2 was not detected in the reproductive organs of buffaloes in group 2 and group 3 after 21 days post-infection. Significant differences (P < 0.05) were found in histopathological changes between the two groups, which mainly affected different anatomic regions of the reproductive system. This work provides an insight into the involvement of the female reproductive system of buffaloes during the pathogenesis of HS and shows that route of inoculation strongly affect the localization of the bacterium in the reproductive system