Anti-cancer, Anti-inflammatory, Cytotoxic and Biochemical Activities of a Novel Phosphonotripeptide Synthesized from Formyl Pyrazolofuran using TUBU as Condensing Agent

A novel and mild protocol for the synthesis of phosphonotripeptide 16 were achieved from novel formylpyrazolofuran 3, benzyl carbamate 5, triphenyl phosphite 6 by Birum-Oleksyszyn reaction using copper (II) trifliate as Lewis acid catalyst in dry dichloromethane at room temperature which synthesis of novel N-benzyloxy-α-aminophosphonate 7 . A mechanism for this condensation reaction is proposed. Cleavage of the N-benzyloxy carbonyl group under acid hydrolysis afford the free α-aminophosphonate 9 in quantitative yield. This in turn, by reaction with N-phthaloylglycine 12 via TUBU to phthalimido group 13.Cleavage of phthalimido group under hydrazinedihydrochloride afford free peptide 14 .the result phosphonotripeptide 16 obtained by the reaction of free peptide with bioactive cyclic moiety-COCl 15. The structures of all new compounds were established by IR,1HNMR and mass spectral data. Also anti-cancer, anti-inflammatory  and biochemical activities of all these compounds were reported

Study of Unconventional Alternatives to Vertical Breakwater

The main objective of the breakwaters is to protect the port, the beach or the beach facilities from strong waves and storms, as they help to establish calm inside the port and thus achieve safety for ships, and ease of operation. This research aims to present study unconventional alternatives to vertical breakwater. In this study, two different models of vertical wave barriers implemented were chosen for their study and evaluation of the hydrodynamic performance. The first model is a vertical wall with circular slots and the second model is a vertical wall with square slots. A comparison was made between the two models it was found that the square slots reduce the transmission of waves more than circular slots by 5 to 20%. The use of two circular slotted walls decreases wave transmission by up to 30% and increases wave energy dissipation by up to 40% as compared to a single wall. With increasing relative length (h/L), the horizontal wave force rises. The relative wave forces (F/Fo), at porosity ( ) =0.25, was greater than at porosity ( ) = 0.50 by 10 to 30%. At the openings, the wave velocity is high, and the wave energy dissipation factor was also high; the higher the wave amplitude, the greater the wave energy dissipation factor

Managers Motivational Antecedents To Support Activity-Based Costing Systems

The past three decades have witnessed a growing trend in using activity-based costing systems. Management and accounting research have identified management support as one of the focal points for successful implementation of such systems. However, little research has been done to study managers motivational antecedents to support activity-based costing systems in the Middle East as well as in the Asian countries. It is expected that the level of support differs from one culture to another. This paper addresses this issue in an experimental setting where 129 managers from two different cultures were asked to respond to judgmental decisions to support activity-based costing systems. Two models of the expectancy theory (the force model and the valence model) were used to measure the motivational support for activity-based costing systems. The authors hypothesized that these models provide better explanations than a chance model. The results of the regression analyses support the research hypotheses. However, the force model had a higher explanatory power than the valence model

Bank lending, macroeconomic conditions and financial uncertainty: Evidence from Malaysia

AbstractIn this paper, we examine the interrelations between bank lending, macroeconomic conditions and financial uncertainty for an emerging economy, Malaysia. Adopting time series techniques of cointegration, causality and vector autoregressions (VARs), we arrive at the following main results. We note long run positive relations between real output and both real bank credits and real stock prices. However, with slow adjustment of real output in responses to credit expansion or stock price increase and weak exogeneity of the latter two variables, both credits and stock prices can be persistently higher than their fundamental values. The phenomenon can be detrimental since it heightens market uncertainty. Our results suggest that heightened market uncertainty is negatively related to output in the long run and, on the basis of dynamics analysis, it is likely to depress real output, real credit and real stock prices. At the same time, we note significant dynamic impacts of interest rate shocks on other variables. Taken together, these results have important implications for macroeconomic performance and stability for the case of Malaysia

Forecasting the Real Estate Housing Prices Using a Novel Deep Learning Machine Model

There is an urgent need to forecast real estate unit prices because the average price of residential real estate is always fluctuating. This paper provides a real estate price prediction model based on supervised regression deep learning with 3 hidden layers, a Relu activation function, 100 neurons, and a Root Mean Square Propagation optimizer (RMS Prop). The model was developed using actual data collected from 28 Egyptian cities between 2014 and 2022. The model can forecast the price of a real estate unit based on 27 different variables. The model is created in two stages: adjusting the parameters to obtain the best ones using a sensitivity k-fold technique, then optimizing the result. 85 percent of the real estate unit data gathered was used in training and developing the model, while the other 15 percent was used in validating and testing. By using a dropout regularization technique of 0.60 on the model layers, the final developed model had a maximum error of 10.58%. After validation, the model had a maximum error of about 9.50%. A graphical user interface (GUI) tool is developed to make use of the final predictive model, which is very simple for real estate developers and decision-makers to use. Doi: 10.28991/CEJ-SP2023-09-04 Full Text: PD

Effect of Microalloying Elements on the Heat Treatment Response and Tensile Properties of Al-Si-Mg Alloys

This study was carried out on a series of heat-treatable Al-Si-Mg alloys to determine the effects of Fe, Mg, Sr and Be addition on their microstructural characteristics and tensile properties. The results showed that the eutectic temperature was reduced by 10°C with 0.8 wt% Mg addition. The solidification curves and first derivatives of Sr-free alloys with high Fe and Mg contents revealed a peak at 611°C consequent to the formation of a script-like Be-Fe (Al8Fe2BeSi) phase, which was very close to the peak for α-Al. The morphology of the β-iron platelets underwent changes due to their dissolution, thinning, necking, and fragmentation with increase in solutionizing time. Increased Mg contents are beneficial to the tensile properties unlike the detrimental effect of increasing Fe contents. Additions of Be and Sr noticeably improved the properties at the same Fe and/or Mg contents, the enhancements being markedly observed at higher Mg contents and reduced Fe levels. At high Fe levels, addition of Be is preferable as it neutralizes the deleterious effects of Fe in these alloys; however, addition of 500 ppm Be is inadequate for interacting with other alloying elements

Adaptive Neuro Fuzzy Technique for Speed Control of Six-Step Brushless DC Motor

The brushless DC motors with permanent magnets (PM-BLDC) are widely used in a miscellaneous of industrial applications. In this paper, The adaptive neuro fuzzy inference system (ANFIS) controller for Six-Step Brushless DC Motor Drive is introduced. The brushless DC motor’s dynamic characteristics such as torque , current , speed, , and inverter component voltages are showed and analysed using MATLAB simulation. The  propotional-integral (PI) and fuzzy system controllers  are developed., based on designer’s test and error process and experts. The  experimential and hardware resuts for the inverter- driver circuits are presented. The simulation results using MATLAB simulink are conducted to validate the proposed (ANFIS) controller’s robustness and high performance relative to other controllers

Impact of Rehabilitative Ultrasonography Imaging on Core Muscle Function in Patients with Visceral Adiposity: Randomized Controlled Trail

Background: Overweight is an excessive fat accumulation that may impair health. Visceral adiposity is one of the common causes of decreased endurance and strength of core stabilizing muscles, lumbar spine dysfunction and respiratory impairment. Consequently, this study aimed to determine the impact of rehabilitative ultrasonography imaging (RUSI) guided core muscle exercise, cavitation lipolysis and their combination on visceral fat thickness, waist circumference (WC), transverse abdominis (TrA) activation ratio, and diaphragmatic excursion in patients with visceral adiposity. Methods: forty-five patients diagnosed as overweight with localized abdominal visceral fat deposits, recruited from clinical nutrition unit, Elminya University Hospital. Patients age ranged from 25 to 45 years, body mass index (BMI) was 25-29.9 kg/m2, WC was more than 102 cm for men and 88 cm for women and patients hadnt received lipolytic medications. They were divided randomly into three equal groups, Group (A) received RUSI guided core muscle exercise, group (B) received cavitation lipolysis and group (C) received RUSI core muscle exercise and cavitation lipolysis. Evaluation was done by ultrasonography imaging and tape measurement at the beginning and after 5 weeks. Result: There was a significant improvement in transverse abdominis activation ratio and diaphragmatic excursion in the three groups (p\u3c0.05) as well as decrease in visceral fat thickness and WC in group B & C (p \u3c 0.05), whereas, there is non-significant difference in group A (p\u3e 0.05). Conclusion: Combination of RUSI guided core muscle exercise and cavitation lipolysis are effective approach in decreasing visceral fat thickness and WC, as well as improving transverse abdominis activation ratio and diaphragmatic excursion in patients with visceral adiposity

Can deficit irrigations be an optimum solution for increasing water productivity under arid conditions? A case study on wheat plants

Water scarcity is of growing concern in many countries around the world, especially within the arid and semi-arid zones. Accordingly, rationalizing irrigation water has become an obligation to achieve the sustainable developmental goals of these countries. This may take place via using deficit irrigation which is long thought to be an effective strategy to save and improve water productivity. The current study is a trial to evaluate the pros and cons of using 50 and 75 % of the irrigation requirements (IR) of wheat (deficit irrigations) versus 100 %IR, while precisely charting changes in wheat growth parameters, antioxidant enzymes in plant shoots and the overall nutritional status of plants (NPK contents). Accordingly, a field experiment was conducted for two successive seasons, followed a split-plot design in which deficit irrigations (two irrigations to achieve 50 % of the irrigations requirements (IR), three irrigations to attain 75 % IR, and four irrigations to fulfill 100 % IR) were placed in main plots while four different studied wheat cultivars were in subplots. Results obtained herein indicate that deficit irrigations led to significant reductions in growth parameters and productivity of all wheat cultivars, especially when using 50 % IR. It also decreased NPK contents within plant shoots while elevated their contents of proline, peroxidase, and catalase enzymes. On the other hand, this type of irrigation decreased virtual water content (VWC, the amount of water used in production on ton of wheat grains). Stress tolerance index (STI), and financial revenues per unit area were also assessed. The obtained values of grain productivity, STI, VWC and financial revenues were weighted via PCA analyses, and then introduced in a novel model to estimate the efficiency of deficit irrigations (ODEI) whose results specified that the overall efficiency decreased as follows: 50 %IR < 75 %IR < 100 %IR. In conclusion, deficit irrigation is not deemed appropriate for rationalizing irrigation water while growing wheat on arid soils