Neoadjuvant Chemoradiotherapy in Non-cardia Gastric Cancer Patients - Does it Improve Survival?

Saedi, Hamid Saeidi,Mansour-Ghanaei, Fariborz,Joukar, Farahnaz,Shafaghi, Afshin,Shahidsales, Soodabeh,Atrkar-Roushan, Zahra Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.20

Background: Survival rates after resection of advanced gastric cancer are extremely poor. An increasing number of patients with gastric carcinomas (GC) are therefore being treated with preoperative chemotherapy. We evaluated 36 month survival rate of GC patients that were treated by adding a neoadjuvant chemoradiotherapy before gastrostomy.Materials and Methods: Patients with stage II or III gastric adenocarcinomas were enrolled. The patients divided into two groups: (A) Neoadjuvant group that received concurrent chemoradiation before surgery (4500cGy of radiation at 180cGy per day plus chemotherapy with cisplatin and 5-fluorouracil, in the first and the end four days of radiotherapy). Resection was attempted 5 to 6 weeks after end of chemoradiotherapy. (B) Adjuvant group that received concurrent chemo-radiation after surgical resection. Results: Two (16.7%) patients out of 12 patients treated with neoadjuvant chemo-radiotherapy and 5 (38.5%) out of 13 in the surgery group survived after 36 months. These rates were not significantly different with per protocol and intention-to-treat analysis. The median survival time of patients in group A and B were 13.4 and 21.6 months, respectively, again not significantly different. Survival was significantly greater in patients with well differentiated adenocarcinoma in group B than in group A (p<0.004). Conclusions: According to this study we suggest surgery then chemoradiotherapy for patients with well differentiated gastric adenocarcinoma rather than other approaches. Additional studies with greater sample size and accurate matching relying on cancer molecular behavior are recommended.

Preparation of Carrageenan-based Antimicrobial Films Incorporated With Sulfur Nanoparticles

Saedi, Shahab,Shokri, Mastaneh,Rhim, Jong-Whan Korea Society of Packaging Science and Technology 2020 한국포장학회지 Vol.26 No.3

Carrageenan-based functional films were prepared by adding two different types of sulfur nanoparticles (SNP) synthesized from sodium thiosulfate (SNPSTS) and elemental sulfur (SNPES). The films were characterized using Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction spectroscopy (XRD), and thermal gravimetric analysis (TGA). Also, film properties such as UV-visible light transmittance, water contact angle (WCA), water vapor permeability (WVP), mechanical properties, and antibacterial activity were evaluated. SNPs were uniformly dispersed in the carrageenan matrix to form flexible films. The addition of SNP significantly increased the film properties such as water vapor barrier and surface hydrophobicity but did not affect the mechanical properties. The carrageenan/SNP composite film showed some antibacterial activity against foodborne pathogenic bacteria, L. monocytogenes and E. coli.

The Simple Model for Welded Angle Connections in Fire

Amir Saedi Daryan 한국강구조학회 2017 International Journal of Steel Structures Vol.17 No.3

Due to the high sensitivity of fire affected steel behavior, fire resistance of steel structures is of great importance. Moreover, since the connections act as the main means of integration of frame members, the behavior of steel connections in fire is significantly important. Considering the importance of this matter, this paper describes a spring-stiffness model developed to predict the behavior of welded angle connections made of bare-steel at elevated temperature. The joint components are considered as springs with predefined mechanical properties i.e. stiffness and strength. The elevated temperature joint’s response can be predicted by assembling the stiffness of the components which are assumed to degrade with increasing temperature based on the recommendations presented in the design code. Comparison of the results from the model with existing experimental data shows good agreement. The proposed model can be easily modified to describe the elevated temperature behavior of other types of joints as well as joints experiencing large rotations.

Seismic Design Optimization of Steel Frames with Steel Shear Wall System Using Modified Dolphin Algorithm

Amir Saedi Daryan,Mohadeseh Salari,Neda Farhoudi,Soheil Palizi 한국강구조학회 2021 International Journal of Steel Structures Vol.21 No.3

The fi rst step in any successful design of a structure is selecting the exact and accurate designing method. Designing a structure most economically (i.e. materials such as steel and concrete) by satisfying seismic and gravity criteria based on codes of practice is a complicated procedure that requires not only technical engineering knowledge but also years of experience. Thus, this paper presents an effi cient and reliable approach to obtain the optimum design in steel frames with shear walls as the main seismic bearing component. The main objective is to use a modifi ed dolphin echolocation algorithm with a multi-variability ability approach in achieving the optimized results. This approach represents the best positioning option for steel shear walls in elevations, spans, and dimensions of the elements. According to modifi cations applied to the algorithm, the computational time decreases, and the results are highly accurate. The designed structures with the minimum amount of steel satisfy all the requirements in the seismic design and steel structures design code, and the results of this work are entirely effi cient. This effi ciency is illustrated by three numerical examples. The results illustrated the superiority of the metaheuristic approach over the standard procedure. Besides, considering the weight of shear wall for the fi rst time led to the 10% reduction of the weight of the structure.

The effect of polyurethane on the structure and performance of PES membrane for separation of carbon dioxide from methane

Shahab Saedi,Sayed S. Madaeni,Keyumars Hassanzadeh,Ahmad Arabi Shamsabadi,Saeed Laki 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4

In the present study, asymmetric gas separation membranes of polyethersulfone (PES) and polyethersulfone/polyurethane (PU) were prepared with different blend compositions. The prepared membranes were investigated for the separation of carbon dioxide from methane. The effect of PU on the microstructure and d-spacing of the membranes was studied by X-ray diffraction analysis and the miscibility of PES and PU was investigated using Differential Scanning Calorimetry (DSC). The thermal properties of PES and PES/PU were compared using Thermal Gravimetric Analysis (TGA). The effect of PES/PU blend composition on the morphology and porosity of the membrane was investigated by Scanning Electron Microscopy (SEM) and porosity experiments. Density Functional Theory (DFT) calculations were used to investigate the relative affinity of CO2, CH4 and H2O for PES and PU. Moreover, the effect of PU on the casting solution viscosity, gas sorption and mechanical properties of the PES membrane was investigated. For comparing gas separation performance of PES and PES/PU membranes, pure and mixed gas experiments were carried out. The obtained results indicated that the presence of PU in the casting solution increases the d-spacing and fractional free volume, and decreases the membrane porosity; Tg and thermal resistance, membrane gas sorption as well as CO2 induced plasticization by decreasing Langmuir capacity, and also increases strength at yield and elongation at yield of PES membrane. The presence of PU decreases the CO2 permeance and enhances the CO2/CH4 selectivity and plasticization pressure of the PES membrane. Furthermore, the presence of the PU changes the membrane behavior against the feed pressure, feed temperature and feed composition in the mixed gas experiments.

Differential Expression of Hox and Notch Genes in Larval and Adult Stages of Echinococcus granulosus

Ebrahim Saedi Dezaki,Mohammad Mehdi Yaghoobi,Elham Taheri,Pooya Ghaseminejad Almani,Farideh Tohidi,Bruno Gottstein,Majid Fasihi Harandi 대한기생충학열대의학회 2016 The Korean Journal of Parasitology Vol.54 No.5

Synthesis and Characterization of a New Amino Chitosan Derivative for Facilitated Transport of CO2 Through Thin Film Composite Membranes

Farzad Seidi,Shahab Saedi,Shadi Haghdust,Xu Xiang 한국고분자학회 2016 Macromolecular Research Vol.24 No.1

Industrial polymeric membranes suffer from low CO2 permeability as well as low gas pair selectivity. The presence of a suitable carrier in polymer matrix that can react reversibly with CO2 can enhance the CO2 permeability and CO2-selective properties of polymeric membranes. The abundant amino groups of chitosan make it a good candidate for a CO2 carrier. In this research, a new water-soluble amino derivative of chitosan was synthesized and characterized using FTIR, 1H NMR, and elemntal analysis. The synthesised chitosan derivative was blended with polyvinyl alchol and used to prepare thin film composite (TFC) membranes for facilitated transport of CO2 from a CO2/CH4 gas mixture. The effect of feed pressure, feed temperature and chitosan derivative content on the CO2 permeance, CH4 permeance and the CO2/CH4 selectivtiy of the prepared membranes were investigated. The new TFC membranes possessed acceptable CO2 permeance and CO2/CH4 selectivity.

Scolicidal Effects of Black Cumin Seed (Nigella sativa) Essential Oil on Hydatid Cysts

Hossein Mahmoudvand,Ebrahim Saedi Dezaki,Farnaz Kheirandish,Behrouz Ezatpour,Sareh Jahanbakhsh,Majid Fasihi Harandi 대한기생충학열대의학회 2014 The Korean Journal of Parasitology Vol.52 No.6

Privacy-Preserving in the Context of Data Mining and Deep Learning

Altalhi, Amjaad,AL-Saedi, Maram,Alsuwat, Hatim,Alsuwat, Emad International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.6

Machine-learning systems have proven their worth in various industries, including healthcare and banking, by assisting in the extraction of valuable inferences. Information in these crucial sectors is traditionally stored in databases distributed across multiple environments, making accessing and extracting data from them a tough job. To this issue, we must add that these data sources contain sensitive information, implying that the data cannot be shared outside of the head. Using cryptographic techniques, Privacy-Preserving Machine Learning (PPML) helps solve this challenge, enabling information discovery while maintaining data privacy. In this paper, we talk about how to keep your data mining private. Because Data mining has a wide variety of uses, including business intelligence, medical diagnostic systems, image processing, web search, and scientific discoveries, and we discuss privacy-preserving in deep learning because deep learning (DL) exhibits exceptional exactitude in picture detection, Speech recognition, and natural language processing recognition as when compared to other fields of machine learning so that it detects the existence of any error that may occur to the data or access to systems and add data by unauthorized persons.

Plastic Analysis of Braced Frames by Application of Metaheuristic Optimization Algorithms

Soheil Palizi,Amir Saedi Daryan 한국강구조학회 2020 International Journal of Steel Structures Vol.20 No.4

The plastic analysis of moment frames by the combination of elementary mechanisms is one of the classic problems in the fi eld of nonlinear analysis of structures. This method, based on the principles of the upper-bound theorem, has so far been used in much research. The application of optimization algorithms in structural engineering resulted in the use of this method for high-rise structures and determination of the collapse load factor along with the critical failure mode. The most important feature of this method is the simplicity of application without the need for complex analysis or software. Nevertheless, the only disadvantage is its exclusivity for moment frames. In this study, with the help of the existing principles for moment frames, the method is developed for braced frames. To this end, various optimization algorithms have been used to examine the convergence rate and compare them with each other. In this research, the genetic, modifi ed dolphin echolocation, grey wolf, and whale algorithms are used to optimize the proposed method. By comparing the results for three samples, the genetic and modifi ed dolphin echolocation optimization algorithms provided far more accurate results. Although, there is a little error in the grey wolf algorithm and much more in the whale algorithm.