Pyramiding genes related to grain quality and resistance through marker assisted selection (MAS) is an important approach in rice breeding programs. Marker-assisted selection can be used for monitoring the presence or absence of these genes in breeding populations and can be combined with conventional breeding approaches. This study is a part of cultivar development program in Iran through integration of conventional breeding with marker assisted selection. Crosses between two high yielding transgenic lines carrying an insect resistance gene (cry1Ab, from Bacillus thuringiensis) with a local aromatic variety were made followed by selection for incorporation of insect resistance and aroma (FGR) genes in desirable single F2 plants. Finally, plants homozygous for aroma and carryingcry1Ab genes with good agronomic performance were identified. Further analyses are underway on these plants in F3 generation. These plants promise to develop new aromatic Bt rice lines through integration of classical and molecular breeding in the near future in Iran.

The object of this study is to investigate experimentally the effects of Flue Gas Recirculation technique on exhaust gases temperature and also the NOx levels of gasoil and biodiesel (made of sunflower oil) combustion. The tests were carried out for different levels of FGR ranged from 0 to 30% and for three inlet air flow rates i.e.: 3.5, 4.5 and 5.5 m3.min-1. Experimental results indicate that in the case of oil and B20 and B40 fuels, increasing the rate of recirculated gases up to 30% decreases maximum flame temperature and NOx emission. Moreover in the case of biodiesel fuels, increasing the volume percent of biodiesel fuel in the mixed fuel from 0% to 40%, increases exhaust gases temperature and NOx emission. Comparison among the obtained results and similar experiments of other researchers, indicates a great qualitative compliance.

IUGR is a major causes and silent illness and death in the embryonic and infants population, which in it infants growth potential is less than natural state. IUGR phrase and small for gestation age often used interchangeably. Although, there is small difference between these two.IUGR/SGA as a result different etiology including maternal factors, placenta and fetus arise. That recently genetic factors added to it. IUGR may be caused by maternal smoking, infections agents and chromosomal or genetic abnormalities, maternal abnormalities, but in most cases secondary cause is placenta insufficiency. IUGR often causes complications in the third trimester of pregnancy which is associated with symptoms of preeclampsia.The pathophysiology of IUGR is associated with placenta insufficiency. It remains unclear, but the damage is usually caused due to failure of trophoblast invasion which causes intermittent blood flow the space between the intervillous that this also in turn causes local oxidative stress.

Background: Cortical folding during fetal brain development reflects neural maturation. Fetal growth restriction (FGR) may disrupt this process, potentially affecting neurodevelopmental outcomes. Although ultrasound enables noninvasive sulcal assessment, so normative data and objective tools are lacking. The purpose of the current study was to assess the impact of FGR on fetal cortical development using neurosonography and establish a third-trimester nomogram for cortical maturation. Methods: This prospective study included 425 singleton pregnancies (330 appropriate-for-gestational-age [AGA], 54 symmetrical FGR, and 41 asymmetrical FGR) at 28–36 weeks. Conducted at a Tehran tertiary center (2023–2024), the study included cases with normal anatomy and negative aneuploidy screening. Neurosonographic parameters including Sylvian fissure (SF), insula, parieto-occipital fissure (POF), cavum septum pellucidum (CSP) width, and ventricular diameter were measured and the ratios calculated relative to biparietal diameter (BPD). ANOVA and post-hoc tests were applied and statistical significance was set at p<0. 05. Results: No significant differences in neurosonographic ratios (e. g., SF/Insula, POF/ BPD, CSPW/BPD) were found between AGA and FGR groups. However, unadjusted SF and insular depths were reduced in symmetrical FGR fetuses with head circumference (HC) <10th percentile. Asymmetrical FGR showed no differences. A gestational-age-based nomogram was developed for AGA fetuses. Conclusion: While absolute sulcal measurements vary with head size in FGR, biometric adjustments (e. g., BPD ratios) improve cortical maturation assessment. The study supports ratio-based neurosonography and provides normative data for objective fetal brain evaluation.

Background: Melanoma is an aggressive tumor caused by melanocytes characterized by a poor prognosis at the stage of metastasis. Therefore, it is crucial to identify biomarkers for progression and prognosis for the treatment of melanoma. Objectives: The study aimed to identify the specific genes related to the prognosis of melanoma utilizing bioinformatics analyses. Methods: Differentially expressed genes (DEGs) between melanoma tissues and normal tissues were screened from the GSE 3, 189 gene expression profile of Gene Expression Omnibus (GEO). A co-expression network was constructed by weighted correlation network analysis (WGCNA). Functional enrichment analysis for DEGs was performed. The risk prognostic model and nomogram predictive model were established utilizing the least absolute shrinkage and selection operator (LASSO) and Cox regression analysis. Results: Using the differential expression analysis and WGCNA, 1, 408 DEGs were screened between melanoma tissues and normal tissues. Functional enrichment analysis proved that these genes primarily participated in the cell cycle and mitotic phase regulation in cancer. In addition, 17 optimal DEGs were identified for constructing the risk score prognostic model. Cox regression analysis further revealed that ectonucleotide pyrophosphatase/phosphodiesterase 4 (ENPP4) and FGR proto-oncogene, Src family tyrosine kinase (FGR) were the key genes significantly associated with survival. A nomogram prediction model was established for individual survival probability by integrating pathological T/N/M stage, age, ENPP4, and FGR. High FGR or ENPP4 expression indicated a better prognosis in melanoma patients. Conclusion: This study identified FGR and ENPP4 as potentially useful prognostic biomarkers for melanoma. The corresponding risk score prognostic model and nomogram may be a reliable tool for predicting the prognosis of melanoma patients.

Background: The purpose of this research was to determine the predictability of low values of “Pregnancy Associated Plasma Protein A” (PAPP A) in the first trimester of pregnancy in biometric indicators, as well as the resistance and pulsatility Indices of the umbilical arteries, fetal middle brain, and uterine arteries in Doppler ultrasound in the third trimester of pregnancy. Methods: In a cohort study during 2020-2022, a number of 120 pregnant women who had PAPP A ≤ 0.4 in the first trimester of pregnancy were included in the study and then underwent biometric sonography assessment at the 28th to 32nd week of pregnancy. Also, Doppler sonography was performed simultaneously. The study measured the relationship between clinical signs, Doppler sonographic indices, biometry, and PAPP A ≥ 0.4 and the potential to predict these indicators in the occurrence of fetuses with growth restriction. Findings: No statistically significant relationship between PAPP A≤0.4 and SGA and FGR was observed. However, components such as the S/D Ratio and AC revealed a predictive role in the occurrence of SGA, and components such as pregnancy age, AC, and HC showed a significant predictive role in the occurrence of FGR. Conclusion: In pregnant women with PAPP A values ≤0.4 in the first trimester, the occurrence of SGA can be predicted based on the following components: fetal abdominal circumference and systolic to diastolic ratio. Factors such as gestational age, fetal abdominal circumference, and fetal head circumference significantly played a role in predicting the occurrence of FGR.