---

Grammarly software is one of the most popular software for automatic recognition of grammatical errors in texts translated from Persian to English. The study aims to evaluate the efficiency of Grammarly and propose some suggestions for upgrading the software. To achieve this, a corpus including the English translation of the booklets introducing the works of Resistance-literature was studied. After the grammatical errors were extracted by the researchers (human evaluator), the electronic file of the booklets was provided to the software to detect the errors by Grammarly. Grammatical errors were then categorized and the extracted data were matched by researchers and software. After the qualitative and quantitative analysis of errors and the presentation of the findings, suggestions were made to improve the efficiency of Grammarly. According to the findings, out of 98 cases being specified by Grammarly as errors, 16 of them were not actually errors. In 4 cases (4.9%) Grammarly failed to accurately identify the "type" of error. The weakest grammatical performance of the software occurred in the misdiagnosis of ‘word spelling’ and ‘misuse of masculine and feminine pronouns’. Regarding the efficiency of Grammarly, it was found that the software has an excellent performance with a diagnosis of 82.8% of errors.
 

---

Background:Accumulative research is in progress to clarify clinical aspects of GBV-C. The possibility of interaction between HCV and GBV-C as well as its consequence on development of liver diseases is the most important clinical aspect which encourages researchers to develop a rapid and cost effective technique for simultaneous detection of both viruses. Methods: In this study, a SYBR Green real time multiplex RT-PCR technique as a new economical and sensitive method was designed and validated for simultaneous detection of HCV/GBV-C in HCV positive plasma samples. SYBR green real time RT-PCR technique optimization was performed separately for each virus. Multiplex PCR was established next. Standard sera with known concentrations of HCV RNA and dual HCV/GBV-C positive control samples along with negative control samples were used to validate the assay. Results and Conclusions:  Fifty six non cirrhotic HCV positive plasma samples [29 of genotype 3a and 27 of genotype 1a] were collected from patients before receiving treatment. 20.6% of genotype 3a and 18.7% of genotype 1a showed HCV/GBV-C co-infection. As a result, 19.6% of 56 samples had HCV/GBV-C co-infection that was compatible with other results from all over the world. SYBR Green real time multiplex RT-PCR technique can be used to detect HCV/GBV-C co-infection in plasma samples. Furthermore, with application of this method more time and cost could be saved in clinical-research settings.

---

Variable rate spray applications using proportional control systems can greatly reduce pesticide use and off-target contamination of environment in orchards. Variable rate spraying of the canopy allows growers to apply pesticides only to the target, only use the correct quantity according to canopy size, season and growth stage and to apply plant protection products in an economic and environmentally sound manner. A major challenge is the reduction of agrochemicals used as Plant Protection Products (PPP) while achieving suitable deposition on the canopy. Spraying efficiency can be improved by reducing the spray losses associated with deposition on the ground and off-target drift. Adjustment of application rate proportional to the size and shape of tree crops has shown high potential for reducing agrochemicals in automatically controlled sprayers. In recent years target detection methods have been developed by using advanced techniques such as vision and laser scanning systems or simpler ultrasound, infrared and spectral systems. These systems have made it possible to develop geometric maps of trees allowing site-specific management of orchards. Variable rate spraying can thus be utilized as a methodology for applying the required amount of PPPs to the canopy while preventing over dosage as well as drift. Utilization of sensors to monitor canopy, distances and location ensures better use of expensive inputs, resulting in a sustainable approach to an important practice. This paper discusses various methodologies available for determination of canopy structural parameters and introduces some applicable commercial systems while pointing out their similarities and differences.  

---

In this paper a new algorithm is presented for coherent radar detection of targets, when distribution of the interference (clutter and noise) is non-Gaussian. The Neyman-Pearson criterion is used for optimal detection and several successive received samples from a radar range cell are used for detection in the same cell. On the basis of recent empirical evidences, the interference distribution is described statistically by the correlated pseudo-Gaussian distribution which is also called SIRP. The joint pdf of the pseudo-Gaussian interference distribution is too complicated to lead to the optimum detector (or ALR detector). Therefore, a convenient approximation of its analytical solution is utilized. The obtained AALR detector outperforms the GLR detector. Moreover, the proposed algorithm is similar to the GLR detector. Since, the AALR detector-has been derived from the analytical solution of the ALR detector, its similarity to the GLR algorithm confirms the proper performance of the GLR detector. The performance of the proposed detector is also compared to the OLD and ECD detectors. Computer simulations confirm superiority of the ALR detector to the GLR detector while both are significantly better than the OLD and ECD detectors. The proposed detector completely prefers to the other detectors when the deviation of the interference distribution from Gaussian assumption is considerably high.

---

Home Uterine Activity Monitoring (HUAM) has demonstrated to be of great value for preventing preterm labor in recent years. In this research, a low cost monitoring device for non-invasive monitoring of the uterine activity in pregnant women is presented. The new device has been designed based on an inductive Colpitz oscillator and vertical displacement of a ferrite core in a coil. The resulting frequency of the oscillator is proportional to the pressure in the external surface of the abdomen. This frequency is measured by the portable monitor. A low-power static random access memory (SRAM) provides long-term data storage. The proposed sensor for detecting uterine contractions has light weight, high stability and low cost. This sensor is very simple to manufacture and use for long-term ambulatory monitoring of the uterine activity. Furthermore, this sensor can be calibrated using software. Other features of the sensor are, resolution of 0.13 mmHg, repeatability close to 96% and input range from 0 to 95.32 mmHg.

---

Fusarium oxysporum f. sp. lycopersici (Fol) is the causal agent of vascular wilt in tomato, an important plant disease in Iran. Four monogenic resistance genes in tomato are used for identification of races of Fol and their corresponding avirulence genes Avr1, Avr2 and Avr3 were identified in pathogen one of which, Avr2, is f.sp. specific. Hence they can serve as reliable markers for racial identity and f.sp discrimination. These markers have been used for strains from other countries except Iran. Furthermore, a point mutation in Avr3 can lead to enhanced virulence of Fol on a susceptible tomato cultivar. To identify forma specialis and racial identity, Avr genes were studied in a collection of Iranian strains. Results revealed that PCR assay is very efficient in distinguishing between non-pathogenic and low virulence strains and in the vast majority of strains, avirulence genotype was consistent with Fol race1. Furthermore, to determine whether allelic variation of Avr3 could separate strains of different degrees of virulence, Avr3 wassequenced in Fol strains with high and low virulence. The resultsrevealed that allelicvariation of Avr3 was not correlated with degree of virulence in Iranian strains.
 

---

High processing loads, need for complicated and frequent updating, and high false alarm are some of the challenges in designing anomaly detection and misuse detection systems. We propose a new network-based intrusion detection system (IDS) that resolves such shortcomings. Our scheme fuses anomaly detection and misuse detection systems, which has not been utilized so far in existing systems. In doing so, we have employed a mix of modified back-propagation (BP) and self-organizing map (SOM) neural networks that perform pattern recognition and classification in an effective and efficient manner. Results indicate that the performance of our proposed IDS is significantly improved as compared to the existing systems.

---

Spectroscopy in visible and part of near infrared region was assessed as a non-destructive technique for the detection of plants infected with Potato virus Y (PVY). The aim of our research was to recognize spectral signatures that indicate PVY infected plants. In this assay, we studied spectral reflectance of potato leaves showing different PVY symptoms in cultivars Agria and Milva. Virus titer of leaves that showed different disease symptoms, were estimated using enzyme-linked immune sorbent assay. The means of spectral data obtained from different leaves in each experimental plant were used for spectral analysis. Analyses showed that spectral region in 900-1100nm was markedly sensitive to the PVY infection and could be useful for developing a good spectral signature for detection of the infection. Based on the X loading weights obtained from principal component analysis (PCA), sensitive wavelengths were screened, some wavelengths in this region have most positive or negative loading and based on linear discriminant analysis, they could discriminate infection status with high accuracy. The reflectance variation in this region is related to changes in cell structure and water activity due to viral infection. Results indicate that spectroscopy has a suitable potential to detect virus-infected plants; which could be further developed for more accurate potato field inspection aimed at controlling the spread of viral infection.
 

---

Teaching/learning French nasal vowels are one of the problems encountered by Iranian teachers and students in institutes and universities. The problems arise due to the fact that there are no approximate phonetic analogues for those vowels in Persian. In the present study, the acoustic phonetics is used. It is a method based on acoustic analysis using speech analysis and phonetics software. In recent years, voice analysis software’s have made it possible to identify phonetic errors with precision. The research objective is to identify French nasal vowels errors by Iranian students and analyze inter-phoneme-phonetic data. The population under study consists 8 students of the French language at University of Isfahan during the first semester 2015-16. Student’s oral productions have been analyzed by using analysis software with regard to structural physical parameters of F1, F2 and F3. As the results of the present study demonstrate, students in the production of French nasal vowels (CVn) are in trouble due to the absence of such vowels in the native language. The process of “unpacking nasal vowels” and “nasalizing the oral vowels” are evident due to the impact of native language. Therefore, the frequency of phonetic errors, French nasal vowels, has a meaningful relationship with the French nasal vowels characteristics and phonetic structure of the students’ native language.
 

---

Colorectal cancer (CRC) is one of the most common cancers worldwide. Understanding of the tumor behavior, in a much closer look, at the molecular level, results in a more effective treatment and accurate prognosis of the disease. From among various genes altered in colorectal cancer K-ras is assumed to be of diagnostic and prognostic significance. K-ras mutations are believed to be a critical event in colorectal oncogenesis. Previous studies have demonstrated that 40% (20-50%) of CRCs harbor a mutant allele of K-ras oncogene. The mutations are limited to codons 12, 13, and 61 of the gene, with a great incidence at codon 12. The localization of mutations has given mutated K-ras an advantage of sensitive and simple detection over APC or p53 in which mutations are spread in their whole DNA sequence. To determine the incidence of K-ras mutations in CRC in Iran, compared with other countries, DNA was isolated from a random collection of 55 colorectal carcinoma samples, and codon 12 K-ras mutations were detected by RFLP. K-ras mutations in sporadic colorectal cancer in Iran are relatively frequent, with an incidence of 65%. This may be attributed to variation in methodology and to characteristics of the population studied such as differences in genetic background and variability in environmental factors and epidemiologic parameters such as diet, social lifestyle status, and other parameters that could be specific to the Iranian population. Correlation between the presence of codon 12 mutation and various clincopathological parameters was also investigated. A significant correlation was found with poor tumor differentiation of tumor samples. This places much emphasis on the role of promotion of differentiation as the most prominent effect of Ras.

---

In this paper, in order to detect the number of transmitting antenna in MIMO communication systems, it is proposed that the techniques such as AIC & MDL, which have been primarily designed so as to detect the number of Gaussian sources, are applied. Then a hypothesis testing based method for recognizing the type of modulation in MIMO communication systems with block orthogonal codes is suggested; in which in order to reduce the complexity of the traditional methods, simpler likelihood functions for testing hypotheses are applied. Furthermore, because in all modulation scheme detection methods, a proper estimation of channel gain (channel matrix) is required; in this paper, a new and efficient method based on SAGE iterative algorithm for estimation of channel matrix in MIMO communication system with space-time block codes is proposed. At the end of this paper, the performance and effectiveness of all proposed modules are separately and jointly analyzed by numerical simulations.

---

Land use/cover change map production is one of the basic needs for environmental monitoring and management. Since the change maps are usually used in planning and decision-making, certainty and reliability of these maps can be very important in many applications. Unfortunately in many studies only probability values as obtained from MLC approach have been used for uncertainty estimation. Here a new approach has been developed which is based on the probability information as well as spatial parameters including distance, neighborhood, extent and the type of change. In this study, two Landsat TM images of Isfahan urban area provided in 1990 and 1998 have been co-registered using first order polynomial and nearest neighbor resampling approach. The registered images have been then classified to ten different land use/land cover classes using Maximum Likelihood Classification algorithm. Probabilistic measures generated by the MLC have been used for modeling uncertainty. Using different spatial analysis functions for modeling the change of agricultural areas to residential areas, the relevant spatial parameters have been extracted. Based on logistic regression approach, probabilistic parameters and spatial parameters have been integrated to generate a layer, which shows uncertainty of change of agricultural areas to residential areas. The Relative Operating Characteristics (ROC) index has been used for validation of the model and it has been estimated to be 0.9944, which is an indicative of very good model fitting. As a final conclusion, development of this model is suggested for quantitative evaluation of uncertainty in change detection.

---

The aim of this paper was to study the time detection for the arrival and initiation of Siberian high pressure activities in southern coast of the Caspian Sea. Therefore, the temperature and pressure data were collected from Anzali, Babolsar and Gorgan stations for the September, October, November and December months during the statistical periods of 1971 to 1980. The criteria for Siberian high pressure current were the presence of the ridge system with the isobar line of minimum 1020hp. in southern coasts of Caspian Sea, along with the establishment of a Siberian high pressure core cell in the eastern longitude of 60○ to 120○ and northern latitude of 40○ to 60○ in the region. Whenever the changes in temperature and pressure of stations occurred simultaneously by a penetration of Siberian high pressure ridge on the region , the time had been registered as the arrival time of Siberian high pressure to the southern coasts of Caspian Sea. Accordingly, the second decade of October (third decade of Mehr) was recognized as the initiative stage of Siberian high pressure activities in the region with the highest frequency of 50% during the statistical period.

---

Detection of land use/cover changes in many different studies is one of the basic needs for environmental monitoring and management. Conversion of agricultural lands is one of the main issues related to urban planning. In this study an attempt has been made to study land use/cover changes through image processing techniques. Two landsat TM images of Isfahan area provided in 1990 and 1998 were atmospherically rectified and registered on each other. Images were then classified to ten different land use/cover classes using Bayesian classification algorithm. Training sites were generated using fuzzy logic approach. A post classification comparison approach was then used to create a change map. The results show a dramatic change on agricultural lands in this area during this period.

---

We investigated the presence of Hop stunt viroid (HSVd) in apple samples, showing dappling fruit symptoms, in the Maragheh area (Northwest Iran) by means of RT-PCR. The viroid was detected only in leaves collected from symptomatic trees and a 298bp amplicon (IR-Gala) was directly sequenced in both directions. Multiple sequence alignment and Blast analyzes revealed that IR-Gala isolate shares the highest identity with grapevine isolates from Brazil and China. Amongst Iranian isolates of HSVd available in the GenBank, this isolate had the highest identity with grapevine isolate of HSVd from Maragheh region. In Phylogenetic analysis by MrBayes, IR-Gala was clustered with grapevine isolates from Brazil, China and Iran and may suggest that HSVd-apple isolate could be originated from grapevine.

---

Objectives: Malaria is the most important tropical disease in terms of morbidity and mortality. The diagnosis of malaria can be conveniently subdivided into clinical, parasitological, biochemical, serological and molecular biological detection. The objective of the present work was to compare two techniques, blood smear and PCR-RFLP, for detection of Plasmodium species. Materials & Methods: Totally, 46 positive blood samples of malaria were examined by these two methods. In parasitological detection, direct observation of Plasmodium in Geimsa-stained thick and thin blood smears were carried out. In polymerase chain reaction (PCR) method, the target DNA was a segment of 18S rRNA gene. In RFLP technique three enzymes, Hinf I, Hae III and Tsp45 I, were used. Results: The results indicated that, by direct observation of thin smear, 35 and 11cases were identified as Plasmodium vivax and Plasmodium falciparum respectively. But molecular analysis showed that 2 of 11 cases of Plasmodium falciparum were Plasmodium vivax whereas 3 of 35 cases of Plasmodium vivax were Plasmodium falciparum. Conclusion: In diagnosis of human Plasmodium species, the PCR-RFLP technique was found more appropriate and sensitive than blood smear technique.

---

Objectives: Salmonella typhimurium is important food-borne pathogen responsible for gastroenteritis. In this work a polymerase chain reaction based enzyme linked immunosorbent assay (PCR-ELISA) was developed to identify Salmonella typhimurium. Materials and Methods: The rfb gene which is responsible for biosynthesis of the Salmonella O-antigenic lipopolysaccharide was selected as the target sequence. The selected primers amplified fragment size of 882bp of S. typhimurium. Food samples contaminated with Salmonella typhimurium as well as clinical and standard samples were used in this investigation. The PCR products randomly labeled with Dig-11-dUTP were transformed to a plate coated with streptoavidin and tested with anti digoxigenin. An internal biotin-labeled probe was used to confirm the amplified PCR product. Results: The specificity of the assay toward S.typhimurium samples was confirmed by testing 20 Salmonella and 6 non Salmonella strains. ELISA increased the sensitivity of the conventional PCR method by approximately 1000 fold. Conclusion: The method presented here is a rapid and specific alternative for the traditional time consuming culture methods for the detection of S. typhimurium in food and clinical samples. Due to its high specificity and sensitivity, our method finds its place as an alternative to PCR in large scale screenings, for detection of S. typhimurium.

---

A critical protection requirement for grid connected distributed generators (DG) is anti-islanding protection. In this paper, a new islanding detection method for any possible network loading is proposed based on utilizing and combining various system parameter indices. In order to secure the detection of islanding, eight intentional disturbances are imposed to the system under study in which two sets of them simulate the islanding condition. The proposed technique uses the adaptive notch filters for extracting the frequency of oscillation of generator’s output waveform as one of the output parameter indices. An advantage of this technique is that it does not necessitates varying the islanding detection boundaries under various system loading conditions.

---

In this paper, we propose a novel method for fully automatic detection and tracking of human heads and faces in video sequences. The proposed algorithm consists of two modules: a face detection module and a face tracking module. The Detection module, detects the face region and approximates it with an ellipse at the first frame using a modified version of AdaBoost cascaded classifier. The detection module is capable of considering the 2-D head pose rotation. The tracking module utiliyes a combination of deformable mesh energy minimization and feature matching approaches. In order to track a face, features are extracted in the face region to tessellate the human face with triangular unstructured meshes. For tracking a mesh, it is necessary to define mesh energies including internal and external energies. We have used new energy definitions for both the internal and the external energies which can accurately track rigid and non-rigid motions of a face and facial features at subsequent frames. We tested the proposed method with different video samples like cluttered backgrounds, partial illumination variations, put on glasses, and 2-D and/or 3-D rotating and translating heads. The experimental results showed that the algorithm is rotation insensitive and has high accuracy, stability and also has convergence for face detection and tracking.

---

Aims: Understanding the patterns of land use and land cover (LULC) change is important for efficient environmental restoration. This study focused on changes in LULC patterns of the Koupal watershed in Khouzestan Province over 22 years.
Materials and Methods: Multi temporal satellite imagery of the Landsat series (1998 and 2020) were preprocessed and used to extract LULC maps by bayes discriminant and Maximum likelihood rule. Reliability of classified maps were checked using confusion matrix.Transition matrix and change rate were computed by Change detection analysis.  
Findings: The results of the change detection analysis shows that vegetation cover witness of dramatic decrease and changed from 27.6% to 0.06%, followed by water body reduction from 8.59% to 0.79% and bare land decrease from 57.9% to 51% of whole area. The results indicates a rapid expansion of cropland from 5.44% to 41.25% of total area. Sand dune increased from 1.08% of total area in 1998 to 2.75% in 2020 and build up area shows a growth from0.27% of total area. Change matrix revealed that 93% of cropland remained unchanged, followed by bare land (71%), built up (53%), water body (7%), sand dune (6%) and vegetation (0.05%). This indicates that vegetation experienced the most significant loss and highest conversion during this period, with almost 73% of its total area converted to cropland and bare land (22%) and the rest to other land uses.
Conclusion: These results establish LULC trends in past 22 years and provide crucial data useful for planning and sustainable land use management.