Background & Aims: Chomsky (1981)'s theory of governance and referentiality, which distinguished between superstructure and deep construction, was considered as a candidate for describing Syntactic disorders in grammatical aphasia speech. Depth is a surface that contains the lexical features of sentence structures and thetaic relations between these structures. The structure is derived from the depth of motion by kinematic moments. Role nuclei and their projections are of special importance in derivation. Match markers are time and state that are associated with lexical constructs such as verbs and nouns. Role structures such as complement and auxiliary verbs are produced in their original position, the role nuclei. Role nuclei and their identifiers are the landing sites of structures. Which have moved from their position in the depths of construction. Many studies have shown that the omission and replacement of mere adjectives is one of the main signs of grammatical production speech. Linguistic disorders caused by brain damage are categorized as generalized aphasia. Patients with disabilities have different language abilities depending on which area of their brain is damaged. Damage to the broca area usually leads to a disorder that has several symptoms, the first and most obvious of which is poor production. The second characteristic of Broca's aphasia is the regular omission and substitution of sounds, which is called relative phonological aphasia (also called motor aphasia). The third characteristic of Broca's aphasia is a defect in the ability to construct morphological and Syntactic patterns. The most common of these symptoms is the loss of most sub-categories, such as prepositions and adjectives, as well as adjectives. Broca's aphasia is also associated with deficiencies in Syntactic knowledge. Although patients seem to understand language well as long as they can rely on their knowledge of word meaning and pragmatics, they do not seem to be able to. Use Syntactic knowledge in interpreting sentences. As mentioned earlier, this language center not only controls production but also plays a vital role in word formation and sentence construction. The Broca area seems to deal mainly with the structural and organizational aspects of language and is therefore responsible for the production rules governing the creation of sound patterns as well as the morphological and Syntactic rules governing the construction of words and groups. Research shows that language is a complex cognitive skill that plays a vital role in human cognition, so it is directly related to other cognitive skills and should not be evaluated alone. In patients with aphasia, disorders in cognitive skills such as attention, memory. they cause disorders in language functions and if left untreated, they can delay the healing process of language disorders. Injury or disorder in the Broca area of the left hemisphere of the brain leads to different levels of speech disorders. The present study focuses on the domain of Inflection,tense and agreement in verbs produced by Persian agrammatic aphasics. Two main objectives are considered in this research. 1. Is the construction of a morphological structure preserved in the speech of grammar? 2-Are the grammatical errors produced in the speech of Boka people (grammars) as a result of a disorder (a disorder) the selection of role categories in the linguistic productions of Persian grammatical individuals by observing the behavior and performance of the verb definition? Methods: The present study is a field, descriptive and analytical research. First, the researcher prepared a list of Broca aphasia patients to collect the desired data and referred to Neyriz Martyrs Hospital and with the help and assistance of a neurologist, reviewed the patients' medical records and CT scans. He has been performing his tests on the site of the brain lesion for 6 months. However, during these tests, he also faced some problems, including the fact that the number of sick men was higher than that of women. Sometimes patients died during treatment or suffered other serious injuries. Due to the medications they were taking and the special care taken to treat these patients, it was not possible to interview the researcher at any time,Therefore, sometimes the tests were performed in several stages and in a short time. In this research, data analysis is presented in the form of tables and graphs. This study was performed on 6 patients who were referred to Shohada Hospital in Neyriz, Fars province in 2019. The subjects were 35-80 years old, with at least elementary education, monolingual, Persian-speaking and right-handed. Data collected by Persian Aphasia Tests. This issue is analyzed in the theoretical framework of generative grammar, Pollock’, s (1989) Split INFL Hypothesis, Friedmann and Grodzinsky’, s (1997) tree pruning Hypothesis and also Chomsky's Minimalist Program (1992). Results: The findings suggest that Friedmann and Grodzinsky’, s Syntactic tree pruning hypothesis (1997) does not have the explanatory adequacy to describe this disorder. Moreover, Persian agrammatic aphasics omit verb inflectional markers while showing no tendency to substitute morphemes. Observation of verb conjugation errors shows that 6 subjects tend to omit the current time and match markers. Cognitive studies have shown that the specific characteristics of each language determine the patterns of elimination and substitution observed in brain-injured patients. Since Persian is also an analytical language and usually by removing a grammatical word, the root of the word can be alone. It is conceivable as a word, so the removal of restricted monosyllables is conceivable and the replacement of one monosyllabic with another is not expected. According to the statistical data of Table 7, substitution errors rarely occur in the speech of prescriptive patients and include only 12% of misstatement errors, while 88% of errors are omission of morphologies. In short it can be stated that the result C. The present tense in Table 7 is a testament to the fact that prescriptive patients follow the rules of well-constructed vocabulary in their language. Conclusion: In general, patients with Persian dyslexia suffer from speech disorders in various dimensions, which indicates that a cognitive-linguistic method should be developed to improve their speech abilities. The findings of the research can be discussed from different axes. According to the findings of the analysis of the data produced by patients with grammatical dysfunction, grammatical insufficiency was observed in their speech. By reviewing and analyzing the data, we found that adjective morphemes have limited application time and correspondence in their speech, and this finding is consistent with the results of research on the limited use of these morphemes. This study claims that the origin of this disorder Production is associated with limitations of processing capacity. That is, it activates slowly and slowly affects its lexical units. Therefore, it is better to look at grammatical disease as a computational disorder than a conceptual disorder. They face problems. Due to lack of access to Syntactic knowledge, patients resort to adaptation as a strategy, thus eliminating the vocabulary units that had a problem processing. In fact, patients call aphasia a processing disorder, ie their ability to link information. Syntactically and affect morphology. Therefore, a cognitive-linguistic method should be used to assess linguistic abilities in grammars.

Classification is one of the most important tasks in data mining and machine learning; and the decision tree, as one of the most widely used classification algorithms, has the advantage of simplicity and the ability to interpret results more easily. But when dealing with huge amounts of data, the obtained decision tree would grow in size and complexity, and therefore require excessive running time. Almost all of the tree-construction algorithms need to store all or part of the training data set; but those algorithms which do not face memory shortages because of selecting a subset of data, can save the extra time for data selection. In order to select the best feature to create a branch in the tree, a lot of calculations are required. In this paper we presents an incremental scalable approach based on fast partitioning and pruning; The proposed algorithm builds the decision tree via using the entire training data set but it doesn't require to store the whole data in the main memory. The pre-pruning method has also been used to reduce the complexity of the tree. The experimental results on the UCI data set show that the proposed algorithm, in addition to preserving the competitive accuracy and construction time, could conquer the mentioned disadvantages of former methods.

In recent years, the general policy of the country has been based on the decision to stop the exploitation of wood from the north industrial forests. While the population is increasing, the demand for wood is increasing. Therefore, it’s necessary to find alternative sources to supply raw materials for the wood industry. In Iran, every year, a lot of wood waste is burned and wasted due to a lack of development and promotion of appropriate exploitation methods. In present study has been investigated the exploitation and optimal allocation of wood residues from pruning apple trees as raw material for the particleboard industry. Exploitation was carried out in apple orchards of Damavand city with a chipper and transported to factories by truck. Evaluations of the work process and the productivity and cost have been done with continuous timing method and optimal allocation have been made with the linear programming model by transportation method and simplex algorithm. The results showed that the longest recovery time of residues is related to the collection and transfer to the depot and chipping them, respectively and the production of residues is 1. 97 tons per hectare and the production of chips is 0. 160 tons per hour. Also, the optimal allocation of 400, 000 tons of resources from the exploitation of pruning residues of apple trees with a minimum cost of transportation (950 billion rials), while solving the problem of waste disposal and reducing environmental pollution will bring an annual profit of about 450 billion rials for the country and will be compensated part of the shortage of raw materials for the particleboard industry.

The objective of this study was to investigate utilization of pomegranate pruning residues as the core layer of the three layer particleboard. The percentage of the pomegranate residues varied as 100, 65 and 35% in the core layer of the eucalypt particleboard and three resin levels of 8, 10 and 12 % (based on the weight of the wood particles) were applied in the core layer. Resin dosage in the surface layer was kept at 12%. The strength and physical properties were measured and analyzed applying factorial model based on completely randomized design. The results revealed that if 65% pomegranate residues are used in the core layer, the modulus of rupture and modulus of elasticity were the highest and the combined effect of both variables on the properties were statistically significant. The highest value of the modulus of rupture and modulus of elasticity obtained in the case of 10% resin in the core layer and 100% pomegranate residues followed by 8% resin in the core layer and 65% pomegranate residues. The combined effect of both variables on internal bonding of the boards was statistically significant and the highest internal bonding was reached if 8% resin and 65% pomegranate residues were used in the core layer. The effect of resin dosage on thickness swelling after 24 hours immersion in water was statistically significant. The results indicated that pomegranate tree pruning could be used for the particleboard manufacturing.

The decision tree is one of the most important algorithms in the classification which offers a comprehensible model of data. In building a tree we may encounter a memory limitation. The present study aimed to implement an incremental scalable approach based on fast splitting and present pruning to construct the decision tree on a large dataset as the complexity of the tree decreases. The proposed algorithm constructs the decision tree without storing the entire dataset in the primary memory by using a minimum number of parameters. Furthermore, the J-max Pre pruning method was used to reduce the complexity with acceptable results. Experimental results show that this approach can create a balance between the accuracy and complexity of the tree and overcome the difficulties of the complexity of the tree. In spite of the appropriate accuracy and time, the proposed algorithm could produce a decision tree with less complexity on the large dataset.

In this research, the effect of grape tree pruning fibers in combination with wood fibers used in MDF production on contact angle (wettability) and surface bond strength of medium density fiberboard was studied. One layer laboratory panels with the thickness of 15 mm and density of 650 Kg/cm3 were produced. Variable factors were grape tree pruning fibers content in three levels of 0: 100, 30: 70 and 60: 40 by weight and press time in three levels of 4, 5 and 6 minutes. The wettability and surface bond strength of panels were measured. Results showed that the contact angle of the boards was reduced when the grape tree pruning fibers content increased up to 60% and press time up to 6 minutes. In addition, the results indicated that the surface bond strength of panels were reduced with adding grape tree pruning fibers up to 30% whereas the panels produced using 60% grape tree pruning fibers showed stronger bond. Press time did not significantly influence the surface bond strength of panels.