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The objective of this study was to investigate dehydration kinetics of barberry (Berberis vulgaris L.) at different drying temperatures (60 ºC, 70 ºC, 80 ºC), air velocities (0.3 m s-1, 0.5 m s-1, 1 m s-1) with two types of pretreatment. Drying time and colour quality during dehydration were experimentally determined. Barberries were dried from the initial moisture content of 73.44% (w.b.) to the required moisture content of 18% (w.b.). Dehydration kinetics was monitored by measuring barberries weights at regular intervals. Convective drying curves were obtained for the treated and untreated barberries. The effect of two dipping pretreatments on drying kinetics of barberries was also studied. The two pretreatments were thermal shocking by immersing barberries in hot water, followed by cold water cooling, and dipping in olive oil and food grade K2CO3. Colour of the dried product was altered significantly during drying. The results indicated that the use of low temperatures is adequate for preserving this property. The air temperature significantly affected drying time and hunter colour indices of barberries (P< 0.05). With heat shocking and treatment with olive oil and K2CO3, drying time was reduced to about 40% and 60%, respectively. The total colour change (ΔE) and hue angle (H) increased with temperature. Moisture transfer from the test samples was described by applying the Fick’s diffusion model for calculating the effective diffusivity. The effective moisture diffusivity (Deff) of barberry increased as the drying air temperature increased. The Deff values were higher for the treated samples than the untreated ones. These values were also higher for the samples treated with olive oil and K2 CO3 emulsion than those treated with hot water. The effective diffusivity of the untreated and the pre-treated varied between 2.57×10-13 and 9.67×10-12 m2 s-1, respectively. Higher colour change was observed in barberries treated with olive oil and K2CO3 emulsion. Statistical analysis showed that temperature and pretreatment had the most significant effect on drying time at p<0.01.

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This study is conducted through a descriptive classification of interrogating defendants' spoken and written discourse in courts' conversations which has been designed based on ex post facto research. Research sample included 20 cases of criminal files gathered through available sampling method from the Archived Journals of Justice. McMenamin's (2002) Hierarchy Framework of Recognition Authenticity was used to examine stylistic and syntactic markers of defendants' spoken and written discourse. Stylistic and linguistic markers make a hierarchical model that is ranging from 1 to 9 levels. This model analyzed phonological, morphological, semantic, and syntactic clues that are unique among the defendants in the court files. The patterns concerned with that hierarchical model are resemblance, consistency, and population which are recruited to discover the criminals' spoken and written documents. The implications of this study showed that the use of this framework was successful in uncovering the criminals' identification for resemblance (50 percent), consistency (30 percent), and population (20 percent). Implications of the study suggest this framework may help the interrogators, judges, and attorneys to boost the efficacy of their profession.

1. Introduction
Forensic linguistics is an interdisciplinary field that deals with the scientific study of language in legal sciences. For reaching growth and dynamics, this discipline which is one of the sub-branches of applied linguistics needs the basics of theoretical linguistics in legal affairs. One of the main problems in the preparation of case documents is the analysis of the writing/speaking styles and structures of the defendants and proving their written and spoken authorship and identity in situations where it is difficult to verify and the suspects deny their handwriting or the recorded speech. In this case, forensic linguistics can help to check and prove the identity of the authors or speakers by comparing their previous and current speech and writing and using structural and stylistic markers. McMenamin (2002) proposed a hierarchical approach, which has three methods including resemblance, population, and consistency, and also several structural and stylistic discourse markers. Structural markers include grammar, use of vocabulary, the spelling of words, type of sentences, writing style (formal-informal), and so on. Phonetic markers include tone of voice, stress, repetition of words, accent, dialect, abbreviations, speaking style (formal-informal), silence, pause, ambiguity, etc. This research aims to reveal the effectiveness or ineffectiveness of the forensic linguistics approach in the classification of interrogating diagnoses through the analysis of structural and stylistic discourse markers in the speech and writing of suspects.
The research questions address McMenamin's approach to the article which is examining the documents and identifying defendants' written and spoken identities as follows:
1. To what extent does McMenamin's (2002) approach to identifying a hierarchy of defendants' written and spoken authenticity help in the recognition of the written and spoken authorship in courts?
2. What are the differences between the effect of resemblance, population, and consistency methods of identifying hierarchy on defendants' written and spoken authenticity recognition?
2. Background
In this article, descriptive analysis has been used to determine defendants' written and spoken authorship in forensic linguistics based on McMenamin's (2002) stylistic and structural approach. McMenamin listed three characteristics of stylistic-structural markers in language. The first one is the standard language or norm-referenced which is prescriptive. It means what the linguistic structures should be as standard norms. The second one is the change from the standard norms; however, the utterance is understandable. In other words, there is a change in the grammatical structure. The third one addresses the deviation from the standard norms and the utterance is rarely used in society or it belongs to a specific group or individuals.
Several scholars have used interrogations in legal courts and their relationship with language variations of speech/writing patterns of the defendants (Asiai & Noorbakhsh, 2014; Razovian & Jalili Doab, 2016; Najafi & Haghbin, 2019; Monsefi, 2012). Ainsworth (1993) examined the analysis of legal cases with linguistic descriptions and proposed the description of the language used by interrogators, suspects, and witnesses in the interrogation processes from the perspective of forensic linguistic domains. He has examined the way of language control and mentioned several points worthy of attention in this regard.
McMenamin (2002) focuses on the structures and styles of court discourse and classifies them into spoken and written discourse. Each discourse type includes variations of styles (speech/writing style) and structures (speech/writing grammar). These two are connected and form a continuum. McMenamin's hierarchical approach can be used to identify the markers that determine the defendants' spoken/written identity. In this approach, step-by-step determining the similarity or dissimilarity of the writings or statements of the suspect is matched with the writings or statements in their written or spoken records. This hierarchy starts from levels 1 to 3 (non-matching and definite identification) the person is removed from the list of suspects. This investigation continues from level 4 onwards until 9 (matching writing or speech and determining the identity of the accused). In this approach, intermediate levels (4 and 5) lead to information that the identification of suspected authors or speakers is done with 50% certainty and requires further investigation. Therefore, spoken/written documentation in the higher ranks leads to the identification of the identity of the suspect with almost certainty.
Innovation of the present study can be regarded as the gap in the research literature concerned with the lack of forensic research in identifying the authorship of the defendants with a scientific approach. Therefore, the present research has evaluated methods of resemblance, consistency, and population in identifying defendants via McMenamin's (2002) hierarchical identification approach. In these methods, the handwriting or audio files are matched with the previous records produced by suspects; and their degree of similarity or difference is checked from levels 1 to 9. Each level shows the degree of proximity of the suspect to determine the point of certainty.

3. Methodology
The current study examined twenty criminal cases such as signature forgery, text message/letter forgery, fake suicide letters, threatening text messages/letters, threatening audio/telephone files, or telephone harassment. The pool of data was gathered in the form of available samples from the archives of the Legal Journal of Justice between the years 2016 and 2021. These incidents happened in different provinces of Iran. To achieve a correct analysis of the writing style, all stylistic markers are identified in these texts. Then, the identification of the written and spoken identity of the defendants was investigated and analyzed based on McMenamin's (2002) framework with three analytical models of resemblance, population, and consistency.
The research method was a descriptive-analytical type, which analyzed the records of the cases in the past. Then, the identification of the written and spoken markers was analyzed based on McMenamin's (2002) approach with three analytical models' resemblance, consistency, and population.

4. Results and Conclusion
The results of the research showed that 80% of the investigated cases (i.e., 16 cases out of 20) carried out the principles of identity recognition based on McMenamin (2002). The framework was successful in recognizing the identity of the defendants. Moreover, findings showed that the use of this framework uncovered the criminals' identification for resemblance (50 percent), consistency (30 percent), and population (20 percent). Implications of the study suggest this framework is a help for interrogators, judges, and attorneys to boost the efficacy of their profession.
The investigation of the classification of verbal and written recognition of criminals showed that court experts or linguists were able to identify the spoken/written identity of criminals with high certainty. In McMenamin's hierarchical method, the similarity method took the highest percentage, because this method is one of the simplest methods to discover the comparison of phonetic and written markers. In the 20 investigated cases, there were more signature and text message forgery cases than the rest of the crimes
 

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Solar radiation data play an important role in solar energy relevant researches. These data are not available for some locations due to the absence of the meteorological stations. Therefore, solar radiation data have to be predicted by using solar radiation estimation models. This study presents an integrated Artificial Neural Network (ANN) approach for estimating solar radiation potential over Iran based on geographical and meteorological data. For this aim, the measured data of 31 stations spread over Iran were used to train Multi-Layer Perceptron (MLP) neural networks with different input variables, and solar radiation was the output. The accuracy of the models was evaluated using the statistical indicators of Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), and Correlation Coefficient (R); hence, the best model in each category was identified. The Stepwise Multi NonLinear Regression (MNLR) method was used to determine the most suitable input variables. The results obtained from the ANN models were compared with the measured data. The MAPE and RMSE were found to be 2.98% and 0.0224, respectively. The obtained R value was about 99.85% for the testing data set. The results testify to the generalization capability of the ANN model and its excellent ability to predict solar radiation in Iran.

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In this study, the effect of the free extract, nanoliposome, and nanoniosome containing myrtle extract and sodium benzoate as a preservative on microbial, sensory, and chemical properties of mayonnaise during 90 days at 4 °C was investigated at 15 days intervals. The results of chemical tests showed that mayonnaise samples containing nanoliposome and nanoniosome significantly (p < 0.05) reduced peroxide, thiobarbituric acid compared to the control samples. There was a significant difference between the pH of the sauce samples prepared on the first day so that the highest pH (4.2) was related to the sauce sample containing sodium benzoate. The acidity values of all samples were in the standard range (0.62 to 1.4). Microbial results showed that the counts of Escherichia coli and heterofermentative lactobacilli were negative for all treatments and following the standard. During the storage time, the microbial growth of the sauce containing the natural preservative, nanoliposome, and nanoniosome, was effective in controlling mold and yeast and acid-resistant bacteria compared to the control sample (p <0.05). The results of sensory evaluation in this study showed that mayonnaise samples were significantly different in sensory properties during storage time so that the sauce containing free extract had a lower color score. Also, the lowest brightness index (L* = 74.31 ± 1.03) was related to the sauce containing the free extract. Sauce samples containing nanoniosome and nanoliposome had the highest acceptable spreadable property. The results of this study showed that using nanoniosome and nanoliposome containing the myrtle extract can reduce the use of the chemical additive sodium benzoate and this is a step in improving the health of the consumer community.

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Milk chocolate is one of the most popular and enjoyable foods, and it has many fans of all ages. The purpose of this research is to replace the gelatin extracted from chicken feet with commercial (bovine) gelatin in different concentrations (0, 3, 5 and 7 percent) with cocoa butter to reach a high melting point with the aim of preventing chocolate from melting at high temperatures in tropical regions. The physicochemical and sensory properties of milk chocolate were investigated, and the obtained results showed that the density of the samples increased with an increase in the concentration of gelatin. The hardness of chocolate samples decreased by increasing the concentration of chicken Feet gelatin and increasing the concentration of commercial gelatin, so that the highest level of hardness among the sample’s containing gelatin was related to the sample containing 3% commercial gelatin (5936.3) and the lowest one was related to the sample containing 7% chicken Feet gelatin (5342.5). Also, by examining the surface roughness of the treatments, the highest roughness is related to the control sample. The apparent viscosity of treatments increased by increasing the concentration of chicken feet gelatin and commercial gelatin. The melting point of the samples increased independently with the addition of chicken feet gelatin and commercial gelatin. By increasing the level of chicken feet gelatin and commercial gelatin, the aqueous activity of the treatments decreased independently. In terms of color parameters (L, a, b), the treatments were investigated, and the sample containing 7% chicken feet gelatin had the highest amount of brightness. From the sensory point of view, the parameters of color, taste, smell, texture and finally the overall acceptance of chocolates were investigated. In terms of parameters, a significant difference between the samples was observed, and all the samples had the required acceptance.