The present discourse deals with "ESSENTIAL SPEECH" and "literal SPEECH" in Mawlawis works and indicates that, in a general view, division of SPEECH and language into literal language and ESSENTIAL language (or SPEECH) and into esoteric logos and logos enjoys a long background. Emphasizing remarkable int1uence of discussions raised in the realm of Ashari theology upon Mawlawis works in two distinct sections, SPEECH in the realm of divinity as well as that of anthropomorphism is analyzed and investigated and then the said principles and ESSENTIALs are compared with Mawlawis opinions.

I have previously argued that human flourishing partly consists in the ability to exercise ESSENTIAL human capacities, many of which are non-distinctive and shared with other animals. The concept of flourishing is itself species-specific. Thus, the development of ESSENTIAL capacities (human and nonhuman) comprises a large part of the goods that we ought to promote. Problems about the definition of ‘ESSENTIAL’ are discussed, as are related issues about whether there are necessary and sufficient conditions for the correct use of sortal universal terms. The relation of the exercise of ESSENTIAL capacities to basic needs is investigated, and the ESSENTIAL nature of the human capacity for meaningful work, which has been disputed by John White, is defended. Finally, some suggestions are offered about what the proponents of the capabilities approach might derive from that of ESSENTIAL capacities.

In traditional SPEECH processing, feature extraction and classification were conducted as separate steps. The advent of deep neural networks has enabled methods that simultaneously model the relationship between acoustic and phonetic characteristics of SPEECH while classifying it directly from the raw waveform. The first convolutional layer in these networks acts as a filter bank. To enhance interpretability and reduce the number of parameters, researchers have explored the use of parametric filters, with the SincNet architecture being a notable advancement. In SincNet's initial convolutional layer, rectangular bandpass filters are learned instead of fully trainable filters. This approach allows for modeling with fewer parameters, thereby improving the network's convergence speed and accuracy. Analyzing the learned filter bank also provides valuable insights into the model's performance. The reduction in parameters, along with increased accuracy and interpretability, has led to the adoption of various parametric filters and deep architectures across diverse SPEECH processing applications. This paper introduces different types of parametric filters and discusses their integration into various deep architectures. Additionally, it examines the specific applications in SPEECH processing where these filters have proven effective.

Among the rules that jurisprudential scholars, jurisprudence, jurists, and scholars of rhetoric have investigated are their lexical roots and customary meanings and cited their opinions in this regard as a reason or preference. Rule: "Foundation Precedes Emphasis" is the one that in the interpretation prefers the new meaning to the repetition and emphasis on the old meaning in explaining the words, and considers the new effect and independent benefit of words better than emphasizing the previous meaning. The current research is descriptive and analytical in order to express the importance, position, capacity and how to use the aforementioned rule in different sciences and examples its comparative use has been shown in the interpretation of the Qur'an, principles of jurisprudence, law and vocabulary. In other words, the necessity of paying attention to the principles of jurisprudence stems from the fact that they are basic principles, a mechanism that helps in achieving the outcome of the work of the mujtahid and his aim in ijtihad what he strives for. The study leads to results, including this rule which is one of the branches of “the implementation of SPEECH takes precedence over its neglect,” and that it aims to preserve SPEECH from being abolished. It does not deal with the cases, in which, it is necessary to confirm or establish because of evidence where there is no justification for opposition or recommendation.

Juniper is the most important native conifer in Iran. Juniper as one of the most resistant tree species to extreme conditions, frost (up to -40°C) and drought, plays important role in mountainous regions of Iran. In this study, by investigation on qualitative and quantitative characteristics of ESSENTIAL oils ofleaves and berries (female cones), the effects of environmental factors were studied on metabolism of secondary products. The volatitale constituents of the Leaves and berries of male, female and male-female trees isolated by steam-distillation were analyzed by GC-MS.Results indicated that the amount of ESSENTIAL oil in berries is higher than that in leaves. Seasonal alteration of ESSENTIAL oil of berries differs from leaves. The ESSENTIAL oil of berries increase during growth period, however decreased in leaves. Besides drying has increasing effect on ESSENTIAL oil. In total 32 terpenoidic components were found that a-pinene, limonene, trans-verbenol, cisverbenol, verbenone, g- elemone and elemol were the important ones. a-pinene up to 70% of ESSENTIAL oil content was the highest component. Seasonal alteration of each component was very variable.Drying effect can be valuable for isolation of components and commercial applications.

To investigate the effect of vermicompost, N fertilizer and their integration on growth, biological and ESSENTIAL yields oil and its components in two populations (Varamin and Isfahan), an experiment was conducted in a randomized complete block design with three replications in the field of Isfahan Medicinal Plants Research Center in 2016. Fertilizer treatments including 100% urea, vermicompost 33.3 and urea 66.6%, vermicompost 66.6 and urea 33.3%, 100% vermicompost and control treatment (without fertilizer) as the first factor and Varamin and Isfahan populations as the second factor were selected. The results showed that the interaction effects of nitrogen fertilizer and populations on all studied traits were significant. In both populations, nitrogen fertilizer improved height, biological and ESSENTIAL oil yields, content of ESSENTIAL oil compounds (d-Carvone and its yield, α-phellandrene and linalool; except p-Cymene and Limonene in Isfahan population). Since in medicinal plants, the quantity (biological yield) and quality (ESSENTIAL oil and d-Carvone; the most important ingredient and the highest amount of ESSENTIAL oil in this experiment), 66.6% vermicompost + 33.3% urea in Varamin population, was the best treatment in the experiment. In addition an in the direction of human health and sustainable agriculture, it is possible to reduce 33% of chemical fertilizers application and pollution; however, in terms of other ESSENTIAL oil contents (α-phellandrene, Linalool and p-Cymene), 100% vermicompost fertilizer treatment was superior in Isfahan population.

This article discusses the results of a corpus-based, quantitative study which was conducted to examine gender differences in conversational interaction in Persian language. The corpus is 20:09 hours of mixed-sex conversational interactions. Amount of SPEECH as a discourse variable was analyzed. The research reveals that statistically significant gender differences are found in the overall distribution patterns. Males do a greater share of talking than females. Gender differences between males and females on the sociolinguistic level are further examined in terms of two factors: topic and the ratio of male to female participants. The results show considerable gender differences in relation to these two factors. Males and females, based on certain topics, show different conversational interactions and the number of male participants has an effect on the language behaviour of men and women.