In this paper, we introduce a relatively new class, $\mathcal{\mathcal{B}}_{1}^\beta(\alpha)$, namely the class of Beta-Bazilevi\v{c} Function is generated by the Function Bazilevi\v{c} $\mathcal{B}_{1}(\alpha)$. We introduce the class in question by constructing the Alpha-Convex Function, $\mathcal{M}(\alpha)$, introduced by Miller et al. \cite{15}. Using Lemmas of Function with positive real part, we were given a sharp estimate of coefficient problems. The coefficient problems to be solved are the modulus of initial coefficients $f$, the modulus of inverse coefficients $f^{-1}$, the modulus of the Logarithmic coefficients $\log \frac{f(z)}{z}$, the Fekete-Szeg\"{o} problem and the second Hankel determinant problem.

In this paper, we de ne new subclass of analytic Functions related with bounded positive real part, and coe cients estimates, duality and neighborhood are considered.

The present research was conducted with the aim of the relationship between social factors and family violence against children (child abuse). The used method was a survey and the data collection tool was also a questionnaire. From a total of 155 families with a history of child abuse based on the social emergency statistics of Tehran in the last 6 months of 1397, 110 families (parents with one or more children) were selected in District 9 of Tehran Municipality. The random sampling method was simple. In the present study, children under 11 years (6-11 years) were defined as the age range of children and family violence was also defined as violence applied by parents, older siblings. Research hypotheses were tested with SPSS statistical software through Pearson's correlation coefficient. The results showed that the experience of violence has a positive relationship with psychological violence, physical violence, neglect against children and family violence against children. In other results, it was found that violence-oriented mentality has a positive relationship with psychological violence, physical violence, neglect against children and family violence against children. In the continuation of the obtained results, the positive relationship of family problems with mental violence, physical violence and neglect against children and family violence against children was confirmed and it was found that gender stereotypes have a positive relationship with mental violence, physical violence and neglect against children and family violence against children. Finally, in the main hypothesis, the results showed: social factors have a positive relationship with psychological violence, physical violence and neglect against children and family violence against children.

A B S T R A C TToday, all officials involved with the challenges of city sustainability have accepted the idea of a smarter city, using more technologies, creating better living conditions and protecting the environment for a better quality of life. The central part of the metropolis of Tabriz is based on Region 8 and part of Region 10, a historical-cultural area with an area of 286 hectares and a population of about 40 thousand people in 8 neighbourhoods. This research was compiled to evaluate and explain the regeneration of the central part of Tabriz city with the approach of smart growth and in line with the sustainable development of problematic neighbourhoods in the 8th district of Tabriz metropolis. The present review is methodologically practical, to describe and analyze the goals of regeneration based on library studies. The statistical population of the research includes experts and people living in the central context. In the first part, the Delphi method was used by asking experts. In the second part, the structural equation method of SPSS and AMOS software is used. According to the results of using the scales of design, pedestrian-oriented, intergenerational justice in the actual situation and 3 indicators of management and productivity, stable and value-creating jobs are in the potential situation. Also, two environmental indicators with the most direct and indirect effects and a cultural index have been decisive in the regeneration with the smart growth approach in the central part of Tabriz city. Therefore, in the regeneration of the central part, the studied indicators should be used simultaneously and integrated into the reconstruction projects of the central fabric of the city to lead to smart sustainabilityExtended AbstractIntroductionSmart growth is considered a lever for revitalizing neighborhoods and urban centers. In a general scenario of smart growth, knowing the time and resources of investment provides a new and sustainable life in the city center and worn-out and old textures. Moreover, finally, it will improve the quality of urban neighborhoods, especially worn-out ones, and revive them. Tabriz metropolis, one of the most important and largest cities in the country, with a long history of settlement, especially the central and old texture, due to developments in information and communication technology, extensive environmental, social, and economic changes in terms of time requirements, the traditional texture of roads, Deterioration of residential units, lack of equipment, infrastructure and urban services and environmental problems have caused the failure and physically turned into inefficient and problematic textures. Urban planning and development science must adopt a new decision and approach to face the existing and complex issues of worn-out texture. The main problem of the research is to evaluate and explain the regeneration of the central texture and strengthen them in line with the sustainable development of the problematic neighborhoods of Tabriz metropolis according to the solutions and principles of smart urban growth. Therefore, the main goal of this research is to answer the following question:- What are the effective indicators and components in the regeneration of the central texture of Tabriz metropolis with a smart growth approach? MethodologyThis research is applied and fundamental in terms of purpose and descriptive-analytical. The collection methods are based on documentary and library studies, surveys, and interviews. In the first part, qualitative data was prepared with an open questionnaire and through interviews, as well as the review of documents and quantitative data used in this research numerically and through the weighting of Delphi questionnaires based on the consensus index model to determine importance, certainty, and priority. The panel members were 19 people (including 5 university faculty members, 7 field research experts, 4 executive experts, and 3 graduate students) selected based on the non-probability (targeted) method. In the second part, Cronbach's alpha method was exerted to measure the reliability of the questions, which was obtained as 0.89. In order to evaluate the validity of the questionnaire, the Lawshe method was exploited. The statistical population of the second part includes District 8 of Tabriz, which is the central texture of the city and is equal to 34,231 people. According to Cochran's formula, the sample size was equal to 379 people. Results and discussionIn the next step, path analysis was performed using AMOS 23 software to compare the integrated model with the hypotheses. The results of the path analysis, while verifying the structures, show that the value of the index of the critical ratio to the degree of freedom (CMIN/DF) is equal to 4.01, which is an optimal value for the model fit. Also, the goodness of fit index (GFI) is 0.952, which indicates the acceptability of this amount for the optimal fit of the model. The value of the root means the square error of estimation (RMSEA) is 0.065, which is acceptable because it is smaller than 0.08 and indicates the confirmation of the research model. Also, the Tucker-Lewis index (TLI) is 0.917, the comparative fit index (CFI) is 0.92, and the normalized parsimonious fit index (PNFI) is 0.882, which all indicate that the fit and verification of the research model are desirable.Therefore, none of the objects are removed and remain in the model. Therefore, it is confirmed that the factor structure of regeneration indicators with the smart growth approach has reliability and construct validity. Also, the second-order factor analysis shows that the factor loadings of all regeneration indicators with the smart growth approach are greater than 0.4 and are significant at the 95% probability level. According to the results, the environmental dimension with a factor loading of 0.94 has the most significant effect on urban regeneration with the smart growth approach in the central texture of Tabriz city. After that, quality of life with a factor loading of 0.92, social dimension with a factor loading of 0.88, economic dimension with a factor loading of 0.83, physical dimension with a factor loading of 0.81, transportation dimension with a factor loading of 0.74 and cultural dimension in order with a factor loading of 0.72, are in the following ranks.According to the final structural model results, the environmental index has the highest value, with a direct effect of 0.594 and an indirect effect of 0.275. Moreover, after that, respectively, the quality of life index with a direct effect of 0.513 and an indirect effect of 0.236, a social index with a direct effect of 0.476 and an indirect effect of 0.217, an economic index with a direct effect of 0.451 and an indirect effect of 0.222, Physical with the direct effect of 0.435 and indirect effect of 0.205, mobility index with the direct effect of 0.373 and indirect effect of 0.182 and cultural index with the effect of direct values of 0.295 and indirect effect of 0.153 are influential in regeneration with smart growth approach in the central part of Tabriz city. ConclusionIn this research, seven main indicators related to the subject were investigated. The results showed that the environmental index with the most significant direct and indirect effect is the focus of the evaluation. After that, dimensions and indicators of quality of life, social index, economic index, physical index, mobility index, and cultural index have been influential. According to the results, the urban environment index was analyzed as the most important factor at a high level, and this means that for urban regeneration with a smart growth approach, improving the environmental and physical conditions in the worn-out and central texture of Tabriz city in the current situation is a priority. It is first. This is the most well-known part of regeneration with a smart growth approach. The analysis results show that this is not the case only in the case of transportation infrastructure. However, more comprehensive urban infrastructure such as the urban landscape, open spaces, green and parks, etc. are also crucial in improving the physical conditions of the infrastructure. Also, this study's results show that the economic sector's importance is as important as improving the physical conditions of the infrastructure. In addition, in the worn-out texture of District 8 of Tabriz city, the sociocultural sector is essential, and the revival of historical and cultural resources is considered one of the urban regeneration options. Funding There is no funding support. Authors’ Contribution All of the authors approved the content of the manuscript and agreed on all aspects of the work.  Conflict of Interest Authors declared no conflict of interest. AcknowledgmentsWe are grateful to all the scientific.

In this paper‎, ‎we study a nonparametric Bayesian inference on the family of nonincreasing density Functions on real positive data‎. ‎One interesting problem is the goodness of fit test in such a context‎. ‎In other words‎, ‎we consider nonparametric Bayesian testing on the family of nonincreasing density in this domain‎. ‎So‎, ‎we define nonparametric hypothesis testing and compare two different testing approaches‎. ‎The first approach is given based on the Bayes factor‎. ‎This approach is the well-known Bayesian approach for testing‎, ‎although its computation is complicated‎. ‎Decision-theoretic considerations with the loss Function drive the second approach for a given distance‎. ‎This second approach has the advantage of considering the distance to the null hypothesis but needs the definition of a threshold‎. ‎When no threshold is known as a priori‎, ‎a possibility exists to calculate a p-value‎, ‎and the method becomes more complicated to compute‎. ‎We propose a hybrid algorithm to accelerate the computation of the p-value‎. ‎The comparison of both approaches is performed based on a simulation study.

This research article examines legal discrimination against children born out of wedlock in Iran. Despite laws promoting equality, societal attitudes influenced by beliefs continue to result in discrimination. The study explores the reconciliation of religious beliefs with legal frameworks and the changes made to the Iranian legal system in response to positive human rights developments. The Article seeks to bridge the research gaps by comparing the experiences of Iranian children with those in other countries affected by Islamic law. The study employs library sources and descriptive and historical research methods to examine the legal status of children born outside of marriage, both nationally and internationally, and the discrimination they face. The Article is structured into four distinct sections: an analysis of Islamic Law, a review of the Iranian legal system, an assessment of Iran's compliance with international conventions, and a discourse on the necessity of substantial positive change. The Article ultimately recommends the eradication of discrimination through heightened awareness and the advancement of inclusivity for all children, irrespective of their lineage. In summary, this research Article aims to shed light on legal challenges faced by children born outside of marriage in Iran, with the goal of promoting positive changes in their treatment.

Introduction. Hypertension has been identified as one of the commonest modifiable determinants for chronic kidney disease progression. A variety of antihypertensive drugs are available and their effect on kidney Function has been investigated by a large number of randomized controlled trials. Observational studies, although scarcely been used, outpatient can reflect everyday practice, where drug exposures vary over time, and may provide an alternative for detecting longitudinal changes in kidney Function. Materials and Methods. We applied mixed model repeated measures analysis to investigate the effect of antihypertensive drug categories and their combinations on kidney Function change over time in a cohort of 779 patients with essential hypertension, using the data from a Greek hypertension outpatient clinic. Antihypertensive drugs were grouped in 5 categories. Their effect was evaluated and their combinations with and without renin-angiotensin-system inhibitors (RASI) to each other. In addition, the combination of RASI with calcium channel blockers (CCBs) was studied. Results. Diuretics, RASI, CCBs, and beta-blockers had a significant renoprotective and blood pressure lowering effect. Combinations with RASI had a smaller beneficial effect on kidney Function compared to CCBs (0. 75 mL/min/1. 73 m2 per year of drug use versus 0. 97 mL/min/1. 73 m2). There was no additional effect when combining RASI with CCBs. However, the lowering effect on systolic blood pressure was greater (-0. 83 mm Hg per year of drug use, P <. 001). Conclusions. RASI were found to have a smaller, although significant, renoprotective effect. There was no additional effect on kidney Function when combining RASI with CCBs.

The Kerman region stands out as one of the most significant mining areas globally, owing to its extensive and abundant mineral resources. Bam County, situated in the southeastern part of Kerman, has historically served as a crucial hub connecting the southeast of Iran with Sistan and Afghanistan, attributed to its distinctive geological and geomorphological characteristics. Enjoying considerable commercial and military importance since the Sassanid era, Bam County has garnered attention in archaeological research as a strategically vital region. The exploration of Bam's archaeological sites becomes imperative for historical governments, highlighting the need to investigate and comprehend ancient centers engaged in metal smelting and mining activities. Consequently, an archaeological survey of the central part of Bam County was initiated in 2018-2019 with the specific objective of identifying metal smelting workshops and ancient mines. This article presents the outcomes of a field survey conducted in the central part of Bam County, shedding light on evidence of metal smelting centers, furnaces, and historical mining activities. The primary research inquiries center around the chronology of mining evidence in the central part of Bam County, the types of metals extracted, and the processes involved in metal mining and metallurgy within this region. Employing field and documentary methods, the research adopts a descriptive-analytical approach. The study identified and examined eight sites showcasing evidence of smelting and slag, one ancient mine, and two active mines. These sites have been associated with the extraction and processing of metals and elements such as tin, zinc, lead, silver, iron, and, to a lesser extent, gold. Notably, the substantial volume of zinc and zinc oxide processing in seven sites holds significance. Although cultural materials for chronological dating were absent in the investigated sites, historical sources indicate that the extraction and smelting of these metals in the region date back to at least the 3rd century AH (9th century AD) and persisted until the Qajar period