مطالب

Illegal fishing is one of the biggest problems currently being faced from various existing marine and fishery activity problems. The fishing ground in other countries has started to run out, while the abundance of fish in the Indonesian seas makes foreign fishermen tempted to exploit fish in the Indonesian sea illegally, especially in the areas around the coast of Riau province, for example, in the Kabupaten of Meranti. This research with the systematic literature review method attempted to analyze how Indonesia's strategies and policies are in maintaining the defense of the border areas to prevent illegal fishing in the coastal waters of Riau Province in a sustainable manner using a systems approach. The results of the study stated that the occurrence of illegal fishing is also triggered by the need and demand for certain fish stocks that have high economic value, especially those consumed by visitors of expensive restaurants overseas.

Today, global warming, increasing the Land Surface Temperature, especially in big cities, is one of the environmental problems. The purpose of this article is to estimate the ability of Sebal, improved single-channel and Split window algorithms in estimating Land Surface Temperature on Landsat 8 image data in July 2019 and extracting Land Use maps in 7 classes for Tabriz County using an object-oriented classification method. Matching the temperature maps obtained by using these three mentioned algorithms with the Land Use map and comparing the algorithms with each other in terms of the proximity of their temperature to the Tabriz station is another goal of this article. To estimate the accuracy of the measured temperature, the data of the measured temperature of the Tabriz station at two centimeters above the land (as a representative of Tabriz County) has been used. The results of Sebal, improved single-channel, and Split window algorithms showed the highest temperature for dry pasture use and the lowest temperature for vegetation use, which indicates the importance of vegetation cover in the temperature changes of the studied area. A comparison of the studied algorithms with the temperature measured in the Tabriz station and their adaptation to different uses showed that the improved single-channel algorithm is more consistent with the actual temperature of the actual Land Surface Temperature in Tabriz County. The results of this study can help environmental planners concerned about the increase in air temperature in cities to make more appropriate decisions regarding the control of this phenomenon.

The present study explored the effects of voicing and place of articulation on voice onset time (VOT) and fundamental frequency (F0) of onset of Persian oral plosives uttered by normal hearing (NH) and hearing-impaired (HI) children. Twenty-one NH children and twenty-one HI children matched for age and gender took part in this study. The participants were asked to repeat 36 CV words including all eight Persian plosives (/p/, /t/, /k/, /c/, /b/, /d/, /g/, /Ɉ/) in combination with the vowel /æ/. All syllables were recorded in a nearly sound-proof room using PRAAT Software. Independent samples t-test was used to compare the groups across gender. The results revealed: (a) HI children had higher VOT and F0 of onset values in nearly all aspects except for VOT and F0 onset of voiced plosives and F0 onset of alveolar and velar plosives; (b) both groups of girls had higher VOT values than boys did; (c) VOT is affected by the place of articulation and F0 is related to voiced-voiceless classification of plosives. Overall, NH children were able to distinguish and produce sounds more correctly, implying that HI children need further training. The study has implications for speech therapists, clinical linguists, and application designers to focus on speech sounds which are challenging for HI children to produce.  

Purpose: The present study aimed to design a framework for recruiting non-teaching educational staff in Iran’s Ministry of Education. Method: The present study pursues a qualitative approach. The statistical population of the research included experts and professors in the field of specialization and the senior managers of the General Department of Education of Semnan province in the academic year of 2023-2024, among which 15 were chosen as the samples using theoretical saturation sampling and targeted sampling. The research instruments were a semi-structured interview and a review of the existing documents on this subject. The collected data were validated using member checking. The data validity was evaluated and confirmed using the quality criterion (reliability). The research data analysis method was thematic analysis in three levels: basic themes, organizing themes and Global Themes. Findings: The data analysis led to the identification of 393 basic themes, 33 number-one organizing themes, and 13 number-2 organizing themes in the field of specialization in recruiting non-teaching educational staff in the Ministry of Education. These themes were categorized under 4 global themes including expertise management with two organizing themes (expertise management and performance management), resource management with four organizing themes (human, time, material, and information), change management with three organizing themes (change in organizational structure, change in competitive atmosphere, and change in attitude), and management of organizational development with four organizing themes (managerial capabilities, human resource planning, creation of specialization culture, and organizational interactions). Conclusion: The use of elite and expert employees in the nonteaching sector of the educational system, as a leading institution in providing extensive services to the general public, depends on the presence of a specialization pattern in the recruitment of non-teaching staff. Identification of specialization criteria in the non-teaching sector, which has been done in this research, helps with the formulation of an appropriate specialization model to employ skilled and specialist staff in this sector.

The present study was conducted to investigate the mediating role of achievement anxiety in the relationship between perfectionism and cognitive flexibility in math learning in students. The study was correlational using structural equation modeling. The statistical population included senior high school female students in the academic year of 2022-2023. According to the obvious variables, allocation of 25 coefficients, and taking into account the incomplete questionnaires, 231 students were selected by convenience sampling. The instruments included Hewitt and Flett’s perfectionism (1991) questionnaire, Dennis and Vander Wal's cognitive flexibility (2010) questionnaire, and Alpert and Haber's achievement anxiety (1960) questionnaire. Also, the students’ math scores at the end of the semester were used to measure their math learning. The data were analyzed by Pearson's correlation coefficient test and structural equation modeling using SPSS18 and AMOS24 software. The results showed that perfectionism and achievement anxiety have a negative direct effect, and cognitive flexibility has a positive direct effect on math learning. Also, perfectionism and cognitive flexibility have an indirect effect on math learning through achievement anxiety. The research model was also confirmed and the result showed that the variable measurement models have a good fit and 41% of the math learning variance is explained by the research variables. The findings of this research can be beneficial for teaching and learning of students. With educational planning and helping students, their cognitive capacities and competencies can be increased and their mathematical learning can be effectively improved.