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This research aims to investigate the various ideologies embedded within the language of the primary English textbooks (SNC-2020) of grades (1-3). It also inquires the supportive role of these ideologies for the children in the process to get an education. This is qualitative research, the data is collected from the primary English textbooks (SNC-2020) of grades (1-3). The latent qualitative content analysis under the theoretical framework of 3D CDA Modal (Fairclough, 2001) reveal the ethical and Pakistani cultural ideologies and themes. The findings show the prominent themes are ethics in home and school, discipline attitude and good manners the children follow in the culture of Pakistan. The sophisticated and positive attitude of the children in the social, home and educational institutions reflects ethical values as the prominent feature of productive positive social being. Moreover, the critical discourse analysis of the qualitative data uncovers the different ethical and Pakistani cultural ideologies. These ideologies reflect the ethical and scheduled attitude of the children because they are shown to help the poor, share things, respect elders, be punctual and honest, keep cleanliness, does homework, save resources, play and study side by side. Consequently, this facilitates the process to get the education and the children get the idea from the textbooks to study at home along with following the ethical activities. The future researcher may explore the linguistic role of these textbooks to teach four skills of language.

Language, power and ideology are prominent hallmarks of political discourse those interact to code and decode ideologies on global and national level. His speech in UNGA reflects the diplomatic political ideas to tackle the sensitive sentimental and historical issue between nuclear powers in a strategic rational mode. This investigation attempts to explore the real political global philosophy, the actional vs. relational elements in the speech and its role in the construction of Pakistan’s image around the globe. This is significant as it reveals the role of language in the construction of world views. It also reflects the hyperbolic, sentimental and active element in it by western print media. Hodge and Kress (1996) Syntagmatic Model has been used as a theoretical framework. Qualitative method is used to identify the syntagmatic hallmarks and ideology in the political discourse. Data has been collected through purposive sampling technique. The findings of this study shows that Mr. Khan performs the actional transactive role as a dynamic responsible political leader and casts positive impact on cognition of UN and confronting power. He propagates the global political ideology which is anti-war and co-operation for the creation of peace. Similarly, he highlights the power ideology through the use of language as both countries are nuclear powers and use of power in reaction to the over use of authority in Kashmir by Indian government will lead to the dead end. Consequently, he uses deep, sentimental, rational and actional words as represented by WPM to influence the cognition, perception and consciousness of the other leader and nations. So that he can lead the historical challenging Kashmir issue on the way to solution and constructs the positive image of Pakistan. Briefly, this research will help the future researchers to investigate the interpersonal meta-functions and critical stylistic analysis of this political discourse.

The current study was carried out for quantitative and risk assessment of cadmium (Cd) and arsenic (As) from Talukas Ghora Bari and Mirpur Sakro. The concentration of Cd was determined using Atomic Absorption Spectroscopy instrument. The As concentration was measured with the help of the Arsenic Kit Method. For analysis of Cd, samples were prepared by the Microwave digestion method, whereas for As analysis, water samples were analyzed directly. The range of Cd content was observed from the studied areas as 1 – 10 μg/L and 1.2 – 11.2 μg/L, respectively. The groundwater water of Talukas Ghorabari and Mirpur Sakro showed the mean Cd content of 5 μg/L and 6.1 μg/L, respectively. The Cd contamination of 56% and 80% was found in Ghorabari and Mirpur Sakro, respectively. The range of As content of 0.00 – 50 μg/L and 10 – 80 μg/L was determined from Ghorabari and Mirpur Sakro, respectively. Hazard Quotient for Cd > 1 was found in 40% of both children and infants in the groundwater of the study area, which may cause non-carcinogenic risk. About 48% of water samples declared HQ values > 1 for adults in the water of Ghorabari. Since 84% of samples showed the HQ values > 1 for children and infants. The HQ values of As for Adults of the Mirpur Sakro were observed in 63.3% samples, whereas for children and infants, HQ values were found in 100% samples. It is therefore strongly recommended that groundwater must be treated before consumption by the people of the area under study.

In this technological era, computer vision accomplishes superior performance and it introduced to the Convolutional neural network (CNN) which is acquainted for recognize an object. In addition to object detection and classification are considered difficult tasks in computer vision. From the ancient times vehicle is the only communication media to move from one place to another place. In this automation period local vehicles are decreasing day by day. Because these type of vehicles motion are slow. We want to preserve our culture with the help of vehicle-NN model. We presented our own CNN model name Vehicle-NN which will be a convenient effect on the vehicle sector of Bangladesh. We compared our CNN model with other pre-trained models like MobileNet, VGG16, InceptionV3. This proposed model plays an effective role in the future automation vehicle identification sector. Besides we want to hold on to our traditional roots and preserving our local culture. Our work approach is novel for the detection of local vehicles in Bangladesh. In this experiment, we have used 7 classes (Bus, CNG, Leguna, Pickup, Rickshaw, Thelagari, Van). We trained our model with our own dataset and our CNN model acquired accuracy is 96%.

Starches isolated from the rice (Jhelum and Kohsar) and corn (PS-43 and Shalimar-maize) cultivars were studied for their physico-chemical and morphological properties. Physico-chemical properties such as composition, water and oil absorption capacity, swelling power, syneresis, freeze–thaw stability and light transmittance showed significant differences among the starches. Amylose contents of starches separated from the Jhelum and Kohsar rice cultivars and PS-43 and Shalimar-maize corn cultivars were 6.33%, 4.90%, 7.52% and 8.09%, respectively. The granular size varied from 5.2 to 5.9 μm for rice starches and 11.4–12.0 μm for corn starches. Transmittance value of gelatinized pastes from all starches progressively decreased up to the 2nd day during refrigerated storage, except Kohsar rice starch which lost its clarity significantly up to 3rd day of storage. The pasting property revealed peak, breakdown and setback viscosity which were in the range of 2479–3021 cP, 962–1713 cP and 1293–2003 cP respectively.