The effects of parents education on their daughters higher education in Khyber pukhtoonkhwa, Pakistan

The current research in Khyber Pakhtunkhwa looked at parents' education on their daughters' higher education. The researchers wanted to see how their parents' education influences their daughters' academic motivation. The study included male parents from Dir lower, Dir higher, and Swat. A sample of 360 male parents was chosen using the L.R Gay sample sorting table. A questionnaire was developed, and the Likert scale was provided five choices. Thus the data was collectedon random policy from the selected male parents. The data was entered into SPSS, analyzed with version-22, and percentage and chi-square analysis were used to interpret it. The research discovered that their parents' high educational levels positively influenced their daughters' higher education. The study recommends that the government educate society and parents in Khyber Pakhtunkhwa, Pakistan, to improve girls' literacy.

Student Argumentation Work Sample Sorting Task and Teachers’ Evaluations of Arguments

To support teachers in implementing ambitious reform efforts, professional developers and teacher educators need to know more about teachers’ thinking about argumentation. Specifically, there is a need to understand more about teachers’ views and evaluations of students’ mathematical arguments as they play out in practice. In this article, we share a tool developed to elicit teachers’ pre- and postevaluations of students’ mathematical arguments on a problem-solving task. We discuss the design of the tool and provide evidence of its utility. Our findings indicate that the tool can be used to (a) identify changes in teachers’ evaluations of student mathematical arguments over time and (b) inform the design of professional learning experiences.

ArF laser-induced plume fluorescence - Normalization of the fluorescence spectra

Laser-induced multianalyte atomic emissions are widely exploited for elemental analysis and sample sorting. One such scheme is UV laser-induced-fluorescence of dense plumes, or plume-LIF (PLIF) for short. For reliable analytical...

A new strategy for curriculum learning using model distillation

In recent years, deep neural networks have been successful in both industry and academia, especially for computer vision tasks. Humans and animals learn much better when gradually presented in a meaningful order showing more concepts and complex samples rather than randomly presenting the information. The use of such training strategies in the context of artificial neural networks is called curriculum learning. In this study, a strategy was developed for curriculum learning. Using the CIFAR-10 and CIFAR-100 training sets, the last few layers of the pre-trained on ImageNet Xception model were trained to keep the training set knowledge in the model’s weight. Finally, a much smaller model was trained with the sample sorting methods presented using these difficulty levels. The findings obtained in this study show that the accuracy value generated when trained by the method we provided with the accuracy value trained with randomly mixed data was more than 1% for each epoch. Keywords: Curriculum learning, model distillation, deep learning, academia, neural networks.

Performance Evaluation Based Aviation Anti-Submarine Aircraft Projection Analysis Method

Projection pursuit method will affect key performance indicators aviation anti-submarine aircraft into a one-dimensional projection value, given the quality of the evaluation of the various anti-submarine aircraft sample sorting, and has been the main performance index weighting, the method objectivity, For scientific evaluation of anti-submarine aircraft performance is important.

Hydrodynamic on-rail droplet pass filter for fully passive sorting of droplet-phase samples

A hydrodynamic droplet pass filter for droplet-phase sample sorting was developed in this study.