Teaching that docks with Students\u27 Emotional Needs - the Application of Teaching that Docks with Students\u27 Emotional Needs - the Application of Communicational Analysis Transactional Analysis in University Educationin University Education

In essence, teaching is a type of communication features one-to-many , which includes both cognitive and emotional layers. Currently, the ever-lasting stream of new technologies act as supplements of the traditional teaching making up the shortage in cognitive level, while innovative idea is also required in the emotional level of communication in teaching between teachers and students. The introduction of communication analysis technology into the traditional classroom is conducive to addressing the problems of communication existed between teachers, young teachers particular, and students from the perspective of emotion level. The combination of transactional analysis and traditional classroom instruction requires the realization of the changes referring three concepts in terms of the value of students, teachers and education. The value of students highlights the awareness of the active and resourceful part of the students and utilizes a variety of methods to give students comforting strokes ; the teaching value emphasizes the teacher\u27s self-orientation and the handling of the issue concerning mentality in teaching; the teachers value refers to dig out the five resources existed in every teacher, namely, nurturing parent, critical parent, adult, free child, and adaptive child. And the various resources shall be selected flexibly in line with the different circumstances to master classroom rhythm. Keywords: transactional analysis teaching Emotional Need

Improved Slime Mould Algorithm Based On Hybrid Strategy Optimization Of Cauchy Mutation And Simulated Annealing

In this article, an improved slime mould algorithm (SMA-CSA) is proposed for solving global optimization and the capacitated vehicle routing problem (CVRP). This improvement is based on the mixed-strategy optimization of Cauchy mutation and simulated annealing to alleviate the lack of global optimization capability of the SMA. By introducing the Cauchy mutation strategy, the optimal solution is perturbed to increase the probability of escaping from the local extreme value; in addition, the annealing strategy is introduced, and the Metropolis sampling criterion is used as the acceptance criterion to expand the global search space to enhance the exploration phase to achieve optimal solutions. The performance of the proposed SMA-CSA algorithm is evaluated using the CEC 2013 benchmark functions and the capacitated vehicle routing problem. In all experiments, SMA-CSA is compared with ten other state-of-the-art metaheuristics. The results are also analyzed by Friedman and the Wilcoxon rank-sum test. The experimental results and statistical tests demonstrate that the SMA-CSA algorithm is very competitive and often superior compared to the algorithms used in the experiments. The results of the proposed algorithm on the capacitated vehicle routing problem demonstrate its efficiency and discrete solving ability

Bone-targeted nanoplatform enables efficient modulation of bone tumor microenvironment for prostate cancer bone metastasis treatment

As there is currently no effective therapy for patients with prostate cancer (PCa) bone metastasis, it was stringent to explore the relevant treatment strategies. Actually, the interaction between cancer cells and bone microenvironment plays important role in prostate cancer bone metastasis, especially the Sonic hedgehog protein (SHH) signaling in the bone microenvironment. The SHH promotes osteoblast maturation and osteoblast then secretes RANKL to induce osteoclastogenesis. Herein, this study develops bone-targeting calcium phosphate lipid hybrid nanoparticles (NPs) loaded with docetaxel (DTXL) and SHH siRNA for PCa bone metastasis treatment. For bone targeting purposes, the nanoplatform was modified with alendronate (ALN). (DTXL + siRNA)@NPs-ALN NPs effectively change the bone microenvironment by inhibiting the SHH paracrine and autocrine signaling, enhancing the anti-tumor effects of DTXL. Besides showing good in vitro cellular uptake, the NPs-ALN also inhibited tumor growth both in vitro and in vivo by inducing apoptosis, cell cycle arrest, and autophagy. This DDS comprised of (DTXL + siRNA)-loaded NPs provides an excellent strategy to treat PCa bone metastasis

Bone-targeted nanoplatform enables efficient modulation of bone tumor microenvironment for prostate cancer bone metastasis treatment

As there is currently no effective therapy for patients with prostate cancer (PCa) bone metastasis, it was stringent to explore the relevant treatment strategies. Actually, the interaction between cancer cells and bone microenvironment plays important role in prostate cancer bone metastasis, especially the Sonic hedgehog protein (SHH) signaling in the bone microenvironment. The SHH promotes osteoblast maturation and osteoblast then secretes RANKL to induce osteoclastogenesis. Herein, this study develops bone-targeting calcium phosphate lipid hybrid nanoparticles (NPs) loaded with docetaxel (DTXL) and SHH siRNA for PCa bone metastasis treatment. For bone targeting purposes, the nanoplatform was modified with alendronate (ALN). (DTXL + siRNA)@NPs-ALN NPs effectively change the bone microenvironment by inhibiting the SHH paracrine and autocrine signaling, enhancing the anti-tumor effects of DTXL. Besides showing good in vitro cellular uptake, the NPs-ALN also inhibited tumor growth both in vitro and in vivo by inducing apoptosis, cell cycle arrest, and autophagy. This DDS comprised of (DTXL + siRNA)-loaded NPs provides an excellent strategy to treat PCa bone metastasis

Algorithm of diamond drilling system control

Актуальность. Из всех известных способов проходки скважин алмазное бурение отличается высокой частотой вращения инструмента на больших глубинах. Такие условия разрушения горной породы требуют особого контроля параметров процесса бурения и их корректировки в случае нарушения баланса системы реализуемых сил. Все параметры процесса бурения в определенной степени взаимосвязаны. Для достижения наибольшей эффективности работы алмазного породоразрушающего инструмента требуется оптимальный механизм его эксплуатации. Анализ ситуации и подбор нужных показателей режима бурения алмазным инструментом довольно трудоемкая работа, которую в производственных условиях необходимо осуществлять непрерывно онлайн, поэтому актуальной является задача разработки автоматизированной системы управления процессом алмазного бурения с целью рациональной организации использования дорогостоящего алмазного инструмента. Автоматизация управления бурением осуществима путем применения современных технологий компьютерного программирования, алгоритм которого должен учитывать все требования оптимизации взаимозависимых параметров процесса бурения. Целью исследования является разработка алгоритма управления системой алмазного бурения для дальнейшего внедрения его в программное обеспечение. Объекты: процесс алмазного бурения скважин, технико-экономические показатели бурения и параметры, оказывающие влияние на результаты бурения. Методы: аналитический метод, метод полного факторного эксперимента, метод моделирования. Результаты. Основными параметрами, влияющими на итоги проводимых буровых работ, являются механическая скорость бурения, ресурс инструмента и мощность, затрачиваемая на разрушение горной породы. Использование в качестве критерия оптимальности величины углубления за оборот позволяет обеспечить приемлемую скорость бурения и низкие затраты мощности при сохранении высокого ресурса инструмента. Процесс управления алмазным бурением заключается в анализе изменения в конкретный момент времени механической скорости бурения и мощности, на основании которого принимается решение о корректировке величины частоты вращения и осевой нагрузки. Разработан алгоритм управления системой алмазного бурения, который может быть реализован доступным языком программирования.The relevance. Diamond drilling is characterized by high rotational speed of the tool at great depths. Such conditions of rock destruction require special control of drilling parameters and their correction. All drilling parameters are interrelated. To achieve the most efficient operation of a diamond rock cutting tool, an optimal mechanism for its operation is required. Analysis of the situation and selection of the required parameters of the drilling mode with diamond tools is the laborious work. This must be done continuously online. The urgent task is the development of the automated control system for diamond drilling in order to rationalize the use of diamond tools. This is possible with the use of modern computer programming technologies. Software algorithm must take into account all the requirements for optimizing the interdependent drilling parameters. The main aim of the research is to develop a control algorithm for a diamond drilling system for its further implementation into software. Objects: diamond drilling, technical and economic indicators of drilling and parameters affecting the results of drilling. Methods: analytical method, full factorial experiment method, modeling method. Results. The main parameters affecting the results of drilling operations are ROP, tool life and power spent on rock destruction. The deepening per revolution as an optimality criterion makes it possible to ensure an acceptable drilling speed and low power consumption while maintaining a high resource of the tool. The control process for diamond drilling consists in analyzing the change at a specific point in time in ROP and power. After the analysis, a decision is made to correct the value of the speed and axial load. A control algorithm for the diamond drilling system was developed. The algorithm can be implemented in an accessible programming language