Technological schemes of the formation internal dumps and determination the parameters of excavator`s dumps by working off the deep open pits

Проаналізовані основні схеми внутрішнього відвалоутворення при відпрацюванні глибоких кар’єрів і запропонована класифікація цих схем. Отримана аналітична залежність площі призми зсуву гірської маси від параметрів обладнання і фізико-механічних властивостей скельних порід. Проанализированы основные схемы внутреннего отвалообразования при отработке глубоких карьеров и предложена классификация этих схем. Получена аналитическая зависимость площади призмы сдвижения горной массы от параметров оборудования и физико-механических свойств скальных пород

Современные биотехнологии утилизации отходов животноводческих ферм Сибири

В данной статье рассмотрен процесс метанообразования в биореакторе оригинальной конструкции. Описаны процессы, происходящие на различных стадиях прохождения биомассы. Описаны конструктивные особенности базового биореактора. This article describes the process of methane formation in the bioreactor original design. The processes that take place at different stages of the biomass. The design features of the base of the bioreactor

Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection

One of the long-standing challenges in lexical semantics consists in learning representations of words which reflect their semantic properties. The remarkable success of word embeddings for this purpose suggests that high-quality representations can be obtained by summarizing the sentence contexts of word mentions. In this paper, we propose a method for learning word representations that follows this basic strategy, but differs from standard word embeddings in two important ways. First, we take advantage of contextualized language models (CLMs) rather than bags of word vectors to encode contexts. Second, rather than learning a word vector directly, we use a topic model to partition the contexts in which words appear, and then learn different topic-specific vectors for each word. Finally, we use a task-specific supervision signal to make a soft selection of the resulting vectors. We show that this simple strategy leads to high-quality word vectors, which are more predictive of semantic properties than word embeddings and existing CLM-based strategies

The potential of tasks for mathematical learning and its use in instruction – Perspectives of experts from Germany and Taiwan

The potential of tasks to stimulate students’ mathematical thinking and the adequate use of this potential in instruction are prominent indicators for instructional quality. Since the assessment of a task’s potential depends on the aims of instruction, it may be argued that corresponding perspectives vary between cultural contexts. However, so far, this has not been systematically investigated in cross-cultural comparisons. In this study, we investigate whether Western (German; N=17) and East Asian (Taiwanese; N=19) professors of mathematics education have different perspectives on the potential of word problems for students’ learning and the use of this potential in instruction by means of vignettes from a cross-cultural research project. We illustrate how differences reflect cultural aspects of mathematics instruction.This study is part of the project TaiGer Noticing which is funded by the DFG – German Research Foundation (grant numbers DR 1098/1-1 and LI 2616/2-1) and the Ministry of Science and Technology (MOST, grant number 106-2511-S-003-027-MY3)

Perspectives of professors in mathematics education on fruit salad algebra – A comparison between Taiwan and Germany

This study investigated intercultural differences in experts’ perspectives on the appropriateness of the use of mathematical representations. A total of 19 Taiwanese and 12 German experts (professors in mathematics education) participated in an online survey to evaluate the use of representations in a text vignette illustrating a classroom situation in which the teacher used fruit salad algebra. Through content analysis, this study revealed that the majority of German experts criticized the inappropriateness of the representations for causing letter as object misconceptions, whereas the perspectives of Taiwanese experts were dominated by practical concerns related to whether the use of the representations was a waste of time or could help students successfully perform mathematical operations on the symbols.This study is part of the project TaiGer Noticing which is funded by the Ministry of Science and Technology (MOST, grant number 106-2511-S-003-027-MY3) and the DFG – German Research Foundation (grant numbers DR 1098/1-1 and LI 2616/2-1)

Soft Bio-Microrobots: Toward Biomedical Applications

Soft bio-microrobots have the potential to execute complex tasks in unexpected and harsh environments of the human body due to their dexterity and flexibility. The architectural designs of soft bio-microrobots either replicate the motion of natural creatures or capitalize on their motility. Based on this design principle, biologically inspired microrobots that imitate the movements and functions of biological systems, such as starfish, bacteria, and sperm cells, as well as biohybrid microrobots that combine motile micro-organisms or cells with functional components have been developed. Herein, an overview of the design principles, energy sources, and biomedical applications of existing soft bio-microrobots is presented. It is shown that the incorporation of externally responsive material enables biologically inspired microrobots to change their shapes and imitate the motion of living organisms under external stimuli, and it is interpreted how biohybrid microrobots are guided through the tactic behavior of microorganisms or cells. Finally, perspectives on key challenges that soft bio-microrobots must overcome to achieve in vivo biomedical applications are given

Scalable production of iPSC-derived human neurons to identify tau-lowering compounds by high-content screening

Lowering total tau levels is an attractive therapeutic strategy for Alzheimer's disease and other tauopathies. High-throughput screening in neurons derived from human induced pluripotent stem cells (iPSCs) is a powerful tool to identify tau-targeted therapeutics. However, such screens have been hampered by heterogeneous neuronal production, high cost and low yield, and multi-step differentiation procedures. We engineered an isogenic iPSC line that harbors an inducible neurogenin 2 transgene, a transcription factor that rapidly converts iPSCs to neurons, integrated at the AAVS1 locus. Using a simplified two-step protocol, we differentiated these iPSCs into cortical glutamatergic neurons with minimal well-to-well variability. We developed a robust high-content screening assay to identify tau-lowering compounds in LOPAC and identified adrenergic receptors agonists as a class of compounds that reduce endogenous human tau. These techniques enable the use of human neurons for high-throughput screening of drugs to treat neurodegenerative disease