MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction

Relation extraction (RE), an important information extraction task, faced the great challenge brought by limited annotation data. To this end, distant supervision was proposed to automatically label RE data, and thus largely increased the number of annotated instances. Unfortunately, lots of noise relation annotations brought by automatic labeling become a new obstacle. Some recent studies have shown that the teacher-student framework of knowledge distillation can alleviate the interference of noise relation annotations via label softening. Nevertheless, we find that they still suffer from two problems: propagation of inaccurate dark knowledge and constraint of a unified distillation temperature . In this article, we propose a simple and effective Multi-instance Dynamic Temperature Distillation (MiDTD) framework, which is model-agnostic and mainly involves two modules: multi-instance target fusion (MiTF) and dynamic temperature regulation (DTR). MiTF combines the teacher’s predictions for multiple sentences with the same entity pair to amend the inaccurate dark knowledge in each student’s target. DTR allocates alterable distillation temperatures to different training instances to enable the softness of most student’s targets to be regulated to a moderate range. In experiments, we construct three concrete MiDTD instantiations with BERT, PCNN, and BiLSTM-based RE models, and the distilled students significantly outperform their teachers and the state-of-the-art (SOTA) methods.

Research and Application of Double-Reheat Boiler in China

The ultra-supercritical (USC) double-reheat technology is an immediate area of research focus in China, since the thermal efficiency of USC double-reheat unit is higher than the USC single-reheat unit. The parameters and capacity of USC double-reheat unit in China have made major breakthroughs, and the thermal efficiency of the units are as high as 47–48%, which is the highest in the world. USC double-reheat boiler is one of the most important devices for USC double-reheat unit, and the design concept and precision have a vital effect on the operation of boiler and power station. The most difficult and important factors in the design of double-reheat boiler are the layout of heating surface and the steam temperature regulation method. Therefore, this work summarizes the arrangement of heating surface and temperature regulation method of existing double-reheat boiler in China. It is hoped that the work will set a benchmark for the development of double-reheat boiler and the future 700 °C power generation unit in the world.

Principles of Neuroendocrinology and Hypothalamic Function

The hypothalamus is the neural center of the endocrine system, the regulator of the autonomic nervous system, and the circadian and seasonal clock for behavioral and sleep-wake functions. The hypothalamus maintains homeostasis by integrating cortical, limbic, and spinal inputs and by affecting hormone release, temperature regulation, intake of food and water, sexual behavior and reproduction, emotional responses, and diurnal rhythms. As the link from the nervous system to the endocrine system, the hypothalamus synthesizes and secretes neurohormones that stimulate or inhibit the secretion of pituitary hormones.

WATER SOURCES AND WATER-BORNE DISEASES: A STUDY OF SEASONAL DISPARITIES IN BACTERIOLOGICAL COMPOSITIONS OF WATER SOURCES IN KOGI STATE, NIGERIA

Water is an essential component of human living and crucial in metabolism, substrate transport across membranes, cellular homeostasis, temperature regulation, and circulatory function. Access to quality water is a critical concern of any society. However, water shortage remains the central problem of many households across the universe, prompting people to depend on water sources that are considered unhealthy for human consumption. The primary purpose of this study was to examine the bacteriological compositions of water sources in Kogi State based on seasonal disparities. Water samples were obtained from streams and hand-dug wells within the Ankpa and Obajana areas during the rainy and dry seasons. The analysis conducted on the samples revealed that the water sources were heavily contaminated with bacteria at both seasons.