200MW机组气力输灰系统的自适应优化

针对某供热电厂#5机组输灰系统输灰气源压力经常被大幅度拉低、运行人员需频繁调整仓泵进料时间的现象进行深入分析,在输灰顺控逻辑上增加了输灰时间自适应优化,根据该锅炉自身特性成功实现了在机组调峰、煤种改变的情况下输灰系统的高自动化、经济、稳定运行。     

青海省东乘公麻金矿床Ⅵ号矿体原生晕特征及深部找矿预测

东乘公麻金矿床是青海省巴颜喀拉造山带北缘Au-Sb成矿带上新发现的中型金矿床,由于受“生态保护第一,尊重群众意愿”政策影响,勘查工作主要以深部勘查为主,本文选择该矿床有代表性的VI号矿体,研究其构造原生晕轴向分带序列。研究结果表明：VI号矿体原生晕分带序列为：（Au、Sb、As）→（Bi、Pb）→（Ag、Cu、Zn）;分带序列呈现“反分带”趋势,地球化学参数“反转”,前、尾晕共存,预测VI号矿体深部延伸较好或有隐伏矿体存在的可能性,圈定了成矿靶区,以期为矿山下一步探矿工作提供科学依据。     

浅谈我馆图书索书号取法

随着科学技术的发展,各高校图书馆都在探究适合自身的图书取号方法,并在实际的工作中不断摸索改进,基本上都确立了各自的取号方法。本文首先对索书号的构成进行了叙述,重点对华侨大学厦门工学院图书馆图书索书号的取法进行了阐述,针对一般图书、不同版本图书、多卷书、连续出版物、配套书以及套书种次号的取法进行论述,全面讲述了一个让图书馆的藏书排架更科学合理、便于利用的图书取号法。     

AdaSL: An Unsupervised Domain Adaptation framework for Arabic multi-dialectal Sequence Labeling

Dialectal Arabic (DA) refers to varieties of everyday spoken languages in the Arab world. These dialects differ according to the country and region of the speaker, and their textual content is constantly growing with the rise of social media networks and web blogs. Although research on Natural Language Processing (NLP) on standard Arabic, namely Modern Standard Arabic (MSA), has witnessed remarkable progress, research efforts on DA are rather limited. This is due to numerous challenges, such as the scarcity of labeled data as well as the nature and structure of DA. While some recent works have reached decent results on several DA sentence classification tasks, other complex tasks, such as sequence labeling, still suffer from weak performances when it comes to DA varieties with either a limited amount of labeled data or unlabeled data only. Besides, it has been shown that zero-shot transfer learning from models trained on MSA does not perform well on DA. In this paper, we introduce AdaSL, a new unsupervised domain adaptation framework for Arabic multi-dialectal sequence labeling, leveraging unlabeled DA data, labeled MSA data, and existing multilingual and Arabic Pre-trained Language Models (PLMs). The proposed framework relies on four key components: (1) domain adaptive fine-tuning of multilingual/MSA language models on unlabeled DA data, (2) sub-word embedding pooling, (3) iterative self-training on unlabeled DA data, and (4) iterative DA and MSA distribution alignment. We evaluate our framework on multi-dialectal Named Entity Recognition (NER) and Part-of-Speech (POS) tagging tasks.The overall results show that the zero-shot transfer learning, using our proposed framework, boosts the performance of the multilingual PLMs by 40.87% in macro-F1 score for the NER task, while it boosts the accuracy by 6.95% for the POS tagging task. For the Arabic PLMs, our proposed framework increases performance by 16.18% macro-F1 for the NER task and 2.22% accuracy for the POS tagging task, and thus, achieving new state-of-the-art zero-shot transfer learning performance for Arabic multi-dialectal sequence labeling.     

预测2015年高考数列考点

高考一直是大家关注的焦点,而数列也是高考的必考的重要知识点。2014年的高考已过,2015年高考成为着重点。本论文主要以以往各届高考真题为依据,探讨预测2015年数列知识点的试卷分布和试题特点。     

一次生成活动的尝试——生成活动“合肥我的家”给我的启示

本文从自身开展幼儿园生成活动的困惑谈起,结合具体的活动实例．提出了生成活动要选择符合幼儿年龄特点的活动内容,提供有启发的游戏操作材料,并将游戏活动列入主题序列中,丰富幼儿知识储备．从时间和空间上发挥幼儿的主动性。     

超二次曲面Q3中的共形极小二维球面

利用调和序列研究超二次曲面Q₃ 中的共形极小二维球面,得到四类线性满的常曲率的极小二维球面. 尽管它们在 CP⁴ 中都是极小的,但是它们的几何并不相同.     

Concatenated Trellis Coding and CPM for DS/SSMA Communications in Rayleigh Fading Channel

本文在衰落信道下将级联网格编码调制（ＴＣＭ）和连续相位调制（ＣＰＭ）应用于直接序列扩频多址（ＤＳ／ＳＳＭＡ）系统中．作者分别采用了理论分析和数值模拟两种方法研究了级联ＴＣＭ／ＣＰＭＤＳ／ＳＳＭＡ系统的性能，结果表明在相同的条件下采用级联ＴＣＭ／ＣＰＭ编码调制方式的ＤＳ／ＳＳＭＡ系统的错误概率远小于采用单一ＴＣＭ或ＣＰＭ的ＤＳ／ＳＳＭＡ系统的错误概率．     

自然数码立方和映射数列的研究

证明了图(N，T)中有且仅有9个圈，并给出了对任意自然数n 0，存在自然数k0，当k≥k0时，T k(n 0) 进入相应圈的充要条件。     

The Beautiful and the Ugly: Reading Ability Modulates Word Spacing Effects in Chinese Children

There are no salient word spaces in Mandarin Chinese. Thus, it is unclear whether word spacing information differentially affects the reading speed of children with and without reading difficulties (RD). In the present study, native Chinese-speaking children of differential reading abilities were tested with Chinese text in un-spaced versus spaced versions at different time points during training. The results indicated that spaced texts slow down reading speeds in children without RD. In contrast, spaced texts improved reading speeds in children with reading difficulties after some training took place. These findings suggest that the effect of word spacing information on Chinese reading might vary as a function of individual differences in reading abilities. We argue that children with RD can accommodate to the spaced text better than children without RD and that they can take advantage of using bottom-up spacing information to segment and recognize words in text.