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。     

一维同核化学位移相关谱的研究及其应用

从理论上分析研究了一维同核化学位移相关谱，并采用单片微处理机技术，首次在ＪＥＯＬＦＸ９０Ｑ核磁共振波谱仪上建立了一维同核化学位移相关谱方法，成功地测定了一些化合物的一维同核化学位移相关谱，得到了较好的结果。     

形如1＋（（4n（n＋1）s^2）/（s^2-1））的平方数

设n为正整数,S为大于1的正奇数.找出了所有可使1＋（（4n（n＋1）S2）/（S2-1））为平方数的正整数n.     

一类神经网络的指数稳定性分析

避免构造Lyapunov函数的困难,运用广义Dahlquist数方法研究了一类神经网络模型平衡点的存在唯一性和指数稳定性,在没有假设激活函数具有可微性、有界性的条件下,得出新的判据。