语音符号在英语学习中的作用

每种语言都有自己的音节节拍规律,语言学习应从语音知识开始.语音符号具有浓烈的民族性,不同的民族有不同的语音系统,其中韵律是语言最核心的本质.朗读是掌握一门语言语音知识最基本也是最重要的手段.阅读离不开内部言语活动,语音符号有利于提高阅读理解能力.笔者通过多年的英语教学发现,语音符号在英语学习中起到了非常重要的作用.英语学习也不例外,英语语音符号是文字符号的基础,是打开文字符号大门的钥匙.所以笔者呼吁,英语教师们,尤其是少儿英语和小学英语的教师们在教学中应重视语音符号的教学,这样才能更好地提高英语教学并克服聋哑外语.     

专业教师下厂锻炼与教学改革的关系研究——以江苏财经职业技术学院粮食工程与管理系为例

为推动高职院校与行业更加广泛深入的合作，以江苏财经职业技术学院粮食工程与管理系为例，介绍其在校企合作方面的主要做法及取得有成效。根据师生参加粮食行业实践工作的经验，从行业指导、教学模式改革、双师型教师培养、教学过程反思等方面。分析高职院校深入行业开展科技服务与教学的必要性。     

Detection of Ecballium elaterium in hedgerow olive orchards using a low-cost uncrewed aerial vehicle and open-source algorithms

BACKGROUND

Ecballium elaterium (common name: squirting cucumber) is an emerging weed problem in hedgerow or superintensive olive groves under no tillage. It colonizes the inter-row area infesting the natural or sown cover crops, and is considered a hard-to-control weed. Research in other woody crops has shown E. elaterium has a patchy distribution, which makes this weed susceptible to design a site-specific control strategy only addressed to E. elaterium patches. Therefore, the aim of this work was to develop a methodology based on the analysis of imagery acquired with an uncrewed aerial vehicle (UAV) to detect and map E. elaterium infestations in hedgerow olive orchards.

RESULTS

The study was conducted in two superintensive olive orchards, and the images were taken using a UAV equipped with an RGB sensor. Flights were conducted on two dates: in May, when there were various weeds infesting the orchard, and in September, when E. elaterium was the only infesting weed. UAV-orthomosaics in the first scenario were classified using random forest models, and the orthomosaics from September with E. elaterium as the only weed, were analyzed using an unsupervised algorithm. In both cases, the overall accuracies were over 0.85, and the producer's accuracies for E. elaterium ranged between 0.74 and 1.00.

CONCLUSION

These results allow the design of a site-specific and efficient herbicide control protocol which would represent a step forward in sustainable weed management. The development of these algorithms in free and open-source software fosters their application in small and medium farms. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.     

促进高校发展的科技政策及科研管理办法

高等院校是国家科学研究的一个重要方面军。怎样才能发挥高校的人才、学科、实验测试设备、图书资料等优势,是当今"科技创新"、"科教兴国"中需要研究的热点问题。从我国目前有关高校的科技政策入手,就其政策执行过程中所出现的问题提出了我们的看法,高校在用好、用活、用足这些优惠政策的同时,制定出高校内部的有关管理办法,使高校的科研为国家经济建设作出应有的贡献。     

Clinical feasibility of cognitive testing in dogs (Canis lupus familiaris)

Several cognitive tests have been developed to evaluate specific aspects of human and animal learning and memory. These tests have been used for early detection of cognitive deficits and to monitor the treatment of dogs with cognitive impairment. Thus, this article evaluated the feasibility of cognitive tests for use in canine neurology clinical routines and the suitability of the different tests to accomplish this aim. Fifteen healthy adult dogs were used for the cognitive tests of reward approach learning, object approach learning, object discrimination learning, reversal learning, delayed non-matched to position, and delayed non-matched to sample to assess different aspects of memory. No difference was observed between tests of delayed non-matched to position (3.13 ± 2.23 days) and delayed non-matched to sample (3.20 ± 2.40 days) (P = 0.944). However, dogs had greater difficulty in reversal learning (8.47 ± 2.61 days) than in object discrimination learning (4.60 ± 1.64 days) (P ≤ 0.001). Based on the tests performed, the delayed non-matched to position test may be performed in clinical routine if the owner and the veterinarian have time available, because this test is sensitive to evaluate dogs with cognitive impairments, but requires approximately 10 days of training. Thus, elderly dogs are excellent experimental models to study pathological aging based on their similarities with some human brain diseases, such as Alzheimer disease.     

基于深度学习的大豆生长期叶片缺素症状检测方法

为了检测作物叶片缺素,提出了一种基于神经网络的大豆叶片缺素视觉检测方法。在对大豆缺素叶片进行特征分析后,采用深度学习技术,利用Mask R-CNN模型对固定摄像头采集的叶片图像进行分割,以去除背景特征,并利用VGG16模型进行缺素分类。首先通过摄像头采集水培大豆叶片图像,对大豆叶片图像进行人工标记,建立大豆叶片图像分割任务的训练集和测试集,通过预训练确定模型的初始参数,并使用较低的学习率训练Mask RCNN模型,训练后的模型在测试集上对背景遮挡的大豆单叶片和多叶片分割的马修斯相关系数分别达到了0.847和0.788。通过预训练确定模型的初始参数,使用训练全连接层的方法训练VGG16模型,训练的模型在测试集上的分类准确率为89.42%。通过将特征明显的叶片归类为两类缺氮特征和4类缺磷特征,分析讨论了模型的不足之处。本文算法检测一幅100万像素的图像平均运行时间为0.8 s,且对复杂背景下大豆叶片缺素分类有较好的检测效果,可为农业自动化生产中植株缺素情况估计提供技术支持。     

Deficits of learning and memory in Hemojuvelin knockout mice

Iron is involved in various physiological processes of the human body to maintain normal functions. Abnormal iron accumulation in brain has been reported as a pathogenesis of several neurodegenerative disorders and cognitive impairments. Hemojuvelin (HVJ) is a membrane-bound and soluble protein in mammals that is responsible for the iron overload condition known as juvenile hemochromatosis. Although iron accumulation in brain has been related to neurodegenerative diseases, it remains unknown the effect of mutation of HVJ gene on cognitive performance. In our studies, HJV(−/−) mice showed deficits in novel object recognition and Morris water maze tests. Furthermore, the expression ration of apoptotic marker Bax and anti-apoptotic marker Bcl-2 in the hippocampus and prefrontal cortex showed higher levels in HJV(−/−) mice. Our results suggested that deletion of HJV gene could increase apoptosis in brain which might contribute to learning and memory deficits in mutant mice. These results indicated that HJV(−/−) mice would be a useful model to study cognitive impairment induced by iron overload in brain.     

信息与计算科学专业《数据结构》教学实践与思考

结合信息与计算科学专业设置,本文分析了数据结构课程教学现状,从整合教学内容、设置教学梯度和完善教学手段等方面进行研究与探索。本课题针对交叉学科的特点强调学以致用和知识的融会贯通,搭建了开放的专题学习平台,提高了学生的自主学习和研究能力,初步取得了较好的教学效果,为数据结构课程的教学改革提供了参考。     

农民大学生移动学习探索

通过调查分析农民大学生的特征以及移动学习的特点和优势，发现移动学习能够对农民大学生的课程学习起到促进作用，提高学习效率，是一种重要的远程教育方式。     

试论微型学习之于传统学习的优势

微型学习是以微型内容为特点,微型媒体为支撑的非正式学习模式。它适应了当代生活语境下人们对知识获取方式创新的要求,倡导了学习者尊重自身生命体验的情感回归,体现了人作为受教育者的社会性发展的重要路径,同时也为培养学习者综合能力提供了重要平台。