Instance Segmentation of Characters Recognized in Palmyrene Aramaic Inscriptions

This study presents a single-class and multi-class instance segmentation approach applied to ancient Palmyrene inscriptions,employing two state-of-the-art deep learning algorithms,namely YOLOv8 and Roboflow 3.0.The goal is to contribute to the preservation and understanding of historical texts,showcasing the potential of modern deep learning methods in archaeological research.Our research culminates in several key findings and scientific contributions.We comprehensively compare the performance of YOLOv8 and Roboflow 3.0 in the context of Palmyrene character segmentation—this comparative analysis mainly focuses on the strengths and weaknesses of each algorithm in this context.We also created and annotated an extensive dataset of Palmyrene inscriptions,a crucial resource for further research in the field.The dataset serves for training and evaluating the segmentation models.We employ comparative evaluation metrics to quantitatively assess the segmentation results,ensuring the reliability and reproducibility of our findings and we present custom visualization tools for predicted segmentation masks.Our study advances the state of the art in semi-automatic reading of Palmyrene inscriptions and establishes a benchmark for future research.The availability of the Palmyrene dataset and the insights into algorithm performance contribute to the broader understanding of historical text analysis.

Fireworks Optimization with Deep Learning-Based Arabic Handwritten Characters Recognition Model

Handwritten character recognition becomes one of the challenging research matters.More studies were presented for recognizing letters of various languages.The availability of Arabic handwritten characters databases was confined.Almost a quarter of a billion people worldwide write and speak Arabic.More historical books and files indicate a vital data set for many Arab nationswritten in Arabic.Recently,Arabic handwritten character recognition(AHCR)has grabbed the attention and has become a difficult topic for pattern recognition and computer vision(CV).Therefore,this study develops fireworks optimizationwith the deep learning-based AHCR(FWODL-AHCR)technique.Themajor intention of the FWODL-AHCR technique is to recognize the distinct handwritten characters in the Arabic language.It initially pre-processes the handwritten images to improve their quality of them.Then,the RetinaNet-based deep convolutional neural network is applied as a feature extractor to produce feature vectors.Next,the deep echo state network(DESN)model is utilized to classify handwritten characters.Finally,the FWO algorithm is exploited as a hyperparameter tuning strategy to boost recognition performance.Various simulations in series were performed to exhibit the enhanced performance of the FWODL-AHCR technique.The comparison study portrayed the supremacy of the FWODL-AHCR technique over other approaches,with 99.91%and 98.94%on Hijja and AHCD datasets,respectively.

The Women Characters of the 1930s in the Chinese TV Serials

The women of the 1930s in the Chinese TV serials deduct inspiring stories.They play different roles in the big wealthy families such as mothers-in-law,daughters-in-law,and maidservants.There are unceasing conflicts between these women,because of their struggle for men's love,wealth or social position.The theme of their stories is always about fertility,love,kindness and evil,with the ending being either comic or tragic.The stories of various kinds of women of the 1930s in the Chinese TV serials decorate and enrich the lives of many of us latecomers and their names are passed on from generation to generation.

The Women Characters in the Novel The Great Gatsby

The Great Gatsby is a significant classic in American literature and Fitzgerald is also considered as a chronicler of the"Jazz Age".The women characters play an important role in revealing the theme of the novel.The paper analyzes these women characters and points out their function juxtaposed against Gatsby.These women are all the victims of a society of wealth in American twenties.Compared to Fitzgerald's life,his attitude toward women and love is ambivalent.What happens to Gatsby is a warning to the rest of mankind.In the progress of realizing our own dream,we should be and can be soberer than those protagonists in the novel.

Different Characters and Destines of Four Sisters in Little Women

Little Women is a novel published in1868 and written by American author Louisa May Alcott. The story concerns the lives and loves of four sisters growing up during the American Civil War. It was based on Alcott＇s own experiences as a child in Concord, Massachusetts with her three sisters, Anna, May, and Elizabeth. It is a story about love, faith, fortitude, and devotion. And this paper aims at analyzing the four sisters＇ different characters and destinies and tries to give readers a new understanding about this novel.

An Analysis of the Women Characters in A Rose for Emily and The Jilting of Granny Weatherall

This paper provides a literary analysis of"The Jilting of Granny Weatherall"by Katherine Anne Porter and"A Rose for Emily"by William Faulkner through the point of characterization.The main characters in the stories share several important similarities.However,each author has succeeded in portraying two very different women by adopting the unique point of view,different methods of characterization respectively,thus making both Miss Emily and Granny Weatherall vividly appear as the way they are,not simple characters resembling each other.

An Analysis of the Social Significance of Hemingway's women characters

This paper expounds the social significance of Hemingway’s women characters. Through his colorful characterization, Hemingway exposes the social contradictions, the physical and psychic traumas the women had in the war and depicts these women characters’ pursuit of normal life, true love, and domestic happiness even in the turbulent and dangerous conditions of the war.

Discussion of Online Teaching Strategies for Teaching Elementary Chinese Characters to Foreigners Based on Error Analyses

The expanding role of the Chinese language in international communications has become increasingly prominent as China’s comprehensive national power continues to grow,leading to a significant rise in the number of Chinese language learners.Since online teaching is not limited by time and space,its application is widespread.For beginners in the Chinese language,the Chinese characters are both a priority and a challenge.The“Chinese Character Classification,”also known as the“Six Writings,”is the earliest systematic theory of Chinese character structures,and teaching Chinese characters in categories based on the“Chinese Character Classification”is a method that fits the cognition of beginners.In order to teach Chinese characters in a targeted approach,based on the collection and analysis of the common errors of Chinese characters among beginners,(1)this paper proposes that(a)the intuitive method can be applied to teach pictographic characters,indicative characters,and associative compound characters in online teaching;(b)the inductive-deductive method of“basic characters to new characters”can be applied for the teaching of pictophonetic characters and associative compound characters;(c)the learning of character patterns should be approached in a whole-part-whole process,while importance should be attached to the suggestion of the frequency effect with a view to facilitating the online learning of Chinese characters for beginners.The aim of this paper is to provide some practical implications for the online teaching of Chinese characters to foreigners.

“Cartoon Characters Can Touch Your Soul and Set Trends”——Interview with Lina JU,Chief Designer of GENMEC

Recently,HUGY has become quite popular in the Chinese market.The character can been seen everywhere,from its emojis,memes,cartoon stories,and art toys,to T-shirts,candies,garments.HUGY is a cartoon of a cute puppy,who is always smiling widely and reaching out his arms,ready to hug you.We invited the character’s creator,Lina Ju for an interview.Lina Ju comes from South Korea but has been working in China for 10 years.She is the chief designer of GENMEC,a trendy brand belonging to Sums Model,a company based in the south of China.

Effects of Microelement Fertilizers on Main Economic Characters and Yield of Peanut

The main purpose of this study was to explore and master the optimal types and application methods of microelement fertilizers suitable for peanut cultivation in Linyi City.The results showed that the application of zinc,magnesium,sulfur,calcium and other microelement fertilizers to peanut plants had a certain yield-increasing effect,and zinc had the most significant yield-increasing effect.Compared with the control check(CK),the yield per unit area increased by 1431 kg/hm^(2),equivalent to an increase of 38.4%.Meanwhile,according to field investigation and observation,the treatment of increasing zinc fertilizer had a certain promotion effect on peanut emergence rate,seedling growth potential,and yield components.

Shakespeare’s Brave Women and Brave World--A Topological Study of His Juliet,Portia and Cordelia

Juliet,Portia and Cordelia are three heroines in plays of King Lear,Romeo and Juliet and The Merchant of Venice written by Shakespeare.Although they are endowed with various personalities,the three women have all shown a brave trait in their character,which makes them become the representatives of brave women.Deformation and equivalence are two important terms used to describe the deduction of topological spaces.From a topological perspective,the thesis purports to study and interpret the distinctive and vivid artistic images of Juliet,Portia and Cordelia,finding that their diverse artistic images and similar bravery are in response to the transformation and equivalence in literary metaphorical topological spaces.It helps to explain the reason why Shakespeare had created so many colorful female images.In this sense,this paper provides a new point of view and a new mechanism to interpret Shakespeare’s plays.

Analysis of Young Girls’Eagerness to Spend for Disney Virtual Characters Based on Marketing Mix Theory

A virtual character is a design of a fictitious creature with distinctive characteristics created by people,and Disney virtual characters are those Intellectual Property(IP)images that appeared in Disneyland and Disney movies.This investigation aimed to explore why many younger females are keen to spend money on Disney virtual characters.This paper adopted the Marketing Mix Theory strategy(product,price,placement,and promotion(4P)),and the SWOT analysis method has been utilized.This paper investigated the relationship between the 4Ps and consumers’purchasing intentions,and it turned out that unique design and effective promotion in this Disney case would promote consumers’purchase intention,while the higher price and less accessible placements affected their purchase intentions.Thus,the high price and limited places somewhat inhibit customers’desire to buy;due to the attractiveness of the product itself and the promotion on the internet,the target consumers are still willing to consume.

云南梨地方品种果实表型性状多样性分析

【目的】深入了解云南梨地方品种果实表型性状的变异特点和多样性。【方法】以云南有代表性的61个梨地方品种为试验材料,对果实16个描述型性状和7个数量型性状进行变异类型和多样性分析,利用电子鼻技术检测果实香气并进行主成分分析。【结果】云南梨地方品种果实的16个描述型性状变异类型丰富,其中果实形状和果实成熟期的变异类型最多。各描述型性状的多样性指数(H’)在0.45~1.88之间。19个梨地方品种果实在成熟时果皮分别着鲜红、淡红、粉红、暗红等不同盖色。7个数量型性状变异系数在11.25%~61.79%之间,单果质量的变异系数最高;多样性指数(H’)为1.676~2.080,果实纵径、果柄长度、可溶性固形物含量、果实横径、果形指数的多样性指数均大于2.0。电子鼻技术可以区分供试地方品种,WIW(硫化氢类)、W5S(氮氧化物)、W2W(芳香成分和有机硫化物)等3个传感器在模式识别中起主要作用。【结论】云南梨地方品种果实描述型性状变异类型丰富,数量型性状多样性指数较高。筛选出会泽火瓢梨等7个果皮着鲜红色的品种可作为红色梨选育的优异资源。电子鼻技术可以区分61个云南梨地方品种,可用作地方品种鉴定的辅助手段。

A Comparative Analysis of the Origin and Formation Between Chinese Characters and English Alphabets

This research is based on the framework of social constructivism,utilizing the principle of Human Universals as a methodology to compare the similarities and differences between the ideation and formation methods of Chinese characters and English alphabets.Through comparative analysis of the ideation of English letters(pictogramme)and the origin of Chinese characters,known as the"Six Categories Theory,"we discover their alignment in terms of social,traditional,and cultural aspects.This suggests that different ethnic groups share common features in terms of life experience,learning cognitive development,and thinking habits.This study also finds that the origins of English letters and Chinese characters share similar linguistic features in their methods of constructing letters/characters,such as pictographic,ideographic,and semantic characteristics.Exploring these commonalities contributes to promoting learning and communication between Chinese and English characters.Additionally,by focusing on socio-cultural aspects,traditional customs,and cognitive learning,this study aims to break away from the traditional linguistic research approach that solely focuses on language differences.This provides a broader perspective and richer dimensions for Chinese and English language learning,facilitating the development of cross-linguistic and cross-cultural communication.

阅读伴随词汇学习的词切分:首、尾词素位置概率的不同作用

本研究通过两个平行实验,探讨重复学习新词时首、尾词素位置概率信息作用于词切分的变化模式。采用阅读伴随词汇学习范式,将双字假词作为新词,实验1操纵首词素位置概率高低,保证尾词素相同;实验2操纵尾词素位置概率高低,保证首词素相同。采用眼动仪记录大学生阅读时的眼动轨迹。结果显示:(1)首、尾词素位置概率信息的词切分作用随新词在阅读中学习次数的增加而逐步变小,表现出“熟悉性效应”。(2)首词素位置概率信息的“熟悉性效应”表现在回视路径时间、总注视次数两个相对晚期的眼动指标,而尾词素位置概率信息的“熟悉性效应”则从凝视时间开始,到回视路径时间,再持续到总注视时间。结果表明首、尾词素的位置概率信息均作用于阅读伴随词汇学习的词切分,但首词素的作用时程更长,更稳定,支持了首词素在双字词加工中具有优势的观点。

扎根中国实践是我国管理学研究的优良品格

从范式思维高度理解,扎根中国实践既是我国管理学研究的基本属性,又是其优良品质,对于促进管理学术中国化和推动建构管理学中国自主知识体系都具有重要价值和意义。基于扎根中国实践开展管理学研究的主要抓手包括讲好中国管理故事、设定管理新议题、凝练标识性管理概念、拓展新的学术话语和实现学理链大循环等。同时,构建稳定宽松的学术生态环境和评价机制是推动管理学研究扎根实践的保障。通过这些努力,扎根中国实践的管理学研究能够不断发展,并为中国和全球管理学的健康、持续与高质量发展做出积极贡献。

不同种源地红花绿绒蒿果实及种子性状分析

【目的】探究种源地对红花绿绒蒿果实及种子性状的影响。【方法】测量不同种源地红花绿绒蒿果实大小、种子大小及千粒重,测定不同种源地红花绿绒蒿根际土成分含量,进行果实及种子性状与环境因子的相关性分析。【结果】果实长与土壤pH呈极显著负相关关系(P<0.01),与土壤碱解氮呈显著正相关关系(P<0.05);种子长与经度呈显著负相关关系(P<0.05),与年均降水量呈极显著正相关关系(P<0.01);种子千粒重与经度呈显著负相关关系(P<0.05)。【结论】土壤因子显著影响红花绿绒蒿果实性状,气候因子显著影响红花绿绒蒿种子性状。

航空发动机叶片装配执行过程智能检测及AR引导

为了提高航空发动机叶片装配执行过程的作业智能化程度,本文提出一种航空发动机叶片装配执行过程智能检测及AR引导方法,该方法包括叶片编码识别、物料AR出入库和齐套摆放过程状态检测3个环节。针对航空发动机叶片物料缺乏自动化识别和智能化纠错的问题,搭建基于编码识别的叶片物料管理架构,提出基于图像处理的叶片编码图像前处理增强操作,并利用贝叶斯纠错对识别结果进行正误判断和纠错校正的后处理操作,提高了叶片编码识别准确率;在物料人工出入库环节,利用AR增强可视化信息辅助用户快速执行作业任务,降低了叶片物料选取作业的时间;针对叶片物料齐套准备过程,构建了基于检测比对的防错纠错系统,避免发生人为错误。所提叶片装配执行过程智能检测及AR增强辅助引导方法可以有效减少人力物力和时间消耗,在推动航空发动机迈向智能化和自动化生产上起到技术支撑作用。

浙江省3个油橄榄主栽品种果实表型与品质性状分析

为摸清油橄榄Olea europaea引入浙江栽植后的表现,以3个主栽品种‘城固32号’O.uropaeain‘Chenggu32’‘鄂植8号’O.uropaeain‘Ezhi 8’和‘豆果’O.uropaeain‘Arbequina’的果实为材料,测定不同成熟度下的果实表型和品质性状,并采用方差分析、相关性分析和主成分分析法确定最佳采收期及果实表型与品质性状的差异性。结果表明,3个品种果实的成熟时间不同,成熟时间从早到晚依次为‘城固32号’(9月18日)、‘鄂植8号’(10月7日)和‘豆果’(10月28日);3个品种果实的成熟期也不同,分别为28 d(‘城固32号’)、47d(‘鄂植8号’)和68d(‘豆果’);根据鲜果质量和含油率确定‘城固32号’‘鄂植8号’和‘豆果’的最佳采收期分别为第5成熟度、第4成熟度和第5成熟度;方差分析结果表明,3个油橄榄品质性状在品种间差异显著(P<0.05),同一品种不同成熟度也存在显著差异(P<0.05);相关性分析分析结果表明,油橄榄果实表型性状间和品质性状间存在显著相关性,通过果实表型性状可以推测果实品质的差异;通过油橄榄果实品质性状主成分分析结果表明,前三个主成分的特征值最大,分别为5.88、3.52和2.16,累积贡献率达到88.86%。本文研究结果有助于通过不同油橄榄品种的表型性状差异来推断果实品质性状的差异性,可为浙江油橄榄品种引种工作提供重要参考。

教育强国背景下的基础教育变革:可为、应为与何为

建设教育强国是国家重大战略,标志着一个崭新教育时代的开启。基础教育是教育强国建设的基点,基础教育变革必然是教育强国建设的内在要义和必由之路,这要从可为、应为与何为三个逻辑向度加以认识和把握:教育强国战略为基础教育变革提供方向引领、生成动力和实践基础,此乃可为;基础教育变革推动儿童健康成长、时代新人培养、文化传承创新和人类文明赓续,以达成教育强国目标,此乃应为;系统把握基础教育变革的价值之向、思维之度、创生之基,以落实立德树人任务为着力点,以增强基础教育适应性为切入点,以坚定中国特色教育自信为支撑点,通过基础教育变革更好推动各级各类教育协同发展,最终为教育强国建设奠基赋能,此乃何为。