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.

Frontier Progress of Landscape Character Assessment in China

The role of Landscape Character Assessment(LCA)at the level of territorial landscape governance spans both natural and social sciences.By analyzing the development history,research distribution,methods and applications of cutting-edge cases of LCA in China,the following conclusions are drawn:①the LCA research in China originated earlier than that in Europe,but has not yet been systematically applied to the implementation of urban and rural planning at all levels;②the fundamental theory of LCA in China has been well constructed,with three main research directions:technologyled,assessment-led,and assessment combined with other theories;③the development of LCA in rural areas is more mature than in urban areas,but the progress of research is uneven across regions;④the current research presents significant“bottom-up”academic characteristics,and there is an urgent need for government decision-making authorities and academia to jointly promote a“top-down”standardized governance mechanism to comprehensively promote the modernization of territorial landscape governance.

An Empirical Study on the Improvement of College Students’Positive Mental Characters through the Sandplay Course

In recent years,psychological crisis events have occurred frequently in colleges.Therefore,cultivating students’rational and calm,positive and upward attitude is the current focus of mental health education in colleges.This study aims to explore the intervention effect of sandplay courses on students’positive mental characters.Through the voluntary registration and matching of the public elective course platform,35 students from a university were selected as subjects,including 17 students in the experimental group and 18 students in the control group.From March to July 2024,16 weeks of sandplay course intervention was carried out in the experimental group,while no intervention was done in the control group.The scores of the Positive Mental Characters Scale for Chinese College Students(PMCSCCS)and the Positive Mental Characters Self-Assessment before and after the intervention were statistically analyzed.Both the scale test(t=-3.62,P<0.01)and self-assessment(t=-3.86,P<0.01)of the experimental group had significant improvement in positive mental characters after the intervention,while the control group had no significant difference in positive mental characters scores before and after the intervention.The sandplay course can effectively improve the level of positive mental characters of college students.Schools and families should pay attention to and explore various channels to actively cultivate positive mental characters of college students,so as to lay a solid foundation for their future development and growth.

Behavior Response of Recreationists to Environment Characteristics of City Parks for Forest Recreation—A Case Study of City Parks of Jingzhou City in China

By taking city parks of Jingzhou City as an example,city parks,as primary places for citizens' daily forest recreation,should present a certain recreational environment feature under the comprehensive effect of nature,humanity,facilities,location and historical evolution.Through the empirical analysis of recreationists' behaviors in city parks with different environmental characters,it has obtained the differences of recreationists in composition,staying time and contents of recreational activities in different city parks,and that recreationists appear to adapt to the environmental characters.Recreational attractions and demands have manifested their perception towards the environmental characters of city parks.The distribution of recreational satisfaction has demonstrated that experience value of recreationists and environmental characters of city parks are consistent.

The Relationship between Genetic Polymorphisms of Three Gene Loci and Growth Characters of Haimen Goats

[Objective] The paper aims to study the relationship between genetic polymorphisms of three gene loci and growth character of Haimen Goats to provide reference to promote Haimen Goat growth character and cultivate Haimen Goat new strain of fast-growth.[Method] We processed analysis and related statistical analysis on three gene loci of Haimen Goats with PCR-RFLP and PCR-SSCP.[Result] The results suggested that there were two genotypes in MSTN gene IntronⅡ,GH gene exonⅠ and GH gene exonⅡ in Haimen Goats.Different genotypes of these gene loci had different effects on relative growth character of Haimen Goats.[Conclusion] This study had a significant meaning about promoting Haimen Goat avoirdupois by marker assistant option.

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 Complimentary Functions of Minor Characters to Shakespeare's Themes

本文通过对莎士比亚四大悲剧文本的细致分析,探讨了莎剧中小人物对莎氏悲剧主题的作用,指出其有两点作用:一、揭示主题;二、深化主题。

Comment on Jane Eyre’Character and Her Spirit

This paper,from what Jane Eyre experienced and what she thought about the happenings,first analyses Jane Eyre's independent,rebellious characters and spirits and her spiritual and supernatural themes,and then shows her typical character.

Enlightenment from The Three Character Primer on Building a Democratic and Harmonious Family Education Means

At present,there are unharmonious factors existing in Chinese family education,which particular manifest in the means of family education.The Three Character Primer,as an epitome of the essence of Chinese traditional culture,can provide enlightenment on building a democratic and harmonious family education means.

Experimental study on flow characteristics of tetrahydrofuran hydrate slurry in pipelines

Tetrahydrofuran（THF） was selected as the substitute to study the flow behaviors and the mechanism of the hydrates blockage in pipelines.The slurrylike hydrates and slushlike hydrates are observed with the formation of hydrates in pipeline.There is a critical hydrate volume concentration of 50.6% for THF slurries and pipeline will be free of hydrate blockage while the hydrate volume concentration is lower than the critical volume concentration;otherwise,pipeline will be easy to be blocked.Fully turbulent flow occurs and friction factors tend to be constant when the velocity reaches 1.5 m/s.And then,constant values of friction factors that depend on the volume concentrations in the slurry were regressed to estimate the pressure drops of THF hydrate slurry at large mean velocity.Finally,a safe region,defined according to the critical hydrate volume concentration,was proposed for THF hydrate slurry,which may provide some insight for further studying the natural gas hydrate slurries and judge whether the pipeline can be run safely or not.

Vehicle License Plate Character Segmentation

Vehicle license plate (VLP) character segmentation is an important part of the vehicle license plate recognition system (VLPRS).This paper proposes a least square method (LSM) to treat horizontal tilt and vertical tilt in VLP images.Auxiliary lines are added into the image (or the tilt-corrected image) to make the separated parts of each Chinese character to be an interconnected region.The noise regions will be eliminated after two fusing images are merged according to the minimum principle of gray values. Then,the characters are segmented by projection method (PM) and the final character images are obtained.The experimental results show that this method features fast processing and good performance in segmentation.

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.

Optimised CNN Architectures for Handwritten Arabic Character Recognition

Handwritten character recognition is considered challenging compared with machine-printed characters due to the different human writing styles.Arabic is morphologically rich,and its characters have a high similarity.The Arabic language includes 28 characters.Each character has up to four shapes according to its location in the word(at the beginning,middle,end,and isolated).This paper proposed 12 CNN architectures for recognizing handwritten Arabic characters.The proposed architectures were derived from the popular CNN architectures,such as VGG,ResNet,and Inception,to make them applicable to recognizing character-size images.The experimental results on three well-known datasets showed that the proposed architectures significantly enhanced the recognition rate compared to the baseline models.The experiments showed that data augmentation improved the models’accuracies on all tested datasets.The proposed model outperformed most of the existing approaches.The best achieved results were 93.05%,98.30%,and 96.88%on the HIJJA,AHCD,and AIA9K datasets.

Effect of refractive error on temperament and character properties

AIM: To determine the effect of refractive error on temperament and character properties using Cloninger’s psychobiological model of personality.METHODS: Using the Temperament and Character Inventory(TCI), the temperament and character profiles of 41 participants with refractive errors(17 with myopia,12 with hyperopia, and 12 with myopic astigmatism) were compared to those of 30 healthy control participants.Here, temperament comprised the traits of novelty seeking, harm-avoidance, and reward dependence, while character comprised traits of self-directedness,cooperativeness, and self-transcendence.RESULTS: Participants with refractive error showed significantly lower scores on purposefulness,cooperativeness, empathy, helpfulness, and compassion(P 【0.05, P 【0.01, P 【0.05, P 【0.05, and P 【0.01,respectively).CONCLUSION: Refractive error might have a negative influence on some character traits, and different types of refractive error might have different temperament and character properties. These personality traits may be implicated in the onset and/or perpetuation of refractive errors and may be a productive focus for psychotherapy.

Effect of Co on Solidification Characteristics and Microstructural Transformation of Non-equilibrium Solidified Cu-Ni Alloys

Non-equilibrium solidification structures of Cu55Ni45 and Cu55Ni43Co2 alloys were prepared by the molten glass purification cycle superheating method.The variation of the recalescence phenomenon with the degree of undercooling in the rapid solidification process was investigated using an infrared thermometer.The addition of the Co element affected the evolution of the recalescence phenomenon in Cu-Ni alloys.The images of the solid-liquid interface migration during the rapid solidification of supercooled melts were captured by using a high-speed camera.The solidification rate of Cu-Ni alloys,with the addition of Co elements,was explored.Finally,the grain refinement structure with low supercooling was characterised using electron backscatter diffraction(EBSD).The effect of Co on the microstructural evolution during nonequilibrium solidification of Cu-Ni alloys under conditions of small supercooling is investigated by comparing the microstructures of Cu55Ni45 and Cu55Ni43Co2 alloys.The experimental results show that the addition of a small amount of Co weakens the recalescence behaviour of the Cu55Ni45 alloy and significantly reduces the thermal strain in the rapid solidification phase.In the rapid solidification phase,the thermal strain is greatly reduced,and there is a significant increase in the characteristic undercooling degree.Furthermore,the addition of Co and the reduction of Cu not only result in a lower solidification rate of the alloy,but also contribute to the homogenisation of the grain size.

Translation Compensation Methods under Skopostheorie:A Comparative Study on Four-character Chengyu Translation Compensation in Hong Lou Meng

This article attempts to apply skopos theory and make a comparative study of the translation compensation methods of two English versions of Hong Lou Meng in terms of four-character chengyu from the linguistic perspective.

Development Strategy of Characteristic and Profitable Agriculture in Chongqing

To develop characteristic and profitable agriculture was proposed in the 4th congress of party representatives in Chongqing, based on Chongqing practical development in major cities, rural regions, mountain regions, and poverty-stricken areas. It would be effective for sustainable development and farmers’ income improvement. However, some existing problems should be well considered, including special geographical locations, unsatisfied application of science and technology in agriculture, loss of young labors and aging issues. In the research, the existing problems in developing characteristic and profitable agriculture were analyzed and the corresponding strategies were proposed as well.

Clinical Characteristics of Paroxysmal Kinesigenic Choreoathetosis: Diagnosis, Treatment and Prognosis

The clinical characters, diagnosis and differential diagnosis of paroxysmal kinesigenic choreoathetosis （PKC）, and efficacy of the anti-epileptic drugs （AEDs） were investigated. Thirty-one patients with PKC were collected, and the clinical characters and change of EEG were analyzed. The average age of the first attack was 16.8 years old and the pinnacle was 10 to 20 years old. There were definite causes for every attack and the sudden the whole attack was always less than 1 min. movement was the most common one （92%）. Time for The attack presented with muscle tension disturbance （83.9%）, movement like dancing （16.1%）, abnormal movement of mouth and face and other symptoms （16.2%）. The attack tended to be very frequent and 71% patients were beyond once per day. The EEG examination and image scan of primary PKC were normal in most patients. Low dosage of AEDs could control the attack of 50%-77.3% patients. It was concluded that PKC was a common disease of movement disorder. The therapy by AEDs was very effective. PKC should be differentiated from epilepsy and the relationship between PKC and epilepsy needs further research.

Image segmentation algorithm based on high-dimension fuzzy character and restrained clustering network

An image segmentation algorithm of the restrained fuzzy Kohonen clustering network （RFKCN） based on high- dimension fuzzy character is proposed. The algorithm includes two steps. The first step is the fuzzification of pixels in which two redundant images are built by fuzzy mean value and fuzzy median value. The second step is to construct a three-dimensional （3-D） feature vector of redundant images and their original images and cluster the feature vector through RFKCN, to realize image seg- mentation. The proposed algorithm fully takes into account not only gray distribution information of pixels, but also relevant information and fuzzy information among neighboring pixels in constructing 3- D character space. Based on the combination of competitiveness, redundancy and complementary of the information, the proposed algorithm improves the accuracy of clustering. Theoretical anal- yses and experimental results demonstrate that the proposed algorithm has a good segmentation performance.

A Method for Detecting and Recognizing Yi Character Based on Deep Learning

Aiming at the challenges associated with the absence of a labeled dataset for Yi characters and the complexity of Yi character detection and recognition,we present a deep learning-based approach for Yi character detection and recognition.In the detection stage,an improved Differentiable Binarization Network(DBNet)framework is introduced to detect Yi characters,in which the Omni-dimensional Dynamic Convolution(ODConv)is combined with the ResNet-18 feature extraction module to obtain multi-dimensional complementary features,thereby improving the accuracy of Yi character detection.Then,the feature pyramid network fusion module is used to further extract Yi character image features,improving target recognition at different scales.Further,the previously generated feature map is passed through a head network to produce two maps:a probability map and an adaptive threshold map of the same size as the original map.These maps are then subjected to a differentiable binarization process,resulting in an approximate binarization map.This map helps to identify the boundaries of the text boxes.Finally,the text detection box is generated after the post-processing stage.In the recognition stage,an improved lightweight MobileNetV3 framework is used to recognize the detect character regions,where the original Squeeze-and-Excitation(SE)block is replaced by the efficient Shuffle Attention(SA)that integrates spatial and channel attention,improving the accuracy of Yi characters recognition.Meanwhile,the use of depth separable convolution and reversible residual structure can reduce the number of parameters and computation of the model,so that the model can better understand the contextual information and improve the accuracy of text recognition.The experimental results illustrate that the proposed method achieves good results in detecting and recognizing Yi characters,with detection and recognition accuracy rates of 97.5%and 96.8%,respectively.And also,we have compared the detection and recognition algorithms proposed in this paper with other typical algorithms.In these comparisons,the proposed model achieves better detection and recognition results with a certain reliability.