Urdu,a prominent subcontinental language,serves as a versatile means of communication.However,its handwritten expressions present challenges for optical character recognition(OCR).While various OCR techniques have bee...Urdu,a prominent subcontinental language,serves as a versatile means of communication.However,its handwritten expressions present challenges for optical character recognition(OCR).While various OCR techniques have been proposed,most of them focus on recognizing printed Urdu characters and digits.To the best of our knowledge,very little research has focused solely on Urdu pure handwriting recognition,and the results of such proposed methods are often inadequate.In this study,we introduce a novel approach to recognizing Urdu pure handwritten digits and characters using Convolutional Neural Networks(CNN).Our proposed method utilizes convolutional layers to extract important features from input images and classifies them using fully connected layers,enabling efficient and accurate detection of Urdu handwritten digits and characters.We implemented the proposed technique on a large publicly available dataset of Urdu handwritten digits and characters.The findings demonstrate that the CNN model achieves an accuracy of 98.30%and an F1 score of 88.6%,indicating its effectiveness in detecting and classifyingUrdu handwritten digits and characters.These results have far-reaching implications for various applications,including document analysis,text recognition,and language understanding,which have previously been unexplored in the context of Urdu handwriting data.This work lays a solid foundation for future research and development in Urdu language detection and processing,opening up new opportunities for advancement in this field.展开更多
The Tien's Mountain Stream Snake,Opisthotropis daovantieni Orlov, Darevsky, and Murphy, 1998, has been represented solely by its type series, with no additional specimens reported in the past two decades. As a res...The Tien's Mountain Stream Snake,Opisthotropis daovantieni Orlov, Darevsky, and Murphy, 1998, has been represented solely by its type series, with no additional specimens reported in the past two decades. As a result, limited data exist and O. daovantieni remains one of the least studied members of its genus. Based on a re-examination of the type series, analysis of newly collected topotypic specimens, and a review of museum collections, this study provides an updated and comprehensive morphological characterization of O. daovantieni including detailed descriptions of hemipenial morphology, revised diagnostic characters,phylogenetic positioning, and ecological insights.Based on morphological comparisons with congeners, we also define the informal Opisthotropis spenceri group to facilitate future taxonomic work. In addition, this study documents a previously unreported defensive behavior involving tail-poking,observed in the field and thus far unique within the genus Opisthotropis.展开更多
We construct the quantum fields presentation of the generalized universal character and the generalized B-type universal character,and by acting the quantum fields presentations to the constant 1,the generating functi...We construct the quantum fields presentation of the generalized universal character and the generalized B-type universal character,and by acting the quantum fields presentations to the constant 1,the generating functions are derived.Furthermore,we introduce two integrable systems known as the generalized UC(GUC)hierarchy and the generalized Btype UC(GBUC)hierarchy satisfied by the generalized universal character and the generalized B-type universal character,respectively.Based on infinite sequences of complex numbers,we further establish the multiparameter generalized universal character and the multiparameter generalized B-type universal character,which have been proved to be solutions of the GUC hierarchy and the GBUC hierarchy,respectively.展开更多
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 go...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.展开更多
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 wa...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.展开更多
With the deterioration of the environment and the unbalanced relationship between man and nature,people are plagued by varieties of social problems and rising spiritual crises.This paper aims to analyze Thoreau’s cha...With the deterioration of the environment and the unbalanced relationship between man and nature,people are plagued by varieties of social problems and rising spiritual crises.This paper aims to analyze Thoreau’s characters in Walden and attempts to provide the implications for our contemporary life.Combined with Thoreau’s life experience and the background of Walden,the paper starts with the analysis of Thoreau’s characters from three aspects concerning his pursuit of inner serenity,search for true essence of life and abiding passion for life,which constitute his unique and independent characters and provide the enlightenment for contemporary life.We concluded that unique thoughts,attitudes,and spirit embedded in Thoreau’s characters are inextricably connected with our contemporary life.His personal experience and practice of solitary life at Walden Pond is a testimony to the necessity of closing to nature actively and confronting life passionately.展开更多
It is a great honour to participate in this forum and share my research.The title of my presentation is Respecting Differences and Pursuing Transcendence:Léon Vandermeersch's Characters-Oriented Cross-Cultura...It is a great honour to participate in this forum and share my research.The title of my presentation is Respecting Differences and Pursuing Transcendence:Léon Vandermeersch's Characters-Oriented Cross-Cultural China Studies.展开更多
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 colleg...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.展开更多
文摘Urdu,a prominent subcontinental language,serves as a versatile means of communication.However,its handwritten expressions present challenges for optical character recognition(OCR).While various OCR techniques have been proposed,most of them focus on recognizing printed Urdu characters and digits.To the best of our knowledge,very little research has focused solely on Urdu pure handwriting recognition,and the results of such proposed methods are often inadequate.In this study,we introduce a novel approach to recognizing Urdu pure handwritten digits and characters using Convolutional Neural Networks(CNN).Our proposed method utilizes convolutional layers to extract important features from input images and classifies them using fully connected layers,enabling efficient and accurate detection of Urdu handwritten digits and characters.We implemented the proposed technique on a large publicly available dataset of Urdu handwritten digits and characters.The findings demonstrate that the CNN model achieves an accuracy of 98.30%and an F1 score of 88.6%,indicating its effectiveness in detecting and classifyingUrdu handwritten digits and characters.These results have far-reaching implications for various applications,including document analysis,text recognition,and language understanding,which have previously been unexplored in the context of Urdu handwriting data.This work lays a solid foundation for future research and development in Urdu language detection and processing,opening up new opportunities for advancement in this field.
基金supported by the National Natural Science Foundation of China(32300370, 32200363)International Partnership Program of Chinese Academy of Sciences (071GJHZ2023041MI),Biological Resources Programme, Chinese Academy of Sciences (KFJ-BRP-017-65, KFJ-BRP017-086, CAS-TAX-24-051, CAS-TAX-24-052)+2 种基金China Postdoctoral Science Foundation (2023M743416)Natural Science Foundation of Sichuan Province (No. 2023NSFSC1155)partially supported by the Vietnam Academy of Science and Technology (CT0000.03/25-27) to NTT。
文摘The Tien's Mountain Stream Snake,Opisthotropis daovantieni Orlov, Darevsky, and Murphy, 1998, has been represented solely by its type series, with no additional specimens reported in the past two decades. As a result, limited data exist and O. daovantieni remains one of the least studied members of its genus. Based on a re-examination of the type series, analysis of newly collected topotypic specimens, and a review of museum collections, this study provides an updated and comprehensive morphological characterization of O. daovantieni including detailed descriptions of hemipenial morphology, revised diagnostic characters,phylogenetic positioning, and ecological insights.Based on morphological comparisons with congeners, we also define the informal Opisthotropis spenceri group to facilitate future taxonomic work. In addition, this study documents a previously unreported defensive behavior involving tail-poking,observed in the field and thus far unique within the genus Opisthotropis.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.12461048 and 12061051)the Natural Science Foundation of Inner Mongolia Autonomous Region(Grant No.2023MS01003)+2 种基金the Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region(Grant No.NJYT23096)the financial support from the Program of China Scholarships Council(Grant No.202306810054)for one year study at the University of Leedsthe support of Professor Ke Wu and Professor Weizhong Zhao at Capital Normal University,China。
文摘We construct the quantum fields presentation of the generalized universal character and the generalized B-type universal character,and by acting the quantum fields presentations to the constant 1,the generating functions are derived.Furthermore,we introduce two integrable systems known as the generalized UC(GUC)hierarchy and the generalized Btype UC(GBUC)hierarchy satisfied by the generalized universal character and the generalized B-type universal character,respectively.Based on infinite sequences of complex numbers,we further establish the multiparameter generalized universal character and the multiparameter generalized B-type universal character,which have been proved to be solutions of the GUC hierarchy and the GBUC hierarchy,respectively.
基金The results and knowledge included herein have been obtained owing to support from the following institutional grant.Internal grant agency of the Faculty of Economics and Management,Czech University of Life Sciences Prague,Grant No.2023A0004-“Text Segmentation Methods of Historical Alphabets in OCR Development”.https://iga.pef.czu.cz/.Funds were granted to T.Novák,A.Hamplová,O.Svojše,and A.Veselýfrom the author team.
文摘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.
基金Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2022R263)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabiathe Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:22UQU4340237DSR39.
文摘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.
基金supported by a grant(2023SJYB1830)from Philosophy and Social Sciences Research Project for Universities in Jiangsu Provincea grant(24YJA740017)from Humanities and Social Sciences Research Planning Fund Project of Ministry of Education,China.
文摘With the deterioration of the environment and the unbalanced relationship between man and nature,people are plagued by varieties of social problems and rising spiritual crises.This paper aims to analyze Thoreau’s characters in Walden and attempts to provide the implications for our contemporary life.Combined with Thoreau’s life experience and the background of Walden,the paper starts with the analysis of Thoreau’s characters from three aspects concerning his pursuit of inner serenity,search for true essence of life and abiding passion for life,which constitute his unique and independent characters and provide the enlightenment for contemporary life.We concluded that unique thoughts,attitudes,and spirit embedded in Thoreau’s characters are inextricably connected with our contemporary life.His personal experience and practice of solitary life at Walden Pond is a testimony to the necessity of closing to nature actively and confronting life passionately.
文摘It is a great honour to participate in this forum and share my research.The title of my presentation is Respecting Differences and Pursuing Transcendence:Léon Vandermeersch's Characters-Oriented Cross-Cultural China Studies.
基金Shanxi Provincial Universities Philosophy and Social Science Research Project(Ideological and Political Education Project)(2023zsszsx076)Shanxi Datong University Teaching Reform and Innovation Project(XJG2023202)Shanxi Datong University Ideological and Political Project(2022S10,2023S22,2023S33)。
文摘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.
