Since its publication in 1887,Arthur Conan Doyle’s A Study in Scarlet has become one of the most influential works in detective fiction worldwide,renowned for its innovative narrative techniques,compelling plot,and d...Since its publication in 1887,Arthur Conan Doyle’s A Study in Scarlet has become one of the most influential works in detective fiction worldwide,renowned for its innovative narrative techniques,compelling plot,and deep engagement with themes of justice and morality.The novel has seen 311 Chinese publications,among which two translations stand out:Xieluoke Qian Kaichan translated by Lin Shu and Wei Yi in late Qing dynasty in 1914 and Xuezi Yanjiu,transalted by Ding Zhonghu and Yuan Dihua in the Reform and Opening-up era in 1981.This study examines these two significant Chinese translations from a narrative theory perspective.Lin’s version employs classical allusions and imaginative language,frequently uses internal focalization to enhance reader involvement,incorporates rhetorical embellishments,and reinterprets speeches through adaptation to intensify emotional and plot dynamics.In contrast,Din’s translation adopts vernacular language complemented by explanatory notes to provide cultural context,maintains the original focalization patterns,favors direct translation of dialogues to preserve stylistic authenticity,and adheres closely to the linear narrative structure of the source text.This study not only describes the different translation strategies across two defining historical periods but also contributes to a deeper understanding of how narrative voice,cultural positioning,and reader engagement are negotiated in the translation of classic detective fiction.展开更多
This paper aims to examine the characterizational shift of C.Auguste Dupin in Edgar Allan Poe’s detective stories.First,Poe’s detective stories were written when the Enlightenment,which emphasizes Reason,was being e...This paper aims to examine the characterizational shift of C.Auguste Dupin in Edgar Allan Poe’s detective stories.First,Poe’s detective stories were written when the Enlightenment,which emphasizes Reason,was being embedded in the fabric of American culture.Meanwhile,beneath the Enlightenment was also an undercurrent of irrationality.In Poe’s“The Murders in the Rue Morgue”and“The Mystery of Marie Rogêt,”Dupin typifies a flat character standing for Reason/Good.However,in Poe’s“The Purloined Letter,”Dupin has been depicted as a round character;not only is he characterized a lot more vividly but also he bears striking resemblance to his opponent,Minister D.Namely,the dichotomous relationship between them has been erased,and Dupin has been portrayed more like a real person walking on the thin line between Good and Evil.Speaking of dissecting this characterizational shift of Dupin,I believe the key lies in the fact that Poe actually has taken an attitude of openness about Reason and Unreason,and that he has a way with opposing elements.In“The Murders in the Rue Morgue”and“The Mystery of Marie Rogêt,”Poe intends for Reason,represented by Dupin,to keep under control Unreason,represented by the criminals.In such a case,Dupin only needs to be a flat character representing Good/Reason.But in“The Purloined Letter,”Poe intends for Reason/Good and Unreason/Evil to be merged.Under such circumstances,Dupin will conveniently evolve into a round character.展开更多
Sherlock Holmes is a fictional detective created by Sir Arthur Conan Doyle, the Scottish author and physician. As a London-based "consulting detective" whose abilities border on the fantastic, Holmes is famo...Sherlock Holmes is a fictional detective created by Sir Arthur Conan Doyle, the Scottish author and physician. As a London-based "consulting detective" whose abilities border on the fantastic, Holmes is famous for his astute logical reasoning, his ability to adopt almost any disguise, and his use of forensic science skills to solve difficult cases. The paper tries to analyze the characteristics of the Holmes and how did Holmes observe evidences and analyze clues.展开更多
Compared with other kinds of fiction,detective story is a kind of fiction with different characteristics,it involves a process of thinking,analysis,inference,interaction.This passage mainly discusses detective story&#...Compared with other kinds of fiction,detective story is a kind of fiction with different characteristics,it involves a process of thinking,analysis,inference,interaction.This passage mainly discusses detective story's characteristics as a kind of intellectual game and reader's psychology during reading.展开更多
This paper,in the frame of Barthes and Foucault's ideas about the"Author",explores the complicated relationship between the author and reader by comparing the classical detective story,Edgar Allen Poe...This paper,in the frame of Barthes and Foucault's ideas about the"Author",explores the complicated relationship between the author and reader by comparing the classical detective story,Edgar Allen Poe's The Murder in the Rue Morgue,and the metaphysical detective story,Paul Auster'City of Glass and Umberto Eco's The Name of the Rose.These two stories investigate the perspectives;the story of crime and the story of investigation.展开更多
In Conan Doyle’s detective stories mainly including“The Resident Patient,”“The Gloria Scott,”“The Adventure of Blanched Soldier,”and“The Crooked Man,”featuring the master sleuth character Sherlock Holmes,he d...In Conan Doyle’s detective stories mainly including“The Resident Patient,”“The Gloria Scott,”“The Adventure of Blanched Soldier,”and“The Crooked Man,”featuring the master sleuth character Sherlock Holmes,he depicts the return of the colonials from British colonies,mostly India,with physically deformed or ravaged body and traumatic past that haunt and trouble his characters’present life.Doyle allegorically uses returned colonials or poor whites who turn into figures of retributive ghosts that function as pathetic memories and inner fears from British colonies.The seeing of ghostly figures and haunting past events delineated in these stories cause characters’sense of uncanny horror and remind them of their past trauma.These monstrous returned colonials or poor whites often create a fear and a social menace that must be appropriately dealt with when the master sleuth is commissioned to pin down the truth of client’s cases.Why are these bodies of ghostly figures so“irregular”and ravaged?What do these deformities signify?How can returned colonial’s or poor white’s traumatic past be related to retributive ghost?This paper attempts to probe into these issues in order to find out possible answers.展开更多
Sir Arthur Conan Doyle wrote many mystery and detective stories from 1890s to 1910s, years saw the advancement of powerful modem science and technology, especially inventions of transportation means or machines that a...Sir Arthur Conan Doyle wrote many mystery and detective stories from 1890s to 1910s, years saw the advancement of powerful modem science and technology, especially inventions of transportation means or machines that accelerate mobility power in late-Victorian and Edwardian society. In some of these mystery or detective stories especially featuring the well-known sleuth Sherlock Holmes, Doyle tended to integrate an early subject＇s experience of shrunken space and reduced time into an unknown fear by delineating his characters who perceive horror and nervousness while facing or riding on a railway transportation, including mainly the steam railway in mysterious tales like ＂The Lost Special＂ and ＂The Man with the Watches＂ as well as in detective stories like ＂The Adventure of the Engineer＇s Thumb＂, ＂The Adventure of Bruce-Partington Plan＂, ＂Valley of Fear＂ and several others. How can this spatiotemporal mobility be connected to mysterious affairs which lead Doyle＇s quasi-detective characters and police power to spring into investigative action？ Railway, mobility, and horror are woven together into a driving force that facilitates our geographical and forensic exploration of Doyle＇s stories.展开更多
Allan Poe has been deemed as the founder of modern detective story. This paper mainly talks about his contributions tomake this new genre a formal sub-genre of literature. Techniques he used in his short stories, lock...Allan Poe has been deemed as the founder of modern detective story. This paper mainly talks about his contributions tomake this new genre a formal sub-genre of literature. Techniques he used in his short stories, locked-room murder and the arm-chair detective, have become the classical conventions of detective story. The eccentric but brilliant protagonist, Auguste Dupin inhis story, has become a model of the later detectives. Poe has also contributed to define the detective story as some kind of intellec-tual game, the plot of which concentrates on the process of investigation.展开更多
Since 2000 A.D.,lots of translated detective novels have being published in Taiwan,China,which demonstrates that detective novel is popular in Taiwan,China,but there are seldom local detective novels to be published.T...Since 2000 A.D.,lots of translated detective novels have being published in Taiwan,China,which demonstrates that detective novel is popular in Taiwan,China,but there are seldom local detective novels to be published.Through the theory of field of cultural production by Pierre Bourdieu,the paper analyzed how the creators and cultural intermediaries’form of capitals and aesthetics construct the mechanism of the publishing industry,and how the market of detective novels in Taiwan,China are dominated by foreign products.The study adopted second documentary analysis and in-depth interview.The former is to calculate the published detective novels from 2001 to September 2015 sold in the dominant on-line bookstore,Books.com.tw,in Taiwan,China,while the latter is to interview 15 related agencies included writers,editors,translators,and a manager of bookstore.The results contain three following issues.Firstly,local production has re-started since 1980’s after a long-time decline.Considering the large cost to cultivate local writers,Taiwan region of China publishers prefer to produce well-known foreign works.Secondly,literary awards are the vital way in the production of local works.The writers receive symbolic capital through awards,and even obtain more opportunities to publish their works or cooperate with other related organization,which means the acquirement of social capital.Finally,the market of local detective novels is forced to be the field of restricted production as a result of supplanted by translated novels.As a consequence,the production of local detective novels becomes popular literature of niche market.展开更多
Despite of only producing five ratiocinative tales in the whole life,Edgar Allan Poe is acknowledged as the "father of the detective story".In those tales,Poe portrays the hero Dupin who is the first detecti...Despite of only producing five ratiocinative tales in the whole life,Edgar Allan Poe is acknowledged as the "father of the detective story".In those tales,Poe portrays the hero Dupin who is the first detective image in the history of the western literature vividly.Based on the stories in which Dupin appeared,concerns on the creation of Dupin,the analysis of his features and the function of the setting fellows,like friend and police,summarizing the traditional image pattern of detective stories created by Poe,revealing the great influence Poe had on the development of detective literature,even on the literature of the whole world.展开更多
Visible and infrared(RGB-IR)fusion object detection plays an important role in security,disaster relief,etc.In recent years,deep-learning-based RGB-IR fusion detection methods have been developing rapidly,but still st...Visible and infrared(RGB-IR)fusion object detection plays an important role in security,disaster relief,etc.In recent years,deep-learning-based RGB-IR fusion detection methods have been developing rapidly,but still struggle to deal with the complex and changing scenarios captured by drones,mainly due to two reasons:(A)RGB-IR fusion detectors are susceptible to inferior inputs that degrade performance and stability.(B)RGB-IR fusion detectors are susceptible to redundant features that reduce accuracy and efficiency.In this paper,an innovative RGB-IR fusion detection framework based on global-local feature optimization,named GLFDet,is proposed to improve the detection performance and efficiency of drone-captured objects.The key components of GLFDet include a Global Feature Optimization(GFO)module,a Local Feature Optimization(LFO)module and a Channel Separation Fusion(CSF)module.Specifically,GFO calculates the information content of the input image from the frequency domain and optimizes the features holistically.Then,LFO dynamically selects high-value features and filters out low-value features before fusion,which significantly improves the efficiency of fusion.Finally,CSF fuses the RGB and IR features across the corresponding channels,which avoids the rearrangement of the channel relationships and enhances the model stability.Extensive experimental results show that the proposed method achieves the best performance on three popular RGB-IR datasets Drone Vehicle,VEDAI,and LLVIP.In addition,GLFDet is more lightweight than other comparable models,making it more appealing to edge devices such as drones.The code is available at https://github.com/lao chen330/GLFDet.展开更多
Underwater pipeline inspection plays a vital role in the proactive maintenance and management of critical marine infrastructure and subaquatic systems.However,the inspection of underwater pipelines presents a challeng...Underwater pipeline inspection plays a vital role in the proactive maintenance and management of critical marine infrastructure and subaquatic systems.However,the inspection of underwater pipelines presents a challenge due to factors such as light scattering,absorption,restricted visibility,and ambient noise.The advancement of deep learning has introduced powerful techniques for processing large amounts of unstructured and imperfect data collected from underwater environments.This study evaluated the efficacy of the You Only Look Once(YOLO)algorithm,a real-time object detection and localization model based on convolutional neural networks,in identifying and classifying various types of pipeline defects in underwater settings.YOLOv8,the latest evolution in the YOLO family,integrates advanced capabilities,such as anchor-free detection,a cross-stage partial network backbone for efficient feature extraction,and a feature pyramid network+path aggregation network neck for robust multi-scale object detection,which make it particularly well-suited for complex underwater environments.Due to the lack of suitable open-access datasets for underwater pipeline defects,a custom dataset was captured using a remotely operated vehicle in a controlled environment.This application has the following assets available for use.Extensive experimentation demonstrated that YOLOv8 X-Large consistently outperformed other models in terms of pipe defect detection and classification and achieved a strong balance between precision and recall in identifying pipeline cracks,rust,corners,defective welds,flanges,tapes,and holes.This research establishes the baseline performance of YOLOv8 for underwater defect detection and showcases its potential to enhance the reliability and efficiency of pipeline inspection tasks in challenging underwater environments.展开更多
【Objective】This study aimed to establish a quintuple PCR method for rapid and simultaneous detection of Ralstonia solanacearum,Fusarium spp.,Pectobacterium spp.,Enterobacter spp.,and Pythium spp.,which provided tech...【Objective】This study aimed to establish a quintuple PCR method for rapid and simultaneous detection of Ralstonia solanacearum,Fusarium spp.,Pectobacterium spp.,Enterobacter spp.,and Pythium spp.,which provided technical support for early diagnosis of various soil-borne diseases on ginger.【Method】For five types of soil-borne pathogens causing ginger bacterial wilt and rhizome rot,specific primer combinations were designed and screened,the optimal quintuple reaction system was established by exploring optimal primer concentrations,annealing temperature,and sensitivity,and was applied to detect field plant samples to verify its utility.【Result】Specific primers pairs Rs1F/Rs1R,En1F/En1R,and Py1F/Py1R were designed according to flic gene of Ralstonia solanacearum,rpoB gene of Enterobacter spp.,and 18S rDNA of Pythium spp.,and combined with reported Fusarium spp.specific primers Fu3/Fu4 and specific primers 23SPecF/23SPecR of Pectobacterium spp.,a quintuple PCR reaction system for ginger soil-borne pathogens has been established(25.00μL):above primer dosage was 1.20,0.20,0.60,1.60,and 0.15μL respectively;2×PCR Mix 12.50μL;DNA templates of different pathogens were 1.00μL each;added ddH_(2)O to 25.00μL.Annealing temperature was optimized to 55.4℃.The specific fragments with sizes of 516,370,266,207,and 159 bp could be amplified simultaneously in the established quintuple PCR system,and the detection limit of this system for Ralstonia solanacearum,Enterobacter spp.and Pythium spp.reached 10^(-1)pg/μL,for Fusarium spp.and Pectobacterium spp.was 1 pg/μL,and for detecting five pathogens simultaneously was 10^(3)pg/μL.The multiplex PCR system established in this study could successfully detect the diseased plant samples from the field.【Conclusion】The quintuple PCR system established is able to rapid ly and accurately detect Ralstonia solanacearum,Fusarium spp.,Pectobacterium spp.,Enterobacter spp.,and Pythium spp.,which provides a useful tool for timely diagnosis and epidemic monitoring of various soil-borne diseases of ginger.展开更多
In this study,a multifunctional aptamer-conjugated magnetic covalent organic framework(COF)-CuO/Au nanozyme(MCOF-CuO/Au@apt)was developed as a“three-in-one”platform for dual-signal colorimetric and fluorescent detec...In this study,a multifunctional aptamer-conjugated magnetic covalent organic framework(COF)-CuO/Au nanozyme(MCOF-CuO/Au@apt)was developed as a“three-in-one”platform for dual-signal colorimetric and fluorescent detection of Vibrio parahaemolyticus.The nanozyme integrated magnetic separation,peroxidase-like catalytic activity,and specific target recognition through an aptamer-based strategy.Upon binding to V.parahaemolyticus,the catalytic oxidation of tetra-aminophenylethylene(TPE-4A)by the nanozyme was selectively inhibited,resulting in distinct colorimetric and fluorescent signals that significantly enhanced the detection accuracy and reliability.The proposed method exhibited high sensitivity,with limits of detection(LOD)of 21 and 7 CFU/mL for the colorimetric and fluorescent assays,respectively.The performance of this method was validated using real seafood samples,including Penaeus vannamei,Mytilus coruscus,and Crassostrea gigas,which showed high recovery rates(101.11%-107.30%)and excellent reproducibility.The system also demonstrated strong specificity and accuracy under various conditions,confirming its robustness and practical applicability.Collectively,this innovative platform presents a promising solution for the rapid,versatile,and sensitive detection of V.parahaemolyticus in seafood,with considerable potential to advance food safety diagnosis and on-site monitoring.展开更多
Diesel accounts for over 60%of the products derived from direct coal liquefaction(DCL).Compared to petroleum-based diesel,DCL diesel exhibits a cetane number ranging from 30 to 40,which fails to meet the automotive di...Diesel accounts for over 60%of the products derived from direct coal liquefaction(DCL).Compared to petroleum-based diesel,DCL diesel exhibits a cetane number ranging from 30 to 40,which fails to meet the automotive diesel standard requirement of≥45.Therefore,rapid and accurate analysis of its chemical composition is crucial for property optimization to meet fuel specifications by component blending.Thought traditional methods like gas chromatography offer high accuracy,they are unsuitable for rapid online analysis under industrial conditions.Near-infrared(NIR)spectroscopy can provide advantages in rapid,non-destructive analysis.Its application however,is limited by the complexity of spectral data interpretation.Machine learning(ML)is effective method for extracting valuable information from spectra and establishing high-precision prediction models.This study integrates NIR spectroscopy with ML to construct a spectral-composition database for DCL diesel.Feature extraction was performed using the correlation coefficient and mutual information methods to screen key wavelength variables and reduce data dimensionality.Subsequently,the predictive performance of three ML models—Lasso,SVR and XGBoost—was compared.Results indicate that excluding spectral data with absorbance greater than 1 significantly enhances model accuracy,increasing the test set R^(2) from 0.85 to 0.96.After feature extraction,the optimal number of wavelength variables was reduced to 177,substantially improving computational efficiency.Among the models evaluated,the SVR-MI-0.9 model,based on mutual information feature selection,demonstrated the best performance,achieving training and test set R^(2) values both exceeding 0.98.This model enables precise prediction of paraffin,naphthene,and aromatic hydrocarbon contents.This research provides a robust methodology for intelligent online quality monitoring.An intelligent NIR spectroscopy data analysis software was independently developed based on the established model.Compared with comprehensive two-dimensional gas chromatography,the software reduced the analysis time by over 98%,with an absolute prediction error below 0.2%.Thus,rapid analysis of DCL diesel components was successfully realized.展开更多
In the field of smart agriculture,accurate and efficient object detection technology is crucial for automated crop management.A particularly challenging task in this domain is small object detection,such as the identi...In the field of smart agriculture,accurate and efficient object detection technology is crucial for automated crop management.A particularly challenging task in this domain is small object detection,such as the identification of immature fruits or early stage disease spots.These objects pose significant difficulties due to their small pixel coverage,limited feature information,substantial scale variations,and high susceptibility to complex background interference.These challenges frequently result in inadequate accuracy and robustness in current detection models.This study addresses two critical needs in the cashew cultivation industry—fruitmaturity and anthracnose detection—by proposing an improved YOLOv11-NSDDil model.The method introduces three key technological innovations:(1)The SDDil module is designed and integrated into the backbone network.This module combines depthwise separable convolution with the SimAM attention mechanism to expand the receptive field and enhance contextual semantic capture at a low computational cost,effectively alleviating the feature deficiency problem caused by limited pixel coverage of small objects.Simultaneously,the SDmodule dynamically enhances discriminative features and suppresses background noise,significantly improving the model’s feature discrimination capability in complex environments;(2)The introduction of the DynamicScalSeq-Zoom_cat neck network,significantly improving multi-scale feature fusion;and(3)The optimization of the Minimum Point Distance Intersection over Union(MPDIoU)loss function,which enhances bounding box localization accuracy byminimizing vertex distance.Experimental results on a self-constructed cashew dataset containing 1123 images demonstrate significant performance improvements in the enhanced model:mAP50 reaches 0.825,a 4.6% increase compared to the originalYOLOv11;mAP50-95 improves to 0.624,a 6.5% increase;and recall rises to 0.777,a 2.4%increase.This provides a reliable technical solution for intelligent quality inspection of agricultural products and holds broad application prospects.展开更多
基金funded by 2025 Guangdong Provincial Project on Foreign Language Teaching Reform Research and Practice for Undergraduate Universities:Research on the AI-Assisted Teaching Model for Translation(grant number 25GWYB04).
文摘Since its publication in 1887,Arthur Conan Doyle’s A Study in Scarlet has become one of the most influential works in detective fiction worldwide,renowned for its innovative narrative techniques,compelling plot,and deep engagement with themes of justice and morality.The novel has seen 311 Chinese publications,among which two translations stand out:Xieluoke Qian Kaichan translated by Lin Shu and Wei Yi in late Qing dynasty in 1914 and Xuezi Yanjiu,transalted by Ding Zhonghu and Yuan Dihua in the Reform and Opening-up era in 1981.This study examines these two significant Chinese translations from a narrative theory perspective.Lin’s version employs classical allusions and imaginative language,frequently uses internal focalization to enhance reader involvement,incorporates rhetorical embellishments,and reinterprets speeches through adaptation to intensify emotional and plot dynamics.In contrast,Din’s translation adopts vernacular language complemented by explanatory notes to provide cultural context,maintains the original focalization patterns,favors direct translation of dialogues to preserve stylistic authenticity,and adheres closely to the linear narrative structure of the source text.This study not only describes the different translation strategies across two defining historical periods but also contributes to a deeper understanding of how narrative voice,cultural positioning,and reader engagement are negotiated in the translation of classic detective fiction.
文摘This paper aims to examine the characterizational shift of C.Auguste Dupin in Edgar Allan Poe’s detective stories.First,Poe’s detective stories were written when the Enlightenment,which emphasizes Reason,was being embedded in the fabric of American culture.Meanwhile,beneath the Enlightenment was also an undercurrent of irrationality.In Poe’s“The Murders in the Rue Morgue”and“The Mystery of Marie Rogêt,”Dupin typifies a flat character standing for Reason/Good.However,in Poe’s“The Purloined Letter,”Dupin has been depicted as a round character;not only is he characterized a lot more vividly but also he bears striking resemblance to his opponent,Minister D.Namely,the dichotomous relationship between them has been erased,and Dupin has been portrayed more like a real person walking on the thin line between Good and Evil.Speaking of dissecting this characterizational shift of Dupin,I believe the key lies in the fact that Poe actually has taken an attitude of openness about Reason and Unreason,and that he has a way with opposing elements.In“The Murders in the Rue Morgue”and“The Mystery of Marie Rogêt,”Poe intends for Reason,represented by Dupin,to keep under control Unreason,represented by the criminals.In such a case,Dupin only needs to be a flat character representing Good/Reason.But in“The Purloined Letter,”Poe intends for Reason/Good and Unreason/Evil to be merged.Under such circumstances,Dupin will conveniently evolve into a round character.
文摘Sherlock Holmes is a fictional detective created by Sir Arthur Conan Doyle, the Scottish author and physician. As a London-based "consulting detective" whose abilities border on the fantastic, Holmes is famous for his astute logical reasoning, his ability to adopt almost any disguise, and his use of forensic science skills to solve difficult cases. The paper tries to analyze the characteristics of the Holmes and how did Holmes observe evidences and analyze clues.
文摘Compared with other kinds of fiction,detective story is a kind of fiction with different characteristics,it involves a process of thinking,analysis,inference,interaction.This passage mainly discusses detective story's characteristics as a kind of intellectual game and reader's psychology during reading.
文摘This paper,in the frame of Barthes and Foucault's ideas about the"Author",explores the complicated relationship between the author and reader by comparing the classical detective story,Edgar Allen Poe's The Murder in the Rue Morgue,and the metaphysical detective story,Paul Auster'City of Glass and Umberto Eco's The Name of the Rose.These two stories investigate the perspectives;the story of crime and the story of investigation.
文摘In Conan Doyle’s detective stories mainly including“The Resident Patient,”“The Gloria Scott,”“The Adventure of Blanched Soldier,”and“The Crooked Man,”featuring the master sleuth character Sherlock Holmes,he depicts the return of the colonials from British colonies,mostly India,with physically deformed or ravaged body and traumatic past that haunt and trouble his characters’present life.Doyle allegorically uses returned colonials or poor whites who turn into figures of retributive ghosts that function as pathetic memories and inner fears from British colonies.The seeing of ghostly figures and haunting past events delineated in these stories cause characters’sense of uncanny horror and remind them of their past trauma.These monstrous returned colonials or poor whites often create a fear and a social menace that must be appropriately dealt with when the master sleuth is commissioned to pin down the truth of client’s cases.Why are these bodies of ghostly figures so“irregular”and ravaged?What do these deformities signify?How can returned colonial’s or poor white’s traumatic past be related to retributive ghost?This paper attempts to probe into these issues in order to find out possible answers.
文摘Sir Arthur Conan Doyle wrote many mystery and detective stories from 1890s to 1910s, years saw the advancement of powerful modem science and technology, especially inventions of transportation means or machines that accelerate mobility power in late-Victorian and Edwardian society. In some of these mystery or detective stories especially featuring the well-known sleuth Sherlock Holmes, Doyle tended to integrate an early subject＇s experience of shrunken space and reduced time into an unknown fear by delineating his characters who perceive horror and nervousness while facing or riding on a railway transportation, including mainly the steam railway in mysterious tales like ＂The Lost Special＂ and ＂The Man with the Watches＂ as well as in detective stories like ＂The Adventure of the Engineer＇s Thumb＂, ＂The Adventure of Bruce-Partington Plan＂, ＂Valley of Fear＂ and several others. How can this spatiotemporal mobility be connected to mysterious affairs which lead Doyle＇s quasi-detective characters and police power to spring into investigative action？ Railway, mobility, and horror are woven together into a driving force that facilitates our geographical and forensic exploration of Doyle＇s stories.
文摘Allan Poe has been deemed as the founder of modern detective story. This paper mainly talks about his contributions tomake this new genre a formal sub-genre of literature. Techniques he used in his short stories, locked-room murder and the arm-chair detective, have become the classical conventions of detective story. The eccentric but brilliant protagonist, Auguste Dupin inhis story, has become a model of the later detectives. Poe has also contributed to define the detective story as some kind of intellec-tual game, the plot of which concentrates on the process of investigation.
文摘Since 2000 A.D.,lots of translated detective novels have being published in Taiwan,China,which demonstrates that detective novel is popular in Taiwan,China,but there are seldom local detective novels to be published.Through the theory of field of cultural production by Pierre Bourdieu,the paper analyzed how the creators and cultural intermediaries’form of capitals and aesthetics construct the mechanism of the publishing industry,and how the market of detective novels in Taiwan,China are dominated by foreign products.The study adopted second documentary analysis and in-depth interview.The former is to calculate the published detective novels from 2001 to September 2015 sold in the dominant on-line bookstore,Books.com.tw,in Taiwan,China,while the latter is to interview 15 related agencies included writers,editors,translators,and a manager of bookstore.The results contain three following issues.Firstly,local production has re-started since 1980’s after a long-time decline.Considering the large cost to cultivate local writers,Taiwan region of China publishers prefer to produce well-known foreign works.Secondly,literary awards are the vital way in the production of local works.The writers receive symbolic capital through awards,and even obtain more opportunities to publish their works or cooperate with other related organization,which means the acquirement of social capital.Finally,the market of local detective novels is forced to be the field of restricted production as a result of supplanted by translated novels.As a consequence,the production of local detective novels becomes popular literature of niche market.
文摘Despite of only producing five ratiocinative tales in the whole life,Edgar Allan Poe is acknowledged as the "father of the detective story".In those tales,Poe portrays the hero Dupin who is the first detective image in the history of the western literature vividly.Based on the stories in which Dupin appeared,concerns on the creation of Dupin,the analysis of his features and the function of the setting fellows,like friend and police,summarizing the traditional image pattern of detective stories created by Poe,revealing the great influence Poe had on the development of detective literature,even on the literature of the whole world.
基金supported by the National Natural Science Foundation of China(No.62276204)the Fundamental Research Funds for the Central Universities,China(No.YJSJ24011)+1 种基金the Natural Science Basic Research Program of Shaanxi,China(Nos.2022JM-340 and 2023-JC-QN-0710)the China Postdoctoral Science Foundation(Nos.2020T130494 and 2018M633470)。
文摘Visible and infrared(RGB-IR)fusion object detection plays an important role in security,disaster relief,etc.In recent years,deep-learning-based RGB-IR fusion detection methods have been developing rapidly,but still struggle to deal with the complex and changing scenarios captured by drones,mainly due to two reasons:(A)RGB-IR fusion detectors are susceptible to inferior inputs that degrade performance and stability.(B)RGB-IR fusion detectors are susceptible to redundant features that reduce accuracy and efficiency.In this paper,an innovative RGB-IR fusion detection framework based on global-local feature optimization,named GLFDet,is proposed to improve the detection performance and efficiency of drone-captured objects.The key components of GLFDet include a Global Feature Optimization(GFO)module,a Local Feature Optimization(LFO)module and a Channel Separation Fusion(CSF)module.Specifically,GFO calculates the information content of the input image from the frequency domain and optimizes the features holistically.Then,LFO dynamically selects high-value features and filters out low-value features before fusion,which significantly improves the efficiency of fusion.Finally,CSF fuses the RGB and IR features across the corresponding channels,which avoids the rearrangement of the channel relationships and enhances the model stability.Extensive experimental results show that the proposed method achieves the best performance on three popular RGB-IR datasets Drone Vehicle,VEDAI,and LLVIP.In addition,GLFDet is more lightweight than other comparable models,making it more appealing to edge devices such as drones.The code is available at https://github.com/lao chen330/GLFDet.
文摘Underwater pipeline inspection plays a vital role in the proactive maintenance and management of critical marine infrastructure and subaquatic systems.However,the inspection of underwater pipelines presents a challenge due to factors such as light scattering,absorption,restricted visibility,and ambient noise.The advancement of deep learning has introduced powerful techniques for processing large amounts of unstructured and imperfect data collected from underwater environments.This study evaluated the efficacy of the You Only Look Once(YOLO)algorithm,a real-time object detection and localization model based on convolutional neural networks,in identifying and classifying various types of pipeline defects in underwater settings.YOLOv8,the latest evolution in the YOLO family,integrates advanced capabilities,such as anchor-free detection,a cross-stage partial network backbone for efficient feature extraction,and a feature pyramid network+path aggregation network neck for robust multi-scale object detection,which make it particularly well-suited for complex underwater environments.Due to the lack of suitable open-access datasets for underwater pipeline defects,a custom dataset was captured using a remotely operated vehicle in a controlled environment.This application has the following assets available for use.Extensive experimentation demonstrated that YOLOv8 X-Large consistently outperformed other models in terms of pipe defect detection and classification and achieved a strong balance between precision and recall in identifying pipeline cracks,rust,corners,defective welds,flanges,tapes,and holes.This research establishes the baseline performance of YOLOv8 for underwater defect detection and showcases its potential to enhance the reliability and efficiency of pipeline inspection tasks in challenging underwater environments.
基金National Natural Science Foundation of China(32270237)Guangxi Key Research and Development Plan Project(Guike AB21238002)Basic Scientific Research Project of Guangxi Academy of Agricultural Sciences(Guinongke 2024YP082)。
文摘【Objective】This study aimed to establish a quintuple PCR method for rapid and simultaneous detection of Ralstonia solanacearum,Fusarium spp.,Pectobacterium spp.,Enterobacter spp.,and Pythium spp.,which provided technical support for early diagnosis of various soil-borne diseases on ginger.【Method】For five types of soil-borne pathogens causing ginger bacterial wilt and rhizome rot,specific primer combinations were designed and screened,the optimal quintuple reaction system was established by exploring optimal primer concentrations,annealing temperature,and sensitivity,and was applied to detect field plant samples to verify its utility.【Result】Specific primers pairs Rs1F/Rs1R,En1F/En1R,and Py1F/Py1R were designed according to flic gene of Ralstonia solanacearum,rpoB gene of Enterobacter spp.,and 18S rDNA of Pythium spp.,and combined with reported Fusarium spp.specific primers Fu3/Fu4 and specific primers 23SPecF/23SPecR of Pectobacterium spp.,a quintuple PCR reaction system for ginger soil-borne pathogens has been established(25.00μL):above primer dosage was 1.20,0.20,0.60,1.60,and 0.15μL respectively;2×PCR Mix 12.50μL;DNA templates of different pathogens were 1.00μL each;added ddH_(2)O to 25.00μL.Annealing temperature was optimized to 55.4℃.The specific fragments with sizes of 516,370,266,207,and 159 bp could be amplified simultaneously in the established quintuple PCR system,and the detection limit of this system for Ralstonia solanacearum,Enterobacter spp.and Pythium spp.reached 10^(-1)pg/μL,for Fusarium spp.and Pectobacterium spp.was 1 pg/μL,and for detecting five pathogens simultaneously was 10^(3)pg/μL.The multiplex PCR system established in this study could successfully detect the diseased plant samples from the field.【Conclusion】The quintuple PCR system established is able to rapid ly and accurately detect Ralstonia solanacearum,Fusarium spp.,Pectobacterium spp.,Enterobacter spp.,and Pythium spp.,which provides a useful tool for timely diagnosis and epidemic monitoring of various soil-borne diseases of ginger.
文摘In this study,a multifunctional aptamer-conjugated magnetic covalent organic framework(COF)-CuO/Au nanozyme(MCOF-CuO/Au@apt)was developed as a“three-in-one”platform for dual-signal colorimetric and fluorescent detection of Vibrio parahaemolyticus.The nanozyme integrated magnetic separation,peroxidase-like catalytic activity,and specific target recognition through an aptamer-based strategy.Upon binding to V.parahaemolyticus,the catalytic oxidation of tetra-aminophenylethylene(TPE-4A)by the nanozyme was selectively inhibited,resulting in distinct colorimetric and fluorescent signals that significantly enhanced the detection accuracy and reliability.The proposed method exhibited high sensitivity,with limits of detection(LOD)of 21 and 7 CFU/mL for the colorimetric and fluorescent assays,respectively.The performance of this method was validated using real seafood samples,including Penaeus vannamei,Mytilus coruscus,and Crassostrea gigas,which showed high recovery rates(101.11%-107.30%)and excellent reproducibility.The system also demonstrated strong specificity and accuracy under various conditions,confirming its robustness and practical applicability.Collectively,this innovative platform presents a promising solution for the rapid,versatile,and sensitive detection of V.parahaemolyticus in seafood,with considerable potential to advance food safety diagnosis and on-site monitoring.
基金Supported by National Natural Science Foundation of China(U24B6018,22178243)。
文摘Diesel accounts for over 60%of the products derived from direct coal liquefaction(DCL).Compared to petroleum-based diesel,DCL diesel exhibits a cetane number ranging from 30 to 40,which fails to meet the automotive diesel standard requirement of≥45.Therefore,rapid and accurate analysis of its chemical composition is crucial for property optimization to meet fuel specifications by component blending.Thought traditional methods like gas chromatography offer high accuracy,they are unsuitable for rapid online analysis under industrial conditions.Near-infrared(NIR)spectroscopy can provide advantages in rapid,non-destructive analysis.Its application however,is limited by the complexity of spectral data interpretation.Machine learning(ML)is effective method for extracting valuable information from spectra and establishing high-precision prediction models.This study integrates NIR spectroscopy with ML to construct a spectral-composition database for DCL diesel.Feature extraction was performed using the correlation coefficient and mutual information methods to screen key wavelength variables and reduce data dimensionality.Subsequently,the predictive performance of three ML models—Lasso,SVR and XGBoost—was compared.Results indicate that excluding spectral data with absorbance greater than 1 significantly enhances model accuracy,increasing the test set R^(2) from 0.85 to 0.96.After feature extraction,the optimal number of wavelength variables was reduced to 177,substantially improving computational efficiency.Among the models evaluated,the SVR-MI-0.9 model,based on mutual information feature selection,demonstrated the best performance,achieving training and test set R^(2) values both exceeding 0.98.This model enables precise prediction of paraffin,naphthene,and aromatic hydrocarbon contents.This research provides a robust methodology for intelligent online quality monitoring.An intelligent NIR spectroscopy data analysis software was independently developed based on the established model.Compared with comprehensive two-dimensional gas chromatography,the software reduced the analysis time by over 98%,with an absolute prediction error below 0.2%.Thus,rapid analysis of DCL diesel components was successfully realized.
基金supported by Hebei North University Doctoral Research Fund Project(No.BSJJ202315)the Youth Research Fund Project of Higher Education Institutions in Hebei Province(No.QN2024146).
文摘In the field of smart agriculture,accurate and efficient object detection technology is crucial for automated crop management.A particularly challenging task in this domain is small object detection,such as the identification of immature fruits or early stage disease spots.These objects pose significant difficulties due to their small pixel coverage,limited feature information,substantial scale variations,and high susceptibility to complex background interference.These challenges frequently result in inadequate accuracy and robustness in current detection models.This study addresses two critical needs in the cashew cultivation industry—fruitmaturity and anthracnose detection—by proposing an improved YOLOv11-NSDDil model.The method introduces three key technological innovations:(1)The SDDil module is designed and integrated into the backbone network.This module combines depthwise separable convolution with the SimAM attention mechanism to expand the receptive field and enhance contextual semantic capture at a low computational cost,effectively alleviating the feature deficiency problem caused by limited pixel coverage of small objects.Simultaneously,the SDmodule dynamically enhances discriminative features and suppresses background noise,significantly improving the model’s feature discrimination capability in complex environments;(2)The introduction of the DynamicScalSeq-Zoom_cat neck network,significantly improving multi-scale feature fusion;and(3)The optimization of the Minimum Point Distance Intersection over Union(MPDIoU)loss function,which enhances bounding box localization accuracy byminimizing vertex distance.Experimental results on a self-constructed cashew dataset containing 1123 images demonstrate significant performance improvements in the enhanced model:mAP50 reaches 0.825,a 4.6% increase compared to the originalYOLOv11;mAP50-95 improves to 0.624,a 6.5% increase;and recall rises to 0.777,a 2.4%increase.This provides a reliable technical solution for intelligent quality inspection of agricultural products and holds broad application prospects.
