Screening gene function in vivo is a powerful approach to discover novel drug targets. We present high-throughput screening （HTS） data for 3 762 distinct global gene knockout （KO） mouse lines with viable adult hom...Screening gene function in vivo is a powerful approach to discover novel drug targets. We present high-throughput screening （HTS） data for 3 762 distinct global gene knockout （KO） mouse lines with viable adult homozygous mice generated using either gene-trap or homologous recombination technologies. Bone mass was determined from DEXA scans of male and female mice at 14 weeks of age and by microCT analyses of bones from male mice at 16 weeks of age. Wild-type （WT） cagemates/littermates were examined for each gene KO. Lethality was observed in an additional 850 KO lines. Since primary HTS are susceptible to false positive findings, additional cohorts of mice from KO lines with intriguing HTS bone data were examined. Aging, ovariectomy, histomorphometry and bone strength studies were performed and possible non-skeletal phenotypes were explored. Together, these screens identified multiple genes affecting bone mass： 23 previously reported genes （Calcr, Cebpb, Crtap, Dcstamp, Dkkl, Duoxa2, Enppl, Fgf23, Kissl/Kisslr, Kl （Klotho）, Lrp5, Mstn, Neol, Npr2, Ostml, Postn, Sfrp4, S1c30a5, Sic39a13, Sost, Sumf1, Src, Wnt10b）, five novel genes extensively characterized （Cldn18, Fam20c, Lrrkl, Sgpll, Wnt16）, five novel genes with preliminary characterization （Agpat2, RassfS, Slc10a7, Stc26a7, Slc30a10） and three novel undisclosed genes coding for potential osteoporosis drug targets.展开更多
Gene expression profiling at early stages(0～2 DPA) of fiber development in Gossypium hirsutum identified a number of transcription factors which were down regulated in fiberless mutants relative to wild type controls...Gene expression profiling at early stages(0～2 DPA) of fiber development in Gossypium hirsutum identified a number of transcription factors which were down regulated in fiberless mutants relative to wild type controls and which could play a role in controlling early fiber development.Chief among these was GhMYB25,a Mixta-like MYB gene.Transgenic GhMYB25-silenced cotton展开更多
Tooth development is a complex process that involves precise and time-dependent orchestration of multiple genetic, molecular,and cellular interactions. Ameloblastin(AMBN, also named "amelin" or "sheathl...Tooth development is a complex process that involves precise and time-dependent orchestration of multiple genetic, molecular,and cellular interactions. Ameloblastin(AMBN, also named "amelin" or "sheathlin") is the second most abundant enamel matrix protein known to have a key role in amelogenesis. Amelogenesis imperfecta(AI [MIM: 104500]) refers to a genetically and phenotypically heterogeneous group of conditions characterized by inherited developmental enamel defects. The hereditary dentin disorders comprise a variety of autosomal-dominant genetic symptoms characterized by abnormal dentin structure affecting either the primary or both the primary and secondary teeth. The vital role of Ambn in amelogenesis has been confirmed experimentally using mouse models. Only two cases have been reported of mutations of AMBN associated with non-syndromic human AI. However, no AMBN missense mutations have been reported to be associated with both human AI and dentin disorders.We recruited one kindred with autosomal-dominant amelogenesis imperfecta(ADAI) and dentinogenesis imperfecta/dysplasia characterized by generalized severe enamel and dentin defects. Whole exome sequencing of the proband identified a novel heterozygous C-T point mutation at nucleotide position 1069 of the AMBN gene, causing a Pro to Ser mutation at the conserved amino acid position 357 of the protein. Exfoliated third molar teeth from the affected family members were found to have enamel and dentin of lower mineral density than control teeth, with thinner and easily fractured enamel, short and thick roots, and pulp obliteration. This study demonstrates, for the first time, that an AMBN missense mutation causes non-syndromic human AI and dentin disorders.展开更多
Cancer stem cells (CSCs) are largely responsible for the formation of tumor heterogeneity and tumor’s resistance to traditional treatments such as chemotherapy due to its self-renew capability and multi-lineage diffe...Cancer stem cells (CSCs) are largely responsible for the formation of tumor heterogeneity and tumor’s resistance to traditional treatments such as chemotherapy due to its self-renew capability and multi-lineage differentiation potential (1)However, it remains elusive how the CSCs maintain their stemness, thus restricting the development of therapeutic treatments specifically targeting the CSCs.展开更多
NEW YORK-Global hotel ma rkets are expected to continue to feel pressu re from contracting economies and reduced leisure and business travel across much of the world in 2009.However,despite declines across most major ...NEW YORK-Global hotel ma rkets are expected to continue to feel pressu re from contracting economies and reduced leisure and business travel across much of the world in 2009.However,despite declines across most major regions of the world in 2008, operating performance in the global展开更多
In order to identify the tilt direction of the self-mixing signals under weak feedback regime interfered by noise,a deep learning method is proposed.The one-dimensional U-Net(1D U-Net)neural network can identify the d...In order to identify the tilt direction of the self-mixing signals under weak feedback regime interfered by noise,a deep learning method is proposed.The one-dimensional U-Net(1D U-Net)neural network can identify the direction of the self-mixing fringes accurately and quickly.In the process of measurement,the measurement signal can be normalized and then the neural network can be used to discriminate the direction.Simulation and experimental results show that the proposed method is suitable for self-mixing interference signals with noise in the whole weak feedback regime,and can maintain a high discrimination accuracy for signals interfered by 5 dB large noise.Combined with fringe counting method,accurate and rapid displacement reconstruction can be realized.展开更多
Patients with cheiro-oral syndrome(COS) often present with minor perioral and upper extremity sensory disturbances,which can be easily overlooked in busy emergency departments(EDs).^([1]) COS,a rare spectrum of stroke...Patients with cheiro-oral syndrome(COS) often present with minor perioral and upper extremity sensory disturbances,which can be easily overlooked in busy emergency departments(EDs).^([1]) COS,a rare spectrum of stroke syndromes,necessitates expeditious and aggressive modification of risk factors.展开更多
Purpose:To describe the characteristics of research outputs using persistent identifiers generated by ResearchGate to gain insight into what publications are shared and disseminated through this functionality,revealin...Purpose:To describe the characteristics of research outputs using persistent identifiers generated by ResearchGate to gain insight into what publications are shared and disseminated through this functionality,revealing their academic and non-academic impact.Design/methodology/approach:A total of 1,092,934 RG-DOIs were collected,using the DataCite API,along with bibliographic metadata for the associated registered output(RG-DOI publications).The subsequent analysis evaluated the publication date,document type,and language.These values were crossreferenced against the full text of a random sample of 666 records to verify accuracy.Findings:RG-DOIs have served primarily to identify and make accessible scholarly gray literature,including posters,presentations,conference papers,and theses,with notable emphasis on publications in Spanish and Portuguese.Around 41,000 citations from Web of Science indexed publications to RG publications are evidence of their infrequent but perceptible use in scholarly discourse.The declining number of registrations of RG-DOIs observed may indicate a shift in researcher preferences to alternative platforms for DOI generation.Research limitations:The study uncovered substantial inconsistencies in DataCite metadata,which can be attributed to the automated DOI registration process and internal changes in the available document types on ResearchGate.Practical implications:The study encountered challenges in conducting a quantitative analysis due to inconsistencies in the metadata.These have potential implications for researchers,practitioners,and librarians relying on RG-DOIs to conduct bibliometric or bibliographic analysis.Originality/value:This study is the first comprehensive analysis of RG-DOIs and,as such,provides a unique perspective into academic gray literature.It also sheds light on the quality of ResearchGate data transmitted to DataCite when registering DOIs.展开更多
TarGuess-I is a leading model utilizing Personally Identifiable Information for online targeted password guessing.Due to its remarkable guessing performance,the model has drawn considerable attention in password secur...TarGuess-I is a leading model utilizing Personally Identifiable Information for online targeted password guessing.Due to its remarkable guessing performance,the model has drawn considerable attention in password security research.However,through an analysis of the vulnerable behavior of users when constructing passwords by combining popular passwords with their Personally Identifiable Information,we identified that the model fails to consider popular passwords and frequent substrings,and it uses overly broad personal information categories,with extensive duplicate statistics.To address these issues,we propose an improved password guessing model,TGI-FPR,which incorporates three semantic methods:(1)identification of popular passwords by generating top 300 lists from similar websites,(2)use of frequent substrings as new grammatical labels to capture finer-grained password structures,and(3)further subdivision of the six major categories of personal information.To evaluate the performance of the proposed model,we conducted experiments on six large-scale real-world password leak datasets and compared its accuracy within the first 100 guesses to that of TarGuess-I.The results indicate a 2.65%improvement in guessing accuracy.展开更多
The analysis of the ejaculate,better known as spermiogram,represents the first and main step to identify whether a series of sperm quality parameters are within the norm and therefore are consistent with normal sperm ...The analysis of the ejaculate,better known as spermiogram,represents the first and main step to identify whether a series of sperm quality parameters are within the norm and therefore are consistent with normal sperm fertilizing capacity.Among these,sperm concentration and motility are the first parameters to be evaluated through an estimation carried out by expert examiners.展开更多
Metal-organic frameworks(MOFs)have garnered widespread attention due to their designability and diversity[1].Customization has always been a pursuit of chemists and materials scientists[2].Topology provides a means of...Metal-organic frameworks(MOFs)have garnered widespread attention due to their designability and diversity[1].Customization has always been a pursuit of chemists and materials scientists[2].Topology provides a means of abstracting the complex structures of MOFs by identifying and classifying the fundamental building units and connection patterns,simplifying the understanding of MOF structures[3].展开更多
Smart grid substation operations often take place in hazardous environments and pose significant threats to the safety of power personnel.Relying solely on manual supervision can lead to inadequate oversight.In respon...Smart grid substation operations often take place in hazardous environments and pose significant threats to the safety of power personnel.Relying solely on manual supervision can lead to inadequate oversight.In response to the demand for technology to identify improper operations in substation work scenarios,this paper proposes a substation safety action recognition technology to avoid the misoperation and enhance the safety management.In general,this paper utilizes a dual-branch transformer network to extract spatial and temporal information from the video dataset of operational behaviors in complex substation environments.Firstly,in order to capture the spatial-temporal correlation of people's behaviors in smart grid substation,we devise a sparse attention module and a segmented linear attention module that are embedded into spatial branch transformer and temporal branch transformer respectively.To avoid the redundancy of spatial and temporal information,we fuse the temporal and spatial features using a tensor decomposition fusion module by a decoupled manner.Experimental results indicate that our proposed method accurately detects improper operational behaviors in substation work scenarios,outperforming other existing methods in terms of detection and recognition accuracy.展开更多
The Chinese government promotes smoking cessation through smoking cessation clinics(SCCs).This study aimed to identify factors associated with relapse and provide evidence to inform interventions that reduce relapse r...The Chinese government promotes smoking cessation through smoking cessation clinics(SCCs).This study aimed to identify factors associated with relapse and provide evidence to inform interventions that reduce relapse risk.Participants were SCC patients aged≥18 years who enrolled between June 2019 and December 2021,completed follow-up assessments at one and three months,and reported abstinence at one month.Short-term relapse was defined as self-reported smoking at the three-month follow-up.Treatments included counseling,first-line cessation medications,and traditional Chinese medicine(TCM).Logistic regression was used to identify factors associated with short-term relapse.Among 10,724 eligible SCC patients,11.6%experienced short-term relapse.Factors positively associated with relapse included the number of previous quit attempts(1–5 attempts:OR=1.422,95%CI:1.254–1.613,>5 attempts:OR=1.382,95%CI:1.057–1.808),high perceived difficulty in quitting(OR=1.297,95%CI:1.061–1.586),and moderate(OR=1.383,95%CI:1.174–1.629)or weak(OR=1.517,95%CI:1.251–1.841)willingness to quit.Factors negatively associated with relapse included having a college degree or higher(OR=0.796;95%CI:0.650–0.973),high confidence in quitting(OR=0.786;95%CI:0.629–0.983),and use of TCM(OR=0.276;95%CI:0.158–0.482).Enhancing self-efficacy in quitting appears crucial for preventing short-term relapse.The use of TCM may reduce relapse risk and warrants further investigation.展开更多
Clarifying the system structure of various influencing factors is a crucial prerequisite for identifying the key action point to address the“Energy Trilemma”in China’s natural gas industry.Based on the three-dimens...Clarifying the system structure of various influencing factors is a crucial prerequisite for identifying the key action point to address the“Energy Trilemma”in China’s natural gas industry.Based on the three-dimensional system of“safety and stability-economic feasibility-low-carbon and environmental protection,”an influencing factor system for the“Energy Trilemma”in the natural gas industry is constructed.展开更多
Heading date is one of the most important agronomic traits that directly affect rice yield and determines the regional adaptability in specific growing environments.As a short-day plant,rice can grow under long-day(LD...Heading date is one of the most important agronomic traits that directly affect rice yield and determines the regional adaptability in specific growing environments.As a short-day plant,rice can grow under long-day(LD)conditions due to the synergistic regulation of many photosensitive genes.Using a set of chromosome segment substitution lines(CSSLs)with the indica cultivar Huanghuazhan(HHZ)as the recipient parent and Basmati Surkh 89-15(BAS)as the donor parent,we identified a QTL locus.展开更多
0 INTRODUCTION Initial subduction involves the complex process of oceanic lithosphere first inserting beneath oceanic or continental lithosphere(Chen et al.,2024;Yang et al.,2022;Stern and Gerya,2018).The modern Izu-B...0 INTRODUCTION Initial subduction involves the complex process of oceanic lithosphere first inserting beneath oceanic or continental lithosphere(Chen et al.,2024;Yang et al.,2022;Stern and Gerya,2018).The modern Izu-Bonin-Mariana(IBM)initial subduction system suggests that identifying the earliest ophiolites,arc igneous and metamorphic complexes(e.g.,blueschist,eclogites)can reconstruct ancient initial subduction systems(Yao et al.,2021;Ishizuka et al.,2011).However,knowledge of ancient subduction initiation is often limited due to poor exposures of rocks formed during the earliest stages of subduction(Chen et al.,2024;Cawood et al.,2009).展开更多
AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to i...AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to identify drug targets,screen and optimize active compounds,analyze drug properties,and facilitate drug production and quality control.展开更多
AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to i...AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to identify drug targets,screen and optimize active compounds,analyze drug properties,and facilitate drug production and quality control.On this basis,we organized this special issue entitled"Innovative Pharmaceutical Research Driven by AI",and collected Original research articles,Reviewpapers.展开更多
文摘Screening gene function in vivo is a powerful approach to discover novel drug targets. We present high-throughput screening （HTS） data for 3 762 distinct global gene knockout （KO） mouse lines with viable adult homozygous mice generated using either gene-trap or homologous recombination technologies. Bone mass was determined from DEXA scans of male and female mice at 14 weeks of age and by microCT analyses of bones from male mice at 16 weeks of age. Wild-type （WT） cagemates/littermates were examined for each gene KO. Lethality was observed in an additional 850 KO lines. Since primary HTS are susceptible to false positive findings, additional cohorts of mice from KO lines with intriguing HTS bone data were examined. Aging, ovariectomy, histomorphometry and bone strength studies were performed and possible non-skeletal phenotypes were explored. Together, these screens identified multiple genes affecting bone mass： 23 previously reported genes （Calcr, Cebpb, Crtap, Dcstamp, Dkkl, Duoxa2, Enppl, Fgf23, Kissl/Kisslr, Kl （Klotho）, Lrp5, Mstn, Neol, Npr2, Ostml, Postn, Sfrp4, S1c30a5, Sic39a13, Sost, Sumf1, Src, Wnt10b）, five novel genes extensively characterized （Cldn18, Fam20c, Lrrkl, Sgpll, Wnt16）, five novel genes with preliminary characterization （Agpat2, RassfS, Slc10a7, Stc26a7, Slc30a10） and three novel undisclosed genes coding for potential osteoporosis drug targets.
文摘Gene expression profiling at early stages(0～2 DPA) of fiber development in Gossypium hirsutum identified a number of transcription factors which were down regulated in fiberless mutants relative to wild type controls and which could play a role in controlling early fiber development.Chief among these was GhMYB25,a Mixta-like MYB gene.Transgenic GhMYB25-silenced cotton
基金partially supported by a grant from the National Natural Science Foundation of China 31371279 (to Fu Xiong)the National Natural Science Foundation of China 81371137 (to Bu-Ling Wu)the Science and Technology Program of Guangzhou 201707010301 (to Fu Xiong)
文摘Tooth development is a complex process that involves precise and time-dependent orchestration of multiple genetic, molecular,and cellular interactions. Ameloblastin(AMBN, also named "amelin" or "sheathlin") is the second most abundant enamel matrix protein known to have a key role in amelogenesis. Amelogenesis imperfecta(AI [MIM: 104500]) refers to a genetically and phenotypically heterogeneous group of conditions characterized by inherited developmental enamel defects. The hereditary dentin disorders comprise a variety of autosomal-dominant genetic symptoms characterized by abnormal dentin structure affecting either the primary or both the primary and secondary teeth. The vital role of Ambn in amelogenesis has been confirmed experimentally using mouse models. Only two cases have been reported of mutations of AMBN associated with non-syndromic human AI. However, no AMBN missense mutations have been reported to be associated with both human AI and dentin disorders.We recruited one kindred with autosomal-dominant amelogenesis imperfecta(ADAI) and dentinogenesis imperfecta/dysplasia characterized by generalized severe enamel and dentin defects. Whole exome sequencing of the proband identified a novel heterozygous C-T point mutation at nucleotide position 1069 of the AMBN gene, causing a Pro to Ser mutation at the conserved amino acid position 357 of the protein. Exfoliated third molar teeth from the affected family members were found to have enamel and dentin of lower mineral density than control teeth, with thinner and easily fractured enamel, short and thick roots, and pulp obliteration. This study demonstrates, for the first time, that an AMBN missense mutation causes non-syndromic human AI and dentin disorders.
基金supported by National Key Scientific Program of China (2016YFA0100502 to X.S.)the National Natural Science Foundation of China (81701765 to J.C.)Anhui Provincial Natural Science Foundation (1808085MH295 to J.C.)
文摘Cancer stem cells (CSCs) are largely responsible for the formation of tumor heterogeneity and tumor’s resistance to traditional treatments such as chemotherapy due to its self-renew capability and multi-lineage differentiation potential (1)However, it remains elusive how the CSCs maintain their stemness, thus restricting the development of therapeutic treatments specifically targeting the CSCs.
文摘NEW YORK-Global hotel ma rkets are expected to continue to feel pressu re from contracting economies and reduced leisure and business travel across much of the world in 2009.However,despite declines across most major regions of the world in 2008, operating performance in the global
文摘In order to identify the tilt direction of the self-mixing signals under weak feedback regime interfered by noise,a deep learning method is proposed.The one-dimensional U-Net(1D U-Net)neural network can identify the direction of the self-mixing fringes accurately and quickly.In the process of measurement,the measurement signal can be normalized and then the neural network can be used to discriminate the direction.Simulation and experimental results show that the proposed method is suitable for self-mixing interference signals with noise in the whole weak feedback regime,and can maintain a high discrimination accuracy for signals interfered by 5 dB large noise.Combined with fringe counting method,accurate and rapid displacement reconstruction can be realized.
文摘Patients with cheiro-oral syndrome(COS) often present with minor perioral and upper extremity sensory disturbances,which can be easily overlooked in busy emergency departments(EDs).^([1]) COS,a rare spectrum of stroke syndromes,necessitates expeditious and aggressive modification of risk factors.
基金supported by Grant PID2022-142569NA-I00,funded by MCIN/AEI/10.13039/501100011033 and by the European Union through“ERDF A way of making Europe.”。
文摘Purpose:To describe the characteristics of research outputs using persistent identifiers generated by ResearchGate to gain insight into what publications are shared and disseminated through this functionality,revealing their academic and non-academic impact.Design/methodology/approach:A total of 1,092,934 RG-DOIs were collected,using the DataCite API,along with bibliographic metadata for the associated registered output(RG-DOI publications).The subsequent analysis evaluated the publication date,document type,and language.These values were crossreferenced against the full text of a random sample of 666 records to verify accuracy.Findings:RG-DOIs have served primarily to identify and make accessible scholarly gray literature,including posters,presentations,conference papers,and theses,with notable emphasis on publications in Spanish and Portuguese.Around 41,000 citations from Web of Science indexed publications to RG publications are evidence of their infrequent but perceptible use in scholarly discourse.The declining number of registrations of RG-DOIs observed may indicate a shift in researcher preferences to alternative platforms for DOI generation.Research limitations:The study uncovered substantial inconsistencies in DataCite metadata,which can be attributed to the automated DOI registration process and internal changes in the available document types on ResearchGate.Practical implications:The study encountered challenges in conducting a quantitative analysis due to inconsistencies in the metadata.These have potential implications for researchers,practitioners,and librarians relying on RG-DOIs to conduct bibliometric or bibliographic analysis.Originality/value:This study is the first comprehensive analysis of RG-DOIs and,as such,provides a unique perspective into academic gray literature.It also sheds light on the quality of ResearchGate data transmitted to DataCite when registering DOIs.
基金supported by the Joint Funds of National Natural Science Foundation of China(Grant No.U23A20304)the Fund of Laboratory for Advanced Computing and Intelligence Engineering(No.2023-LYJJ-01-033)+1 种基金the Special Funds of Jiangsu Province Science and Technology Plan(Key R&D ProgramIndustryOutlook and Core Technologies)(No.BE2023005-4)the Science Project of Hainan University(KYQD(ZR)-21075).
文摘TarGuess-I is a leading model utilizing Personally Identifiable Information for online targeted password guessing.Due to its remarkable guessing performance,the model has drawn considerable attention in password security research.However,through an analysis of the vulnerable behavior of users when constructing passwords by combining popular passwords with their Personally Identifiable Information,we identified that the model fails to consider popular passwords and frequent substrings,and it uses overly broad personal information categories,with extensive duplicate statistics.To address these issues,we propose an improved password guessing model,TGI-FPR,which incorporates three semantic methods:(1)identification of popular passwords by generating top 300 lists from similar websites,(2)use of frequent substrings as new grammatical labels to capture finer-grained password structures,and(3)further subdivision of the six major categories of personal information.To evaluate the performance of the proposed model,we conducted experiments on six large-scale real-world password leak datasets and compared its accuracy within the first 100 guesses to that of TarGuess-I.The results indicate a 2.65%improvement in guessing accuracy.
文摘The analysis of the ejaculate,better known as spermiogram,represents the first and main step to identify whether a series of sperm quality parameters are within the norm and therefore are consistent with normal sperm fertilizing capacity.Among these,sperm concentration and motility are the first parameters to be evaluated through an estimation carried out by expert examiners.
基金supported by the National Natural Science Foundation of China(22101039,22471027,22311530679)the Science Fund for Creative Research Groups of the National Natural Science Foundation of China(22021005)the Fundamental Research Funds for the Central Universities(DUT24LK004).
文摘Metal-organic frameworks(MOFs)have garnered widespread attention due to their designability and diversity[1].Customization has always been a pursuit of chemists and materials scientists[2].Topology provides a means of abstracting the complex structures of MOFs by identifying and classifying the fundamental building units and connection patterns,simplifying the understanding of MOF structures[3].
文摘Smart grid substation operations often take place in hazardous environments and pose significant threats to the safety of power personnel.Relying solely on manual supervision can lead to inadequate oversight.In response to the demand for technology to identify improper operations in substation work scenarios,this paper proposes a substation safety action recognition technology to avoid the misoperation and enhance the safety management.In general,this paper utilizes a dual-branch transformer network to extract spatial and temporal information from the video dataset of operational behaviors in complex substation environments.Firstly,in order to capture the spatial-temporal correlation of people's behaviors in smart grid substation,we devise a sparse attention module and a segmented linear attention module that are embedded into spatial branch transformer and temporal branch transformer respectively.To avoid the redundancy of spatial and temporal information,we fuse the temporal and spatial features using a tensor decomposition fusion module by a decoupled manner.Experimental results indicate that our proposed method accurately detects improper operational behaviors in substation work scenarios,outperforming other existing methods in terms of detection and recognition accuracy.
文摘The Chinese government promotes smoking cessation through smoking cessation clinics(SCCs).This study aimed to identify factors associated with relapse and provide evidence to inform interventions that reduce relapse risk.Participants were SCC patients aged≥18 years who enrolled between June 2019 and December 2021,completed follow-up assessments at one and three months,and reported abstinence at one month.Short-term relapse was defined as self-reported smoking at the three-month follow-up.Treatments included counseling,first-line cessation medications,and traditional Chinese medicine(TCM).Logistic regression was used to identify factors associated with short-term relapse.Among 10,724 eligible SCC patients,11.6%experienced short-term relapse.Factors positively associated with relapse included the number of previous quit attempts(1–5 attempts:OR=1.422,95%CI:1.254–1.613,>5 attempts:OR=1.382,95%CI:1.057–1.808),high perceived difficulty in quitting(OR=1.297,95%CI:1.061–1.586),and moderate(OR=1.383,95%CI:1.174–1.629)or weak(OR=1.517,95%CI:1.251–1.841)willingness to quit.Factors negatively associated with relapse included having a college degree or higher(OR=0.796;95%CI:0.650–0.973),high confidence in quitting(OR=0.786;95%CI:0.629–0.983),and use of TCM(OR=0.276;95%CI:0.158–0.482).Enhancing self-efficacy in quitting appears crucial for preventing short-term relapse.The use of TCM may reduce relapse risk and warrants further investigation.
基金Western Project of the National Social Science Fund of China (22XGL019)Major Project of the National Social Science Fund of China (22&ZD105)+1 种基金Special Academic Research Grant at the Key Research Base of Philosophy and Social Sciences in Sichuan Province (SC24E091)Chengdu Philosophy and Social Science Planning Project 2024 (2024BS072)。
文摘Clarifying the system structure of various influencing factors is a crucial prerequisite for identifying the key action point to address the“Energy Trilemma”in China’s natural gas industry.Based on the three-dimensional system of“safety and stability-economic feasibility-low-carbon and environmental protection,”an influencing factor system for the“Energy Trilemma”in the natural gas industry is constructed.
基金supported by the Zhejiang Provincial Natural Science Foundation of China(Grant Nos.LZ24C130004 and LQ24C130008)。
文摘Heading date is one of the most important agronomic traits that directly affect rice yield and determines the regional adaptability in specific growing environments.As a short-day plant,rice can grow under long-day(LD)conditions due to the synergistic regulation of many photosensitive genes.Using a set of chromosome segment substitution lines(CSSLs)with the indica cultivar Huanghuazhan(HHZ)as the recipient parent and Basmati Surkh 89-15(BAS)as the donor parent,we identified a QTL locus.
基金supported by the special fund of the State Key Laboratory of Deep Earth and Mineral Exploration(No.KFDM2025203)the Natural Science Foundation of Liaoning Province(No.2025-MS-037)+2 种基金the National Natural Science Foundation of China(No.41972234)support provided by the China Scholarship Council(No.202306080045)the Geological Society Research Grants-Mike Coward Fund.
文摘0 INTRODUCTION Initial subduction involves the complex process of oceanic lithosphere first inserting beneath oceanic or continental lithosphere(Chen et al.,2024;Yang et al.,2022;Stern and Gerya,2018).The modern Izu-Bonin-Mariana(IBM)initial subduction system suggests that identifying the earliest ophiolites,arc igneous and metamorphic complexes(e.g.,blueschist,eclogites)can reconstruct ancient initial subduction systems(Yao et al.,2021;Ishizuka et al.,2011).However,knowledge of ancient subduction initiation is often limited due to poor exposures of rocks formed during the earliest stages of subduction(Chen et al.,2024;Cawood et al.,2009).
文摘AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to identify drug targets,screen and optimize active compounds,analyze drug properties,and facilitate drug production and quality control.
文摘AI is revolutionizing the current paradigm of pharmaceutical research,addressing the challenges encountered at all stages of the process.AI driven drug discovery is based on biomedical big data and new algorithms to identify drug targets,screen and optimize active compounds,analyze drug properties,and facilitate drug production and quality control.On this basis,we organized this special issue entitled"Innovative Pharmaceutical Research Driven by AI",and collected Original research articles,Reviewpapers.
