AIM To prospectively evaluate the efficacy of submucosal injection of platelet-rich plasma(PRP) on endoscopic resection of large sessile lesions.METHODS Eleven patients were submitted to endoscopic mucosal resection(E...AIM To prospectively evaluate the efficacy of submucosal injection of platelet-rich plasma(PRP) on endoscopic resection of large sessile lesions.METHODS Eleven patients were submitted to endoscopic mucosal resection(EMR) with prior injection of PRP, obtained at the time of endoscopy. Patients were followed during 1 mo. The incidence of adverse events(delayed bleeding or perforation) and the percentage of mucosal healing(MHR) after 4 wk were registered. RESULTS EMR was performed in 11 lesions(46.4 mm ± 4 mm, range 40-70 mm). Delayed bleeding or perforation was not observed in any patient. Mean ulcerated area atbaseline was 22.7 cm^2 ± 11.7 cm^2 whereas at week 4 were 2.9 cm^2 ± 1.5 cm^2. Patients treated with PRP showed a very high MHR after 4 wk(87.5%). CONCLUSION PRP is an easy-to-obtain solution with proven and favourable biological activities that could be used in advanced endoscopic resection.展开更多
Large Language Models (LLMs) have revolutionized Generative Artificial Intelligence (GenAI) tasks, becoming an integral part of various applications in society, including text generation, translation, summarization, a...Large Language Models (LLMs) have revolutionized Generative Artificial Intelligence (GenAI) tasks, becoming an integral part of various applications in society, including text generation, translation, summarization, and more. However, their widespread usage emphasizes the critical need to enhance their security posture to ensure the integrity and reliability of their outputs and minimize harmful effects. Prompt injections and training data poisoning attacks are two of the most prominent vulnerabilities in LLMs, which could potentially lead to unpredictable and undesirable behaviors, such as biased outputs, misinformation propagation, and even malicious content generation. The Common Vulnerability Scoring System (CVSS) framework provides a standardized approach to capturing the principal characteristics of vulnerabilities, facilitating a deeper understanding of their severity within the security and AI communities. By extending the current CVSS framework, we generate scores for these vulnerabilities such that organizations can prioritize mitigation efforts, allocate resources effectively, and implement targeted security measures to defend against potential risks.展开更多
This paper introduces a novel multi-tiered defense architecture to protect language models from adversarial prompt attacks. We construct adversarial prompts using strategies like role emulation and manipulative assist...This paper introduces a novel multi-tiered defense architecture to protect language models from adversarial prompt attacks. We construct adversarial prompts using strategies like role emulation and manipulative assistance to simulate real threats. We introduce a comprehensive, multi-tiered defense framework named GUARDIAN (Guardrails for Upholding Ethics in Language Models) comprising a system prompt filter, pre-processing filter leveraging a toxic classifier and ethical prompt generator, and pre-display filter using the model itself for output screening. Extensive testing on Meta’s Llama-2 model demonstrates the capability to block 100% of attack prompts. The approach also auto-suggests safer prompt alternatives, thereby bolstering language model security. Quantitatively evaluated defense layers and an ethical substitution mechanism represent key innovations to counter sophisticated attacks. The integrated methodology not only fortifies smaller LLMs against emerging cyber threats but also guides the broader application of LLMs in a secure and ethical manner.展开更多
Formaldehyde is an air toxic that is typically emitted from natural gas-fired internal combustion engines as a product of incomplete combustion. The United States Environmental Protection Agency (EPA) regulates air to...Formaldehyde is an air toxic that is typically emitted from natural gas-fired internal combustion engines as a product of incomplete combustion. The United States Environmental Protection Agency (EPA) regulates air toxic emissions, including formaldehyde, from stationary reciprocating internal combustion engines. National air toxic standards are required under the 1990 Clean Air Act Amendments. This work investigates the effect that hardware modifications, or retrofit technologies, have on formaldehyde emissions from a large bore natural gas engine. The test engine is a Cooper-Bessemer GMV-4TF two stroke cycle engine with a 14” (35.6 cm) bore and a 14” (35.6 cm) stroke. The impact of modifications to the fuel injection and ignition systems are investigated. Data analysis and discussion is performed with reference to possible formaldehyde formation mechanisms and in-cylinder phenomena. The results show that high pressure fuel injection (HPFI) and precombustion chamber (PCC) ignition significantly reduce formaldehyde展开更多
we treated 278 cases of bronchiectasic hemoptysis with point injection ofHerba Houttuynia solution.The injected points,among which Kongzui(LU6)was the mainpoint,were selected according to the differentiation of syndro...we treated 278 cases of bronchiectasic hemoptysis with point injection ofHerba Houttuynia solution.The injected points,among which Kongzui(LU6)was the mainpoint,were selected according to the differentiation of syndromes.As a result,217 caseswere improved,40 markedly cured ,40 markedly improved.12 improved and 9 not improved.The total effective rate reached 95.5%.展开更多
Micro powder injection molding (μPIM),a miniaturized variant of powder injection molding,has advantages of shape complexity,applicability to many materials and good mechanical properties. Co-injection molding has bee...Micro powder injection molding (μPIM),a miniaturized variant of powder injection molding,has advantages of shape complexity,applicability to many materials and good mechanical properties. Co-injection molding has been realized between met-als and ceramics on micro components,which become the first breakthrough within the PIM field. Combined with the prominent characteristics of high features/cost ratio,micro powder injection molding becomes a potential technique for large scale production of intricate and three-dimensional micro components or micro-structured components in microsystems technology (MST) field.展开更多
The aims of this study were to develop an HPLC-MS/MS method for the trace determination of senecionine (SEN) and senecionine N-oxide (SENNOX) in honey samples with simple dilution and to optimize the strategy for larg...The aims of this study were to develop an HPLC-MS/MS method for the trace determination of senecionine (SEN) and senecionine N-oxide (SENNOX) in honey samples with simple dilution and to optimize the strategy for large volume injection (LVI). In the method development, the quantity of sugar, injection volume and sample pH were optimized to increase the efficiency and the retention factor of the analytes. Figures of merit of the proposed method include: good linearity (R2 > 0.99), limits of detection of 57 and 59 ng·kg﹣1 for SEN and SENNOX, respectively, and recovery in the range of 83.4% - 123%. The values for the instrumental precision in relation to the retention time and peak area were 0.65% and 7.1%, respectively, and for the intra-day precision they were greater than 0.95% and 9.7% for SEN and SENNOX, respectively. The LVI-HPLC-MS/MS procedure developed was applied to honey samples prepared by simple dilution with deionized water (1:8 w/w) and the pH was adjusted to 9.5 with NH4OH. The sample volume injected was 100 μL;concentrations in natural and industrialized honey were ﹤LOQ - 1071.3 μg·kg﹣1 for SEN and ﹤LOD - 16.9 μg·kg﹣1 for SENNOX.展开更多
Interaction between fuel and air in a combustion chamber is one of the main drivers of the mixing process.Experimentally,flow visualizations are limited by high droplet density in the spray.Numerically,the ability of ...Interaction between fuel and air in a combustion chamber is one of the main drivers of the mixing process.Experimentally,flow visualizations are limited by high droplet density in the spray.Numerically,the ability of large eddy simulations(LES)to resolve large scales of flow offers good perspectives on capturing flow structures issued from the interaction between the Lagrangian(fuel droplets)and Eulerian(ambient gas)phases.This study examined these interactions first during a single injection using 3D and 2D criteria for both phases.As for the 3D criteria,the spray shape was analyzed in parallel to the Q-criteria applied to the Eulerian phase,making it possible to relate the spray deformations to some specific Eulerian structures.Secondly,2D criteria were the fuel mass-fraction field and Eulerian streamlines,both taken in the mid-plane of the spray.This last analysis allows for identifying certain mechanisms involved in the Eulerian phase’s structure generation and relates it to high fuel-concentration areas in the fuel mass-fraction visualizations.展开更多
文摘AIM To prospectively evaluate the efficacy of submucosal injection of platelet-rich plasma(PRP) on endoscopic resection of large sessile lesions.METHODS Eleven patients were submitted to endoscopic mucosal resection(EMR) with prior injection of PRP, obtained at the time of endoscopy. Patients were followed during 1 mo. The incidence of adverse events(delayed bleeding or perforation) and the percentage of mucosal healing(MHR) after 4 wk were registered. RESULTS EMR was performed in 11 lesions(46.4 mm ± 4 mm, range 40-70 mm). Delayed bleeding or perforation was not observed in any patient. Mean ulcerated area atbaseline was 22.7 cm^2 ± 11.7 cm^2 whereas at week 4 were 2.9 cm^2 ± 1.5 cm^2. Patients treated with PRP showed a very high MHR after 4 wk(87.5%). CONCLUSION PRP is an easy-to-obtain solution with proven and favourable biological activities that could be used in advanced endoscopic resection.
文摘Large Language Models (LLMs) have revolutionized Generative Artificial Intelligence (GenAI) tasks, becoming an integral part of various applications in society, including text generation, translation, summarization, and more. However, their widespread usage emphasizes the critical need to enhance their security posture to ensure the integrity and reliability of their outputs and minimize harmful effects. Prompt injections and training data poisoning attacks are two of the most prominent vulnerabilities in LLMs, which could potentially lead to unpredictable and undesirable behaviors, such as biased outputs, misinformation propagation, and even malicious content generation. The Common Vulnerability Scoring System (CVSS) framework provides a standardized approach to capturing the principal characteristics of vulnerabilities, facilitating a deeper understanding of their severity within the security and AI communities. By extending the current CVSS framework, we generate scores for these vulnerabilities such that organizations can prioritize mitigation efforts, allocate resources effectively, and implement targeted security measures to defend against potential risks.
文摘This paper introduces a novel multi-tiered defense architecture to protect language models from adversarial prompt attacks. We construct adversarial prompts using strategies like role emulation and manipulative assistance to simulate real threats. We introduce a comprehensive, multi-tiered defense framework named GUARDIAN (Guardrails for Upholding Ethics in Language Models) comprising a system prompt filter, pre-processing filter leveraging a toxic classifier and ethical prompt generator, and pre-display filter using the model itself for output screening. Extensive testing on Meta’s Llama-2 model demonstrates the capability to block 100% of attack prompts. The approach also auto-suggests safer prompt alternatives, thereby bolstering language model security. Quantitatively evaluated defense layers and an ethical substitution mechanism represent key innovations to counter sophisticated attacks. The integrated methodology not only fortifies smaller LLMs against emerging cyber threats but also guides the broader application of LLMs in a secure and ethical manner.
文摘Formaldehyde is an air toxic that is typically emitted from natural gas-fired internal combustion engines as a product of incomplete combustion. The United States Environmental Protection Agency (EPA) regulates air toxic emissions, including formaldehyde, from stationary reciprocating internal combustion engines. National air toxic standards are required under the 1990 Clean Air Act Amendments. This work investigates the effect that hardware modifications, or retrofit technologies, have on formaldehyde emissions from a large bore natural gas engine. The test engine is a Cooper-Bessemer GMV-4TF two stroke cycle engine with a 14” (35.6 cm) bore and a 14” (35.6 cm) stroke. The impact of modifications to the fuel injection and ignition systems are investigated. Data analysis and discussion is performed with reference to possible formaldehyde formation mechanisms and in-cylinder phenomena. The results show that high pressure fuel injection (HPFI) and precombustion chamber (PCC) ignition significantly reduce formaldehyde
文摘we treated 278 cases of bronchiectasic hemoptysis with point injection ofHerba Houttuynia solution.The injected points,among which Kongzui(LU6)was the mainpoint,were selected according to the differentiation of syndromes.As a result,217 caseswere improved,40 markedly cured ,40 markedly improved.12 improved and 9 not improved.The total effective rate reached 95.5%.
基金National Basic Research Program of China (Grant No. 2004CB719802)Hi-Tech Research and Development Program of China (Grant No. 2006AA03Z113)
文摘Micro powder injection molding (μPIM),a miniaturized variant of powder injection molding,has advantages of shape complexity,applicability to many materials and good mechanical properties. Co-injection molding has been realized between met-als and ceramics on micro components,which become the first breakthrough within the PIM field. Combined with the prominent characteristics of high features/cost ratio,micro powder injection molding becomes a potential technique for large scale production of intricate and three-dimensional micro components or micro-structured components in microsystems technology (MST) field.
文摘The aims of this study were to develop an HPLC-MS/MS method for the trace determination of senecionine (SEN) and senecionine N-oxide (SENNOX) in honey samples with simple dilution and to optimize the strategy for large volume injection (LVI). In the method development, the quantity of sugar, injection volume and sample pH were optimized to increase the efficiency and the retention factor of the analytes. Figures of merit of the proposed method include: good linearity (R2 > 0.99), limits of detection of 57 and 59 ng·kg﹣1 for SEN and SENNOX, respectively, and recovery in the range of 83.4% - 123%. The values for the instrumental precision in relation to the retention time and peak area were 0.65% and 7.1%, respectively, and for the intra-day precision they were greater than 0.95% and 9.7% for SEN and SENNOX, respectively. The LVI-HPLC-MS/MS procedure developed was applied to honey samples prepared by simple dilution with deionized water (1:8 w/w) and the pH was adjusted to 9.5 with NH4OH. The sample volume injected was 100 μL;concentrations in natural and industrialized honey were ﹤LOQ - 1071.3 μg·kg﹣1 for SEN and ﹤LOD - 16.9 μg·kg﹣1 for SENNOX.
文摘Interaction between fuel and air in a combustion chamber is one of the main drivers of the mixing process.Experimentally,flow visualizations are limited by high droplet density in the spray.Numerically,the ability of large eddy simulations(LES)to resolve large scales of flow offers good perspectives on capturing flow structures issued from the interaction between the Lagrangian(fuel droplets)and Eulerian(ambient gas)phases.This study examined these interactions first during a single injection using 3D and 2D criteria for both phases.As for the 3D criteria,the spray shape was analyzed in parallel to the Q-criteria applied to the Eulerian phase,making it possible to relate the spray deformations to some specific Eulerian structures.Secondly,2D criteria were the fuel mass-fraction field and Eulerian streamlines,both taken in the mid-plane of the spray.This last analysis allows for identifying certain mechanisms involved in the Eulerian phase’s structure generation and relates it to high fuel-concentration areas in the fuel mass-fraction visualizations.
